275 results on '"Murthy, GVS"'
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2. Do Gestational Obesity and Gestational Diabetes Have an Independent Effect on Neonatal Adiposity? Results of Mediation Analysis from a Cohort Study in South India.
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Babu, Giridhara R, Deepa, R, Lewis, Melissa Glenda, Lobo, Eunice, Krishnan, Anjaly, Ana, Yamuna, Katon, Jodie G, Enquobahrie, Daniel A, Arah, Onyebuchi A, Kinra, Sanjay, and Murthy, Gvs
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GDM ,childhood obesity ,mediation effects ,obesity in pregnancy ,skinfold thickness ,Clinical Sciences ,Public Health and Health Services - Abstract
Purpose:Neonates born to mothers with obesity or gestational diabetes mellitus (GDM) have an increased chance of various metabolic disorders later in life. In India, it is unclear whether maternal obesity or GDM is related to offspring adiposity. We aimed to understand the independent effect of maternal obesity and GDM with neonatal adiposity and whether GDM has a mediating effect between maternal obesity and neonatal adiposity. Methods:We recruited a cohort of 1120 women (between April 2016 and February 2019) from the public hospitals in Bangalore, India, who voluntarily agreed to participate and provided written informed consent. The primary outcome was neonatal adiposity, defined as the sum of skinfold thickness >85th percentile. Exposure included maternal obesity, defined as >90th percentile of skinfold thickness. GDM, the potential mediator, was classified using the World Health Organization criteria by oral glucose tolerance test. Binary logistic regression was applied to test the effect of maternal obesity and GDM on neonatal adiposity, adjusting for potential confounders. We used Paramed command in STATA version 14 for analyzing mediating effects. Results:We found that maternal obesity (odds ratio (OR)=2.16, 95% CI 1.46, 3.18) and GDM (OR=2.21, 95% CI1.38, 3.52) have an independent effect on neonatal adiposity. GDM significantly mediates 25.2% of the total effect between maternal obesity and neonatal adiposity, (natural direct effect OR = 1.16 95% CI 1.04, 1.30) with significant direct effect of maternal obesity (natural direct effect OR = 1.90 95% CI 1.16, 3.10) and significant total effect (OR=2.20 95% CI 1.35, 3.58). Conclusion:We showed that maternal obesity and GDM are independently associated with offspring adiposity. Also, GDM mediates the association of maternal obesity on adiposity in children. Interventions focused on obesity prevention in women, and effective screening and management of GDM may contribute to reducing childhood obesity in India.
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- 2019
3. Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17
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Wiens, Kirsten E, Lindstedt, Paulina A, Blacker, Brigette F, Johnson, Kimberly B, Baumann, Mathew M, Schaeffer, Lauren E, Abbastabar, Hedayat, Sr, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Sr, Adekanmbi, Victor, Adetokunboh, Olatunji O, Sr, Adhena, Beyene Meressa, Afarideh, Mohsen, Ahmad, Sohail, Ahmadi, Keivan, Ahmed, Anwar E, Ahmed, Muktar Beshir, Ahmed, Rushdia, Akalu, Temesgen Yihunie, Alahdab, Fares, Al-Aly, Ziyad, Alam, Noore, Sr, Alam, Samiah, Alamene, Genet Melak, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Ali, Beriwan Abdulqadir, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Sr, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Amini, Saeed, Sr, Amit, Arianna Maever L, Sr, Andrei, Catalina Liliana, Sr, Anjomshoa, Mina, Anoushiravani, Amir, Sr, Ansari, Fereshteh, Antonio, Carl Abelardo T, Antony, Benny, Antriyandarti, Ernoiz, Arabloo, Jalal, Aref, Hany Mohamed Amin, Sr, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Sr, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Atalay, Hagos Tasew, Athari, Seyyed Shamsadin, Sr, Athari, Seyyede Masoume, Atre, Sachin R, Ausloos, Marcel, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Sr, Aynalem IV, Yared Asmare, Azari, Samad, Azzopardi, Peter S, Babaee, Ebrahim, Babalola, Tesleem Kayode, Badawi, Alaa, Sr, Bairwa, Mohan, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Bali, Ayele Geleto, Banach, Maciej, Sr, Banoub, Joseph Adel Mattar, Sr, Barac, Aleksandra, Bärnighausen, Till Winfried, Basaleem, Huda, Basu, Sanjay, Bay, Vo Dinh, Bayati, Mohsen, Baye, Estifanos, Bedi, Neeraj, Beheshti, Mahya Mahya Beheshti, 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Mohammed, Jemal Abdu, Sr, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moodley, Yoshan, Sr, Moore, Catrin E, Sr, Moradi, Ghobad, Moradi, Masoud, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moraga, Paula, Morales, Linda, Moreno Velásquez, Ilais, Mosapour, Abbas, Mouodi, Simin, Mousavi, Seyyed Meysam, Mozaffor I, Miliva, Muchie, Kindie Fentahun, Sr, Mulaw, Getahun Fentaw, Sr, Munro, Sandra B, Muriithi, Moses K, Murray, Christopher J L, Murthy, GVS, Musa, Kamarul Imran, Mustafa, Ghulam, Sr, Muthupandian, Saravanan, Sr, Nabhan, Ashraf F, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naidoo, Kovin S, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Sr, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Sr, Nazari, Javad, Ndwandwe, Duduzile Edith, Sr, Negoi, Ionut, Sr, Netsere, Henok Biresaw Netsere, Sr, Ngunjiri, Josephine W, Sr, Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nigatu, Dabere, Nigatu, Solomon Gedlu, Ningrum, Dina Nur 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Santric-Milicevic, Milena M, Sao Jose, Bruno Piassi, Saraswathy, Sivan Yegnanarayana Iyer, Sarkar, Kaushik, Sr, Sarker, Abdur Razzaque, Sarrafzadegan I, Nizal, Sartorius, Benn, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sawhney, Monika, Saxena, Sonia, Sr, Schwebel, David C, Sr, Senbeta IV, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Sr, Shabaninejad, Hosein, Shafieesabet, Azadeh, Sr, Shaikh, Masood Ali, Shalash, Ali S, Sr, Shallo, Seifadin Ahmed, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomars, Sharifi, Hamid, Shehata, Hatem Samir, Sr, Sheikh, Aziz, Shetty, B Suresh Kumar, Sr, Shibuya, Kenji, Sr, Shiferaw, Wondimeneh Shibabaw, Sr, Shifti, Desalegn Markos, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Sr, Shirkoohi, Reza, Siabani, Soraya, Siddiqi, Tariq Jamal, Silva, Diego Augusto Santos, Singh, Ambrish, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sisay, Malede Mequanent, Skiadaresi, Eirini, Sobhiyeh, Mohammad Reza, Sr, Sokhan, Anton, Soltani, Shahin, Somayaji, Ranjani, Soofi, Moslem, Sorrie, Muluken Bekele, Sr, Soyiri, Ireneous N, Sreeramareddy, Chandrashekhar T, Sudaryanto, Agus, Sufiyan, Mu'awiyyah Babale, Sr, Suleria, Hafiz Ansar Rasul, Sultana, Marufa, Sunguya, Bruno Fokas, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadesse, Degena Bahrey, Jr, Tarigan, Ingan Ukur, Tasew, Aberash Abay, Tefera, Yonatal Mesfin, Sr, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Tesfay I, Berhe Etsay, Tesfay, Fisaha Haile Haile, Tessema, Belay, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Toma, Alemayehu Toma, Sr, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto Roberto, Traini, Eugenio, Tran, Bach Xuan, Tran, Khanh Bao, Ullah, Irfan, Unnikrishnan, Bhaskaran, Usman, Muhammad Shariq, Sr, Uzochukwu, Benjamin S Chudi, Sr, Valdez, Pascual R, Varughese, Santosh, Sr, Violante, Francesco S, Sr, Vollmer, Sebastian, Sr, W/hawariat, Feleke Gebremeskel, Sr, Waheed, Yasir, Wallin, Mitchell Taylor, Wang, Yafeng, Wang, Yuan-Pang, Weaver, Marcia, Weji, Bedilu Girma, Weldesamuel, Girmay Teklay, Welgan, Catherine A, Werdecker, Andrea, Westerman, Ronny, Sr, Wiangkham, Taweewat, Wiysonge, Charles Shey, Sr, Wolde, Haileab Fekadu, Sr, Wondafrash, Dawit Zewdu, Wonde, Tewodros Eshete, Sr, Worku, Getasew Taddesse, Sr, Wu, Ai-Min, Xu, Gelin, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Sr, Yatsuya, Hiroshi, Yeshaneh, Alex, Yilgwan, Christopher Sabo, Yilma, Mekdes Tigistu, Yip, Paul, Sr, Yisma, Engida, Yonemoto, Naohiro, Sr, Yoon, Seok-Jun, Younis, Mustafa Z, Yousefifard, Mahmoud, Yousof, Hebat-Allah Salah A, Yu, Chuanhua, Yusefzadeh, Hasan, Zadey, Siddhesh, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zandian, Hamed, Zepro, Nejimu Biza, Zerfu, Taddese Alemu, Zhang, Yunquan, Zhao, Xiu-Ju George, Ziapour, Arash, Zodpey, Sanjay, Sr, Zuniga, Yves Miel H, Hay, Simon I, and Reiner, Robert C, Jr
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- 2020
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4. Mid-upper arm circumference in pregnant women and birth weight in newborns as substitute for skinfold thickness: findings from the MAASTHI cohort study, India
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Babu, Giridhara R., Das, Aritra, Lobo, Eunice, R, Deepa, John, Daisy A., Thankachan, Prashanth, Khetrapal, Sonalini, Benjamin-Neelon, Sara E., and Murthy, GVS
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- 2021
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5. Do Gestational Obesity and Gestational Diabetes Have an Independent Effect on Neonatal Adiposity? Results of Mediation Analysis from a Cohort Study in South India
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Babu GR, Deepa R, Lewis MG, Lobo E, Krishnan A, Ana Y, Katon JG, Enquobahrie DA, Arah OA, Kinra S, and Murthy GVS
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mediation effects ,skinfold thickness ,gdm ,obesity in pregnancy ,childhood obesity ,Infectious and parasitic diseases ,RC109-216 - Abstract
Giridhara R Babu,1 R Deepa,1 Melissa Glenda Lewis,2 Eunice Lobo,1 Anjaly Krishnan,1 Yamuna Ana,1 Jodie G Katon,3,4 Daniel A Enquobahrie,5 Onyebuchi A Arah,6–8 Sanjay Kinra,9 GVS Murthy2,10 1Indian Institute of Public Health-Bangalore, Public Health Foundation of India (PHFI), Bangalore, India; 2Indian Institute of Public Health-Hyderabad, Public Health Foundation of India (PHFI), Hyderabad, India; 3Health Services Research and Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA, USA; 4Department of Health Services, University of Washington, Seattle, WA, USA; 5Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA; 6Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA; 7California Center for Population Research, University of California, Los Angeles (UCLA), Los Angeles, CA, USA; 8UCLA Center for Health Policy Research, Los Angeles, CA, USA; 9Non-communicable Disease Epidemiology , London School of Hygiene & Tropical Medicine and, University College London Hospital, London, UK; 10International Centre for Eye Health, Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UKCorrespondence: Giridhara R BabuIndian Institute of Public Health-Bangalore, Public Health Foundation of India (PHFI), Bangalore, India, Besides Leprosy Hospital, 1st Cross, Magadi Road, Bangalore 560023, IndiaEmail giridhar@iiphh.orgPurpose: Neonates born to mothers with obesity or gestational diabetes mellitus (GDM) have an increased chance of various metabolic disorders later in life. In India, it is unclear whether maternal obesity or GDM is related to offspring adiposity. We aimed to understand the independent effect of maternal obesity and GDM with neonatal adiposity and whether GDM has a mediating effect between maternal obesity and neonatal adiposity.Methods: We recruited a cohort of 1120 women (between April 2016 and February 2019) from the public hospitals in Bangalore, India, who voluntarily agreed to participate and provided written informed consent. The primary outcome was neonatal adiposity, defined as the sum of skinfold thickness >85th percentile. Exposure included maternal obesity, defined as >90th percentile of skinfold thickness. GDM, the potential mediator, was classified using the World Health Organization criteria by oral glucose tolerance test. Binary logistic regression was applied to test the effect of maternal obesity and GDM on neonatal adiposity, adjusting for potential confounders. We used Paramed command in STATA version 14 for analyzing mediating effects.Results: We found that maternal obesity (odds ratio (OR)=2.16, 95% CI 1.46, 3.18) and GDM (OR=2.21, 95% CI1.38, 3.52) have an independent effect on neonatal adiposity. GDM significantly mediates 25.2% of the total effect between maternal obesity and neonatal adiposity, (natural direct effect OR = 1.16 95% CI 1.04, 1.30) with significant direct effect of maternal obesity (natural direct effect OR = 1.90 95% CI 1.16, 3.10) and significant total effect (OR=2.20 95% CI 1.35, 3.58).Conclusion: We showed that maternal obesity and GDM are independently associated with offspring adiposity. Also, GDM mediates the association of maternal obesity on adiposity in children. Interventions focused on obesity prevention in women, and effective screening and management of GDM may contribute to reducing childhood obesity in India.Keywords: mediation effects, skinfold thickness, GDM, obesity in pregnancy, childhood obesity
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- 2019
6. Targeting the vision of workers: World Sight Day 2023
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Murthy, GVS, primary
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- 2023
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7. The prevalence and determinants of pregnancy-related anxiety amongst pregnant women at less than 24 weeks of pregnancy in Bangalore, Southern India
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Nath A, Venkatesh S, Balan S, Metgud CS, Krishna M, and Murthy GVS
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Anxiety ,Pregnancy ,Prevalence ,Determinants ,India ,Gynecology and obstetrics ,RG1-991 - Abstract
Anita Nath,1 Shubhashree Venkatesh,1 Sheeba Balan,1 Chandra S Metgud,2 Murali Krishna,3 Gudlavalleti Venkata Satyanarayana Murthy4,51Indian Institute of Public Health Hyderabad-Bangalore Campus, Public Health Foundation of India, Bangalore, Karnataka, India; 2Department of Community Medicine, J.N. Medical College, KLE University, Belgavi, Karnataka, India; 3FRAMe, Mysore, Karnataka, India; 4Indian Institute of Public Health Hyderabad, Public Health Foundation of India, Hyderabad, Telangana, India; 5Department of Clinical Research, International Center for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UKBackground: A pregnant woman undergoes physiological as well as psychological changes during this phase of life during which anxiety is a commonly faced mental condition. There is sufficient evidence on the association of pregnancy specific anxiety with adverse pregnancy outcomes. Studies on anxiety during pregnancy from low and middle income countries are limited.Methods: This study included 380 pregnant women, having a confirmed pregnancy of less than 24 weeks without any obstetric complication, who were availing of antenatal care at a public sector hospital in Bangalore city. Pregnancy-related thoughts (PRT) scale was used to screen for anxiety. Details pertaining to sociodemographic data, obstetric history, psychosocial factors including social support, marital discord, domestic violence, consanguinity, history of catastrophic events, history of mental illness, current presence of depression and anxiety was obtained by means of electronic data capture using an Android-based App.Results: Out of 380 pregnant women, 195 (55.7%) were found to have pregnancy-related anxiety. Lower socioeconomic status, low social support and depression emerged as significant determinants of anxiety.Conclusion: The prevalence of anxiety was fairly high in the study population and isp therefore an important public health concern. Pregnancy-related anxiety must be identified early during routine antenatal care to prevent any untoward pregnancy outcomes.Keywords: anxiety, pregnancy, prevalence, determinants, India
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- 2019
8. Muhlenbergia myanmarensis a new name for M. fasciculata T.P.I. Phan. (Poaceae)
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Arumugam, S, Murthy, GVS, Nair, VJ, and BHL Australia
