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Infectious diseases remain one of the major causes of health and economic burden for Indian households. Furthermore, the magnitude of economic losses on account of infectious disease episodes varies widely across rich and poor households. The primary objective of this research is to estimate the equity impact of infectious disease episodes on out-of-pocket expenditure (OOPE) and wage losses among Indian households. We analysed the Social Consumption: Health (SCH) data from the 75th round (2017–18) of India's National Sample Survey (NSSO). The sample included approximately 113,823 households and 555,352 individuals through a multistage stratified sampling process. We report i) the prevalence of infectious disease and healthcare utilisation rate by levels of care; ii) medical and non-medical OOPE per episode; iii) OOPE and wage loss as a share of households' monthly non-medical consumption expenditure (non-medical MPCE) across wealth quintiles. We adopted a microeconomic cost of illness approach to estimate the OOPE on infectious disease episodes for outpatient care and hospitalization. We also estimated potential wage losses due to a reduction in effective labour supply at the household level because of infectious disease using a production function approach. The overall prevalence of infectious diseases and hospitalization rate were 31 and 9 per thousand persons, respectively. Per capita medical OOPE was more in higher wealth quintiles for outpatient care and hospitalization. However, OOPE as a share of non-medical MPCE was higher in the poorest 20% households (outpatient: 14%; hospitalization: 153%) in comparison to the richest 20% households (outpatient: 5.5%; hospitalization: 96%). Similarly, the wage losses as a share of non-medical MPCE were higher among the poorest 20% households (outpatient: 21%; hospitalization:38%) in comparison to the richest 20% households (outpatient: 15%; hospitalization:11%). Furthermore, the proportion of households reporting the sale of assets and borrowing to finance hospitalization was higher in the poorest (24%) compared to the richest (12.5%). To our knowledge, this is the first paper which contributes to developing an understanding of the equity impact of infectious disease on households in India. We recommend improved targeting and coverage of publicly funded health insurance schemes among socially disadvantaged populations.

Abstract Introduction The key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic types associated with different dental diagnoses, using a large-scale nationally representative dataset. Methods We used a 12-month period (May 2015 to April 2016) medical audit dataset from IQVIA (formerly IMS Health). We coded the dental diagnosis provided in the medical audit data to the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the prescribed antibiotics for the diagnosis to the Anatomic Therapeutic Chemical (ATC) -2020 classification of the World Health Organization. The primary outcome measure was the medicine prescription rate per 1,000 persons per year (PRPY1000). Results Our main findings were—403 prescriptions per 1,000 persons per year in the year 2015 -2016 for all dental ailments. Across all ATC level 1 classification, ‘Diseases of hard tissues’ made up the majority of the prescriptions. ‘Beta-lactam’, ‘Penicillin,’ and ‘Cephalosporins’ were the most commonly prescribed antibiotics for dental diagnoses followed by ‘Macrolides’ and ‘Quinolones’. ‘Dental caries’, ‘Discoloration of tooth’, and ‘Toothache’ were the most common reasons for ‘Beta-Lactams’ and ‘Penicillin’ prescriptions. Conclusion To conclude our study reports first ever country (India) level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-11 classification for dental ailments.

