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.

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.

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.

Evaluation of a large-scale reproductive, maternal, newborn and child health and nutrition program in Bihar, India, through an equity lens.

BACKGROUND: Despite increasing focus on health inequities in low- and middle income countries, significant disparities persist. We analysed impacts of a statewide maternal and child health program among the most compared to the least marginalised women in Bihar, India. METHODS: Utilising survey-weighted logistic regression, we estimated programmatic impact using difference-in-difference estimators from Mathematica data collected at the beginning (2012, n = 10 174) and after two years of program implementation (2014, n = 9611). We also examined changes in disparities over time using eight rounds of Community-based Household Surveys (CHS) (2012-2017, n = 48 349) collected by CARE India. RESULTS: At baseline for the Mathematica data, least marginalised women generally performed desired health-related behaviours more frequently than the most marginalised. After two years, most disparities persisted. Disparities increased for skilled birth attendant identification [+16.2% (most marginalised) vs +32.6% (least marginalized), P < 0.01) and skin-to-skin care (+14.8% vs +20.4%, P < 0.05), and decreased for immediate breastfeeding (+10.4 vs -4.9, P < 0.01). For the CHS data, odds ratios compared the most to the least marginalised women as referent. Results demonstrated that disparities were most significant for indicators reliant on access to care such as delivery in a facility (OR range: 0.15 to 0.48) or by a qualified doctor (OR range: 0.08 to 0.25), and seeking care for complications (OR range: 0.26 to 0.64). CONCLUSIONS: Disparities observed at baseline generally persisted throughout program implementation. The most significant disparities were observed amongst behaviours dependent upon access to care. Changes in disparities largely were due to improvements for the least marginalised women without improvements for the most marginalised. Equity-based assessments of programmatic impacts, including those of universal health approaches, must be undertaken to monitor disparities and to ensure equitable and sustainable benefits for all. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.

Trends in reproductive, maternal, newborn and child health and nutrition indicators during five years of piloting and scaling-up of Ananya interventions in Bihar, India.

BACKGROUND: The Ananya program in Bihar implemented household and community-level interventions to improve reproductive, maternal, newborn and child health and nutrition (RMNCHN) in two phases: a first phase of intensive ancillary support to governmental implementation and innovation testing by non-government organisation (NGO) partners in eight focus districts (2012-2014), followed by a second phase of state-wide government-led implementation with techno-managerial assistance from NGOs (2014 onwards). This paper examines trends in RMNCHN indicators in the program's implementation districts from 2012-2017. METHODS: Eight consecutive rounds of cross-sectional Community-based Household Surveys conducted by CARE India in 2012-2017 provided comparable data on a large number of indicators of frontline worker (FLW) performance, mothers' behaviours, and facility-based care and outreach service delivery across the continuum of maternal and child care. Logistic regression, considering the complex survey design and sample weights generated by that design, was used to estimate trends using survey rounds 2-5 for the first phase in the eight focus districts and rounds 6-9 for the second phase in all 38 districts statewide, as well as the overall change from round 2-9 in focus districts. To aid in contextualising the results, indicators were also compared amongst the formerly focus and the non-focus districts at the beginning of the second phase. RESULTS: In the first phase, the levels of 34 out of 52 indicators increased significantly in the focus districts, including almost all indicators of FLW performance in antenatal and postnatal care, along with mother's birth preparedness, some breastfeeding practices, and immunisations. Between the two phases, 33 of 52 indicators declined significantly. In the second phase, the formerly focus districts experienced a rise in the levels of 14 of 50 indicators and a decline in the levels of 14 other indicators. There was a rise in the levels of 22 out of 50 indicators in the non-focus districts in the second phase, with a decline in the levels of 13 other indicators. CONCLUSIONS: Improvements in indicators were conditional on implementation support to program activities at a level of intensity that was higher than what could be achieved at scale so far. Successes during the pilot phase of intensive support suggests that RMNCHN can be improved statewide in Bihar with sufficient investments in systems performance improvements. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.

Impact of the Ananya program on reproductive, maternal, newborn and child health and nutrition in Bihar, India: early results from a quasi-experimental study.

