A step closer towards achieving universal health coverage: the role of gender in enrolment in health insurance in India.

BACKGROUND: There is limited understanding of how universal health coverage (UHC) schemes such as publicly-funded health insurance (PFHI) benefit women as compared to men. Many of these schemes are gender-neutral in design but given the existing gender inequalities in many societies, their benefits may not be similar for women and men. We contribute to the evidence by conducting a gender analysis of the enrolment of individuals and households in India's national PFHI scheme, Rashtriya Swasthya Bima Yojana (RSBY). METHODS: We used data from a cross-sectional household survey on RSBY eligible families across eight Indian states and studied different outcome variables at both the individual and household levels to compare enrolment among women and men. We applied multivariate logistic regressions and controlled for several demographic and socio-economic characteristics. RESULTS: At the individual level, the analysis revealed no substantial differences in enrolment between men and women. Only in one state were women more likely to be enrolled in RSBY than men (AOR: 2.66, 95% CI: 1.32-5.38), and this pattern was linked to their status in the household. At the household level, analyses revealed that female-headed households had a higher likelihood to be enrolled (AOR: 1.36, 95% CI: 1.14-1.62), but not necessarily to have all household members enrolled. CONCLUSION: Findings are surprising in light of India's well-documented gender bias, permeating different aspects of society, and are most likely an indication of success in designing a policy that did not favour participation by men above women, by mandating spouse enrolment and securing enrolment of up to five family members. Higher enrolment rates among female-headed households are also an indication of women's preferences for investments in health, in the context of a conducive policy environment. Further analyses are needed to examine if once enrolled, women also make use of the scheme benefits to the same extent as men do. India is called upon to capitalise on the achievements of RSBY and apply them to newer schemes such as PM-JAY.

Awareness of India's national health insurance scheme (PM-JAY): a cross-sectional study across six states.

The literature suggests that a first barrier towards accessing benefits of health insurance in low- and middle-income countries is lack of awareness of one's benefits. Yet, across settings and emerging schemes, limited scientific evidence is available on levels of awareness and their determinants. To fill this gap, we assessed socio-demographic and economic determinants of beneficiaries' awareness of the Pradhan Mantri Jan Arogya Yojana (PM-JAY), the national health insurance scheme launched in India in 2018, and their awareness of own eligibility. We relied on cross-sectional household (HH) survey data collected in six Indian states between 2019 and 2020. Representative data of HHs eligible for PM-JAY from 11 618 respondents (an adult representative from each surveyed HH) were used. We used descriptive statistics and multivariable logistic regression models to explore the association between awareness of PM-JAY and of one's own eligibility and socio-economic and demographic characteristics. About 62% of respondents were aware of PM-JAY, and among the aware, 78% knew that they were eligible for the scheme. Regression analysis confirmed that older respondents with a higher educational level and salaried jobs were more likely to know about PM-JAY. Awareness was lower among respondents from Meghalaya and Tamil Nadu. Respondents from Other Backward Classes, of wealthier socio-economic status or from Meghalaya or Gujarat were more likely to be aware of their eligibility status. Respondents from Chhattisgarh were less likely to know about their eligibility. Our study confirms that while more than half of the eligible population was aware of PM-JAY, considerable efforts are needed to achieve universal awareness. Socio-economic gradients confirm that the more marginalized are still less aware. We recommend implementing tailored, state-specific information dissemination approaches focusing on knowledge of specific scheme features to empower beneficiaries to demand their entitled services.

COVID-19 vaccine equity and health equity conversations on Twitter.

This study used social network analysis and trending hashtags on Twitter to identify trends related to health and vaccine equity during the Omicron wave. The analysis was conducted using consumer-friendly platforms/tools such as the Healthcare Hashtag Project and NodeXL. The study found that during the Omicron wave, there was a higher volume of tweets related to the more specific hashtag #VaccineEquity, as compared to the more general topic of #HealthEquity. The study also identified the top influencers for these hashtags and how they changed over time. The study proposes a combination of existing tools and approaches, including ontological surveillance and social network analysis, to develop proactive strategies that respond to public opinion in a timely manner. Social network analysis tools could also be useful for healthcare organizations and providers in training their staff involved in social media management to develop better social media communication strategies.

Evidence of integrated health service delivery during COVID-19 in low and lower-middle-income countries: protocol for a scoping review.

INTRODUCTION: The importance of integrated, people-centred health systems has been recognised as a central component of Universal Health Coverage. Integration has also been highlighted as a critical element for building resilient health systems that can withstand the shock of health emergencies. However, there is a dearth of research and systematic synthesis of evidence on the synergistic relationship between integrated health services and pandemic preparedness, response, and recovery in low-income and lower-middle-income countries (LMICs). Thus, the authors are organising a scoping review aiming to explore the application of integrated health service delivery approaches during the emerging COVID-19 pandemic in LMICs. METHODS AND ANALYSIS: This scoping review adheres to the six steps for scoping reviews from Arksey and O'Malley. Peer-reviewed scientific literature will be systematically assembled using a standardised and replicable search strategy from seven electronic databases, including PubMed, Embase, Scopus, Web of Science, CINAHL Plus, the WHO's Global Research Database on COVID-19 and LitCovid. Initially, the title and abstract of the collected literature, published in English from December 2019 to June 2020, will be screened for inclusion which will be followed by a full-text review by two independent reviewers. Data will be charted using a data extraction form and reported in narrative format with accompanying data matrix. ETHICS AND DISSEMINATION: No ethical approval is required for the review. The study will be conducted from June 2020 to May 2021. Results from this scoping review will provide a snapshot of the evidence currently being generated related to integrated health service delivery in response to the COVID-19 pandemic in LMICs. The findings will be developed into reports and a peer-reviewed article and will assist policy-makers in making pragmatic and evidence-based decisions for current and future pandemic responses.