Objective To analyse sales of fixed-dose combination and single antibiotics In India In relation to World Health Organization (WHO) recommendations and national regulatory efforts to control antibiotic sales. Methods We extracted data on sales volumes of systemic antibiotics in India from a market research company sales database. We compared the market share of antibiotic sales in 2020 by WHO AWaRe (Access, Watch and Reserve) category and for those under additional national regulatory controls. We also analysed sales of fixed-dose combinations that were: formally approved for marketing or had a no-objection certificate; on the national essential medicines list; and on the WHO list of not-recommended antibiotics. Findings There were 78 single and 112 fixed-dose combination antibiotics marketed in India, accounting for 7.6 and 4.5 billion standard units of total sales, respectively. Access, Watch and Reserve antibiotics comprised 5.8, 5.6 and 0.1 billion standard units of total market sales, respectively. All additionally controlled antibiotics were Watch and Reserve antibiotics (23.6%; 2.9 billion standard units of total sales). Fixed-dose combinations on the WHO not-recommended list were marketed in 229 formulations, with 114 formulations (49.8%) having no record of formal approval or no-objection certificate. While there were no not-recommended fixed-dose combinations on the national list of essential medicines, 13 of the top-20 selling antibiotic fixed-dose combinations were WHO not-recommended. Conclusion The sale of Watch group drugs, and antibiotics banned or not approved, needs active investigation and enforcement in India. The evidence base underpinning formal approvals and no-objection certificates for not-recommended fixed-dose combinations should be audited. Objectif Analyser les ventes d'antibiotiques en association fixe et a dose unique en Inde, a la lumiere des recommandations de l'Organisation mondiale de la Sante (OMS) et des efforts de reglementation a l'echelle nationale visant a controler la vente d'antibiotiques. Methodes Nous avons preleve des donnees relatives aux volumes de vente d'antibiotiques systemiques en Inde dans la base de donnees commerciales d'une societe d'etudes de marche. Nous avons ensuite compare la part de marche qu'occupe, en 2020, la vente d'antibiotiques appartenant a chaque categorie AWaRe (Access, Watch and Reserve) etablie par l'OMS, mais aussi de ceux cibles par des mesures nationales de controle supplementaires. Enfin, nous avons examine les ventes d'associations fixes: dont la commercialisation a ete officiellement approuvee ou qui ont fait l'objet d'un certificat de non-objection; figurant sur la liste nationale de medicaments essentiels; et reprises dans la liste des antibiotiques non recommandes par l'OMS. Resultats Nous avons comptabilise 78 antibiotiques a dose unique et 112 antibiotiques en association fixe sur le marche indien, representant respectivement 7,6 et 4,5 milliards d'unites standard sur l'ensemble des ventes. Les antibiotiques des categories Access (dont l'accessibilite est essentielle), Watch (a utiliser selectivement) et Reserve (de reserve, non recommandes) equivalaient a 5,8 milliards, 5,6 milliards et 0,1 milliard d'unites standard sur le total des transactions. Tous les antibiotiques soumis a des controles supplementaires faisaient partie des categories Watch et Reserve (23,6%; 2,9 milliards d'unites standard sur l'ensemble des ventes). Des associations fixes deconseillees par l'OMS etaient commercialisees dans 229 formulations, dont 114 (49,8%) ne possedaient ni attestation d'approbation officielle, ni certificat de non-objection. Bien qu'aucune association fixe deconseillee ne soit mentionnee sur la liste nationale de medicaments essentiels, 13 des 20 antibiotiques en association fixe les plus vendus n'etaient pas recommandes par l'OMS. Conclusion Il est necessaire de mener une enquete approfondie en Inde sur la vente de medicaments appartenant a la categorie Watch et d'antibiotiques interdits ou non approuves, et de prendre des mesures concretes. Les preuves sur lesquelles reposent les autorisations officielles et les certificats de non-objection pour les associations fixes non recommandees doivent etre verifiees. Objetivo Analizar las ventas de los antibioticos combinados en dosis fijas y en dosis unicas en la India en relacion con las recomendaciones de la Organizacion Mundial de la Salud (OMS) y los esfuerzos nacionales de regulacion para controlar las ventas de los antibioticos. Metodos Se extrajeron datos sobre los volumenes de ventas de antibioticos sistemicos en la India de una base de datos de ventas de empresas de investigacion de mercado. Se comparo la cuota de mercado de las ventas de antibioticos en 2020 por categoria AWaRe (Access, Watch and Reserve) de la OMS y para los que estaban sometidos a controles regulatorios nacionales adicionales. Tambien se analizaron las ventas de combinaciones en dosis fijas que estaban: formalmente aprobadas para su comercializacion o tenian un certificado de no objecion; en la lista nacional de medicamentos esenciales; y en la lista de antibioticos no recomendados de la OMS. Resultados En la India se comercializaron 78 antibioticos en dosis unica y 112 antibioticos combinados en dosis fijas, que representaron 7,6 y 4,5 mil millones de unidades estandar de ventas totales, respectivamente. Los antibioticos de acceso, vigilancia y reserva supusieron 5,8, 5,6 y 0,1 mil millones de unidades estandar de las ventas totales del mercado, respectivamente. Todos los antibioticos controlados adicionalmente fueron antibioticos de vigilancia y reserva (23,6 %; 2,9 mil millones de unidades estandar de las ventas totales). Las combinaciones en dosis fijas incluidas en la lista no recomendada de la OMS se comercializaron en 229 formulaciones, de las que 114 (49,8 %) no tenian registro de aprobacion formal ni certificado de no objecion. Mientras que no habia combinaciones en dosis fijas no recomendadas en la lista nacional de medicamentos esenciales, 13 de las 20 combinaciones en dosis fijas de antibioticos mas vendidas no estaban recomendadas por la OMS. Conclusion Se debe investigar y controlar activamente la venta de medicamentos del grupo Watch y de antibioticos prohibidos o no aprobados en la India. Asimismo, se debe auditar la base de pruebas que sustenta las aprobaciones formales y los certificados de no objecion para las combinaciones en dosis fijas no recomendadas., Introduction The overuse and misuse of antibiotics contribute to the development of antimicrobial resistance, eroding the drugs' effectiveness. (1) Consequently, efforts continue to be made to improve antibiotic stewardship internationally [...]

