Virtual BUILD Research Collaboratory: A biomedical data science training using innovative pedagogy to address structures of racism and inequitable stress for undergraduates of color.

OBJECTIVE: The unprecedented events of 2020 required a pivot in scientific training to better prepare the biomedical research workforce to address global pandemics, structural racism, and social inequities that devastate human health individually and erode it collectively. Furthermore, this pivot had to be accomplished in the virtual environment given the nation-wide lockdown. METHODS: These needs and context led to leveraging of the San Francisco Building Infrastructure Leading to Diversity (SF BUILD) theories of change to innovate a Virtual BUILD Research Collaboratory (VBRC). The purpose of VBRC was to train Black, Indigenous, and people of color (BIPOC) students to apply their unique perspectives to biomedical research. These training activities were evaluated using a pre-post survey design that included both validated and new psychosocial scales. A new scale was piloted to measure culturally relevant pedagogy. RESULTS: VBRC scholars increased science identity on two items: thinking of myself as a scientist (+1point, p = 0.006) and belonging to a community of scientists (+1point, p = 0.069). Overall, scholars perceived stress also decreased over VBRC (-2.35 points, p = 0.02). Post VBRC, scholars had high agency scores (µ = 11.02, Md = 12, range = 6-12, σ = 1.62) and cultural humility scores (µ = 22.11, Md = 23, range = 12-24, σ = 2.71). No notable race/ethnic differences were found in any measures. CONCLUSIONS: Taken together, our innovative approach to data science training for BIPOC in unprecedented times shows promise for better preparing the workforce critically needed to address the fundamental gaps in knowledge at the intersection of public health, structural racism, and biomedical sciences.

AGE-RELATED MACULAR DEGENERATION INJECTION FREQUENCY: Effects of Distance Traveled and Travel Support.

PURPOSE: Although efficacious, intravitreal anti-vascular endothelial growth factor therapy regimens for neovascular age-related macular degeneration can prove difficult for patients to adhere to because of high cost and burden of transportation. METHODS: Analysis of electronic health record data from the San Francisco Veterans Administration Medical Center eye clinic (January 1, 2010 to December 31, 2019) was performed, extracting demographic data, anti-vascular endothelial growth factor injection history, and enrollment in the SFVA travel benefit program. Two-tailed P -values were calculated for Poisson regression examining average number of injections per year as the outcome and distance traveled as the primary predictor. Travel benefit was evaluated as a modifying effect on the distance-injection relationship. RESULTS: Three hundred and eighteen patients who received intravitreal injection for treatment of neovascular age-related macular degeneration were included in the analysis. Median (interquartile range) distance to clinic was 31.5 miles (7.4-69.4 miles). Driving distance in miles was inversely associated with average number of injections per year. Among all 318 patients, for every additional 100 miles a patient lived from our clinic, the patient received on average 2.5 fewer injections per year ( distance = -0.0025, P < 0.001), but this was not the case for patients with travel benefits ( distance = -0.0011, P = 0.362). CONCLUSION: The greater the distance from a patient's eye clinic, the lower the average number of injections per year. However, travel benefits mitigated this relationship, highlighting opportunities for improving patient's adherence through assistance programs.

The Danish-American Research Exchange (DARE): a cross-sectional study of a binational research education program.