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- 2015
9. Design and delivery of the Refractive Errors Among Children (REACH) school-based eye health programme in India.
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Sil, Asim, Aggarwal, Prachi, Sil, Subhra, Mitra, Ankita, Jain, Elesh, Sheeladevi, Sethu, and Murthy, GVS
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REFRACTIVE errors ,HEALTH programs ,COMMUNITY-based programs ,PATIENT monitoring ,ROWING ,VISION testing ,SCHOOL children - Abstract
Optimisation of vision screening programmes can result the detection of refractive anomalies in a high proportion of school children. The Refractive Errors Among Children (REACH) programme aims to optimise outcomes of school-based vision screening in India by collaborating with hospitals and monitoring eye care throughout school attendance. REACH delivers school vision screening using pocket vision screeners (cards presenting rows of seven 0.2 logMAR Sloan letters at a 3 m viewing distance) in five states across India. Children who fail screening are referred for detailed evaluation including refraction, those requiring cycloplegic refraction are referred to partner hospitals. Spectacles are dispensed as needed and compliance is assessed. All data are recorded electronically. Out of 2,240,805 children aged 5 to 18 (mean 11.5; SD ±3.3) years, 2,024,053 have undergone REACH screening in 10,309 schools predominantly in rural locations (78.7%) and government-funded (76%). Of those screened, 174,706 (8.6%) underwent detailed evaluation. A higher proportion of children in private or urban schools (11.8% and 10.4% respectively) were referred for detailed evaluation than those in government-funded or rural schools (5.9% and 7.2%, respectively; p < 0.001). The proportion referred for detailed evaluation differed by state (p < 0.001), from 4.0% in West Bengal to 14.4% in Kerala. The REACH programme screened a high proportion of school children, providing further care and follow-up to optimise visual outcomes. [ABSTRACT FROM AUTHOR]
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- 2023
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10. Projected Cancer Burden, Challenges, and Barriers to Cancer Prevention and Control Activities in the State of Telangana
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Mahajan, Hemant, primary, Neha, Reddy M, additional, Devi, NG Marina, additional, Poli, Usha Rani, additional, Jayaram, M, additional, Tetali, Shailaja, additional, and Murthy, GVS, additional
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- 2022
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11. Design and delivery of the Refractive Errors Among Children (REACH) school-based eye health programme in India
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Sil, Asim, primary, Aggarwal, Prachi, additional, Sil, Subhra, additional, Mitra, Ankita, additional, Jain, Elesh, additional, Sheeladevi, Sethu, additional, and Murthy, GVS, additional
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- 2022
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12. Grand Challenges in global eye health: a global prioritisation process using Delphi method
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Ramke, J, Evans, JR, Habtamu, E, Mwangi, N, Silva, JC, Swenor, BK, Congdon, N, Faal, HB, Foster, A, Friedman, DS, Gichuhi, S, Jonas, JB, Khaw, P, Kyari, F, Murthy, GVS, Wang, N, Wong, TY, Wormald, R, Yusufu, M, Taylor, H, Resnikoff, S, West, SK, Burton, MJ, Ramke, J, Evans, JR, Habtamu, E, Mwangi, N, Silva, JC, Swenor, BK, Congdon, N, Faal, HB, Foster, A, Friedman, DS, Gichuhi, S, Jonas, JB, Khaw, P, Kyari, F, Murthy, GVS, Wang, N, Wong, TY, Wormald, R, Yusufu, M, Taylor, H, Resnikoff, S, West, SK, and Burton, MJ
- Abstract
BACKGROUND: We undertook a Grand Challenges in Global Eye Health prioritisation exercise to identify the key issues that must be addressed to improve eye health in the context of an ageing population, to eliminate persistent inequities in health-care access, and to mitigate widespread resource limitations. METHODS: Drawing on methods used in previous Grand Challenges studies, we used a multi-step recruitment strategy to assemble a diverse panel of individuals from a range of disciplines relevant to global eye health from all regions globally to participate in a three-round, online, Delphi-like, prioritisation process to nominate and rank challenges in global eye health. Through this process, we developed both global and regional priority lists. FINDINGS: Between Sept 1 and Dec 12, 2019, 470 individuals complete round 1 of the process, of whom 336 completed all three rounds (round 2 between Feb 26 and March 18, 2020, and round 3 between April 2 and April 25, 2020) 156 (46%) of 336 were women, 180 (54%) were men. The proportion of participants who worked in each region ranged from 104 (31%) in sub-Saharan Africa to 21 (6%) in central Europe, eastern Europe, and in central Asia. Of 85 unique challenges identified after round 1, 16 challenges were prioritised at the global level; six focused on detection and treatment of conditions (cataract, refractive error, glaucoma, diabetic retinopathy, services for children and screening for early detection), two focused on addressing shortages in human resource capacity, five on other health service and policy factors (including strengthening policies, integration, health information systems, and budget allocation), and three on improving access to care and promoting equity. INTERPRETATION: This list of Grand Challenges serves as a starting point for immediate action by funders to guide investment in research and innovation in eye health. It challenges researchers, clinicians, and policy makers to build collaborations to address
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- 2022
13. Prevalence and causes of musculoskeletal impairment in Mahabubnagar District, Telangana State, India: results of a population-based survey
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Smythe, Tracey, Mactaggart, Islay, Kuper, Hannah, Murthy, GVS, Lavy, Christopher, and Polack, Sarah
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- 2017
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14. Exploring the Use of Washington Group Questions to Identify People with Clinical Impairments Who Need Services including Assistive Products: Results from Five Population-Based Surveys
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Boggs, Dorothy, primary, Kuper, Hannah, additional, Mactaggart, Islay, additional, Bright, Tess, additional, Murthy, GVS, additional, Hydara, Abba, additional, McCormick, Ian, additional, Tamblay, Natalia, additional, Alvarez, Matias L., additional, Atijosan-Ayodele, Oluwarantimi, additional, Yonso, Hisem, additional, Foster, Allen, additional, and Polack, Sarah, additional
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- 2022
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15. Epidemiological study of ocular trauma in an urban slum population in Delhi, India
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Vats S, Murthy GVS, Chandra M, Gupta S, Vashist P, and Gogoi M
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Epidemiology ,ocular trauma ,urban ,Ophthalmology ,RE1-994 - Abstract
Purpose: To study the epidemiology and clinical profile of victims of ocular trauma in an urban slum population. Materials and Methods: This cross-sectional study, conducted on 500 families each in three randomly selected urban slums in Delhi, collected demographic data for all members of these families, and clinical data for all those who suffered ocular trauma at any time, that required medical attention. Data was managed on SPSS 11.0. Results: Of 6704 participants interviewed, 163 episodes of ocular trauma were reported by 158 participants (prevalence = 2.4%, confidence interval = 2.0 to 2.7) Mean age at trauma was 24.2 years. The association between the age of participants and the history of ocular trauma was significant ( P < 0.001), when adjusted for sex, education and occupation. Males were significantly more affected. Blunt trauma was the commonest mode of injury (41.7%). Blindness resulted in 11.4% of injured eyes ( P = 0.028). Of 6704 participants, 1567 (23.4%) were illiterate, and no association was seen between education status and trauma, when adjusted for sex and age at injury. A significant association was noted between ocular trauma and workplace (Chi-square = 43.80, P < 0.001), and between blindness and place (Chi-square = 9.98, P = 0.041) and source (Chi-square = 10.88, P = 0.028) of ocular trauma. No association was found between visual outcome and the time interval between trauma and first consultation (Chi-square = 0.50, P = 0.78), between receiving treatment and the best corrected visual acuity (Chi-square = 0.81, P = 0.81), and between the person consulted and blinding ocular trauma (Chi-square = 1.88, P = 0.170). Conclusion: A significant burden of ocular trauma in the community requires that its prevention and early management be a public health priority.
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- 2008
16. Status of pediatric eye care in India
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Murthy GVS, John N, Gupta S, Vashist P, and Rao G
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Childhood blindness ,eye care infrastructure ,pediatric eye care ,Ophthalmology ,RE1-994 - Abstract
Purpose: To document the status of pediatric eye care in India. Materials and Methods: A list of institutions providing eye care was compiled from various sources, including government officials, professional bodies of ophthalmologists, and national and international non-governmental organizations (NGO) working in the field of eye care in India. A questionnaire on eye care services was sent to all known eye care institutions in the country. Workshops and regional meetings were organized to maximize response. Validity of data was ensured by observational visits to 10% of the institutions who responded. Results: Out of 1204 institutions contacted, 668 (55.5%) responded to the questionnaire. Of these, 192 (28.7%) reported that they provided pediatric eye care services. A higher proportion (48.3%) of NGO hospitals reported separate pediatric ophthalmology units compared to other providers (P< 0.001). Eighty per cent of advanced care eye hospitals had dedicated outpatient, and 40% had dedicated inpatient facilities for children (P< 0.001). The advanced eye care hospitals attended to a larger number of pediatric clients (P < 0.001), and performed more pediatric eye surgeries compared to secondary and tertiary care hospitals (P < 0.001). Eighty-three per cent of advanced care centers and 72.4% of NGO hospitals had an anesthesiologist for pediatric eye service. Refractive error was the commonest reason for seeking service. The commonest surgical procedure was pediatric cataract surgery followed by squint surgery. Conclusion: Pediatric eye care services are not adequate in India.
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- 2008
17. Current status of cataract blindness and Vision 2020: The right to sight initiative in India
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Murthy GVS, Gupta Sanjeev, John Neena, and Vashist Praveen
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Blindness ,cataract ,the right to sight ,vision 2020 ,Ophthalmology ,RE1-994 - Abstract
Background: India is a signatory to the World Health Organization resolution on Vision 2020: The right to sight. Efforts of all stakeholders have resulted in increased number of cataract surgeries performed in India, but the impact of these efforts on the elimination of avoidable blindness is unknown. Aims: Projection of performance of cataract surgery over the next 15 years to determine whether India is likely to eliminate cataract blindness by 2020. Materials and Methods: Data from three national level blindness surveys in India over three decades, and projected age-specific population till 2020 from US Census Bureau were used to develop a model to predict the magnitude of cataract blindness and impact of Vision 2020: the right to sight initiatives. Results: Using age-specific data for those aged 50+ years it was observed that prevalence of blindness at different age cohorts (above 50 years) reduced over three decades with a peak in 1989. Projections show that among those aged 50+ years, the quantum of cataract surgery would double (3.38 million in 2001 to 7.63 million in 2020) and cataract surgical rate would increase from 24025/million 50+ in 2001 to 27817/million 50+ in 2020. Though the prevalence of cataract blindness would decrease, the absolute number of cataract blind would increase from 7.75 million in 2001 to 8.25 million in 2020 due to a substantial increase in the population above 50 years in India over this period. Conclusions: Considering existing prevalence and projected incidence of cataract blindness over the period 2001-2020, visual outcomes after cataract surgery and sight restoration rate, elimination of cataract blindness may not be achieved by 2020 in India.