Background There is limited evidence to support use of fixed dose combination (FDC) drugs in the treatment of psychiatric disorders. This study aimed to examine the sales and regulatory status of psychotropic FDCs in India, in the context of two government regulatory initiatives.Methods Official documents were searched to establish an account of the initiatives and measures targeting psychotropic FDCs. This was integrated with private market data (2008 to 2020). Descriptive statistics were used to examine changes in FDC numbers/formulations and sales volumes in standard units (SU) over time.Results Psychotropic FDC sales volumes (percentage market share) increased from 0.8 billion SU (18.4%) in 2008 to 1.4 billion SU (20.1%) in 2020. The numbers (formulations) of FDCs also increased, from 28 (101) in 2008 to 33 (143) in 2020. Unapproved FDCs accounted for 69.3% of psychotropic FDC sales in 2008, decreasing slightly to 60.3% in 2020. Of 21 psychotropic FDCs considered under the regulatory initiatives, three went on to be banned, and two of these remained on the market in 2020.Conclusions Unapproved FDCs continue to account for most psychotropic FDC sales, potentially putting the public at risk because their safety and efficacy have not been evaluated.

Abstract Background The purpose of this research is to generate new evidence on the economic consequences of multimorbidity on households in terms of out-of-pocket (OOP) expenditures and their implications for catastrophic OOP expenditure. Methods We analyzed Social Consumption Health data from National Sample Survey Organization (NSSO) 75th round conducted in the year 2017–2018 in India. The sample included 1,13,823 households (64,552 rural and 49,271 urban) through a multistage stratified random sampling process. Prevalence of multimorbidity and related OOP expenditure were estimated. Using Coarsened Exact Matching (CEM) we estimated the mean OOP expenditure for individuals reporting multimorbidity and single morbidity for each episode of outpatient visits and hospital admission. We also estimated implications in terms of catastrophic OOP expenditure for households. Results Results suggest that outpatient OOP expenditure is invariably lower in the presence of multimorbidity as compared with single conditions of the selected Non-Communicable Diseases(NCDs) (overall, INR 720 [USD 11.3] for multimorbidity vs. INR 880 [USD 14.8] for single). In the case of hospitalization, the OOP expenditures were mostly higher for the same NCD conditions in the presence of multimorbidity as compared with single conditions, except for cancers and cardiovascular diseases. For cancers and cardiovascular, OOP expenditures in the presence of multimorbidity were lower by 39% and 14% respectively). Furthermore, around 46.7% (46.674—46.676) households reported incurring catastrophic spending (10% threshold) because of any NCD in the standalone disease scenario which rose to 63.3% (63.359–63.361) under the multimorbidity scenario. The catastrophic implications of cancer among individual diseases was the highest. Conclusions Multimorbidity leads to high and catastrophic OOP payments by households and treatment of high expenditure diseases like cancers and cardiovascular are under-financed by households in the presence of competing multimorbidity conditions. Multimorbidity should be considered as an integrated treatment strategy under the existing financial risk protection measures (Ayushman Bharat) to reduce the burden of household OOP expenditure at the country level.