BACKGROUND: Most medical educational programs emphasize clinical observation or clinical skill acquisition, fewer focus upon research. The Danish-American Research Exchange (DARE) program, sponsored by the Lundbeck Foundation, is unique in that the medical student initiates biomedical research collaboration between Danish and US medical institutions. To achieve this, Danish medical students (DARE students) conduct binational mentored research projects while based in the United States for 10 months. In addition, DARE students are introduced to interdisciplinary thinking about how to develop ultra-low-cost healthcare interventions through the '$10 Challenge'. METHODS: We conducted a cross-sectional study of DARE alumni over five consecutive years (2015-2020, n = 24). Research metrics included completion of a research project, primary authorship, and co-authorship of publications. The number of publications, prior to and after the DARE program were enumerated. For the first four cohorts, graduation from medical school and acceptance or intention to enter a joint MD-PhD program also were assessed. Two focus groups were conducted using constructivist grounded theory. Discussions were transcribed, redacted, and coded using Dedoose software. RESULTS: DARE Medical students were 31.2 years (range 24-35), the majority were women (67%;16/24). The majority (17/24;71%) completed a first author publication in a peer-reviewed journal with a median of 3.9 per DARE alumnus. DARE alumnus reported increased proficiency in biostatistics, epidemiology, coding and public speaking as well as stronger research qualities in creativity, critical thinking, comfort in approaching scientist in both the US and Denmark (p < 0.001 for all). Qualitative key themes included: increased confidence, a deepening of research inquiry and linkage to a research network. CONCLUSIONS: Preliminarily, this study suggests that medical students can initiate binational collaboration in medicine. Benefits include research productivity, intention to pursue academic medical careers, as well as positive impacts on motivation. This medical student-initiated research model lays the groundwork for using this model across other country pairs to promote binational collaboration.

Diné Navajo Resilience to the COVID-19 pandemic.

OBJECTIVE: To date, there are no studies of COVID-19 cases and deaths in the Navajo Nation, US. The primary objective of this manuscript is to understand whether counties with a higher proportion of Navajo (Diné) population also had higher cases and deaths of COVID-19 and whether these dropped with vaccination. METHOD: We undertook a cross-sectional analysis of county level data from March 16, 2020-May 11, 2021. Data were obtained from public repositories and the US Census for the Navajo Nation, including northeastern Arizona, southeastern Utah, and northwestern New Mexico. The primary outcome measure is the number of individuals with confirmed cases or deaths of COVID-19. A secondary outcome was COVID-19 vaccinations. RESULTS: The 11 counties in Navajo Nation have a wide variation in the percent Navajo population, the resources available (ICU beds and occupancy), and COVID-19 outcomes. Overall, there was a substantial increase in the number of cases from March 16 -July 16, 2020 (the height of the pandemic) with a doubling time of 10.12 days on Navajo Nation. The percent Navajo population was a strong predictor of COVID-19 cases and deaths per million population. COVID-19 vaccinations were inversely associated with COVID-19 cases and deaths in these counties. CONCLUSIONS: The COVID-19 pandemic on the Navajo Nation is a story of resilience. Navajo Nation was one of the hardest hit areas of the United States, with peak cases and deaths due to COVID-19. With an aggressive vaccination effort, these cases and deaths were strikingly curtailed, showing the resilience of the Navajo (Diné) people.

Traditional Healers as Health Care Providers for the Latine Community in the United States, a Systematic Review.

Background: Due to structural barriers to accessing the biomedical health care system, traditional healers (THs) often serve as the first point of contact for health care by Latine individuals in the United States. A recent assessment of the extent of use of THs by the Latine community is lacking. Methods: We conducted a systematic review of the literature published between 2000 and 2020, to assess the prevalence of use of THs by U.S. Latine individuals, health conditions for which care was sought, reasons for their use, and extent of TH use and dual use that is of biomedical health care and TH together. Primary inclusion criteria for studies included: (1) published in English, (2) focus on THs, (3) pertained to Latine individuals residing in the United States, and (4) published since 2000. Results: Eighty-five studies were reviewed; 33 met inclusion criteria. Under the overarching term of curanderos, 4 subtypes of THs were identified: sobadores, yerberos, espiritualistas, and hueseros. The lifetime prevalence of TH use varied from 6% to 67.7% depending on the demographic differences among the Latine individuals in these studies. Primary reasons for seeking care from THs were accessibility/convenience, affordability, and linguistic and cultural congruence. Discussion: The use of THs is highly prevalent for Latine community residing in the United States because they are accessible, affordable, and provide culturally and linguistically compatible care, indicating that they offer an alternative that addresses systemic structural barriers to biomedical health care. Further research on the efficacy and safety of the treatments rendered by THs and how their care might be optimally coordinated with biomedical health care, could improve health equity and access to care among Latine individuals in the United States.

Patterns of torture among forcibly displaced Eritrean men in California: A cross-sectional study.

