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Item Do health education initiatives assist socioeconomically disadvantaged populations? A systematic review and meta-analyses(BMC Public Health, 2023) E. L. Karran; A. R. Grant; H. Lee; S. J. Kamper; C. M. Williams; L. K. Wiles; R. Shala; C. V. Poddar; T. Astill; G. L. MoseleyHealth education interventions are considered critical for the prevention and management of conditions of public health concern.Item Contemporary Universal Health Coverage in India-The Case of Federal State of Odisha (Orissa)(Risk Management and Healthcare Policy, 2023) Pragyan Monalisa Sahoo; Himanshu Sekhar Rout; Mihajlo JakovljevicThe present study assessed the awareness of the public about Biju Swasthya Kalyan Yojana (BSKY), which is a flagship public-funded health insurance scheme of the Government of Odisha. The study also identified its determinants and examined utilisation of the scheme among households in Khordha district of Odisha.Item Future health expenditure in the BRICS countries: a forecasting analysis for 2035(Journal of Global Health, 2023) Pragyan Monalisa Sahoo; Himanshu Sekhar Rout; Mihajlo JakovljevicThis study examined the health expenditure trend among the BRICS from 2000 to 2019 and made predictions with an emphasis on public, pre-paid, and out-of-pocket expenditures for 2035.Item An Examination of Inter-State Variation in Utilization of Healthcare Services, Associated Financial Burden and Inequality: Evidence from Nationally Representative Survey in India(Int. J. Soc. Determ. Health Health Serv., 2024) Aashima; Rajesh SharmaThis study examines the health care utilization pattern, associated financial catastrophes, and inequality across Indian states to understand the subnational variations and aid the policy makers in this regard. Data from recent National Sample Survey (2017-2018), titled, Household Social Consumption: Health, covering 113,823 households, was employed in the study. Descriptive statistics, Erreygers concentration index (CI), and recentered influence function decomposition were applied in the study. We found that, in India, 7 percent of households experienced catastrophic health expenditure (CHE) and 1.9 percent of households were pushed below poverty line due to out-of-pocket expenditure on hospitalization. Notably, outpatient care was more burdensome (CHE: 12.1%; impoverishment: 4%). Substantial interstate variations were observed, with high financial burden in poorer states. Utilization of health care services from private health care providers was pro-rich (hospitalization CI 0.31; outpatient CI 0.10), while the occurrence of CHE incidence was pro-poor (hospitalization CI -0.10; outpatient CI -0.14). Education level, economic status, health insurance, and area of residence contributed significantly to inequalities in utilization of health care services from private providers and financial burden. The high financial burden of seeking health care necessitates the need to increase public health spending and strengthen public health infrastructure. Also, concerted efforts directed towards increasing awareness about health insurance and introducing comprehensive health insurance products (covering both inpatient and outpatient services) are imperative to augment financial risk protection in India.Item A meta-analysis of industry 4.0 design principles applied in the health sector(Eng. Appl. Artif. Intell., 2021) Amrita Sisodia; Rajni JindalThe approach of health 4.0 is driven out from the well-known industry 4.0. The goal of industry 4.0 is to bring a revolution in the manufacturing sector by digitization. The future of health management will become timelier and more personalized as new technologies will empower individuals to conduct their health monitoring by using cyber-physical systems. The design principles of industry 4.0 connect the physical and virtual world in real-time. Virtualization in health happens after the emergence of Information and Communication Technologies (ICT). For this 5G, the next-generation mobile network provides ambient intelligence for orchestration of medical services so that government and private companies can reconsider health prospects. These technological developments in healthcare, big data and industry 4.0 are individually attracting the huge attention of academics and industries. However, a detailed study of big data and industry 4.0 together concerning healthcare is still not present in the existing literature. The main contribution of this article is to present a meta-analytic approach to interpret, integrate and critically investigate the findings of original articles. This study expounds