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- 2008
18. Need for optical and low vision services for children in schools for the blind in North India
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Pal Nikhil, Titiyal Jeewan, Tandon Radhika, Vajpayee Rasik, Gupta Sanjeev, and Murthy GVS
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Childhood blindness ,India ,low vision ,spectacles ,Ophthalmology ,RE1-994 - Abstract
Context: Children admitted in blind schools need low vision assessment for improving functional vision (useful residual vision). Aim: To ascertain the need for spectacles and magnifiers as low vision devices (LVD) in children with useful residual vision, attending blind schools. Setting and Design: Cross-sectional study conducted in 13 blind schools in Delhi, North India. Materials and Methods: Of a total of 703 children (less than 16 years of age) examined, 133 (18.91%) with useful residual vision were refracted and analyzed. High addition plus lenses (range 5-30 diopters) were used as spectacle magnifiers for near LVD assessment. "World health organization (WHO)/ prevention of blindness (PBL) eye examination record for children with blindness and low vision", was used to collect data. SPSS (statistical package for the social science), version 10.0 was used for analysis. Results: Based on the vision of 133 children at initial examination, 70.7% children were blind and 12.0% were severely visually impaired (SVI). 20.3% children improved by at least one WHO category of blindness after refraction. With best correction, 50.4% children were still blind and 13.5% were SVI. Visual acuity in the better eye after refraction in 47 children (35.3%), improved with spectacles. Children with aphakia (17), coloboma (5), refractive error (5) and microphthalmos (4) benefited from spectacles. Of 124 children with low vision but having useful residual vision, 51 (41.1%) were able to read N-10 unaided or with distance spectacles and 30 children (22.6%) improved to N-10 with spectacle magnifiers and were prescribed the same. Conclusion: Visually impaired children with aphakia and congenital anomalies of the eye benefit from refraction and low vision services.
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- 2006
19. Interrogating and Reflecting on Disability Prevalence Data Collected Using the Washington Group Tools: Results from Population-Based Surveys in Cameroon, Guatemala, India, Maldives, Nepal, Turkey and Vanuatu
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Mactaggart, Islay, primary, Hasan Bek, Ammar, additional, Banks, Lena Morgon, additional, Bright, Tess, additional, Dionicio, Carlos, additional, Hameed, Shaffa, additional, Neupane, Shailes, additional, Murthy, GVS, additional, Orucu, Ahmed, additional, Oye, Joseph, additional, Naber, Jonathan, additional, Shakespeare, Tom, additional, Patterson, Andrea, additional, Polack, Sarah, additional, and Kuper, Hannah, additional
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- 2021
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20. Disability among Older People: Analysis of Data from Disability Surveys in Six Low- and Middle-Income Countries
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Prynn, Josephine E., primary, Polack, Sarah, additional, Mactaggart, Islay, additional, Banks, Lena Morgon, additional, Hameed, Shaffa, additional, Dionicio, Carlos, additional, Neupane, Shailes, additional, Murthy, GVS, additional, Oye, Joseph, additional, Naber, Jonathan, additional, and Kuper, Hannah, additional
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- 2021
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21. The socioeconomic impact of human immunodeficiency virus / acquired immune deficiency syndrome in India and its relevance to eye care
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Murthy GVS
- Subjects
Blindness ,human immunodeficiency virus ,social status ,Ophthalmology ,RE1-994 - Abstract
Human immunodeficiency virus (HIV) infection is aptly called the modern day ′plague′ and has the potential to decimate people in the productive age group. On the other hand, the increasing life expectancy in developing countries spirals age-related blindness. One therefore reduces economic productivity while the other increases economic dependency. Both lead to increased expenditure of households though in different proportions. Human immunodeficiency virus and blindness are both associated with discrimination, stigma and long-term consequences. They impact the socioeconomic fabric of the affected individuals, communities and countries. The loss in productivity and the cost of support to the affected individuals are seen in both. Each is a potent problem on its own but together they spell disaster in geometric proportions rather than a simple additive effect. Strategies need to be evolved to provide solace and improve the quality of life of an HIV-positive blind individual.
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- 2008
22. Mapping routine measles vaccination in low- and middle-income countries
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Sbarra, AN, Rolfe, S, Nguyen, JQ, Earl, L, Galles, NC, Marks, A, Abbas, KM, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abegaz, KH, Abiy, HAA, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abushouk, AI, Accrombessi, MMK, Adabi, M, Adebayo, OM, Adekanmbi, V, Adetokunboh, OO, Adham, D, Afarideh, M, Aghaali, M, Ahmad, T, Ahmadi, R, Ahmadi, K, Ahmed, MB, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemnew, BT, Ali, BA, Ali, M, Alijanzadeh, M, Alinia, C, Alipoor, R, Alipour, V, Alizade, H, Aljunid, SM, Almasi, A, Almasi-Hashiani, A, Al-Mekhlafi, HM, Altirkawi, KA, Amare, B, Amini, S, Amini-Rarani, M, Amiri, F, Amit, AML, Amugsi, DA, Ancuceanu, R, Andrei, CL, Anjomshoa, M, Ansari, F, Ansari-Moghaddam, A, Ansha, MG, Antonio, CAT, Antriyandarti, E, Anvari, D, Arabloo, J, Arab-Zozani, M, Aremu, O, Armoon, B, Aryal, KK, Arzani, A, Asadi-Aliabadi, M, Asgari, S, Atafar, Z, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Azadmehr, A, Azari, S, Babaee, E, Badawi, A, Badiye, AD, Bahrami, MA, Baig, AA, Bakhtiari, A, Balakrishnan, S, Banach, M, Banik, PC, Barac, A, Baradaran-Seyed, Z, Baraki, AG, Basu, S, Bayati, M, Bayou, YT, Bedi, N, Behzadifar, M, Bell, ML, Berbada, DA, Berhe, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Birhanu, M, Bisanzio, D, Biswas, A, Bohlouli, S, Bolla, SR, Borzouei, S, Brady, OJ, Bragazzi, NL, Briko, AN, Briko, NI, Nagaraja, SB, Butt, ZA, Cámera, LA, Campos-Nonato, IR, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castro, F, Chattu, VK, Chehrazi, M, Chin, KL, Chu, D-T, Cook, AJ, Cormier, NM, Cunningham, B, Dahlawi, SMA, Damiani, G, Dandona, R, Dandona, L, Danovaro, MC, Dansereau, E, Daoud, F, Darwesh, AM, Darwish, AH, Das, JK, Weaver, ND, De Neve, J-W, Demeke, FM, Demis, AB, Denova-Gutiérrez, E, Desalew, A, Deshpande, A, Desta, DM, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, Diaz, D, Dipeolu, IO, Djalalinia, S, Do, HT, Dorostkar, F, Doshmangir, L, Doyle, KE, Dunachie, SJ, Duraes, AR, Kalan, ME, Leylabadlo, HE, Edinur, HA, Effiong, A, Eftekhari, A, El, Sayed, I, El, Sayed, Zaki, M, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Elsharkawy, A, Emamian, MH, Enany, S, Eshrati, B, Eskandari, K, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, A, Etisso, AE, Farahmand, M, Faraon, EJA, Fareed, M, Faridnia, R, Farioli, A, Farzadfar, F, Fattahi, N, Fazlzadeh, M, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Foroutan, M, Fukumoto, T, Fullman, N, Gad, MM, Geberemariyam, BS, Gebrehiwot, TT, Gebrehiwot, AM, Gebremariam, KT, Gebremedhin, KB, Gebremeskel, GG, Gebreslassie, AA, Gedefaw, GA, Gezae, KE, Ghadiri, K, Ghaffari, R, Ghaffarifar, F, Ghajarzadeh, M, Gheshlagh, RG, Ghashghaee, A, Ghiasvand, H, Gholamian, A, Gilani, SA, Gill, PS, Girmay, A, Gomes, NGM, Gopalani, SV, Goulart, BNG, Grada, A, Guimarães, RA, Guo, Y, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Handiso, DW, Hanif, A, Haririan, H, Hasaballah, AI, Hasan, MM, Hasanpoor, E, Hasanzadeh, A, Hassanipour, S, Hassankhani, H, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Heydarpour, F, Hollerich, GI, Rad, EH, Hoogar, P, Hossain, N, Hosseini, M, Hosseinzadeh, M, Househ, M, Hu, G, Huda, TM, Humayun, A, Ibitoye, SE, Ikilezi, G, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani-Nasab, MH, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, SMS, Islam, MM, Iwu, CJ, Iwu, CCD, Jadidi-Niaragh, F, Jafarinia, M, Jahanmehr, N, Jakovljevic, M, Jalali, A, Jalilian, F, Javidnia, J, Jenabi, E, Jha, V, Ji, JS, John, O, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, Z, Kabir, A, Kalani, H, Kalankesh, LR, Kalhor, R, Kamal, Z, Kanchan, T, Kapoor, N, Karami, M, Matin, BK, Karch, A, Karimi, SE, Kayode, GA, Karyani, AK, Keiyoro, PN, Khader, YS, Khafaie, MA, Khammarnia, M, Khan, MS, Khan, EA, Khan, J, Khan, MN, Khatab, K, Khater, MM, Khatib, MN, Khayamzadeh, M, Khazaei, M, Khazaei, S, Khosravi, A, Khubchandani, J, Kianipour, N, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kolola, T, Komaki, H, Kosen, S, Koul, PA, Koyanagi, A, Kraemer, MUG, Krishan, K, Kuate Defo, B, Kumar, M, Kumar, P, Kumar, GA, Kusuma, D, La Vecchia, C, Lacey, B, Lad, SD, Lal, DK, Lam, F, Lami, FH, Lansingh, VC, Larson, HJ, Lasrado, S, Lee, SWH, Lee, PH, LeGrand, KE, Lenjebo, TL, Li, S, Liang, X, Liu, PY, Lopukhov, PD, Machado, DB, Mahasha, PW, Mahdavi, MM, Maheri, M, Mahotra, NB, Maled, V, Maleki, S, Malik, MA, Malta, DC, Mansour-Ghanaei, F, Mansouri, B, Mansourian, M, Mansournia, MA, Martins-Melo, FR, Masaka, A, Mayala, BK, Mehndiratta, MM, Mehri, F, Mehta, KM, Memiah, PTN, Mendoza, W, Menezes, RG, Mengesha, MB, Mengesha, EW, Mestrovic, T, Mihretie, KM, Miller-Petrie, MK, Mills, EJ, Milne, GJ, Mirabi, P, Mirrakhimov, EM, Mirzaei, R, Mirzaei, M, Mirzaei, HR, Mirzaei, H, Mirzaei-Alavijeh, M, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, DK, Mohammad, Y, Mohammad, KA, Mohammad Gholi Mezerji, N, Mohammadbeigi, A, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohammed, AS, Mohammed, H, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, MA, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Joo, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Mosapour, A, Mouodi, S, Mousavi, SM, Khaneghah, AM, Mueller, UO, Muluneh, AG, Munro, SB, Murray, CJL, Murthy, GVS, Muthupandian, S, Naderi, M, Nagarajan, AJ, Naghavi, M, Nangia, V, Nansseu, JR, Nayak, VC, Nazari, J, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, HLT, Nguyen, CTK, Nguyen, TH, Nigatu, YT, Nikbakhsh, R, Nikfar, S, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Oh, I-H, Oladnabi, M, Olagunju, AT, Olusanya, JO, Olusanya, BO, Bali, AO, Omer, MO, Onwujekwe, OE, Osgood-Zimmerman, AE, Owolabi, MO, P, A, M, Padubidri, JR, Pakshir, K, Pana, A, Pandey, A, Pando-Robles, V, Pashaei, T, Pasupula, DK, Paternina-Caicedo, AJ, Patton, GC, Pazoki Toroudi, H, Pepito, VCF, Pescarini, JM, Pigott, DM, Pilgrim, T, Pirsaheb, M, Poljak, M, Postma, MJ, Pourjafar, H, Pourmalek, F, Pourmirza, Kalhori, R, Prada, SI, Prakash, S, Quazi Syed, Z, Quintana, H, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rajati, F, Rameto, MA, Ramezanzadeh, K, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rawat, R, Renjith, V, Renzaho, AMN, Reshmi, B, Reta, MA, Rezaei, N, Rezai, MS, Rezapour, A, Riahi, SM, Ribeiro, AI, Rickard, J, Rios-Blancas, M, Rios-González, CM, Roever, L, Rostamian, M, Rubino, S, Rwegerera, GM, Saad, AM, Saadatagah, S, Sabour, S, Sadeghi, E, Moghaddam, SS, Saeidi, S, Sagar, R, Sahebkar, A, Sahraian, MA, Sajadi, SM, Salahshoor, MR, Salam, N, Salem, H, Salem, MR, Salomon, JA, Kafil, HS, Sambala, EZ, Samy, AM, Saraswathy, SYI, Sarmiento-Suárez, R, Saroshe, S, Sartorius, B, Sarveazad, A, Sathian, B, Sathish, T, Schaeffer, LE, Schwebel, DC, Senthilkumaran, S, Shabaninejad, H, Shahabi, S, Shaheen, AA, Shaikh, MA, Shalash, AS, Shams-Beyranvand, M, Shamsi, MB, Shamsizadeh, M, Sharafi, K, Sharifi, H, Sheikh, A, Sheikhtaheri, A, Shetty, RS, Shiferaw, WS, Shigematsu, M, Shin, JI, Shirkoohi, R, Siabani, S, Siddiqi, TJ, Silverberg, JIS, Simonetti, B, Singh, JA, Sinha, DN, Sinke, AH, Soheili, A, Sokhan, A, Soltani, S, Soofi, M, Sorrie, MB, Soyiri, IN, Spotin, A, Spurlock, EE, Sreeramareddy, CT, Sudaryanto, A, Sufiyan, MB, Suleria, HAR, Abdulkader, RS, Taherkhani, A, Tapak, L, Taveira, N, Taymoori, P, Tefera, YM, Tehrani-Banihashemi, A, Teklehaimanot, BF, Tekulu, GH, Tesfay, BE, Tessema, ZT, Tessema, B, Thankappan, KR, Tohidinik, HR, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Uddin, R, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vaezi, M, Valadan, Tahbaz, S, Valdez, PR, Vasseghian, Y, Veisani, Y, Violante, FS, Vollmer, S, Waheed, Y, Wakefield, J, Wang, Y, Wang, Y-P, Weldesamuel, GT, Werdecker, A, Westerman, R, Wiangkham, T, Wiens, KE, Wiysonge, CS, Woldu, G, Wondafrash, DZ, Wonde, TE, Wu, A-M, Yadollahpour, A, Jabbari, SHY, Yamada, T, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yip, P, Yonemoto, N, Younis, MZ, Yousefi, Z, Yousefifard, M, Yousefinezhadi, T, Yu, C, Yusefzadeh, H, Zadey, S, Zahirian, Moghadam, T, Zaki, L, Zaman, SB, Zamani, M, Zamanian, M, Zandian, H, Zangeneh, A, Zarei, F, Zerfu, TA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zhou, M, Ziapour, A, Hay, SI, Lim, SS, Mosser, JF, Local Burden of Disease Vaccine Coverage Collaborators, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), HUS Comprehensive Cancer Center, Clinicum, Department of Oncology, Sbarra, Alyssa N., Rolfe, Sam, Nguyen, Jason Q., Earl, Lucas, Ahmed, MB, Mosser, Jonathan F, Collaborators, Local Burden of Disease Vaccine Coverage, Bill & Melinda Gates Foundation, Alexander von Humboldt-Stiftung, Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Universiti Sains Malaysia (Malasia), Panjab University (India), NIHR - Oxford Biomedical Research Centre (Reino Unido), Australian Research Council, Instituto de Saúde Pública da Universidade do Porto, Local Burden Dis Educ Attainment C, Local Burden of Disease Vaccine Coverage Collaborator, and Violante FS
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and promotion of well-being ,Vacunación Masiva ,Internationality ,Disease prevention ,children under 5 years old ,Geographic Mapping ,Rural Health ,medicine.disease_cause ,Cross-reactivity ,0302 clinical medicine ,RA0421 ,Vaccination Refusal ,030212 general & internal medicine ,Child ,immunity patterns ,Pediatric ,0303 health sciences ,Public health ,Multidisciplinary ,biology ,Vaccination ,Uncertainty ,IMMUNIZATION ,3142 Public health care science, environmental and occupational health ,COVERAGE ,3. Good health ,TIME ,3.4 Vaccines ,Child, Preschool ,Infectious diseases ,A990 Medicine and Dentistry not elsewhere classified ,Antibody ,Engineering sciences. Technology ,AFRICA ,General Science & Technology ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,COVID-19 ,610 Medicine & health ,Global Vaccine Action Plan (GVAP) ,Local Burden of Disease Vaccine Coverage Collaborators ,Article ,Vaccine Related ,03 medical and health sciences ,measles vaccine ,Measels ,Low- and middle-income countries ,Local burden of disease ,Clinical Research ,medicine ,Humans ,Healthcare Disparities ,Preschool ,PROGRESS ,030304 developmental biology ,business.industry ,MORTALITY ,Developed Countries ,Prevention ,Comment ,Vacunación ,Urban Health ,Prevention of disease and conditions ,Virology ,Coronavirus ,Good Health and Well Being ,Cobertura de Vacunación ,biology.protein ,Immunization ,business ,Measles - Abstract
The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1–4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5–8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children., Although progress in the coverage of routine measles vaccination in children in low- and middle-income countries was made during 2000–2019, many countries remain far from the goal of 80% coverage in all districts by 2019.