INTRODUCTION: This study was conducted to address a lack of information in the literature regarding the frequency and consequences of specific types of torture and abuse among Eritreans seeking asylum in the United States. METHODS: Cross-sectional study of Eritreans seeking asylum in the United States presenting to a human rights clinic for forensic medical and psychological evaluations based on Istanbul Protocol. Reports were eligible for inclusion if subjects: 1) immigrated from Eritrea 2) reported torture and abuse in Eritrea, 3) were 18 or older. 59 reports met inclusion criteria. Demographic features of individuals, reported history and specific types of torture, and physical and psychological sequelae were analyzed. RESULTS: Over 300 instances of torture were reported, an average of about 6 per person. The primary forms of torture reported were beating (87.7%) and forced positioning (57.9%). 90% of asylum seekers examined had physical findings which were consistent with the torture they reported, some of which had clinical as well as forensic significance. 86% of asylum seekers met diagnostic criteria for post-traumatic stress disorder. CONCLUSION: Eritreans seeking asylum in the United States bear a high burden of post-traumatic physical and psychological morbidity.

Social Innovation For Health Research: Development of the SIFHR Checklist.

BACKGROUND: Social innovations in health are inclusive solutions to address the healthcare delivery gap that meet the needs of end users through a multi-stakeholder, community-engaged process. While social innovations for health have shown promise in closing the healthcare delivery gap, more research is needed to evaluate, scale up, and sustain social innovation. Research checklists can standardize and improve reporting of research findings, promote transparency, and increase replicability of study results and findings. METHODS AND FINDINGS: The research checklist was developed through a 3-step community-engaged process, including a global open call for ideas, a scoping review, and a 3-round modified Delphi process. The call for entries solicited checklists and related items and was open between November 27, 2019 and February 1, 2020. In addition to the open call submissions and scoping review findings, a 17-item Social Innovation For Health Research (SIFHR) Checklist was developed based on the Template for Intervention Description and Replication (TIDieR) Checklist. The checklist was then refined during 3 rounds of Delphi surveys conducted between May and June 2020. The resulting checklist will facilitate more complete and transparent reporting, increase end-user engagement, and help assess social innovation projects. A limitation of the open call was requiring internet access, which likely discouraged participation of some subgroups. CONCLUSIONS: The SIFHR Checklist will strengthen the reporting of social innovation for health research studies. More research is needed on social innovation for health.

Research Beyond the Ivory Tower: Partnering with Safety-Net Health Systems for Equity.

Safety-net health systems serve primarily low-income, racially/ethnically diverse patients who bear a disproportionate burden of disease and high social needs. Many safety-net institutions are publicly funded and are under-resourced to deliver high-quality and timely care. Further, little clinical and translational research includes safety-net populations due to lack of funding, structure to support research, and low prioritization. However, we argue that US health care as a whole will lose key insights across all levels of translational medicine-T1-T4 research, if safety-net health systems do not participate in research. Solutions such as targeted funds for safety-net research, consortium arrangements for research infrastructure, and increasing ways for clinician-researchers to have their primary home in safety-net settings are suggested to fill this gap. Achieving health equity in the U.S. is contingent upon safety-net inclusion in research to advance knowledge and develop, test, and evaluate innovations applicable across all patient populations.

Effects of integrated economic and health interventions with women's groups on health-related knowledge, behaviours and outcomes in low-income and middle-income countries: a systematic review protocol.

INTRODUCTION: Economic groups, such as microfinance or self-help groups are widely implemented in low-income and middle-income countries (LMICs). Women's groups are voluntary groups, which aim to improve the well-being of members through activities, such as joint savings, credit, livelihoods development and/or health activities. Health interventions are increasingly added on to existing women's economic groups as a public health intervention for women and their families. Here, we present the protocol for a mixed-methods systematic review we will conduct of the evidence on integrated economic and health interventions on women's groups to assess whether and how they improve health-related knowledge, behaviour and outcomes in LMICs. METHODS AND ANALYSIS: We will search seven electronic databases for published literature, along with manual searches and consultation. The review will include (1) randomised trials and non-randomised quasiexperimental studies of intervention effects of integrated economic and health interventions delivered through women's groups in LMICs, and (2) sibling studies that examine factors related to intervention content, context, implementation processes and costs. We will appraise risk of bias and study quality using standard tools. High and moderate quality studies will be grouped by health domain and synthesised without meta-analysis. Qualitative evidence will be thematically synthesised and integrated into the quantitative synthesis using a matrix approach. ETHICS AND DISSEMINATION: This protocol was reviewed and deemed exempt by the institutional review board at the American Institutes for Research. Findings will be shared through peer-reviewed publication and disseminated with programme implementers and policymakers engaged with women's groups. PROSPERO REGISTRATION NUMBER: CRD42020199998.