BACKGROUND: The Government of Bihar (GoB) in India, the Bill and Melinda Gates Foundation and several non-governmental organisations launched the Ananya program aimed to support the GoB to improve reproductive, maternal, newborn and child health and nutrition (RMNCHN) statewide. Here we summarise changes in indicators attained during the initial two-year pilot phase (2012-2013) of implementation in eight focus districts of approximately 28 million population, aimed to inform subsequent scale-up. METHODS: The quasi-experimental impact evaluation included statewide household surveys at two time points during the pilot phase: January-April 2012 ("baseline") including an initial cohort of beneficiaries and January-April 2014 ("midline") with a new cohort. The two arms were: 1) eight intervention districts, and 2) a comparison arm comprised of the remaining 30 districts in Bihar where Ananya interventions were not implemented. We analysed changes in indicators across the RMNCHN continuum of care from baseline to midline in intervention and comparison districts using a difference-in-difference analysis. RESULTS: Indicators in the two arms were similar at baseline. Overall, 40% of indicators (20 of 51) changed significantly from baseline to midline in the comparison districts unrelated to Ananya; two-thirds (n = 13) of secular indicator changes were in a direction expected to promote health. Statistically significant impact attributable to the Ananya program was found for 10% (five of 51) of RMNCHN indicators. Positive impacts were most prominent for mother's behaviours in contraceptive utilisation. CONCLUSIONS: The Ananya program had limited impact in improving health-related outcomes during the first two-year period covered by this evaluation. The program's theories of change and action were not powered to observe statistically significant differences in RMNCHN indicators within two years, but rather aimed to help inform program improvements and scale-up. Evaluation of large-scale programs such as Ananya using theory-informed, equity-sensitive (including gender), mixed-methods approaches can help elucidate causality and better explain pathways through which supply- and demand-side interventions contribute to changes in behaviour among the actors involved in the production of population-level health outcomes. Evidence from Bihar indicates that deep structural constraints in health system organisation and delivery of interventions pose substantial limitations on behaviour change among health care providers and beneficiaries. STUDY REGISTRATION: ClinicalTrials.gov number NCT02726230.

Improving primary health care delivery in Bihar, India: Learning from piloting and statewide scale-up of Ananya.

In 2010, the Bill and Melinda Gates Foundation (BMGF) partnered with the Government of Bihar (GoB), India to launch the Ananya program to improve reproductive, maternal, newborn and child health and nutrition (RMNCHN) outcomes. The program sought to address supply- and demand-side barriers to the adoption, coverage, quality, equity and health impact of select RMNCHN interventions. Approaches included strengthening frontline worker service delivery; social and behavior change communications; layering of health, nutrition and sanitation into women's self-help groups (SHGs); and quality improvement in maternal and newborn care at primary health care facilities. Ananya program interventions were piloted in approximately 28 million population in eight innovation districts from 2011-2013, and then beginning in 2014, were scaled up by the GoB across the rest of the state's population of 104 million. A Bihar Technical Support Program provided techno-managerial support to governmental Health as well as Integrated Child Development Services, and the JEEViKA Technical Support Program supported health layering and scale-up of the GoB's SHG program. The level of support at the block level during statewide scale-up in 2014 onwards was approximately one-fourth that provided in the pilot phase of Ananya in 2011-2013. This paper - the first manuscript in an 11-manuscript and 2-viewpoint collection on Learning from Ananya: Lessons for primary health care performance improvement - seeks to provide a broad description of Ananya and subsequent statewide adaptation and scale-up, and capture the background and context, key objectives, interventions, delivery approaches and evaluation methods of this expansive program. Subsequent papers in this collection focus on specific intervention delivery platforms. For the analyses in this series, Stanford University held key informant interviews and worked with the technical support and evaluation grantees of the Ananya program, as well as leadership from the India Country Office of the BMGF, to analyse and synthesise data from multiple sources. Capturing lessons from the Ananya pilot program and statewide scale-up will assist program managers and policymakers to more effectively design and implement RMNCHN programs at scale through technical assistance to governments.

Systematic Motorcycle Management and Health Care Delivery: A Field Trial.

OBJECTIVES: We investigated whether managed transportation improves outreach-based health service delivery to rural village populations. METHODS: We examined systematic transportation management in a small-cluster interrupted time series field trial. In 8 districts in Southern Zambia, we followed health workers at 116 health facilities from September 2011 to March 2014. The primary outcome was the average number of outreach trips per health worker per week. Secondary outcomes were health worker productivity, motorcycle performance, and geographical coverage. RESULTS: Systematic fleet management resulted in an increase of 0.9 (SD = 1.0) trips to rural villages per health worker per week (P < .001), village-level health worker productivity by 20.5 (SD = 5.9) patient visits, 10.2 (SD = 1.5) measles immunizations, and 5.2 (SD = 5.4) child growth assessments per health worker per week. Motorcycle uptime increased by 3.5 days per week (P < .001), use by 1.5 days per week (P < .001), and mean distance by 9.3 kilometers per trip (P < .001). Geographical coverage of health outreach increased in experimental (P < .001) but not control districts. CONCLUSIONS: Systematic motorcycle management improves basic health care delivery to rural villages in resource-poor environments through increased health worker productivity and greater geographical coverage.