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- 2021
23. Interrogating and Reflecting on Disability Prevalence Data Collected Using the Washington Group Tools: Results from Population-Based Surveys in Cameroon, Guatemala, India, Maldives, Nepal, Turkey and Vanuatu
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Mactaggart, I, Bek, AH, Banks, LM, Bright, T, Dionicio, C, Hameed, S, Neupane, S, Murthy, GVS, Orucu, A, Oye, J, Naber, J, Shakespeare, T, Patterson, A, Polack, S, Kuper, H, Mactaggart, I, Bek, AH, Banks, LM, Bright, T, Dionicio, C, Hameed, S, Neupane, S, Murthy, GVS, Orucu, A, Oye, J, Naber, J, Shakespeare, T, Patterson, A, Polack, S, and Kuper, H
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The Washington Group (WG) tools capture self-reported functional limitations, ranging from 6 domains in the Short Set (SS) to 11 in the Extended Set (ESF). Prevalence estimates can vary considerably on account of differences between modules and the different applications of them. We compare prevalence estimates by WG module, threshold, application and domain to explore these nuances and consider whether alternative combinations of questions may be valuable in reduced sets. We conducted secondary analyses of seven population-based surveys (analyses restricted to adults 18+) in Low- and Middle-Income Countries that used the WG tools. The prevalence estimates using the SS standard threshold (a lot of difficulty or higher in one or more domain) varied between 3.2% (95% Confidence Interval 2.9-3.6) in Vanuatu to 14.1% (12.2-16.2) in Turkey. The prevalence was higher using the ESF than the SS, and much higher (5 to 10-fold) using a wider threshold of "some" or greater difficulty. Two of the SS domains (communication, self-care) identified few additional individuals with functional limitations. An alternative SS replacing these domains with the psychosocial domains of anxiety and depression would identify more participants with functional limitations for the same number of items. The WG tools are valuable for collecting harmonised population data on disability. It is important that the impact on prevalence of use of different modules, thresholds and applications is recognised. An alternative SS may capture a greater proportion of people with functional domains without increasing the number of items.
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- 2021
24. The Lancet Global Health Commission on Global Eye Health: vision beyond 2020
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Burton, MJ, Ramke, J, Marques, AP, Bourne, RRA, Congdon, N, Jones, I, Tong, BAMA, Arunga, S, Bachani, D, Bascaran, C, Bastawrous, A, Blanchet, K, Braithwaite, T, Buchan, JC, Cairns, J, Cama, A, Chagunda, M, Chuluunkhuu, C, Cooper, A, Crofts-Lawrence, J, Dean, WH, Denniston, AK, Ehrlich, JR, Emerson, PM, Evans, JR, Frick, KD, Friedman, DS, Furtado, JM, Gichangi, MM, Gichuhi, S, Gilbert, SS, Gurung, R, Habtamu, E, Holland, P, Jonas, JB, Keane, PA, Keay, L, Khanna, RC, Khaw, PT, Kuper, H, Kyari, F, Lansingh, VC, Mactaggart, I, Mafwiri, MM, Mathenge, W, McCormick, I, Morjaria, P, Mowatt, L, Muirhead, D, Murthy, GVS, Mwangi, N, Patel, DB, Peto, T, Qureshi, BM, Salomao, SR, Sarah, V, Shilio, BR, Solomon, AW, Swenor, BK, Taylor, HR, Wang, N, Webson, A, West, SK, Wong, TY, Wormald, R, Yasmin, S, Yusufu, M, Silva, JC, Resnikoff, S, Ravilla, T, Gilbert, CE, Foster, A, Faal, HB, Burton, MJ, Ramke, J, Marques, AP, Bourne, RRA, Congdon, N, Jones, I, Tong, BAMA, Arunga, S, Bachani, D, Bascaran, C, Bastawrous, A, Blanchet, K, Braithwaite, T, Buchan, JC, Cairns, J, Cama, A, Chagunda, M, Chuluunkhuu, C, Cooper, A, Crofts-Lawrence, J, Dean, WH, Denniston, AK, Ehrlich, JR, Emerson, PM, Evans, JR, Frick, KD, Friedman, DS, Furtado, JM, Gichangi, MM, Gichuhi, S, Gilbert, SS, Gurung, R, Habtamu, E, Holland, P, Jonas, JB, Keane, PA, Keay, L, Khanna, RC, Khaw, PT, Kuper, H, Kyari, F, Lansingh, VC, Mactaggart, I, Mafwiri, MM, Mathenge, W, McCormick, I, Morjaria, P, Mowatt, L, Muirhead, D, Murthy, GVS, Mwangi, N, Patel, DB, Peto, T, Qureshi, BM, Salomao, SR, Sarah, V, Shilio, BR, Solomon, AW, Swenor, BK, Taylor, HR, Wang, N, Webson, A, West, SK, Wong, TY, Wormald, R, Yasmin, S, Yusufu, M, Silva, JC, Resnikoff, S, Ravilla, T, Gilbert, CE, Foster, A, and Faal, HB
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- 2021
25. A study of ocular morbidity among elderly population in a rural area of central India
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Singh M, Murthy GVS, Venkatraman R, Rao S, and Nayar S
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Ocular morbidity ,Visual impairment ,Cataract ,Elderly population. ,Ophthalmology ,RE1-994 - Abstract
A cross-sectional study was conducted in five randomly selected villages in Wardha district of Maharashtra state to study the magnitude and factors related to the prevalence of ocular diseases among the elderly population. A total of 903 persons above 50 years were screened. The prevalence of low vision was 32% while that of blindness was 12.2% Ocular morbidity rate was 1.21 lesions per elderly person and it increased significantly with increasing age (p
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- 1997
26. Estimating assistive product need in Cameroon and India: results of population-based surveys and comparison of self-report and clinical impairment assessment approaches
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Boggs, Dorothy, Kuper, Hannah, Mactaggart, Islay, Murthy, Gvs, Oye, Joseph, and Polack, Sarah
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OBJECTIVES: To estimate population need and coverage for distance glasses, hearing aids and wheelchairs in India and Cameroon, and to explore the relationship between assistive product (AP) need measured through self-report and clinical impairment assessment. METHODS: Population-based surveys of approximately 4000 people each were conducted in Mahabubnagar district, India and Fundong district, Cameroon. Participants underwent standardised vision, hearing and musculoskeletal impairment assessment to assess need for distance glasses, hearing aids, wheelchairs. Participants with moderate or worse impairment and/or self-reported difficulties in functioning were also asked about their self-reported AP need. RESULTS: 6.5% (95% CI 5.4-7.9) in India and 1.9% (95% CI 1.5-2.4) in Cameroon of the population needed at least one of the three APs based on moderate or worse impairments. Total need was highest for distance glasses [3.7% (95% CI 2.8-4.7) India; 0.8% (95% CI 0.5-1.1), Cameroon] and lowest for wheelchairs (0.1% both settings; 95% CI 0.03-0.3 India, 95% CI 0.04-0.3 Cameroon). Coverage for each AP was below 40%, except for distance glasses in India, where it was 87% (95% CI 77.1-93.0). The agreement between self-report and clinical impairment assessment of AP need was poor. For instance, in India, 60% of people identified through clinical assessment as needing distance glasses did not self-report a need. Conversely, in India, 75% of people who self-reported needing distance glasses did not require one based on clinical impairment assessment. CONCLUSIONS: There is high need and low coverage of three APs in two low-and middle-income settings. Methodological shortcomings highlight the need for improved survey methods compatible with the international classification of functioning, disability and health to estimate population-level need for AP and related services to inform advocacy and planning.