Adaptation of an online training and support program for caregivers of people with dementia to Indian cultural setting.

Support for caregivers of people with dementia has been identified as an action area in the Global Action Plan on the Public Health Response to Dementia 2017-2025 by the World Health Organization (WHO). As a step towards that, WHO developed iSupport - an online program to provide support and training for caregivers of people with dementia. To address the need of caregivers in India, the iSupport program was adapted to the Indian cultural setting. The process of adaptation consisted of four phases: (a) information gathering (review of literature and focus group discussions), (b) preliminary adaptation design (modifications using an adaptation guide), (c) preliminary adaptation tests (face-to-face interviews and online test run), and (d) adaptation refinement (final modifications to the intervention and study process). The initial adaptation was carried out by effecting changes in words, names, resources, caregiving scenarios and audio files to make the English version of iSupport suitable to the Indian cultural context. The results of the qualitative adaptation tests provided additional recommendations like changing the links to India specific websites, revising the eligibility criterion for caregiving duration, re-wording of e-mail texts, inclusion of a time estimate required to complete the assessments and decreasing the numbers of screens that the caregivers had to navigate in the program, which were incorporated in the final phase. Preliminary data showed that the caregivers who participated in the adaptation process found the changes acceptable. Translation of iSupport to different Indian languages could be undertaken after initial effectiveness of the program is established.

A Randomized Study to Assess the Effect of Including the Graduate Record Examinations Results on Reviewer Scores for Underrepresented Minorities.

Whether requiring Graduate Record Examinations (GRE) results for doctoral applicants affects the diversity of admitted cohorts remains uncertain. This study randomized applications to 2 population-health doctoral programs at the University of California San Francisco to assess whether masking reviewers to applicant GRE results differentially affects reviewers' scores for underrepresented minority (URM) applicants from 2018-2020. Applications with GRE results and those without were randomly assigned to reviewers to designate scores for each copy (1-10, 1 being best). URM was defined as self-identification as African American/Black, Filipino, Hmong, Vietnamese, Hispanic/Latinx, Native American/Alaska Native, or Native Hawaiian/Other Pacific Islander. We used linear mixed models with random effects for the applicant and fixed effects for each reviewer to evaluate the effect of masking the GRE results on the overall application score and whether this effect differed by URM status. Reviewer scores did not significantly differ for unmasked versus masked applications among non-URM applicants (ß = 0.15; 95% CI: -0.03, 0.33) or URM applicants (ß = 0.02, 95% CI: -0.49, 0.54). We did not find evidence that removing GREs differentially affected URM compared with non-URM students (ß for interaction = -0.13, 95% CI: -0.55, 0.29). Within these doctoral programs, results indicate that GRE scores neither harm nor help URM applicants.

Feasibility and preliminary effectiveness of an online training and support program for caregivers of people with dementia in India: a randomized controlled trial.