Background In India, due to a lack of population-level financial risk protection mechanisms, the expenditure on healthcare is primarily out-of-pocket in nature. Through Drug Price Control Orders (DPCOs), the Indian Government attempts to keep medicine prices under check. The aim of this study was to measure the potential impact of DPCO 2013 on the utilization of antibiotics under price regulation in India using large nationally representative pharmaceutical sales data. Methods We used interrupted time series analysis, a quasi-experimental research design to estimate the impact of DPCO 2013 on the utilization of antibiotics in the private sector in India. Indian pharmaceutical sales data set, PharmaTrac from a market research company—All Indian Origin Chemists and Distributors Limited—was used for the study. The data are collected from a panel of around 18,000 stockists across 23 different regions of the country. The primary outcome measure is the percentage change (increase or decrease) in the sales volume of the antibiotics under DPCO 2013, measured in standard units (SUs). Results Our estimates suggest that post-intervention (after notification of DPCO 2013) there was an immediate reduction (level change) in the sales of antibiotics under DPCO 2013 by 3.7% (P > 0.05), followed by a sustained decline (trend change) of 0.3% (P > 0.05) as compared to the pre-intervention trend at the molecule level, but both changes were statistically insignificant. However, in terms of ‘average monthly market share,’ the DPCO 2013 notification resulted in a sharp reduction of 579% (P 0.05) (trend change) in the ‘market share of antibiotics under DPCO’ as compared to pre-intervention trend. Conclusions The impact of DPCO 2013 in terms of the overall increase in the utilization of antibiotics under price regulation was limited but there was a switch from non-price controlled antibiotics to price regulated antibiotics (notified under DPCO 2013). We argue that policies on price control need to be complemented with continuous monitoring of market behavior to have a measurable and long-term impact.

Background: The COVID-19 pandemic, caused by the novel coronavirus 2 (SARS-CoV-2), has been associated with an increased risk of secondary bacterial infections. Numerous studies have reported a surge in antibiotic usage during the COVID-19 pandemic. This study aims to examine the impact of the COVID-19 pandemic on the frequency and patterns of antibiotic prescriptions at Primary Health Care Centers (PHCC) in Qatar, comparing the period before and during the pandemic. Methods: This population-based, cross-sectional study analyzed all antibiotic prescriptions issued in two-month intervals before COVID-19 (November and December 2019) and during the initial wave (June and July 2020) of COVID-19. The study included 27 PHCCs in Qatar. Results: Prior to the COVID-19 outbreak, the PHCCs dispensed a total of 74,909 antibiotic prescriptions in November and December. During the first wave of COVID-19, the number decreased to 29,273 prescriptions in June and July 2020. Antibiotics were most commonly prescribed for adults and least commonly for the elderly, both before and during the COVID-19 period. In the pre-COVID-19 period, Betalactams and macrolides accounted for the majority (73%) of all antibiotic prescriptions across all age groups. However, during the COVID-19 period, Betalactams and other antibiotics such as Nitrofurantoin and Metronidazole (73%) were the most frequently prescribed. Conclusion: The rate of antibiotic prescriptions during the first wave of COVID-19 was lower compared to the two months preceding the pandemic at the PHCC in Qatar.

Objectives To estimate the antibiotic prescription rates for typhoid in India.Design Cross-sectional study.Setting Private sector primary care clinicians in India.Participants The data came from prescriptions of a panel of 4600 private sector primary care clinicians selected through a multistage stratified random sampling accounting for the region, specialty type and patient turnover. The data had 671 million prescriptions for antibiotics extracted from the IQVIA database for the years 2013, 2014 and 2015.Primary and secondary outcome measures Mean annual antibiotic prescription rates; sex-specific and age-specific prescription rates; distribution of antibiotic class.Results There were 8.98 million antibiotic prescriptions per year for typhoid, accounting for 714 prescriptions per 100 000 population. Children 10–19 years of age represented 18.6% of the total burden in the country in absolute numbers, 20–29 year age group had the highest age-specific rate, and males had a higher average rate (844/100 000) compared with females (627/100 000). Ten different antibiotics accounted for 72.4% of all prescriptions. Cefixime–ofloxacin combination was the preferred drug of choice for typhoid across all regions except the south. Combination antibiotics are the preferred choice of prescribers for adult patients, while cephalosporins are the preferred choice for children and young age. Quinolones were prescribed as monotherapy in 23.0% of cases.Conclusions Nationally representative private sector antibiotic prescription data during 2013–2015 indicate a higher disease burden of typhoid in India than previously estimated. The total prescription rate shows a declining trend. Young adult patients account for close to one-third of the cases and children less than 10 years account for more than a million cases annually.