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- 2020
27. Subnational mapping of under-5 and neonatal mortality trends in India: the Global Burden of Disease Study 2000–17
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Dandona, Rakhi, Kumar, G Anil, Henry, Nathaniel J, Joshua, Vasna, Ramji, Siddarth, Gupta, Subodh S, Agrawal, Deepti, Kumar, Rashmi, Lodha, Rakesh, Mathai, Matthews, Kassebaum, Nicholas J, Pandey, Anamika, Wang, Haidong, Sinha, Anju, Hemalatha, Rajkumar, Abdulkader, Rizwan S, Agarwal, Vivek, Albert, Sandra, Biswas, Atanu, Burstein, Roy, Chakma, Joy K, Christopher, DJ, Collison, Michael, Dash, AP, Dey, Sagnik, Dicker, Daniel, Gardner, William, Glenn, Scott D, Golechha, Mahaveer J, He, Yihua, Jerath, Suparna G, Kant, Rajni, Kar, Anita, Khera, Ajay K, Kinra, Sanjay, Koul, Parvaiz A, Krish, Varsha, Krishnankutty, Rinu P, Kurpad, Anura V, Kyu, Hmwe H, Laxmaiah, Avula, Mahanta, Jagadish, Mahesh, PA, Malhotra, Ridhima, Mamidi, Raja S, Manguerra, Helena, Mathew, Joseph L, Mathur, Manu R, Mehrotra, Ravi, Mukhopadhyay, Satinath, Murthy, GVS, Mutreja, Parul, Nagalla, Balakrishna, Nguyen, Grant, Oommen, Anu M, Pati, Ashalata, Pati, Sanghamitra, Perkins, Samantha, Prakash, Sanjay, Purwar, Manorama, Sagar, Rajesh, Sankar, Mari J, Saraf, Deepika S, Shukla, DK, Shukla, Sharvari R, Singh, Narinder P, Sreenivas, V, Tandale, Babasaheb, Thankappan, Kavumpurathu R, Tripathi, Manjari, Tripathi, Suryakant, Tripathy, Srikanth, Troeger, Christopher, Varghese, Chris M, Varughese, Santosh, Watson, Stefanie, Yadav, Geetika, Zodpey, Sanjay, Reddy, K Srinath, Toteja, GS, Naghavi, Mohsen, Lim, Stephen S, Vos, Theo, Bekedam, Hendrik J, Swaminathan, Soumya, Murray, Christopher JL, Hay, Simon I, Sharma, RS, Dandona, Lalit, and Burden, India State-Level Dis
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Male ,Inequality ,Sanitation ,Total fertility rate ,media_common.quotation_subject ,India ,wa_395 ,030204 cardiovascular system & hematology ,Article ,Global Burden of Disease ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Cause of Death ,Infant Mortality ,Humans ,030212 general & internal medicine ,Risk factor ,media_common ,Neonatal mortality ,Mortality rate ,Infant, Newborn ,wa_900 ,Infant ,General Medicine ,wa_320 ,Child mortality ,Geography ,Annual percentage rate ,Child, Preschool ,Child Mortality ,Female ,ws_440 ,Demography - Abstract
Summary Background India has made substantial progress in improving child survival over the past few decades, but a comprehensive understanding of child mortality trends at disaggregated geographical levels is not available. We present a detailed analysis of subnational trends of child mortality to inform efforts aimed at meeting the India National Health Policy (NHP) and Sustainable Development Goal (SDG) targets for child mortality. Methods We assessed the under-5 mortality rate (U5MR) and neonatal mortality rate (NMR) from 2000 to 2017 in 5 × 5 km grids across India, and for the districts and states of India, using all accessible data from various sources including surveys with subnational geographical information. The 31 states and groups of union territories were categorised into three groups using their Socio-demographic Index (SDI) level, calculated as part of the Global Burden of Diseases, Injuries, and Risk Factors Study on the basis of per-capita income, mean education, and total fertility rate in women younger than 25 years. Inequality between districts within the states was assessed using the coefficient of variation. We projected U5MR and NMR for the states and districts up to 2025 and 2030 on the basis of the trends from 2000 to 2017 and compared these projections with the NHP 2025 and SDG 2030 targets for U5MR (23 deaths and 25 deaths per 1000 livebirths, respectively) and NMR (16 deaths and 12 deaths per 1000 livebirths, respectively). We assessed the causes of child death and the contribution of risk factors to child deaths at the state level. Findings U5MR in India decreased from 83·1 (95% uncertainty interval [UI] 76·7–90·1) in 2000 to 42·4 (36·5–50·0) per 1000 livebirths in 2017, and NMR from 38·0 (34·2–41·6) to 23·5 (20·1–27·8) per 1000 livebirths. U5MR varied 5·7 times between the states of India and 10·5 times between the 723 districts of India in 2017, whereas NMR varied 4·5 times and 8·0 times, respectively. In the low SDI states, 275 (88%) districts had a U5MR of 40 or more per 1000 livebirths and 291 (93%) districts had an NMR of 20 or more per 1000 livebirths in 2017. The annual rate of change from 2010 to 2017 varied among the districts from a 9·02% (95% UI 6·30–11·63) reduction to no significant change for U5MR and from an 8·05% (95% UI 5·34–10·74) reduction to no significant change for NMR. Inequality between districts within the states increased from 2000 to 2017 in 23 of the 31 states for U5MR and in 24 states for NMR, with the largest increases in Odisha and Assam among the low SDI states. If the trends observed up to 2017 were to continue, India would meet the SDG 2030 U5MR target but not the SDG 2030 NMR target or either of the NHP 2025 targets. To reach the SDG 2030 targets individually, 246 (34%) districts for U5MR and 430 (59%) districts for NMR would need a higher rate of improvement than they had up to 2017. For all major causes of under-5 death in India, the death rate decreased between 2000 and 2017, with the highest decline for infectious diseases, intermediate decline for neonatal disorders, and the smallest decline for congenital birth defects, although the magnitude of decline varied widely between the states. Child and maternal malnutrition was the predominant risk factor, to which 68·2% (65·8–70·7) of under-5 deaths and 83·0% (80·6–85·0) of neonatal deaths in India could be attributed in 2017; 10·8% (9·1–12·4) of under-5 deaths could be attributed to unsafe water and sanitation and 8·8% (7·0–10·3) to air pollution. Interpretation India has made gains in child survival, but there are substantial variations between the states in the magnitude and rate of decline in mortality, and even higher variations between the districts of India. Inequality between districts within states has increased for the majority of the states. The district-level trends presented here can provide crucial guidance for targeted efforts needed in India to reduce child mortality to meet the Indian and global child survival targets. District-level mortality trends along with state-level trends in causes of under-5 and neonatal death and the risk factors in this Article provide a comprehensive reference for further planning of child mortality reduction in India. Funding Bill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.
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- 2020
28. Spectrum of eye disorders in diabetes (SPEED) in India: Eye care facility based study. Report # 1. Eye disorders in people with type 2 diabetes mellitus
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Das, Taraprasad, Behera, Umesh C, Bhattacharjee, Harsha, Gilbert, Clare, Murthy, GVS, Rajalakshmi, Ramachandran, Pant, Hira B, Shukla, Rajan, and SPEED Study group
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genetic structures ,sense organs ,eye diseases - Abstract
Purpose: To document the spectrum of eye diseases in people with type 2 diabetes mellitus (T2DM) reporting to large eye care facilities in India. Methods: The selection of eye care facilities was based on the zone of the country and robustness of the programs. Only people with known T2DM certified by internist, or taking antidiabetes medications, or referred for diabetes related eye diseases were recruited. The analysis included the demographic characteristics, systemic associations, ocular comorbidities, and visual status. Results: People (11,182) with T2DM were recruited in 14 eye care facilities (3 in north, 2 in south central, 4 in south, 2 in west, and 3 in east zone); two were government and 12 were non-government facilities. Hypertension was the commonest systemic association (n = 5500; 49.2%). Diabetic retinopathy (n = 3611; 32.3%) and lens opacities (n = 6407; 57.3%) were the common ocular disorders. One-fifth of eyes (n = 2077; 20.4%) were pseudophakic; 547 (5.4%) eyes had glaucoma and 277 (2.5%) eyes had retinal vascular occlusion. At presentation, 4.5% (n = 502) were blind (visual acuity < 3/60 in the better eye) and 9.6% (n = 1077) had moderate to severe visual impairment (visual acuity 3/60 in the better eye). Conclusion: People with T2DM presenting at eye clinics in India have high rates of diabetic retinopathy and vision loss. Cataract is a very common occurrence. Advocacy, infrastructure strengthening, and human resource development are the key to address the growing threats of T2DM and eye care in India.
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- 2020
29. Spectrum of eye disorders in diabetes (SPEED) in India. Report # 2. Diabetic retinopathy and risk factors for sight threatening diabetic retinopathy in people with type 2 diabetes in India
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Rajalakshmi, Ramachandran, Behera, Umesh C, Bhattacharjee, Harsha, Das, Taraprasad, Gilbert, Clare, Murthy, GVS, Pant, Hira B, Shukla, Rajan, and SPEED Study group
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eye diseases - Abstract
Purpose: To assess the proportion of people with type 2 diabetes mellitus (T2DM) with diabetic retinopathy (DR) and sight-threatening DR (STDR) and associated risk factors in select eye-care facilities across India. Methods: In this observational study, data of people with T2DM presenting for the first time at the retina clinic of eye-care facilities across India was recorded. Data collected in 2016 over 6 months included information on systemic, clinical, and ocular parameters. International Clinical Diabetic Retinopathy (ICDR) classification scale was used to grade DR. STDR was defined as presence of severe nonproliferative (NPDR), proliferative diabetic retinopathy (PDR), and/or diabetic macular edema (DME). Results: The analysis included 11,182 people with T2DM from 14 eye-care facilities (mean age 58.2 ± 10.6 years; mean duration of diabetes 9.1 ± 7.6 years; 59.2% male). The age-standardized proportion of DR was 32.3% (95%Confidence Interval, CI: 31.4-33.2) and STDR was 19.1% (95%CI: 18.4-19.8). DME was diagnosed in 9.1% (95%CI: 8.5-9.6) and 10.7% (95%CI: 10.1-11.3) people had PDR. Statistically significant factors associated with increased risk of DR (by multivariate logistic regression analysis) were: male gender (Odds ratio[OR] 1.57, 95%CI: 1.16-2.15); poor glycemic control-glycated hemoglobin (HbA1c >10%)(OR 2.39, 95% CI: 1.1-5.22); requirement of insulin (OR 2.55, 95%CI: 1.8-3.6);history of hypertension (OR 1.42, 95%CI: 1.06-1.88) and duration of diabetes >15 years (OR 5.25, 95%CI: 3.01-9.15). Conclusion: Diabetic retinopathy was prevalent in 1/3rd and sight-threatening DR in 1/5th of people with T2DM presenting at eye-care facilities in this pan-India facility-based study. The duration of diabetes was the strongest predictor for retinopathy.
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- 2020
30. Effectiveness of health education and monetary incentive on uptake of diabetic retinopathy screening at a community health center in South Gujarat, India
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Chariwala, Rohan Arvindbhai, Shukla, Rajan, Gajiwala, Uday R, Gilbert, Clare, Pant, Hira, Lewis, Melissa Glenda, and Murthy, GVS
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Purpose: The effectiveness of Accredited Social Health Activists (ASHAs) with and without monetary incentive in uptake of diabetic retinopathy (DR) screening at community health center (CHC) was compared in South Gujarat, India. Methods: In this non-randomized controlled trial, ASHAs were incentivized to refer people with diabetes mellitus (PwDM) from their respective villages for DR screening after people were sensitized to DM and DR. The minimum sample size was 63 people in each arm. Results: Of 162, 50.6% were females, 80.2% were literate, 56.2% were >50 years, 54.3% had increased random blood sugar (RBS), and 59.9% had diabetes for 5 years. The percentage of screening was significantly higher [relative risk (RR) = 4.37, 95% confidence interval (CI) 2.79, 6.84] in ASHA incentive group and health education (HE) group (RR = 3.67, 95% CI 2.35, 5.75) compared with baseline. Providing incentive to ASHAs was not found to be of extra advantage (RR = 1.19, 95% CI 0.89, 1.57). The likelihood of uptake of screening was higher among uncontrolled PwDM, poor literacy, and higher duration of diabetes in incentive phase (P < 0.001) compared with HE. The results show that age (P = 0.017), education (P = 0.015) and level of RBS (P = 0.001) of those referred were significantly associated with incentives to ASHAs. Conclusion: ASHAs can be used effectively to refer known PwDM for DR screening especially when DR screening program is introduced in population with low awareness and poor accessibility. When incentives are planned, additional burden on resources should be kept in mind before adapting this model of care.
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- 2020
31. Spectrum of Eye Disease in Diabetes (SPEED) in India: A prospective facility-based study. Report # 4. Glaucoma in people with type 2 diabetes mellitus
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Behera, Umesh C, Bhattacharjee, Harsha, Das, Taraprasad, Gilbert, Clare, Murthy, GVS, Rajalakshmi, R, Pant, Hira B, and SPEED study group
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genetic structures ,sense organs ,eye diseases - Abstract
Purpose: To estimate the proportion of people with type 2 diabetes mellitus (T2DM) and glaucoma in a facility-based cross-sectional observational study in India. Methods: All people received a comprehensive eye examination. Glaucoma-specific examinations included applanation tonometry, optic disc and cup evaluation, and stereo biomicroscopy in all people; gonioscopy and visual field testing in glaucoma suspects. The International Society of Geographic and Epidemiologic Ophthalmology guidelines were used to diagnose and classify glaucoma. Results: The study recruited 11,182 people (average age: 58.2 ± 10.6; range 39-96 years). Glaucoma was diagnosed in 4.9% (n = 547) people. About 76.8% (n = 420) of those with glaucoma had bilateral disease, and 98.7% (n = 540) were >40 years. Among people with bilateral disease, 94.5% (n = 397) had primary glaucoma - open angle in 59.3% (n = 228) and angle closure in 40.2% (n = 169). Diabetes duration was ?10 years in 71.5% (n = 300) people. On linear regression, the following were associated with glaucoma: advancing age [compared with < 40 years age group; odds ratio [OR] in 50-60 year age group: 1.36 [95% confidence interval (CI): 1.01-1.8], P < 0.035); >60 years age group (OR: 2.05, 95% CI: 1.57-2.67; P < 0.001), and diabetic neuropathy (OR: 2.62, 95% CI: 1.35-5.10, P < 0.003). Glycemic control did not have significant association (P = 0.425). Conclusion: Presence of glaucoma in people with T2DM in this cohort was similar to the general population prevalence studies in India. Glaucoma was invariably bilateral. A comprehensive eye examination in people age 40 years and older with diabetes and/or glaucoma is beneficial.
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- 2020
32. Spectrum of Eye Disease in Diabetes (SPEED) in India: A prospective facility-based study. Report # 3. Retinal vascular occlusion in patients with type 2 diabetes mellitus
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Bhattacharjee, Harsha, Barman, Manabjyoti, Misra, Divakant, Multani, Prabhjot K, Dhar, Shriya, Behera, Umesh C, Das, Taraprasad, Gilbert, Clare, Murthy, GVS, Rajalakshmi, R, Pant, Hira B, and SPEED study group
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eye diseases - Abstract
Purpose: To determine the proportion of people with type 2 diabetes mellitus (T2DM) attending large eye care facilities across India who have retinal vascular occlusion (RVO). Methods: A 6-month descriptive, multicenter, observational hospital-based study of people was being presented to the 14 eye care facilities in India. The retina-specific component of comprehensive eye examination included stereoscopic biomicroscopy, binocular indirect ophthalmoscopy, and fundus fluorescein angiography, and optical coherence tomography was also available when needed. Data recording of the duration of diabetes, hypertension (HTN), stroke, and other variables was obtained from the medical history. The statistical analysis included frequencies, mean, and standard deviations for continuous variables. Odds ratio (OR) and multivariate analysis were undertaken to assess the associations between risk factors and RVO. Results: The study recruited 11,182 consecutive patients (22,364 eyes) with T2DM. About 59.0% (n = 6697) were male. The mean age was 58.2 ± 10.6 years. In this cohort, RVO was detected in 3.4% (n = 380) of patients; 67.6% (n = 257) of them had branch retinal vein occlusion (BRVO) and the remaining 32.4% (n = 123) had central retinal vein occlusion (CRVO). The frequency of unilateral BRVO (n = 220, 85.6%) and unilateral CRVO (n = 106, 86.18%) was much common. Unilateral RVO was more frequent (n = 326, 85.8%) than bilateral diseases (n = 54, 14.2%) (?2 = 126.95, P < 0.001). Ischemic CRVO was more common (n = 103, 73.6%) than nonischemic CRVO (n = 37, 26.4%). Macula-involving BRVO was found in 58.5% (n = 172) of cases, suggesting more than 50% of cases in RVO carries a risk of severe vision loss. The duration of diabetes apparently had no influence on the occurrence of RVO. On the multivariate analysis, a history of HTN [OR: 1.7; 95% confidence interval (CI): 1.3-2.1; P = 0.001) and stroke (OR: 5.1; 95% CI: 2.1-12.4; P < 0.001) was associated with RVO. Conclusion: RVO is a frequent finding in people with T2DM. History of stroke carries the highest risk followed by HTN. The management of people with T2DM and RVO must also include comanagement of all associated systemic conditions.