OBJECTIVES: Internet-based interventions involving elements of cognitive behavior therapy, psychoeducation, relaxation and skills training for caregivers of people with dementia have been found to be promising in Western countries. Given these outcomes, the adapted version of a multi-component online caregiver skills training and support program of the World Health Organization, called iSupport, was tested for feasibility and preliminary effectiveness in India. METHODS: One hundred fifty-one caregivers of family members with a diagnosis of Alzheimer's disease or dementia were randomized to either the intervention arm (iSupport; n = 74) or to the control group (an education-only e-book program; n = 77). Participants were assessed using self-rated measures of depression and perceived burden, which were the primary outcome measures, at baseline and 3-month follow-up. Person-centered attitude, self-efficacy, mastery and self-rated health were also assessed. RESULTS: Fifty-five caregivers (29 in the iSupport group and 26 in the control condition) completed the study. The recruitment and retention rate of the study were 44.67% and 36.42% respectively. No significant differences were found between the two groups at 3-month follow-up on the primary outcomes. Among the secondary outcomes, significant improvement was only seen in caregivers' person-centered attitude towards persons with dementia in the iSupport group (t = 2.228; p < 0.05). CONCLUSIONS: Despite efforts to recruit and retain participants to the online program, this study had a low recruitment and retention rate, which require closer attention and indicates a need for further adaptations of the Indian version of the iSupport program to improve its acceptability and accessibility. The lessons learned from this study will guide the further development of caregiver training and support interventions in India. The trial was registered with the Clinical Trials Registry-India (Trial Registration No. CTRI/2017/02/007876).

Social innovation research checklist: A crowdsourcing open call and digital hackathon to develop a checklist for research to advance social innovation in health.

While social innovations in health have shown promise in closing the healthcare delivery gap, especially in low- and middle-income countries (LMICs), more research is needed to evaluate, scale up, and sustain social innovations. Research checklists can standardize and improve reporting of research findings, promote transparency, and increase replicability of study results and findings. This article describes the development of a 17-item social innovation in health research checklist to assess and report social innovation projects and provides examples of good reporting. The checklist is adapted from the TIDieR checklist and will facilitate more complete and transparent reporting and increase end user engagement. SUMMARY POINTS: While many social innovations have been developed and shown promise in closing the healthcare delivery gap, more research is needed to evaluate social innovationThe Social Innovation in Health Research Checklist, the first of its kind, is a 17-item checklist to improve reporting completeness and promote transparency in the development, implementation, and evaluation of social innovations in healthThe research checklist was developed through a three-step process, including a global open call for ideas, a scoping review, and a three-round modified Delphi processUse of this research checklist will enable researchers, innovators and partners to learn more about the process and results of social innovation in health research.

Using best subset regression to identify clinical characteristics and biomarkers associated with sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (AKI) is a complex clinical disorder associated with inflammation, endothelial dysfunction, and dysregulated coagulation. With standard regression methods, collinearity among biomarkers may lead to the exclusion of important biological pathways in a single final model. Best subset regression is an analytic technique that identifies statistically equivalent models, allowing for more robust evaluation of correlated variables. Our objective was to identify common clinical characteristics and biomarkers associated with sepsis-associated AKI. We enrolled 453 septic adults within 24 h of intensive care unit admission. Using best subset regression, we evaluated for associations using a range of models consisting of 1-38 predictors (composed of clinical risk factors and plasma and urine biomarkers) with AKI as the outcome [defined as a serum creatinine (SCr) increase of ≥0.3 mg/dL within 48 h or ≥1.5× baseline SCr within 7 days]. Two hundred ninety-seven patients had AKI. Five-variable models were found to be of optimal complexity, as the best subset of five- and six-variable models were statistically equivalent. Within the subset of five-variable models, 46 permutations of predictors were noted to be statistically equivalent. The most common predictors in this subset included diabetes, baseline SCr, angiopoetin-2, IL-8, soluble tumor necrosis factor receptor-1, and urine neutrophil gelatinase-associated lipocalin. The models had a c-statistic of ∼0.70 (95% confidence interval: 0.65-0.75). In conclusion, using best subset regression, we identified common clinical characteristics and biomarkers associated with sepsis-associated AKI. These variables may be especially relevant in the pathogenesis of sepsis-associated AKI.

Perspectives on Components of an Online Training and Support Program for Dementia Family Caregivers in India: A Focus Group Study.