A comparison of item response theory-based methods for examining differential item functioning in object naming test by language of assessment among older Latinos.

Object naming tests are commonly included in neuropsychological test batteries. Differential item functioning (DIF) in these tests due to cultural and language differences may compromise the validity of cognitive measures in diverse populations. We evaluated 26 object naming items for DIF due to Spanish and English language translations among Latinos (n=1,159), mean age of 70.5 years old (Standard Deviation (SD)±7.2), using the following four item response theory-based approaches: Mplus/Multiple Indicator, Multiple Causes (Mplus/MIMIC; Muthén & Muthén, 1998-2011), Item Response Theory Likelihood Ratio Differential Item Functioning (IRTLRDIF/MULTILOG; Thissen, 1991, 2001), difwithpar/Parscale (Crane, Gibbons, Jolley, & van Belle, 2006; Muraki & Bock, 2003), and Differential Functioning of Items and Tests/MULTILOG (DFIT/MULTILOG; Flowers, Oshima, & Raju, 1999; Thissen, 1991). Overall, there was moderate to near perfect agreement across methods. Fourteen items were found to exhibit DIF and 5 items observed consistently across all methods, which were more likely to be answered correctly by individuals tested in Spanish after controlling for overall ability.

Impact of cognitive impairment on screening mammography use in older US women.

OBJECTIVES: We evaluated mammography rates for cognitively impaired women in the context of their life expectancies, given that guidelines do not recommend screening mammography in women with limited life expectancies because harms outweigh benefits. METHODS: We evaluated Medicare claims for women aged 70 years or older from the 2002 wave of the Health and Retirement Study to determine which women had screening mammography. We calculated population-based estimates of 2-year screening mammography prevalence and 4-year survival by cognitive status and age. RESULTS: Women with severe cognitive impairment had lower rates of mammography (18%) compared with women with normal cognition (45%). Nationally, an estimated 120,000 screening mammograms were performed among women with severe cognitive impairment despite this group's median survival of 3.3 years (95% confidence interval = 2.8, 3.7). Cognitively impaired women who had high net worth and were married had screening rates approaching 50%. CONCLUSIONS: Although severe cognitive impairment is associated with lower screening mammography rates, certain subgroups with cognitive impairment are often screened despite lack of probable benefit. Given the limited life expectancy of women with severe cognitive impairment, guidelines should explicitly recommend against screening these women.

Composite scores for executive function items: demographic heterogeneity and relationships with quantitative magnetic resonance imaging.

Accurate neuropsychological assessment of older individuals from heterogeneous backgrounds is a major challenge. Education, ethnicity, language, and age are associated with scale level differences in test scores, but item level bias might contribute to these differences. We evaluated several strategies for dealing with item and scale level demographic influences on a measure of executive abilities defined by working memory and fluency tasks. We determined the impact of differential item functioning (DIF). We compared composite scoring strategies on the basis of their relationships with volumetric magnetic resonance imaging (MRI) measures of brain structure. Participants were 791 Hispanic, white, and African American older adults. DIF had a salient impact on test scores for 9% of the sample. MRI data were available on a subset of 153 participants. Validity in comparison with structural MRI was higher after scale level adjustment for education, ethnicity/language, and gender, but item level adjustment did not have a major impact on validity. Age adjustment at the scale level had a negative impact on relationships with MRI, most likely because age adjustment removes variance related to age-associated diseases.

Anxiety symptoms and decline in physical function over 5 years in the health, aging and body composition study.