Abstract Background Health policy interventions were expected to improve access to health care delivery, provide financial risk protection, besides reducing inequities that underlie geographic and socio-economic variation in population access to health care. This article examines whether health policy interventions and accelerated health investments in India during 2004–2018 could close the gap in inequity in health care utilization and access to public subsidy by different population groups. Did the poor and socio-economically vulnerable population gain from such government initiatives, compared to the rich and affluent sections of society? And whether the intended objective of improving equity between different regions of the country been achieved during the policy initiatives? This article attempts to assess and provide robust evidence in the Indian context. Methods Employing Benefit-Incidence Analysis (BIA) framework, this paper advances earlier evidence by highlighting estimates of health care utilization, concentration and government subsidy by broader provider categories (public versus private) and across service levels (outpatient, inpatient, maternal, pre-and post-natal services). We used 2 waves of household surveys conducted by the National Sample Survey Organisation (NSSO) on health and morbidity. The period of analysis was chosen to represent policy interventions spanning 2004 (pre-policy) and 2018 (post-policy era). We present this evidence across three categories of Indian states, namely, high-focus states, high-focus north eastern states and non-focus states. Such categorization facilitates quantification of reform impact of policy level interventions across the three groups. Results Utilisation of healthcare services, except outpatient care visits, accelerated significantly in 2018 from 2004. The difference in utilisation rates between poor and rich (between poorest 20% and richest 20%) had significantly declined during the same period. As far as concentration of healthcare is concerned, the Concentrate Index (CI) underlying inpatient care in public sector fell from 0.07 in 2004 to 0.05 in 2018, implying less pro-rich distribution. The CI in relation to pre-natal, institutional delivery and postnatal services in government facilities were pro-poor both in 2004 and 2018 in all 3 groups of states. The distribution of public subsidy underscoring curative services (inpatient and outpatient) remained pro-rich in 2004 but turned less pro-rich in 2018, measured by CIs which declined sharply across all groups of states for both outpatient (from 0.21 in 2004 to 0.16 in 2018) and inpatient (from 0.24 in 2004 to 0.14 in 2018) respectively. The CI for subsidy on prenatal services declined from approximately 0.01 in 2004 to 0.12 in 2018. In respect to post-natal care, similar results were observed, implying the subsidy on prenatal and post-natal services was overwhelmingly received by poor. The CI underscoring subsidy for institutional delivery although remained positive both in 2018 and 2004, but slightly increased from 0.17 in 2004 to 0.28 in 2018. Conclusions Improvement in infrastructure and service provisioning through NHM route in the public facilities appears to have relatively benefited the poor. Yet they received a relatively smaller health subsidy than the rich when utilising inpatient and outpatient health services. Inequality continues to persist across all healthcare services in private health sector. Although the NHM remained committed to broader expansion of health care services, a singular focus on maternal and child health conditions especially in backward regions of the country has yielded desired results.