OBJECTIVES: There is a considerable need for support interventions for caregivers of people with dementia in developing countries, such as India. The purpose of the study was to identify the components and understand the acceptability of an online training and support program for dementia caregivers in India. METHODS: Three focus group discussions were carried out with dementia caregivers (2) and health professionals (1) to understand the requirements of an online training and support program from their perspective. The commonly recurring themes were identified and defined using thematic content analysis. RESULTS: The expectations from an online training and support program were wide-ranging from information about identification and management of dementia to support caregiver well-being. Use of simple language, cultural relevance, and an interactive design were suggestions to facilitate the use of the support program. Lack of time, difficulty in accessing the internet, lack of awareness about the portal, difficulty in reaching the rural population were anticipated as challenges in using the program. CONCLUSIONS: The study highlights the requisite components of a first of its kind online training and support program in India by integrating the experiences, motivations, challenges, and expectations of caregivers and professionals involved in dementia care. CLINICAL IMPLICATIONS: The focus group discussions in the current study provide a road map for the development of an online caregiver training and support program underlying the perspectives of the stakeholders for the consolidation of an effective dementia care program for lower resourced settings.

Geospatial variations in trends of reproductive, maternal, newborn and child health and nutrition indicators at block level in Bihar, India, during scale-up of Ananya program interventions.

BACKGROUND: Geographical variations in the levels and trajectory of health indicators at local level can inform the adaptation of interventions and development of targeted approaches for efficient scale-up of intervention impact. We examined the hypothesis that time trends of a set of reproductive, maternal, newborn, and child health and nutrition (RMNCHN) indicators varied at block-level during the statewide scale-up phase of the Ananya program in Bihar, India. METHODS: We used data on 22 selected indicators from four rounds of the Community-based Household Survey carried out between 2014 and 2017. Indicator levels at each round were estimated for each block. We used hierarchical Bayesian spatiotemporal modelling to smooth the raw estimates for each block with the estimates from its neighbouring blocks, and to examine space-time interaction models for evidence of variations in trends of indicators across blocks. We expressed the uncertainty around the smoothed levels and the trends with 95% credible intervals. RESULTS: There was evidence of variations in trends at block level in all but three indicators: facility delivery, public facility delivery, and age-appropriate initiation of complementary feeding. Fifteen indicators showed trends in opposite directions (increases in some blocks and declines in others). All blocks had at least 97.5% probability of a rise in immediate breastfeeding, early pregnancy registration, and having at least four antenatal care visits. All blocks had at least 97.5% probability of a decline in seeking care for pregnancy complications. CONCLUSIONS: The findings underscore the value of monitoring and evaluation at local level for targeted implementation of RMNCHN interventions. There is a need for identifying systematic factors leading to universal trends, or variable contextual or implementation factors leading to variable trends, in order to optimise primary health care program impact. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.

Impact of mHealth interventions for reproductive, maternal, newborn and child health and nutrition at scale: BBC Media Action and the Ananya program in Bihar, India.

BACKGROUND: Mobile health (mHealth) tools have potential for improving the reach and quality of health information and services through community health workers in low- and middle-income countries. This study evaluates the impact of an mHealth tool implemented at scale as part of the statewide reproductive,maternal, newborn and child health and nutrition (RMNCHN) program in Bihar, India. METHODS: Three survey-based data sets were analysed to compare the health-related knowledge, attitudes and behaviours amongst childbearing women exposed to the Mobile Kunji and Dr. Anita mHealth tools during their visits with frontline workers compared with those who were unexposed. RESULTS: An evaluation by Mathematica (2014) revealed that exposure to Mobile Kunji and Dr. Anita recordings were associated with significantly higher odds of consuming iron-folic acid tablets (odds ratio (OR) = 2.3, 95% confidence interval (CI) = 1.8-3.1) as well as taking a set of three measures for delivery preparedness (OR = 2.8, 95% CI = 1.9-4.2) and appropriate infant complementary feeding (OR = 1.9, 95% CI = 1.0-3.5). CARE India's Community-based Household Surveys (2012-2017) demonstrated significant improvements in early breastfeeding (OR = 1.64, 95% CI = 1.5-1.78) and exclusive breastfeeding (OR = 1.46, 95% CI = 1.33-1.62) in addition to birth preparedness practices. BBC Media Action's Usage & Engagement Survey (2014) demonstrated a positive association between exposure to Mobile Kunji and Dr. Anita and exclusive breastfeeding (58% exposed vs 43% unexposed, P < 0.01) as well as maternal respondents' trust in their frontline worker. CONCLUSIONS: Significant improvements in RMNCHN-related knowledge and behaviours were observed for Bihari women who were exposed to Mobile Kunji and Dr. Anita. This analysis is unique in its rigorous evaluation across multiple data sets of mHealth interventions implemented at scale. These results can help inform global understanding of how best to use mHealth tools, for whom, and in what contexts. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.