Evidence of integrated primary-secondary health care in low-and middle-income countries: protocol for a scoping review.

BACKGROUND: Integrated care is a people-centered health delivery approach that ensures the comprehensiveness, quality, and continuity of service across the settings and levels of health systems. The World Health Organization (WHO) recommends integration across levels and building-blocks of health systems as a prerequisite of Universal Health Coverage (UHC). While health systems of low- and middle-income countries (LMICs) are often fragmented and led by siloed service delivery structure, several LMICs-including India-have attempted health system integration. Several systematic reviews of evidence on healthcare integration from developed countries exist, but no synthesis from LMICs was reported to date. This review will overview the existing evidence of primary-secondary care integration (PSI) in the context of LMICs, aiming to support policy decisions for the effective integration of health delivery systems in India. METHODS: The review will be conducted following the six steps recommend by Arksey and O'Malley. Scientific and grey literature will be systematically selected from PubMed, Embase, Scopus, Web of Science, Global Index Medicus, and electronic repositories (such as WHO, World Bank, Health Policy Plus, and OpenGrey). Using a comprehensive search strategy, literature written in English and published between 2000 and 2020 will be selected, and two independent authors will screen their titles and abstracts. The result will be charted using a data extraction form and reported using tables, figures, and narrative forms. DISCUSSION: No ethical approval is necessary for the review. The final report will be developed with the consultation of other stakeholders and disseminated through workshops, conference papers, and peer review articles. The review will serve as a guiding tool to approach, implement, and test the PSI models in India and other LMICs. SCOPING REVIEW REGISTRATION: https://osf.io/kjhzt .

Mixed and Multi-Methods Protocol to Evaluate Implementation Processes and Early Effects of the Pradhan Mantri Jan Arogya Yojana Scheme in Seven Indian States.

In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers' experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India.

Variability in Prices for Erectile Dysfunction Medications-Are All Pharmacies the Same?

BACKGROUND: Variability in prices of medications is a well-known phenomenon; however, this variability has not been quantified in the realm of erectile dysfunction (ED) medications. ED medications are ideal for this quantification, because they are often not covered by insurances; therefore, the cost is the most direct reflection of price variability among pharmacies as they affect the patients. AIM: To evaluate the variability in cash prices for phosphodiesterase type 5 inhibitors (PDEIs) for ED. We also evaluated whether certain types of pharmacies consistently offer better pricing than others, and whether there was any correlation with demographic factors. METHODS: 331 pharmacies were contacted within a 25-mile radius of our institution to obtain the cash price for 4 commonly used ED medications with prespecified doses. After exclusion, 323 pharmacies were categorized as chain, independent, wholesale, or hospital-associated. Cash prices for the specified medications were evaluated. In addition, we identified demographic and socioeconomic factors to determine if these had an impact on median drug pricing within each zip code. MAIN OUTCOME MEASURE: The main outcome was the cost for patients to fill each prescription. RESULTS: Independent pharmacies provided the lowest cost for 3 of 4 of the PDEIs. The largest price difference for 10 tablets of 100 mg sildenafil between all pharmacies was 38,000%. The median cost difference between independent pharmacies and chain pharmacies for sildenafil was >900%, and >1,100% for independent pharmacies vs hospital-associated pharmacies. Demographic and socioeconomic factors had no impact on the cost. CLINICAL IMPLICATIONS: Our goal is to promote patient counseling among practitioners and to empower patients to shop for the best prices for their medications. STRENGTH AND LIMITATIONS: A strength of the study is the large cohort that was surveyed; however, a weakness is that the large majority of the cohort was comprised of chain pharmacies. Mail pharmacies could not be evaluated as they required a valid prescription before offering prices. CONCLUSION: The drastic differences in cash prices for the PDEIs give us an insight into the variability and cost-inflation of medications in the United States. These patterns hold true for other essential medications as well, and improved transparency will allow patients to make informed decisions when choosing where to purchase their medications. It may also encourage certain pharmacies to provide medications at more affordable prices. Mishra K, Bukavina L, Mahran A, et al. Variability in prices for erectile dysfunction medications-Are all pharmacies the same? J Sex Med 2018;15:1785-1791.

Health Care Coverage Decision Making in Low- and Middle-Income Countries: Experiences from 25 Coverage Schemes.

Lessons learned by countries that have successfully implemented coverage schemes for health services may be valuable for other countries, especially low- and middle-income countries (LMICs), which likewise are seeking to provide/expand coverage. The research team surveyed experts in population health management from LMICs for information on characteristics of health care coverage schemes and factors that influenced decision-making processes. The level of coverage provided by the different schemes varied. Nearly all the health care coverage schemes involved various representatives and stakeholders in their decision-making processes. Maternal and child health, cardiovascular diseases, cancer, and HIV were among the highest priorities guiding coverage development decisions. Evidence used to inform coverage decisions included medical literature, regional and global epidemiology, and coverage policies of other coverage schemes. Funding was the most commonly reported reason for restricting coverage. This exploratory study provides an overview of health care coverage schemes from participating LMICs and contributes to the scarce evidence base on coverage decision making. Sharing knowledge and experiences among LMICs can support efforts to establish systems for accessible, affordable, and equitable health care.