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- 2020
33. Disabled People's Organisations increase access to services and improve well-being: evidence from a cluster randomized trial in North India
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Grills, NJ, Hoq, M, Wong, C-PP, Allagh, K, Singh, L, Soji, F, Murthy, GVS, Grills, NJ, Hoq, M, Wong, C-PP, Allagh, K, Singh, L, Soji, F, and Murthy, GVS
- Abstract
BACKGROUND: Disabled People's Organisations (DPOs) are the mainstay of disability responses worldwide. Yet there is no quantitative data assessing their effectiveness in low-and middle-income countries (LMICs). The aim of this study was to measure the effectiveness of DPOs as a low-cost intervention to improve well-being and access to services and facilities for people with disabilities. METHODS: We undertook a cluster randomised intervention control trial across 39 distinct rural villages in Uttarakhand State, North India. A total of 527 participants were included from 39 villages: 302 people from 20 villages were assigned to the intervention arm and 225 from 19 villages were assigned to the control group. Over a 2-year period, people with disabilities were facilitated to form DPOs with regular home visits. Participants were also given financial support for public events and exposure visits to other DPOs. Seven domains were used to measure access and participation. RESULTS: DPO formation had improved participation in community consultations (OR 2.57, 95% CI 1.4 to 4.72), social activities (OR 2.46, 95% CI 1.38 to 4.38), DPOs (OR 14.78, 95% CI 1.43 to 152.43), access to toilet facilities (OR 3.89, 95% CI 1.31 to 11.57), rehabilitation (OR 6.83, 95% CI 2.4 to 19.42) and Government social welfare services (OR 4.82, 95% CI 2.35 to 9.91) in intervention when compared to the control. People who were part of a DPO had an improvement in having their opinion heard (OR 1.94, 95% CI 1.16 to 3.24) and being able to make friends (OR 1.63, 95% CI 1 to 2.65) compared to those who were not part of a DPO. All other well-being variables had little evidence despite greater improvement in the DPO intervention group. CONCLUSIONS: This is the first randomised control trial to demonstrate that DPOs in LMICs are effective at improving participation, access and well-being. This study supports the ongoing role of DPOs in activities related to disability inclusion and disability services. Th
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- 2020
34. Mid Upper Arm Circumference in Pregnant Women and Birth Weight in Newborns as Substitute for Skinfold Thickness: Findings from the MAASTHI Cohort Study, India.
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Babu, Giridhara R., primary, Das, Aritra, additional, Lobo, Eunice, additional, R., Deepa, additional, John, Daisy A., additional, Thankachan, Prashanth, additional, Khetrapal, Sonalini, additional, Benjamin-Neelon, Sara E., additional, and Murthy, GVS, additional
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- 2021
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35. Prevalence, incidence and distribution of visual impairment
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MURTHY, GVS, primary and JOHNSON, GORDON, additional
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- 2012
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36. Causes and temporal trends of blindness and severe visual impairment in children in schools for the blind in North India
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Titiyal, JS, Pal, N, Murthy, GVS, Gupta, SK, Tandon, R, Vajpayee, RB, and Gilbert, CE
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Blindness -- Research ,Health - Abstract
Aims: To describe the causes of severe visual impairment and blindness (SVI/BL) in children in schools for the blind in north India, and explore temporal trends in the major causes. [...]
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- 2003
37. Ambient and Indoor Air Pollution in Pregnancy and the risk of Low birth weight and Ensuing Effects in Infants (APPLE): A cohort study in Bangalore, South India
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Shriyan, Prafulla, primary, Babu, Giridhara R, additional, Ravi, Deepa, additional, Ana, Yamuna, additional, van Schayck, Onno CP, additional, Thankachan, Prashanth, additional, and Murthy, GVS, additional
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- 2020
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38. 169-LB: Is It Time for Country-Specific Glucose Cut-Off Values for Diagnosing Gestational Diabetes Mellitus in the Indian Population?
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BABU, GIRIDHARA R., primary, LEWIS, MELISSA G., additional, R, DEEPA, additional, LOBO, EUNICE, additional, KINRA, SANJAY, additional, and MURTHY, GVS V., additional
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- 2020
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39. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017
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Reiner, Robert C, primary, Wiens, Kirsten E, additional, Deshpande, Aniruddha, additional, Baumann, Mathew M, additional, Lindstedt, Paulina A, additional, Blacker, Brigette F, additional, Troeger, Christopher E, additional, Earl, Lucas, additional, Munro, Sandra B, additional, Abate, Degu, additional, Abbastabar, Hedayat, additional, Abd-Allah, Foad, additional, Abdelalim, Ahmed, additional, Abdollahpour, Ibrahim, additional, Abdulkader, Rizwan Suliankatchi, additional, Abebe, Getaneh, additional, Abegaz, Kedir Hussein, additional, Abreu, Lucas Guimarães, additional, Abrigo, Michael R M, additional, Accrombessi, Manfred Mario Kokou, additional, Acharya, Dilaram, additional, Adabi, Maryam, additional, Adebayo, Oladimeji M, additional, Adedoyin, Rufus Adesoji, additional, Adekanmbi, Victor, additional, Adetokunboh, Olatunji O, additional, Adhena, Beyene Meressa, additional, Afarideh, Mohsen, additional, Ahmadi, Keivan, additional, Ahmadi, Mehdi, additional, Ahmed, Anwar E, additional, Ahmed, Muktar Beshir, additional, Ahmed, Rushdia, additional, Ajumobi, Olufemi, additional, Akal, Chalachew Genet, additional, Akalu, Temesgen Yihunie, additional, Akanda, Ali S, additional, Alamene, Genet Melak, additional, Alanzi, Turki M, additional, Albright, James R, additional, Alcalde Rabanal, Jacqueline Elizabeth, additional, Alemnew, Birhan Tamene, additional, Alemu, Zewdie Aderaw, additional, Ali, Beriwan Abdulqadir, additional, Ali, Muhammad, additional, Alijanzadeh, Mehran, additional, Alipour, Vahid, additional, Aljunid, Syed Mohamed, additional, Almasi, Ali, additional, Almasi-Hashiani, Amir, additional, Al-Mekhlafi, Hesham M, additional, Altirkawi, Khalid, additional, Alvis-Guzman, Nelson, additional, Alvis-Zakzuk, Nelson J, additional, Amare, Azmeraw T, additional, Amini, Saeed, additional, Amit, Arianna Maever Loreche, additional, Andrei, Catalina Liliana, additional, Anegago, Masresha Tessema, additional, Anjomshoa, Mina, additional, Ansari, Fereshteh, additional, Antonio, Carl Abelardo T, additional, Antriyandarti, Ernoiz, additional, Appiah, Seth Christopher Yaw, additional, Arabloo, Jalal, additional, Aremu, Olatunde, additional, Armoon, Bahram, additional, Aryal, Krishna K, additional, Arzani, Afsaneh, additional, Asadi-Lari, Mohsen, additional, Ashagre, Alebachew Fasil, additional, Atalay, Hagos Tasew, additional, Atique, Suleman, additional, Atre, Sachin R, additional, Ausloos, Marcel, additional, Avila-Burgos, Leticia, additional, Awasthi, Ashish, additional, Awoke, Nefsu, additional, Ayala Quintanilla, Beatriz Paulina, additional, Ayano, Getinet, additional, Ayanore, Martin Amogre, additional, Ayele, Asnakew Achaw, additional, Aynalem, Yared A Asmare, additional, Azari, Samad, additional, Babaee, Ebrahim, additional, Badawi, Alaa, additional, Bakkannavar, Shankar M, additional, Balakrishnan, Senthilkumar, additional, Bali, Ayele Geleto, additional, Banach, Maciej, additional, Barac, Aleksandra, additional, Bärnighausen, Till Winfried, additional, Basaleem, Huda, additional, Bassat, Quique, additional, Bayati, Mohsen, additional, Bedi, Neeraj, additional, Behzadifar, Masoud, additional, Behzadifar, Meysam, additional, Bekele, Yibeltal Alemu, additional, Bell, Michelle L, additional, Bennett, Derrick A, additional, Berbada, Dessalegn Ajema, additional, Beyranvand, Tina, additional, Bhat, Anusha Ganapati, additional, Bhattacharyya, Krittika, additional, Bhattarai, Suraj, additional, Bhaumik, Soumyadeep, additional, Bijani, Ali, additional, Bikbov, Boris, additional, Biswas, Raaj Kishore, additional, Bogale, Kassawmar Angaw, additional, Bohlouli, Somayeh, additional, Brady, Oliver J, additional, Bragazzi, Nicola Luigi, additional, Briko, Nikolay Ivanovich, additional, Briko, Andrey Nikolaevich, additional, Burugina Nagaraja, Sharath, additional, Butt, Zahid A, additional, Campos-Nonato, Ismael R, additional, Campuzano Rincon, Julio Cesar, additional, Cárdenas, Rosario, additional, Carvalho, Félix, additional, Castro, Franz, additional, Chansa, Collins, additional, Chatterjee, Pranab, additional, Chattu, Vijay Kumar, additional, Chauhan, Bal Govind, additional, Chin, Ken Lee, additional, Christopher, Devasahayam J, additional, Chu, Dinh-Toi, additional, Claro, Rafael M, additional, Cormier, Natalie M, additional, Costa, Vera M, additional, Damiani, Giovanni, additional, Daoud, Farah, additional, Dandona, Lalit, additional, Dandona, Rakhi, additional, Darwish, Amira Hamed, additional, Daryani, Ahmad, additional, Das, Jai K, additional, Das Gupta, Rajat, additional, Dasa, Tamirat Tesfaye, additional, Davila, Claudio Alberto, additional, Davis Weaver, Nicole, additional, Davitoiu, Dragos Virgil, additional, De Neve, Jan-Walter, additional, Demeke, Feleke Mekonnen, additional, Demis, Asmamaw Bizuneh, additional, Demoz, Gebre Teklemariam, additional, Denova-Gutiérrez, Edgar, additional, Deribe, Kebede, additional, Desalew, Assefa, additional, Dessie, Getenet Ayalew, additional, Dharmaratne, Samath Dhamminda, additional, Dhillon, Preeti, additional, Dhimal, Meghnath, additional, Dhungana, Govinda Prasad, additional, Diaz, Daniel, additional, Ding, Eric L, additional, Diro, Helen Derara, additional, Djalalinia, Shirin, additional, Do, Huyen Phuc, additional, Doku, David Teye, additional, Dolecek, Christiane, additional, Dubey, Manisha, additional, Dubljanin, Eleonora, additional, Duko Adema, Bereket, additional, Dunachie, Susanna J, additional, Durães, Andre R, additional, Duraisamy, Senbagam, additional, Effiong, Andem, additional, Eftekhari, Aziz, additional, El Sayed, Iman, additional, El Sayed Zaki, Maysaa, additional, El Tantawi, Maha, additional, Elemineh, Demelash Abewa, additional, El-Jaafary, Shaimaa I, additional, Elkout, Hajer, additional, Elsharkawy, Aisha, additional, Enany, Shymaa, additional, Endalamfaw, Aklilu, additional, Endalew, Daniel Adane, additional, Eskandarieh, Sharareh, additional, Esteghamati, Alireza, additional, Etemadi, Arash, additional, Farag, Tamer H, additional, Faraon, Emerito Jose A, additional, Fareed, Mohammad, additional, Faridnia, Roghiyeh, additional, Farioli, Andrea, additional, Faro, Andre, additional, Farzam, Hossein, additional, Fazaeli, Ali Akbar, additional, Fazlzadeh, Mehdi, additional, Fentahun, Netsanet, additional, Fereshtehnejad, Seyed-Mohammad, additional, Fernandes, Eduarda, additional, Filip, Irina, additional, Fischer, Florian, additional, Foroutan, Masoud, additional, Francis, Joel Msafiri, additional, Franklin, Richard Charles, additional, Frostad, Joseph Jon, additional, Fukumoto, Takeshi, additional, Gayesa, Reta Tsegaye, additional, Gebremariam, Kidane Tadesse, additional, Gebremedhin, Ketema Bizuwork Bizuwork, additional, Gebremeskel, Gebreamlak Gebremedhn, additional, Gedefaw, Getnet Azeze, additional, Geramo, Yilma Chisha Dea, additional, Geta, Birhanu, additional, Gezae, Kebede Embaye, additional, Ghashghaee, Ahmad, additional, Ghassemi, Fariba, additional, Gill, Paramjit Singh, additional, Ginawi, Ibrahim Abdelmageed, additional, Goli, Srinivas, additional, Gomes, Nelson G M, additional, Gopalani, Sameer Vali, additional, Goulart, Bárbara Niegia Garcia, additional, Grada, Ayman, additional, Gugnani, Harish Chander, additional, Guido, Davide, additional, Guimares, Rafael Alves, additional, Guo, Yuming, additional, Gupta, Rajeev, additional, Gupta, Rahul, additional, Hafezi-Nejad, Nima, additional, Haile, Michael Tamene, additional, Hailu, Gessessew Bugssa, additional, Haj-Mirzaian, Arvin, additional, Haj-Mirzaian, Arya, additional, Hall, Brian James, additional, Handiso, Demelash Woldeyohannes, additional, Haririan, Hamidreza, additional, Hariyani, Ninuk, additional, Hasaballah, Ahmed