OBJECTIVES: To examine the relationship between anxiety and functional decline. DESIGN: A 5-year longitudinal cohort study of well-functioning adults. SETTING: The Health, Aging and Body Composition (Health ABC) Study. PARTICIPANTS: Two thousand nine hundred forty adults aged 70 to 79 (48% male, 41% black), initially free of self-reported mobility difficulty. MEASUREMENTS: In 1997/98, presence of three anxiety symptoms (feeling fearful, tense or keyed up, or shaky or nervous) from the Hopkins Symptom Checklist were ascertained. Physical function was examined over 5 years using the Health ABC performance battery (continuous range 0-4) consisting of chair stands, usual and narrow course gait speed, and difficulty with standing balance and self-reported mobility, defined as difficulty walking one-quarter of a mile or difficulty climbing 10 steps. RESULTS: Participants with anxiety symptoms had similar baseline physical performance scores. After adjustment for potential confounders, subjects with anxiety symptoms had similar declines in physical performance over 5 years as participants without anxiety symptoms. Adults with anxiety symptoms were more likely to report incident mobility difficulty, with a hazard ratio of 1.4 (95% confidence interval=1.3-1.6), compared with adults without anxiety symptoms. These results persisted after adjustment for depressive symptoms, demographics, comorbidity, and use of antianxiety, depressant, and sedative hypnotic medications. CONCLUSION: Anxiety symptoms are not associated with declines in objectively measured physical performance over 5 years but are associated with declines in self-reported functioning. Future studies are needed to determine why anxiety has a differential effect on performance-based and self-reported measures of functioning.

Limited literacy in older people and disparities in health and healthcare access.

OBJECTIVES: To determine the relationship between health literacy, demographics, and access to health care. DESIGN: Cross-sectional study, Health, Aging and Body Composition data (1999/2000). SETTING: Memphis, Tennessee, and Pittsburgh, Pennsylvania. PARTICIPANTS: Two thousand five hundred twelve black and white community-dwelling older people who were well functioning at baseline (without functional difficulties or dementia). MEASUREMENTS: Participants' health literacy was assessed using the Rapid Estimate of Adult Literacy in Medicine. Scores were categorized into 0 to sixth-, seventh- to eighth-, and ninth-grade and higher reading levels (limited health literacy defined as <9th grade). Participants' demographics, socioeconomic status, comorbidities, and three indicators of healthcare access (whether they had a doctor/regular place of medical care, an influenza vaccination within the year, or insurance for medications) were also assessed. RESULTS: Participants' mean age was 75.6, 52% were female, 38% were black, and 24% had limited health literacy. After adjusting for sociodemographics, associations remained between limited health literacy and being male, being black, and having low income and education, diabetes mellitus, depressive symptoms, and fair/poor self-rated health (P<.02). After adjusting for sociodemographics, health status, and comorbidities, older people with a sixth-grade reading level or lower were twice as likely to have any of the three indicators of poor healthcare access (odds ratio=1.96, 95% confidence interval=1.34-2.88). CONCLUSION: Limited health literacy was prevalent and was associated with low socioeconomic status, comorbidities, and poor access to health care, suggesting that it may be an independent risk factor for health disparities in older people.

Black-white disparities in functional decline in older persons: the role of cognitive function.

BACKGROUND: Black elders have a greater frequency of functional decline than do white elders. The impact of cognitive function on explaining black-white disparities in functional decline has not been extensively explored. METHODS: To compare the extent to which different risk domains (comorbidity, smoking, socioeconomic status (SES), self-rated health, and cognitive function) explain more frequent functional decline in black elders, we studied 779 black and 4892 white community-dwelling adults aged 70 and older from the Assets and Health Dynamics Among the Oldest Old (AHEAD), a population-based cohort study begun in 1993. Our primary outcome was worse functional status at 2 years than at baseline. We used logistic regression to compare the unadjusted with the adjusted black-white odds ratios (ORs) after adjusting for each risk domain. RESULTS: At baseline black participants aged 70-79 had higher rates of smoking, diabetes, and hypertension; lower SES; and worse cognitive function than did white participants (p <.05 for all). The mean cognitive score was 15.7 in black and 21.8 in white participants (p <.01). Black participants had a higher frequency of 2-year functional decline than did white participants (10.9% vs 4.7%; OR = 2.61, 95% confidence interval [CI], 1.69-4.03 adjusted for age and sex). Adjustment for comorbidity and smoking did not significantly change the black-white OR, whereas self-rated health and SES accounted for about half the risk. Adjustment for cognitive function accounted for nearly all the associated decline (OR = 1.10, 95% CI, 0.67-1.79). Among participants aged 80 and over, those who were black had significantly lower risk for functional decline after adjustment for cognitive function (OR = 0.61, 95% CI, 0.38-0.96 vs OR = 1.08, 95% CI, 0.70-1.66 adjusted for age and sex only). CONCLUSIONS: Cognitive function mediated the higher frequency of functional decline among black elders. Efforts to understand cognitive function may enhance our understanding of black-white disparities in health outcomes.