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Your search keyword '"Atul Juneja"' showing total 3 results
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1. Evaluation of methods for assigning causes of death from verbal autopsies in India

Author

Sudhir K. Benara, Saurabh Sharma, Atul Juneja, Saritha Nair, B. K. Gulati, Kh. Jitenkumar Singh, Lucky Singh, Ved Prakash Yadav, Chalapati Rao, and M. Vishnu Vardhana Rao

Subjects
cause of death, computer-coded verbal autopsy (CCVA), physician-coded verbal autopsy (PCVA), verbal autopsy, India, Information technology, T58.5-58.64
Abstract

BackgroundPhysician-coded verbal autopsy (PCVA) is the most widely used method to determine causes of death (COD) in countries where medical certification of death is low. Computer-coded verbal autopsy (CCVA), an alternative method to PCVA for assigning the COD is considered to be efficient and cost-effective. However, the performance of CCVA as compared to PCVA is yet to be established in the Indian context.MethodsWe evaluated the performance of PCVA and three CCVA methods i.e., InterVA 5, InSilico, and Tariff 2.0 on verbal autopsies done using the WHO 2016 VA tool on 2,120 reference standard cases developed from five tertiary care hospitals of Delhi. PCVA methodology involved dual independent review with adjudication, where required. Metrics to assess performance were Cause Specific Mortality Fraction (CSMF), sensitivity, positive predictive value (PPV), CSMF Accuracy, and Kappa statistic.ResultsIn terms of the measures of the overall performance of COD assignment methods, for CSMF Accuracy, the PCVA method achieved the highest score of 0.79, followed by 0.67 for Tariff_2.0, 0.66 for Inter-VA and 0.62 for InSilicoVA. The PCVA method also achieved the highest agreement (57%) and Kappa scores (0.54). The PCVA method showed the highest sensitivity for 15 out of 20 causes of death.ConclusionOur study found that the PCVA method had the best performance out of all the four COD assignment methods that were tested in our study sample. In order to improve the performance of CCVA methods, multicentric studies with larger sample sizes need to be conducted using the WHO VA tool.

Published
2023
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2. Challenges in Accessing and Delivering Maternal and Child Health Services during the COVID-19 Pandemic: A Cross-Sectional Rapid Survey from Six States of India

Author

Saurabh Sharma, Sumit Aggarwal, Ragini Kulkarni, Dinesh Kumar, Bijaya Kumar Mishra, Gaurav Raj Dwivedi, K. Rekha Devi, Raja Sriswan Mamidi, Khangembam Jitenkumar Singh, Lucky Singh, Damodar Sahu, Tulsi Adhikari, Saritha Nair, Anil Kumar, Atul Juneja, Anshita Sharma, Shahina Begum, Suchitra Surve, Ranjan Kumar Prusty, Surendra Kumar, J. J. Babu Geddam, Gargi Meur, Mahesh Kumar Mummadi, Uma Kailash, Subrata Kumar Palo, Srikanta Kanungo, Jaya Singh Kshatri, Ajit Kumar Behera, Swagatika Swain, Rajeev Singh, Kamran Zaman, Hirawati Deval, Ashok Kumar Pandey, Abu Sarkar, Rajni Kant, Kanwar Narain, Luigi D’Aquino, Asheber Gaym, Vivek Virendra Singh, and M. Vishnu Vardhana Rao

Subjects
COVID-19, maternal health, child health, childhood immunisation, India, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health
Abstract

Background/Objectives: Globally, the COVID-19 pandemic and its prevention and control policies have impacted maternal and child health (MCH) services. This study documents the challenges faced by patients in accessing MCH services, and the experiences of health care providers in delivering those services during the COVID-19 outbreak, explicitly focusing on the lockdown period in India. Methods: A cross-sectional study (rapid survey) was conducted in 18 districts from 6 states of India during March to June, 2020. The sample size included 540 MCH patients, 18 gynaecologists, 18 paediatricians, 18 district immunisation officers and 108 frontline health workers. Bivariate analysis and multivariable analysis were used to assess the association between sociodemographic characteristics, and challenges faced by the patients. Results: More than one-third of patients (n = 212; 39%) reported that accessing MCH services was a challenge during the lockdown period, with major challenges being transportation-related difficulties (n = 99; 46%) unavailability of hospital-based services (n = 54; 23%) and interrupted outreach health services (n = 39; 18.4%). The supply-side challenges mainly included lack of infrastructural preparedness for outbreak situations, and a shortage of human resources. Conclusions/Recommendations: A holistic approach is required that focuses on both preparedness and response to the outbreak, as well reassignment and reinforcement of health care professionals to continue catering to and maintaining essential MCH services during the pandemic.

Published
2023

3. Overview of

Author

Tulsi, Adhikari, M Vishnu Vardhana, Rao, Narayanam, Srikanth, Atul, Juneja, Saurabh, Sharma, Mohua, Maulik, Jyotsna, Gupta, Yashmin, Panchal, B C S, Rao, Shruti, Khanduri, Rakesh V, Narayan, Richa, Bhardwaj, and Prakriti, Batra

Abstract

Lack of research data is one of the major challenges identified in traditional medicine (TM). Further, there is an urgent need to strengthen and streamline clinical research processes as well as develop research databases in TM. The Clinical Trials Registry-India (CTRI), a free, online primary register of the WHO's International Clinical Trials Registry Platform, undertakes registration of all clinical trials being conducted in India, including TM trials. However, as the CTRI data set items are primarily designed to capture information of interventional trials of the conventional system of medicine, key fields relevant to the TM system are not adequately captured in the CTRI.The current study was conceptualized with the objective to review the type and quality of trials registered in the CTRI as well as identify the specific data set items in CTRI which may be customized as perThe trials registered from July 1, 2018, to March 31, 2020, were analyzed to decipher the kind of research being undertaken in the field ofThe fields which were identified and need tweaking and customization were the fields "health condition" and "intervention/comparator agent."These modifications in the CTRI would enable the capture of more effective

Published
2021

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