I, additional, Hasan, Md. Mehedi, additional, Hasanzadeh, Amir, additional, Hassankhani, Hadi, additional, Hassen, Hamid Yimam, additional, Hayelom, Desta Haftu, additional, Heidari, Behnam, additional, Henry, Nathaniel J, additional, Herteliu, Claudiu, additional, Heydarpour, Fatemeh, additional, Hidru, Hagos D de, additional, Hoang, Chi Linh, additional, Hoogar, Praveen, additional, Hoseini-Ghahfarokhi, Mojtaba, additional, Hossain, Naznin, additional, Hosseini, Mostafa, additional, Hosseinzadeh, Mehdi, additional, Househ, Mowafa, additional, Hu, Guoqing, additional, Humayun, Ayesha, additional, Hussain, Syed Ather, additional, Ibitoye, Segun Emmanuel, additional, Ilesanmi, Olayinka Stephen, additional, Ilic, Milena D, additional, Inbaraj, Leeberk Raja, additional, Irvani, Seyed Sina Naghibi, additional, Islam, Sheikh Mohammed Shariful, additional, Iwu, Chinwe Juliana, additional, Jaca, Anelisa, additional, Jafari Balalami, Nader, additional, Jahanmehr, Nader, additional, Jakovljevic, Mihajlo, additional, Jalali, Amir, additional, Jayatilleke, Achala Upendra, additional, Jenabi, Ensiyeh, additional, Jha, Ravi Prakash, additional, Jha, Vivekanand, additional, Ji, John S, additional, Jia, Peng, additional, Johnson, Kimberly B, additional, Jonas, Jost B, additional, Jozwiak, Jacek Jerzy, additional, Kabir, Ali, additional, Kabir, Zubair, additional, Kahsay, Amaha, additional, Kalani, Hamed, additional, Kanchan, Tanuj, additional, Karami Matin, Behzad, additional, Karch, André, additional, Karki, Surendra, additional, Kasaeian, Amir, additional, Kasahun, Gebremicheal Gebreslassie, additional, Kayode, Gbenga A, additional, Kazemi Karyani, Ali, additional, Keiyoro, Peter Njenga, additional, Ketema, Daniel Bekele, additional, Khader, Yousef Saleh, additional, Khafaie, Morteza Abdullatif, additional, Khalid, Nauman, additional, Khalil, Ali Talha, additional, Khalil, Ibrahim, additional, Khalilov, Rovshan, additional, Khan, Md Nuruzzaman, additional, Khan, Ejaz Ahmad, additional, Khan, Gulfaraz, additional, Khan, Junaid, additional, Khatab, Khaled, additional, Khater, Amir, additional, Khater, Mona M, additional, Khatony, Alireza, additional, Khayamzadeh, Maryam, additional, Khazaei, Mohammad, additional, Khazaei, Salman, additional, Khodamoradi, Ehsan, additional, Khosravi, Mohammad Hossein, additional, Khubchandani, Jagdish, additional, Kiadaliri, Aliasghar A, additional, Kim, Yun Jin, additional, Kimokoti, Ruth W, additional, Kisa, Sezer, additional, Kisa, Adnan, additional, Kissoon, Niranjan, additional, Kondlahalli, Shivakumar KM KM M, additional, Kosek, Margaret N, additional, Koyanagi, Ai, additional, Kraemer, Moritz U G, additional, Krishan, Kewal, additional, Kugbey, Nuworza, additional, Kumar, G Anil, additional, Kumar, Manasi, additional, Kumar, Pushpendra, additional, Kusuma, Dian, additional, La Vecchia, Carlo, additional, Lacey, Ben, additional, Lal, Aparna, additional, Lal, Dharmesh Kumar, additional, Lami, Faris Hasan, additional, Lansingh, Van C, additional, Lasrado, Savita, additional, Lee, Paul H, additional, Leili, Mostafa, additional, Lenjebo, Tsegaye Tsegaye Lolaso Lolaso, additional, Levine, Aubrey J, additional, Lewycka, Sonia, additional, Li, Shanshan, additional, Linn, Shai, additional, Lodha, Rakesh, additional, Longbottom, Joshua, additional, Lopukhov, Platon D, additional, Magdeldin, Sameh, additional, Mahasha, Phetole Walter, additional, Mahotra, Narayan Bahadur, additional, Malta, Deborah Carvalho, additional, Mamun, Abdullah A, additional, Manafi, Navid, additional, Manafi, Farzad, additional, Manda, Ana-Laura, additional, Mansournia, Mohammad Ali, additional, Mapoma, Chabila Christopher, additional, Marami, Dadi, additional, Marczak, Laurie B, additional, Martins-Melo, Francisco Rogerlândio, additional, März, Winfried, additional, Masaka, Anthony, additional, Mathur, Manu Raj, additional, Maulik, Pallab K, additional, Mayala, Benjamin K, additional, McAlinden, Colm, additional, Mehndiratta, Man Mohan, additional, Mehrotra, Ravi, additional, Mehta, Kala M, additional, Meles, Gebrekiros Gebremichael, additional, Melese, Addisu, additional, Memish, Ziad A, additional, Mena, Alemayehu Toma, additional, Menezes, Ritesh G, additional, Mengesha, Melkamu Merid, additional, Mengistu, Desalegn Tadese, additional, Mengistu, Getnet, additional, Meretoja, Tuomo J, additional, Miazgowski, Bartosz, additional, Mihretie, Kebadnew Mulatu M, additional, Miller-Petrie, Molly K, additional, Mills, Edward J, additional, Mir, Seyed Mostafa, additional, Mirabi, Parvaneh, additional, Mirrakhimov, Erkin M, additional, Mohamadi-Bolbanabad, Amjad, additional, Mohammad, Karzan Abdulmuhsin, additional, Mohammad, Yousef, additional, Mohammad, Dara K, additional, Mohammad Darwesh, Aso, additional, Mohammad Gholi Mezerji, Naser, additional, Mohammadifard, Noushin, additional, Mohammed, Ammas Siraj, additional, Mohammed, Shafiu, additional, Mohammed, Jemal Abdu, additional, Mohebi, Farnam, additional, Mokdad, Ali H, additional, Monasta, Lorenzo, additional, Moodley, Yoshan, additional, Moradi, Masoud, additional, Moradi, Ghobad, additional, Moradi-Joo, Mohammad, additional, Moradi-Lakeh, Maziar, additional, Moraga, Paula, additional, Mosapour, Abbas, additional, Mouodi, Simin, additional, Mousavi, Seyyed Meysam, additional, Mozaffor, Miliva Mozaffor Mozaffor, additional, Muluneh, Atalay Goshu, additional, Muriithi, Moses K, additional, Murray, Christopher J L, additional, Murthy, GVS, additional, Musa, Kamarul Imran, additional, Mustafa, Ghulam, additional, Muthupandian, Saravanan, additional, Naderi, Mehdi, additional, Nagarajan, Ahamarshan Jayaraman, additional, Naghavi, Mohsen, additional, Najafi, Farid, additional, Nangia, Vinay, additional, Nazari, Javad, additional, Ndwandwe, Duduzile Edith, additional, Negoi, Ionut, additional, Ngunjiri, Josephine W, additional, Nguyen, QuynhAnh P, additional, Nguyen, Trang Huyen, additional, Nguyen, Cuong Tat, additional, Nigatu, Dabere, additional, Ningrum, Dina Nur Anggraini, additional, Nnaji, Chukwudi A, additional, Nojomi, Marzieh, additional, Noubiap, Jean Jacques, additional, Oh, In-Hwan, additional, Okpala, Oluchi, additional, Olagunju, Andrew T, additional, Omar Bali, Ahmed, additional, Onwujekwe, Obinna E, additional, Ortega-Altamirano, Doris D V, additional, Osarenotor, Osayomwanbo, additional, Osei, Frank B, additional, Owolabi, Mayowa Ojo, additional, P A, Mahesh, additional, Padubidri, Jagadish Rao, additional, Pana, Adrian, additional, Pashaei, Tahereh, additional, Pati, Sanghamitra, additional, Patle, Ajay, additional, Patton, George C, additional, Paulos, Kebreab, additional, Pepito, Veincent Christian Filipino, additional, Pereira, Alexandre, additional, Perico, Norberto, additional, Pesudovs, Konrad, additional, Pigott, David M, additional, Piroozi, Bakhtiar, additional, Platts-Mills, James A, additional, Poljak, Mario, additional, Postma, Maarten J, additional, Pourjafar, Hadi, additional, Pourmalek, Farshad, additional, Pourshams, Akram, additional, Poustchi, Hossein, additional, Prada, Sergio I, additional, Preotescu, Liliana, additional, Quintana, Hedley, additional, Rabiee, Navid, additional, Rabiee, Mohammad, additional, Radfar, Amir, additional, Rafiei, Alireza, additional, Rahim, Fakher, additional, Rahimi-Movaghar, Vafa, additional, Rahman, Muhammad Aziz, additional, Rajati, Fatemeh, additional, Ramezanzadeh, Kiana, additional, Rana, Saleem M, additional, Ranabhat, Chhabi Lal, additional, Rasella, Davide, additional, Rawaf, Salman, additional, Rawaf, David Laith, additional, Rawal, Lal, additional, Remuzzi, Giuseppe, additional, Renjith, Vishnu, additional, Renzaho, Andre M N, additional, Reta, Melese Abate, additional, Rezaei, Satar, additional, Ribeiro, Ana Isabel, additional, Rickard, Jennifer, additional, Rios González, Carlos Miguel, additional, Rios-Blancas, Maria Jesus, additional, Roever, Leonardo, additional, Ronfani, Luca, additional, Roro, Elias Merdassa, additional, Rostami, Ali, additional, Rothenbacher, Dietrich, additional, Rubagotti, Enrico, additional, Rubino, Salvatore, additional, Saad, Anas M, additional, Sabour, Siamak, additional, Sadeghi, Ehsan, additional, Safari, Saeed, additional, Safdarian, Mahdi, additional, Sagar, Rajesh, additional, Sahraian, Mohammad Ali, additional, Sajadi, S. Mohammad, additional, Salahshoor, Mohammad Reza, additional, Salam, Nasir, additional, Salehi, Farkhonde, additional, Salehi Zahabi, Saleh, additional, Salem, Marwa R Rashad, additional, Salem, Hosni, additional, Salimi, Yahya, additional, Salimzadeh, Hamideh, additional, Sambala, Evanson Zondani, additional, Samy, Abdallah M, additional, Sanabria, Juan, additional, Santos, Itamar S, additional, Saraswathy, Sivan Yegnanarayana Iyer, additional, Sarker, Abdur Razzaque, additional, Sartorius, Benn, additional, Sathian, Brijesh, additional, Satpathy, Maheswar, additional, Sbarra, Alyssa N, additional, Schaeffer, Lauren E, additional, Schwebel, David C, additional, Senbeta, Anbissa Muleta, additional, Senthilkumaran, Subramanian, additional, Shabaninejad, Hosein, additional, Shaheen, Amira A, additional, Shaikh, Masood Ali, additional, Shalash, Ali S, additional, Shallo, Seifadin Ahmed, additional, Shams-Beyranvand, Mehran, additional, Shamsi, MohammadBagher, additional, Shamsizadeh, Morteza, additional, Sharif, Mehdi, additional, Shey, Muki Shehu, additional, Shibuya, Kenji, additional, Shiferaw, Wondimeneh Shibabaw Shibabaw, additional, Shigematsu, Mika, additional, Shil, Apurba, additional, Shin, Jae Il, additional, Shiri, Rahman, additional, Shirkoohi, Reza, additional, Si, Si, additional, Siabani, Soraya, additional, Singh, Jasvinder A, additional, Singh, Narinder Pal, additional, Sinha, Dhirendra Narain, additional, Sisay, Malede Mequanent, additional, Skiadaresi, Eirini, additional, Smith, David L, additional, Sobhiyeh, Mohammad Reza, additional, Sokhan, Anton, additional, Soofi, Moslem, additional, Soriano, Joan B, additional, Sorrie, Muluken Bekele, additional, Soyiri, Ireneous N, additional, Sreeramareddy, Chandrashekhar T, additional, Sudaryanto, Agus, additional, Sufiyan, Mu'awiyyah Babale, additional, Suleria, Hafiz Ansar Rasul, additional, Sykes, Bryan L, additional, Tamirat, Koku Sisay, additional, Tassew, Aberash Abay, additional, Taveira, Nuno, additional, Taye, Bineyam, additional, Tehrani-Banihashemi, Arash, additional, Temsah, Mohamad-Hani, additional, Tesfay, Berhe etsay, additional, Tesfay, Fisaha Haile, additional, Tessema, Zemenu Tadesse, additional, Thankappan, Kavumpurathu Raman, additional, Thirunavukkarasu, Sathish, additional, Thomas, Nihal, additional, Tlaye, Kenean Getaneh, additional, Tlou, Boikhutso, additional, Tovani-Palone, Marcos Roberto, additional, Traini, Eugenio, additional, Tran, Khanh Bao, additional, Trihandini, Indang, additional, Ullah, Irfan, additional, Unnikrishnan, Bhaskaran, additional, Valadan Tahbaz, Sahel, additional, Valdez, Pascual R, additional, Varughese, Santosh, additional, Veisani, Yousef, additional, Violante, Francesco S, additional, Vollmer, Sebastian, additional, Vos, Theo, additional, Wada, Fiseha Wadilo, additional, Waheed, Yasir, additional, Wang, Yafeng, additional, Wang, Yuan-Pang, additional, Weldesamuel, Girmay Teklay, additional, Welgan, Catherine A, additional, Westerman, Ronny, additional, Wiangkham, Taweewat, additional, Wijeratne, Tissa, additional, Wiysonge, Charles Shey Shey, additional, Wolde, Haileab Fekadu, additional, Wondafrash, Dawit Zewdu, additional, Wonde, Tewodros Eshete, additional, Wu, Ai-Min, additional, Xu, Gelin, additional, Yadollahpour, Ali, additional, Yahyazadeh Jabbari, Seyed Hossein, additional, Yamada, Tomohide, additional, Yaseri, Mehdi, additional, Yenesew, Muluken Azage, additional, Yeshaneh, Alex, additional, Yilma, Mekdes Tigistu, additional, Yimer, Ebrahim M, additional, Yip, Paul, additional, Yirsaw, Biruck Desalegn, additional, Yisma, Engida, additional, Yonemoto, Naohiro, additional, Younis, Mustafa Z, additional, Yousof, Hebat-Allah Salah A, additional, Yu, Chuanhua, additional, Yusefzadeh, Hasan, additional, Zamani, Mohammad, additional, Zambrana-Torrelio, Carlos, additional, Zandian, Hamed, additional, Zeleke, Ayalew Jejaw, additional, Zepro, Nejimu Biza, additional, Zewale, Taye Abuhay, additional, Zhang, Dongyu, additional, Zhang, Yunquan, additional, Zhao, Xiu-Ju, additional, Ziapour, Arash, additional, Zodpey, Sanjay, additional, and Hay, Simon I, additional
- Published
- 2020
- Full Text
- View/download PDF
40. Building local capacity in operational research: a case study in Nepal and India.
- Author
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Gilbert, Suzanne S., Murthy, GVS, and Bassett, Kenneth L.