There is limited seroepidemiological evidence on the magnitude and long-term durability of antibody titers of mRNA and non-mRNA vaccines in the Qatari population. This study was conducted to generate evidence on long-term anti-S IgG antibody titers and their dynamics in individuals who have completed a primary COVID-19 vaccination schedule. A total of 300 male participants who received any of the following vaccines BNT162b2/Comirnaty, mRNA-1273, ChAdOx1-S/Covishield, COVID-19 Vaccine Janssen/Johnson, or BBIBP-CorV or Covaxin were enrolled in our study. All sera samples were tested by chemiluminescent microparticle immunoassay (CMIA) for the quantitative determination of IgG antibodies to SARS-CoV-2, receptor-binding domain (RBD) of the S1 subunit of the spike protein of SARS-CoV-2. Antibodies against SARS-CoV-2 nucleocapsid (SARS-CoV-2 N-protein IgG) were also determined. Kaplan–Meier survival curves were used to compare the time from the last dose of the primary vaccination schedule to the time by which anti-S IgG antibody titers fell into the lowest quartile (range of values collected) for the mRNA and non-mRNA vaccines. Participants vaccinated with mRNA vaccines had higher median anti-S IgG antibody titers. Participants vaccinated with the mRNA-1273 vaccine had the highest median anti-S-antibody level of 13,720.9 AU/mL (IQR 6426.5 to 30,185.6 AU/mL) followed by BNT162b2 (median, 7570.9 AU/mL; IQR, 3757.9 to 16,577.4 AU/mL); while the median anti-S antibody titer for non-mRNA vaccinated participants was 3759.7 AU/mL (IQR, 2059.7–5693.5 AU/mL). The median time to reach the lowest quartile was 3.53 months (IQR, 2.2–4.5 months) and 7.63 months (IQR, 6.3–8.4 months) for the non-mRNA vaccine recipients and Pfizer vaccine recipients, respectively. However, more than 50% of the Moderna vaccine recipients did not reach the lowest quartile by the end of the follow-up period. This evidence on anti-S IgG antibody titers should be considered for informing decisions on the durability of the neutralizing activity and thus protection against infection after the full course of primary vaccination in individuals receiving different type (mRNA verus non-mRNA) vaccines and those with natural infection.

The emergence of antimicrobial resistance has raised great concern for public health in many lower-income countries including India. Socio-economic determinants like poverty, health expenditure and awareness accelerate this emergence by influencing individuals' attitudes and healthcare practices such as self-medication. This self-medication practice is highly prevalent in many countries, where antibiotics are available without prescriptions. Thus, complex dynamics of drug- resistance driven by economy, human behaviour, and disease epidemiology poses a serious threat to the community, which has been less emphasized in prior studies. Here, we formulate a game-theoretic model of human choices in self-medication integrating economic growth and disease transmission processes. We show that this adaptive behaviour emerges spontaneously in the population through a self-reinforcing process and continual feedback from the economy, resulting in the emergence of resistance as externalities of human choice under resource constraints situations. We identify that the disparity between social-optimum and individual interest in self-medication is primarily driven by the effectiveness of treatment, health awareness and public health interventions. Frequent multiple-peaks of resistant strains are also observed when individuals imitate others more readily and self-medication is more likely. Our model exemplifies that timely public health intervention for financial risk protection, and antibiotic stewardship policies can improve the epidemiological situation and prevent economic collapse.

The key objective of this research was to estimate out of pocket expenditure (OOPE) incurred by the Indian households for the treatment of childhood infections. We estimated OOPE estimates on outpatient care and hospitalization by disease conditions and type of health facilities. In addition, we also estimated OOPE as a share of households' total consumption expenditure (TCE) by MPCE quintile groups to assess the quantum of the financial burden on the households. We analyzed the Social Consumption: Health (SCH) data from National Sample Survey Organization (NSSO) 75th round (2017-18). Outcome indicators were prevalence of selected infectious diseases in children aged less than 5 years, per episode of OOPE on outpatient care in the preceding 15 days, hospitalization in the preceding year and OOPE as a share of households' total consumption expenditure. Our analysis suggests that the most common childhood infection was 'fever with rash' followed by 'acute upper respiratory infection' and 'acute meningitis'. However, the highest OOPE for outpatient care and hospitalization was reported for 'viral hepatitis' and 'tuberculosis' episodes. Among the households reporting childhood infections, OOPE was 4.8% and 6.7% of households' total consumption expenditure (TCE) for outpatient care and hospitalization, respectively. Furthermore, OOPE as a share of TCE was disproportionately higher for the poorest MPCE quintiles (outpatient, 7.9%; hospitalization, 8.2%) in comparison to the richest MPCE quintiles (outpatient, 4.8%; hospitalization, 6.7%). This treatment and care-related OOPE has equity implications for Indian households as the poorest households bear a disproportionately higher burden of OOPE as a share of TCE. Ensuring financial risk protection and universal access to care for childhood illnesses is critical to addressing inequity in care.