Health impact of self-help groups scaled-up statewide in Bihar, India.

BACKGROUND: The objective of this study was to assess the impact of self-help groups (SHGs) and subsequent scale-up on reproductive, maternal, newborn, child health, and nutrition (RMNCHN) and sanitation outcomes among marginalised women in Bihar, India from 2014-2017. METHODS: We examined RMNCHN and sanitation behaviors in women who were members of any SHGs compared to non-members, without differentiating between types of SHGs. We analysed annual surveys across 38 districts of Bihar covering 62 690 women who had a live birth in the past 12 months. All analyses utilised data from Community-based Household Surveys (CHS) rounds 6-9 collected in 2014-2017 by CARE India as part of the Bihar Technical Support Program funded by the Bill & Melinda Gates Foundation. We examined 66 RMNCHN and sanitation indicators using survey logistic regression; the comparison group in all cases was age-comparable women from the geographic contexts of the SHG members but who did not belong to SHGs. We also examined links between discussion topics in SHGs and changes in relevant behaviours, and stratification of effects by parity and mother's age. RESULTS: SHG members had higher odds compared to non-SHG members for 60% of antenatal care indicators, 22% of delivery indicators, 70% of postnatal care indicators, 50% of nutrition indicators, 100% of family planning and sanitation indicators and no immunisation indicators measured. According to delivery platform, most FLW performance indicators (80%) had increased odds, followed by maternal behaviours (57%) and facility care and outreach service delivery (22%) compared to non-SHG members. Self-report of discussions within SHGs on specific topics was associated with increased related maternal behaviours. Younger SHG members (<25 years) had attenuated health indicators compared to older group members (≥25 years), and women with more children had more positive indicators compared to women with fewer children. CONCLUSIONS: SHG membership was associated with improved RMNCHN and sanitation indicators at scale in Bihar, India. Further work is needed to understand the specific impacts of health layering upon SHGs. Working through SHGs is a promising vehicle for improving primary health care. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.

Health layering of self-help groups: impacts on reproductive, maternal, newborn and child health and nutrition in Bihar, India.

BACKGROUND: Self-help group (SHG) interventions have been widely studied in low and middle income countries. However, there is little data on specific impacts of health layering, or adding health education modules upon existing SHGs which were formed primarily for economic empowerment. We examined three SHG interventions from 2012-2017 in Bihar, India to test the hypothesis that health-layering of SHGs would lead to improved health-related behaviours of women in SHGs. METHODS: A model for health layering of SHGs - Parivartan - was developed by the non-governmental organisation (NGO), Project Concern International, in 64 blocks of eight districts. Layering included health modules, community events and review mechanisms. The health layering model was adapted for use with government-led SHGs, called JEEViKA+HL, in 37 other blocks of Bihar. Scale-up of government-led SHGs without health layering (JEEViKA) occurred contemporaneously in 433 other blocks, providing a natural comparison group. Using Community-based Household Surveys (CHS, rounds 6-9) by CARE India, 62 reproductive, maternal, newborn and child health and nutrition (RMNCHN) and sanitation indicators were examined for SHGs with health layering (Pavivartan SHGs and JEEViKA+HL SHGs) compared to those without. We calculated mean, standard deviation and odds ratios of indicators using surveymeans and survey logistic regression. RESULTS: In 2014, 64% of indicators were significantly higher in Parivartan members compared to non-members residing in the same blocks. During scale up, from 2015-17, half (50%) of indicators had significantly higher odds in health layered SHG members (Parivartan or JEEViKA+HL) in 101 blocks compared to SHG members without health layering (JEEViKA) in 433 blocks. CONCLUSIONS: Health layering of SHGs was demonstrated by an NGO-led model (Parivartan), adapted and scaled up by a government model (JEEViKA+HL), and associated with significant improvements in health compared to non-health-layered SHGs (JEEViKA). These results strengthen the evidence base for further layering of health onto the SHG platform for scale-level health change. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.