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- *
EYE care , *LEADERSHIP , *MENTORING , *MEDICAL care , *MEDICAL research - Published
- 2022
41. Management and referral for high-risk conditions and complications during the antenatal period: knowledge, practice and attitude survey of providers in rural public healthcare in two states of India
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Singh, Samiksha, Doyle, Pat, Campbell, Oona MR, and Murthy, GVS
- Abstract
BACKGROUND: Appropriate antenatal care improves pregnancy outcomes. Routine antenatal care is provided at primary care facilities in rural India and women at-risk of poor outcomes are referred to advanced centres in cities. The primary care facilities include Sub-health centres, Primary health centres, and Community health centres, in ascending order of level of obstetric care provided. The latter two should provide basic and comprehensive obstetric care, respectively, but they provide only partial services. In such scenario, the management and referrals during pregnancy are less understood. This study assessed rural providers' perspectives on management and referrals of antenatal women with high obstetric risk, or with complications. METHODS: We surveyed 147 health care providers in primary level public health care from poor and better performing districts from two states. We assessed their knowledge, attitudes and practices regarding obstetric care, referral decisions and pre-referral treatments provided for commonly occurring obstetric high-risk conditions and complications. RESULTS: Staff had sub-optimal knowledge of, and practices for, screening common high-risk conditions and assessing complications in pregnancy. Only 31% (47/147) mentioned screening for at least 10 of the 16 common high-risk conditions and early complications of pregnancy. Only 35% (17/49) of the staff at Primary health centres, and 51% (18/35) at Community health centres, mentioned that they managed these conditions and, the remaining staff referred most of such cases early in pregnancy. The staff mentioned inability to manage childbirth of women with high-risk conditions and complications. Thus in absence of efficient referral systems and communication, it was better for these women to receive antenatal care at the advanced centres (often far) where they should deliver. There were large gaps in knowledge of emergency treatment for obstetric complications in pregnancy and pre-referral first-aid. Staff generally were low on confidence and did not have adequate resources. Nurses had limited roles in decision making. Staff desired skill building, mentoring, moral support, and motivation from senior officers. CONCLUSION: The Indian health system should improve the provision of obstetric care by standardising services at each level of health care and increasing the focus on emergency treatment for complications, appropriate decision-making for referral, and improving referral communication and staff support.
- Published
- 2019
42. Models for correction of myopia in the South Asia region
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Murthy, Gvs
- Subjects
genetic structures ,sense organs ,eye diseases - Abstract
Models for correction of myopia need to target identification and correction of those with myopia on the one hand and interventions for modifiable factors to prevent onset and slow down progression on the other.
- Published
- 2019
43. Process of adaptation, development and assessment of acceptability of a health educational intervention to improve referral uptake by people with diabetes in Sri Lanka
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Piyasena, MMPN, Zuurmond, Maria, Yip, Jennifer LY, and Murthy, GVS
- Abstract
BACKGROUND: One major barrier to uptake of diabetic retinopathy (DR) services is lack of knowledge and awareness of DR among the people with diabetes (PwDM). Targeted health education (HE) can be a key element in improving the uptake of eye care services. Such interventions are lacking in Sri Lanka. METHODS: A local context specific HE intervention (HEI) was developed by adopting available resources and incorporating views from PwDM and key stakeholders. Four sessions of participatory workshops with PwDM (20 Sinhala and 13 Tamil speaking) and two stage 12 stakeholder interviews were conducted to both develop and pre-test the material. The products were a video and a leaflet, delivered at a medical clinic to a sample of 45 PwDM identified as having DR. Semi-structured interviews were conducted after 4 weeks, to evaluate the acceptability and comprehension of the HEI. Additionally, nine interviews were conducted with clinical providers to explore process issues related to delivery of the HEI. Data analysis was conducted using thematic analysis. RESULTS: The lack of knowledge and awareness on DR, and of the importance of regular DR screening and follow up, combined with poor information on referral pathways were key elements identified from the workshops with PwDM. The stakeholders prioritised the importance of using simple language, and the need for emphasis on improving understanding about the asymptomatic phase of DR. The overall acceptability of the HEI material was satisfactory, although there was some difficulty with interpretation of medical images. Overall, although PwDM liked the ideas of the video, the leaflet was seen as a more practical option, given the busy clinic environment. The key issue was both formats required interaction with the provider, in order to support understanding of the messages. CONCLUSIONS: The process of adapting HE material is not simply translation into the appropriate language. Instead, a tailored approach in a country, context and particular health services setting is needed. This study illustrates the value of using a participatory approach and involving PwDM and stakeholders in the adaptation and pilot testing of a HEI to improve uptake of screening for DR in the context of Sri Lanka.
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- 2019
44. Authors′ reply
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Murthy GVS, John N, Gupta S, Vashist P, and Rao G
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Ophthalmology ,RE1-994 - Published
- 2009
45. Family-led rehabilitation in India (ATTEND)—Findings from the process evaluation of a randomized controlled trial
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Liu, H, Lindley, R, Alim, M, Felix, C, Gandhi, DBC, Verma, SJ, Tugnawat, DK, Syrigapu, A, Ramamurthy, RK, Pandian, JD, Walker, M, Forster, A, Hackett, ML, Anderson, CS, Langhorne, P, Murthy, GVS, Maulik, PK, Harvey, LA, Jan, S, Liu, H, Lindley, R, Alim, M, Felix, C, Gandhi, DBC, Verma, SJ, Tugnawat, DK, Syrigapu, A, Ramamurthy, RK, Pandian, JD, Walker, M, Forster, A, Hackett, ML, Anderson, CS, Langhorne, P, Murthy, GVS, Maulik, PK, Harvey, LA, and Jan, S
- Abstract
Background: Training family carers to provide evidence-based rehabilitation to stroke patients could address the recognized deficiency of access to stroke rehabilitation in low-resource settings. However, our randomized controlled trial in India (ATTEND) found that this model of care was not superior to usual care alone. Aims: This process evaluation aimed to better understand trial outcomes through assessing trial implementation and exploring patients’, carers’, and providers’ perspectives. Methods: Our mixed methods study included process, healthcare use data and patient demographics from all sites; observations and semi-structured interviews with participants (22 patients, 22 carers, and 28 health providers) from six sampled sites. Results: Intervention fidelity and adherence to the trial protocol was high across the 14 sites; however, early supported discharge (an intervention component) was not implemented. Within both randomized groups, some form of rehabilitation was widely accessed. ATTEND stroke coordinators provided counseling and perceived that sustaining patients’ motivation to continue with rehabilitation in the face of significant emotional and financial stress as a key challenge. The intervention was perceived as an acceptable community-based package with education as an important component in raising the poor awareness of stroke. Many participants viewed family-led rehabilitation as a necessary model of care for poor and rural populations who could not access rehabilitation. Conclusion: Difficulty in sustaining patient and carer motivation for rehabilitation without ongoing support, and greater than anticipated access to routine rehabilitation may explain the lack of benefit in the trial. Nonetheless, family-led rehabilitation was seen as a concept worthy of further development.
- Published
- 2019
46. Do Gestational Obesity and Gestational Diabetes Have an Independent Effect on Neonatal Adiposity? Results of Mediation Analysis from a Cohort Study in South India
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Babu,Giridhara R, Deepa,R, Lewis,Melissa Glenda, Lobo,Eunice, Krishnan,Anjaly, Ana,Yamuna, Katon,Jodie G, Enquobahrie,Daniel A, Arah,Onyebuchi A, Kinra,Sanjay, Murthy,GVS, Babu,Giridhara R, Deepa,R, Lewis,Melissa Glenda, Lobo,Eunice, Krishnan,Anjaly, Ana,Yamuna, Katon,Jodie G, Enquobahrie,Daniel A, Arah,Onyebuchi A, Kinra,Sanjay, and Murthy,GVS
- Abstract
Giridhara R Babu,1 R Deepa,1 Melissa Glenda Lewis,2 Eunice Lobo,1 Anjaly Krishnan,1 Yamuna Ana,1 Jodie G Katon,3,4 Daniel A Enquobahrie,5 Onyebuchi A Arah,6–8 Sanjay Kinra,9 GVS Murthy2,10 1Indian Institute of Public Health-Bangalore, Public Health Foundation of India (PHFI), Bangalore, India; 2Indian Institute of Public Health-Hyderabad, Public Health Foundation of India (PHFI), Hyderabad, India; 3Health Services Research and Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA, USA; 4Department of Health Services, University of Washington, Seattle, WA, USA; 5Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA; 6Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA; 7California Center for Population Research, University of California, Los Angeles (UCLA), Los Angeles, CA, USA; 8UCLA Center for Health Policy Research, Los Angeles, CA, USA; 9Non-communicable Disease Epidemiology , London School of Hygiene & Tropical Medicine and, University College London Hospital, London, UK; 10International Centre for Eye Health, Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UKCorrespondence: Giridhara R BabuIndian Institute of Public Health-Bangalore, Public Health Foundation of India (PHFI), Bangalore, India, Besides Leprosy Hospital, 1st Cross, Magadi Road, Bangalore 560023, IndiaEmail giridhar@iiphh.orgPurpose: Neonates born to mothers with obesity or gestational diabetes mellitus (GDM) have an increased chance of various metabolic disorders later in life. In India, it is unclear whether maternal obesity or GDM is related to offspring adiposity. We aimed to understand the independent effect of maternal obesity and GDM with neonatal adiposity and whether GDM has a mediating effect between maternal obesity and neonatal adiposity
- Published
- 2019
47. Inequities in cataract surgical coverage in South Asia
- Author
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Khanna, Rohit and Murthy, GVS
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Cataract Surgical - Published
- 2016
48. Importance of integrating eye health into school health initiatives
- Author
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Khanna, Rohit C and Murthy, Gvs
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genetic structures ,From Our South Asia Edition ,sense organs ,eye diseases - Abstract
A comprehensive school eye health programme includes health promotion and prevention activities; activities to increase awareness about eye health among children; screening, detection and treatment of common eye conditions (URE, infections, squint, etc.) in these children.
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- 2017
49. Delivering primary eye care in the 21st century.
- Author
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Murthy, GVS
- Subjects
- *
PREVENTION of communicable diseases , *COVID-19 , *SOCIAL determinants of health , *IMMUNIZATION , *EYE care , *MEDICAL care , *PRIMARY health care , *RETROLENTAL fibroplasia , *MEDICAL protocols - Published
- 2021
50. Protocol for a randomised controlled trial to evaluate the effectiveness of the 'Care for Stroke' intervention in India: a smartphone-enabled, carer-supported, educational intervention for management of disabilities following stroke
- Author
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Sureshkumar, K, Murthy, GVS, and Kuper, Hannah
- Abstract
INTRODUCTION: The rising prevalence of stroke and stroke-related disability witnessed globally over the past decades may cause an overwhelming demand for rehabilitation services. This situation is of concern for low-income and middle-income countries like India where the resources for rehabilitation are often limited. Recently, a smartphone-enabled carer-supported educational intervention for management of physical disabilities following stroke was developed in India. It was found to be feasible and acceptable, but evidence of effectiveness is lacking. Hence, as a step forward, this study intends to evaluate clinical effectiveness of the intervention through a randomised controlled trial. METHODS: The objective of the study is to evaluate whether the 'Care for Stroke' intervention is clinically and cost-effective for the reduction of dependency in activities of daily living among stroke survivors in an Indian setting. This study is designed as a randomised controlled trial comparing people who received the intervention to those receiving standard care. The trial will be pragmatic and outcome assessor-blinded. The primary outcome for the study is dependency in daily living measured by the Modified Rankin Scale (MRS). A total of 266 adult stroke survivors who fulfil the eligibility criteria will be randomised to receive either 'Care for Stroke' intervention or standard treatment and will be followed up for 6 weeks. The main analyses will compare participants allocated to the 'Care for Stroke' intervention versus those allocated to the standard treatment group on an 'intention-to-treat' basis, irrespective of whether the participants received the treatment allocated or not. The dichotomised MRS scores (0-3 and 4-6) in both the groups will be used to calculate the effect estimates with a measure of precision (95% CI) and presented in the results of the trial. ETHICS AND DISSEMINATION: The Indian Institute of Public Health-Hyderabad/Public Health Foundation of India - Independent Institutional Ethics Committee and the Ethics Committee of the London School of HygieneandTropical Medicine. Dissemination will be through peer-reviewed publications. TRIAL REGISTRATION NUMBER: Clinical Trial Registry of India CTRI/2017/07/009014.
- Published
- 2018
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