Objectives: Children’s cognitive and motor development is intertwined with their nutritional status and compromised by an impoverished environment. This study examined a modified Bruininks Oseretsky Test of motor proficiency - Brief Form (BOT2 BF) to evaluate its sensitivity in identifying motor differences secondary to malnutrition and poverty. Methods: Data was drawn from 1058 children who participated in a responsive-stimulation and nutrition intervention in the first two years of life. Outcome measures included motor development assessed via BOT2 BF, child anthropometry (height- and weight-for-age), according to the World Health Organization growth reference charts and household economic and demographic information collected using a family report questionnaire. Results: Mann Whitney U test was significant for malnutrition, socio-economic status and maternal literacy at p< 0.05, for a 6-item motor composite of BOT2 BF. Psychometric properties of the BOT2 BF were robust for this Pakistani cohort. Conclusion: A 6-item motor composite of BOT2 BF is a reliable tool to measure motor performance in Pakistani pre-school children Continuous....

The objective of this research was to generate the evidence on the private sector's contribution to overall immunization coverage for selected pediatric vaccines in India. Using IMS Health's (now IQVIA) vaccine sales audit data and innovative methodological approach we estimated private-sector vaccine share in the total immunization coverage across selected pediatric vaccines in India. Our estimates suggest that private sector remains an important contributor to immunization services in India not only for Universal Immunization Program vaccines (Bacillus Calmette–Guérin [19.23%], HiB pentavalent [11.09%], hepatitis B [5.75%], oral poliovirus vaccine [5.48%], Diphtheria-Pertussis-Tetanus [2.66%], and measles [2.17%]) but also for newer vaccines (hepatitis A [4.2%], rotavirus [3.4%], typhoid [3.3%], and pneumococcal conjugate vaccine [2.5%]). As the private sector continues to remain an important access point for immunization services in the country, avenues for potential synergy between public and private sectors should be explored to improve the coverage and quality of immunization services.

The key objective of this research was to generate new evidence on outpatient antibiotic prescription rate and patterns in the private sector in India. We used 12-month period (May 2013 to April 2014) medical audit dataset from IQVIA (formerly IMS Health). We coded the diagnosis provided in the medical audit data to International Statistical Classification of Diseases and Related Health Problems (ICD-10) and the prescribed antibiotics for the diagnosis to Anatomic Therapeutic Chemical (ATC) classification of World Health Organization (ATC index-2016). We calculated and reported antibiotic prescription rate per 1,000 persons per year, by age groups, antibiotic class and disease conditions. Our main findings are-approximately 519 million antibiotic prescriptions were dispensed in the private sector, which translates into 412 prescriptions per 1,000 persons per year. Majority of the antibiotic prescriptions were dispensed for acute upper respiratory infections (J06) (20.4%); unspecified acute lower respiratory infection (J22) (12.8%); disorders of urinary system (N39) (6.0%); cough (R05) (4.7%); and acute nasopharyngitis (J00) (4.6%) and highest antibiotic prescription rates were observed in the age group 0-4 years. To conclude our study reports first ever country level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-10 mapped disease conditions.

Background: The COVID-19 pandemic, caused by the novel coronavirus 2 (SARS-CoV-2), has been associated with an increased risk of secondary bacterial infections. Numerous studies have reported a surge in antibiotic usage during the COVID-19 pandemic. This study aims to examine the impact of the COVID-19 pandemic on the frequency and patterns of antibiotic prescriptions at Primary Health Care Centers (PHCC) in Qatar, comparing the period before and during the pandemic. Methods: This population-based, cross-sectional study analyzed all antibiotic prescriptions issued in two-month intervals before COVID-19 (November and December 2019) and during the initial wave (June and July 2020) of COVID-19. The study included 27 PHCCs in Qatar. Results: Prior to the COVID-19 outbreak, the PHCCs dispensed a total of 74,909 antibiotic prescriptions in November and December. During the first wave of COVID-19, the number decreased to 29,273 prescriptions in June and July 2020. Antibiotics were most commonly prescribed for adults and least commonly for the elderly, both before and during the COVID-19 period. In the pre-COVID-19 period, Betalactams and macrolides accounted for the majority (73%) of all antibiotic prescriptions across all age groups. However, during the COVID-19 period, Betalactams and other antibiotics such as Nitrofurantoin and Metronidazole (73%) were the most frequently prescribed. Conclusion: The rate of antibiotic prescriptions during the first wave of COVID-19 was lower compared to the two months preceding the pandemic at the PHCC in Qatar. [ABSTRACT FROM AUTHOR]