a novel approach for achieving effectual and comparable results related to the explained research problems. The results summarize about the standards used in main research directions, and existing deficiencies present in this area. The findings of this systematic literature review (SLR) can be helpful as future guidelines to researchers and practitioners working in the area of health 4.0 and related topics.Item A cluster randomized controlled trial of an electronic decision-support system to enhance antenatal care services in pregnancy at primary healthcare level in Telangana, India: trial protocol(BMC Pregnancy Childbirth, 2023) Sailesh Mohan; Monica Chaudhry; Ona McCarthy; Prashant Jarhyan; Clara Calvert; Devraj Jindal; Rajani Shakya; Emma Radovich; Dimple Kondal; Loveday Penn-Kekana; Kalpana Basany; Ambuj Roy; Nikhil Tandon; Abha Shrestha; Abha Shrestha; Biraj Karmacharya; John Cairns; Pablo Perel; Oona M. R. Campbell; Dorairaj PrabhakaranBackground India contributes 15% of the total global maternal mortality burden. Lessons learned from this trial will also inform recommendations for designing and upscaling similar mHealth interventions in other low and middle-income countries.Item Adolescent and adult perceptions of the effects of larger size graphic health warnings on conventional and plain tobacco packs in India: A community-based cross-sectional study(Tob. Induc. Dis., 2019) Gaurang P. Nazar; Monika Arora; Vinay K. Gupta; Tina Rawal; Amit Yadav; Nanda K. Kannuri; Surbhi Shrivastava; Nathan Grills; Premila WebsterINTRODUCTION We studied adolescent and adult perceptions of the effects of larger size, 85% versus 40%, Graphic Health Warnings (GHWs) on conventional and plain tobacco packs, in India. METHODS A cross-sectional survey was conducted with 2121 participants (aged >= 13 years), during the period 2015-16, in Delhi and Telangana, India. Four categories of GHWs on tobacco packs were shown: A - 40% existing (April 2013-April 2016), B - 40% new (April 2016-present), C - 85% new, and D - plain packs (85% new). Regression models tested percentage differences in choice of categories for eight outcomes, adjusted for gender, area of residence, socioeconomic status, age, and tobacco use. RESULTS Of the total 2121 participants, 1120 were from Delhi, 1001 from Telangana, 50% were males, 62% were urban residents, 12% were adolescents, and 72% had never used tobacco. Among packs shown, the majority of participants perceived the 85% size GHWs more effective than the 40% size GHWs across all outcomes. The perceived increase in noticeability of GHWs was 45% for category C (p<0.05) and 43.5% for category D (p<0.05) versus category B. In Delhi, participants perceived plain packs to be most effective in motivating quitting, preventing initiation and conveying the health message. In Telangana, adolescents believed GHWs on plain packs were most noticeable, most effective for quitting and preventing initiation. CONCLUSIONS The larger size 85% GHWs were perceived to be more effective in increasing noticeability of warnings, motivating cessation, preventing initiation, and conveying the intended health message. Support for plain packaging was higher in Delhi and among adolescents in Telangana.Item Evaluating whole system reforms: A structured approach for selecting multiple outcomes(Health Policy, 2023) Alfariany Fatimah; Philip Britteon; Alex J. Turner; Laura Anselmi; Stephanie Gillibrand; Paul Wilson; Matt Sutton; Yiu-Shing LauWhole-system reforms, including devolution and integration of health and social care services, have the potential to impact multiple dimensions of health system performance.Item Birth registration in India: Are wealth inequities decreasing?(SSM - Population Health, 2021) Amiya Bhatia; Rockli Kim; S.V. SubramanianThis study examines the geographic variation and the magnitude of wealth inequities in birth registration in India between 2005 and 2015.Item Effects of community youth teams facilitating participatory adolescent groups, youth leadership activities and livelihood promotion to improve school attendance, dietary diversity and mental health among adolescent girls in rural eastern India (JIAH trial): A cluster-randomised controlled trial(SSM-Population Health, 2023) Komal Bhatia; Suchitra Rath; Hemanta Pradhan; Subhashree Samal; Andrew Copas; Sumitra Gagrai; Shibanand Rath; Raj Kumar Gope; Nirmala Nair; Prasanta Tripathy; Kelly Rose-ClarkeTo evaluate whether and how community youth teams facilitating participatory adolescent groups, youth leadership and livelihood promotion improved school attendance, dietary diversity, and mental health among adolescent girls in rural India.