The pneumococcal conjugate vaccine (PCV) is not available through universal immunization programs but is available through private healthcare providers. Because the PCV coverage rates are unknown, we developed a Microsoft Excel-based coverage assessment model to estimate state-specific PCV coverage for the year 2012. Our findings suggest that in the private sector, the "overall PCV coverage" was around 0.33% that ranged between a minimum of 0.07% for Assam, India and a maximum of 2.38% for Delhi, India. Further, in major metropolitan areas, overall PCV coverage rates were: 2.28% for Delhi, India, 13.31% for Mumbai (Maharashtra), India 0.76% for Lucknow (Uttar Pradesh), India, 1.93% for Kolkata (West Bengal), India, and 4.92% for Chennai (Tamil Nadu), India highlighting that urban centers are major drivers for PCV utilization driver in the states with high PCV consumption. Hence, to improve PCV coverage, both demand side (increasing consumer awareness about pneumonia prevention) and supply side (controlling vaccine prices and indigenous vaccine production) interventions are required.

India was the largest consumer of antibiotics in 2010 in the world. Evidence suggests that countries with high per-capita antibiotic consumption have higher rates of antibiotic resistance. To control antibiotic resistance, not only reduction in antibiotic consumption is required, socio-economic factors like access to clean water and sanitation, regulation of private healthcare sector and better governance are equally important. The key objective of this research was to investigate the five year trends in consumption of major antibiotic classes in India and compare them with European Surveillance of Antimicrobial Consumption Network (ESAC-Net) countries. We used Intercontinental Marketing Statistics (IMS) Health (now IQVIA) medicine sales audit data of antibiotic sales in the retail private sector (excluding the hospitals sector) in India. We then standardized dosage trends and assigned defined daily dose (DDD) to all formulations based on the ATC/DDD index. We expressed our data in standardized matrices of DDD per 1000 inhabitants' per day (DID) to compare antibiotic use in India with ESAC-Net countries. The antibiotic use was plotted and reported by year and antibiotic class. Our main findings are-per capita antibiotic consumption in the retail sector in India has increased from 13.1 DID in 2008 to 16.0 DID in 2012-an increase of ~22%; use of newer class of antibiotics like carbapenems (J01DH), lincosamides (J01FF), glycopeptides (J01XA), 3rd generation cephalosporins (J01DD) and penicillin's with beta-lactamase inhibitors has risen; and antibiotic consumption rates in India are still low as compared to ESAC-Net countries (16.0 DID vs. 21.54 DID). To conclude our study has provided the first reliable estimates of antibiotic use in the retail sector in India vis-à-vis ESAC-Net countries. In addition, our study could provide a reference point to measure the impact of interventions directed towards reducing antibiotic use.

There is a lack of information on supply-side determinants, their utilization, and the access to pneumococcal vaccination in India. The objective of this exploratory study was to document the perceptions and perspectives of practicing pediatricians with regard to pneumococcal conjugate vaccines (PCVs) in selected metropolitan areas of India. A qualitative study was conducted to generate evidence on the perspective of pediatricians practicing in the private sector regarding pneumococcal vaccination. The pediatricians were identified from 11 metropolitan areas on the basis of PCV vaccine sales in India through multilevel stratified sampling method. Relevant information was collected through in-depth personal interviews. Finally, qualitative data analysis was carried out through standard techniques such as the identification of key domains, words, phrases, and concepts from the respondents. We observed that the majority (67.7%) of the pediatricians recommended pneumococcal vaccination to their clients, whereas 32.2% recommended it to only those who could afford it. More than half (62.9%) of the pediatricians had no preference for any brand and recommended both a 10-valent pneumococcal conjugate vaccine (PCV10) and a 13-valent PCV (PCV13), whereas 8.0% recommended none. An overwhelming majority (97.3%) of the pediatricians reported that the main reason for a patient not following the pediatrician′s advice for pneumococcal vaccination was the price of PCV. To reduce childhood pneumonia-related burden and mortality, pediatricians should use every opportunity to increase awareness about vaccine-preventable diseases, especially vaccine-preventable childhood pneumonia among their patients.