Designing and Assessing Multilevel Interventions to Improve Minority Health and Reduce Health Disparities

Applying the dissemination and implementation sciences to allergy and immunology: A Work Group Report from the AAAAI Quality, Adherence, and Outcomes Committee

Translating evidence-based practice (EBP) into real-world clinical settings often takes a considerable amount of time and resources. In allergy and immunology, the dissemination and implementation (D&I) sciences facilitate the study of how variations in knowledge, resources, patient populations, and staffing models lead to differences in the clinical care of asthma, allergic disease, and primary immunodeficiency. Despite the need for validated approaches to study how to best apply EBP in the real world, the D&I sciences are underutilized. To address this gap, an American Academy of Allergy, Asthma & Immunology (AAAAI) work group was convened to provide an overview for the role of the D&I sciences in clinical care and future research within the field. For the D&I sciences to be leveraged effectively, teams should be multidisciplinary and inclusive of community and clinical partners, and multimethods approaches to data collection and analyses should be used. Used appropriately, the D&I sciences provide important tools to promote EBP and health equity as well as optimization of clinical practice in allergy and immunology.

Toward Expanded Access to Cancer Care With Cost Awareness: An Optimization Modeling Analysis of Rwanda

PURPOSE

Cancers are a growing cause of mortality especially in low- and middle-income countries in Africa. Rwanda is no exception. Two cancer centers currently provide care to the public, but there are both political and human interest in expanding access to tertiary cancer care. Improved geographic access could lead to both better patient outcomes and a better understanding of the existing cancer burden across Rwanda.

METHODS

To identify cost-aware ways of expanding geographic access, we adopt an optimization approach and identify expansion plans that minimize the average travel time to a cancer center across the country while remaining under a given monetary budget.

RESULTS

Three additional hospitals could reduce average travel times by 40%, with the largest decrease in travel times observed in populations with long travel times. However, such an expansion would require a 50% increase in the number of in-country oncologists. We find that oncologist scarcity, as opposed to monetary constraints, is likely to be a limiting factor for improved access to cancer care.

CONCLUSION

We present an array of expansion plans and suggest that further modeling approaches that incorporate oncologist scarcity can help deliver better policy recommendations.

Effectiveness of Multilevel and Multidomain Interventions to Improve Glycemic Control in U.S. Racial and Ethnic Minority Populations: A Systematic Review and Meta-analysis

BACKGROUND

Racial and ethnic disparities in type 2 diabetes outcomes are a major public health concern. Interventions targeting multiple barriers may help address disparities.

PURPOSE

To conduct a systematic review and meta-analysis of diabetes self-management education (DSME) interventions in minority populations. We hypothesized that interventions addressing multiple levels (individual, interpersonal, community, and societal) and/or domains (biological, behavioral, physical/built environment, sociocultural environment, and health care system) would have the greatest effect on hyperglycemia.

DATA SOURCES

We performed an electronic search of research databases PubMed, Scopus, CINAHL, and PsycINFO (1985-2019).

STUDY SELECTION

We included randomized controlled trials of DSME interventions among U.S. adults with type 2 diabetes from racial and ethnic minority populations.

DATA EXTRACTION

We extracted study parameters on DSME interventions and changes in percent hemoglobin A1c (HbA1c).

DATA SYNTHESIS

A total of 106 randomized controlled trials were included. Twenty-five percent (n = 27) of interventions were exclusively individual-behavioral, 51% (n = 54) were multilevel, 66% (n = 70) were multidomain, and 42% (n = 45) were both multilevel and multidomain. Individual-behavioral interventions reduced HbA1c by -0.34 percentage points (95% CI -0.46, -0.22; I2 = 33%) (-3.7 [-5.0, -2.4] mmol/mol). Multilevel interventions reduced HbA1c by -0.40 percentage points (95% CI -0.51, -0.29; I2 = 68%) (-4.4 [-5.6, -3.2] mmol/mol). Multidomain interventions reduced HbA1c by -0.39 percentage points (95% CI -0.49, -0.29; I2 = 68%) (-4.3 [-5.4, -3.2] mmol/mol). Interventions that were both multilevel and multidomain reduced HbA1c by -0.43 percentage points (95% CI -0.55, -0.31; I2 = 69%) (-4.7 [-6.0, -3.4] mmol/mol).

LIMITATIONS

The analyses were restricted to RCTs.

CONCLUSIONS

Multilevel and multidomain DSME interventions had a modest impact on HbA1c. Few DSME trials have targeted the community and society levels or physical environment domain. Future research is needed to evaluate the effects of these interventions on outcomes beyond HbA1c.

Influence of structural racism on cancer health disparities: Tailoring measures relevant to multiple myeloma

This commentary highlights a need for comprehensive measures of structural racism tailored to cancer health disparities, in particular Black-White disparities in multiple myeloma (MM). Recent political and social calls and advances in the ability to quantitate structural racism have led to rapidly growing research on the health consequences of structural racism. However, to date, most studies have used unidimensional measures of structural racism that do not capture cumulative influences or enable the identification of factors most responsible for driving disparities. Furthermore, measures may not reflect aspects of structural racism most relevant to underlying disease processes and risks. This study proposes a multifaceted approach to measuring structural racism relevant to MM that includes comprehensive, disease- and at-risk population-tailored social and environmental data and biomarkers of susceptibility and progression related to underlying biological changes associated with structural racism. Such novel measures of structural racism may improve the ability to assess the influence of structural racism on cancer health disparities, which may advance understanding of disease etiology and differences observed by racialized groups.

Advancing health equity in cancer survivorship research: National Institutes of Health 2017-2022 portfolio review

BACKGROUND

Communities and researchers have called for a paradigm shift from describing health disparities to a health equity research agenda that addresses structural drivers. Therefore, we examined whether the cancer survivorship research portfolio has made this shift.

METHODS

We identified grants focused on populations experiencing health disparities from the National Institutes of Health (NIH) Cancer Survivorship Research Portfolio (N = 724), Fiscal Years 2017-2022. Grant characteristics were abstracted, drivers of health disparities were mapped onto the levels and domains of influence, and opportunities for future research were identified.

RESULTS

A total of 147 survivorship grants focused on health disparities were identified, of which 73.5% of grants focused on survivors from racial and ethnic minoritized groups, 25.9% living in rural areas, 24.5% socioeconomically disadvantaged, and 2.7% sexual and gender minority groups. Study designs were 51.0% observational; 82.3% of grants measured or intervened on at least 1 individual-level of influence compared to higher levels of influence (32.7% interpersonal, 41.5% institutional and community, and 12.2% societal). Behavioral and health care system domains of influence were commonly represented, especially at the individual level (47.6% and 36.1%, respectively). Less frequently represented was the physical and built environment (12.2%).

CONCLUSIONS

NIH-funded cancer survivorship research on health disparities is still focused on individual level of influence. However, the proportion of grants examining structural and social drivers as well as the mechanisms that drive disparities in health care and health outcomes among cancer survivors have increased over time. Gaps in funded research on specific populations, cancer types, and focus areas of survivorship science were identified and warrant priority.

Multilevel Interventions Targeting Obesity: State of the Science and Future Directions

A seminal report, released in 2001 by the Institute of Medicine, spurred research on the design, implementation, and evaluation of multilevel interventions targeting obesity and related behaviors. By addressing social and environmental factors that support positive health behavior change, interventions that include multiple levels of influence (e.g., individual, social, structural) aim to bolster effectiveness and, ultimately, public health impact. With more than 20 years of multilevel obesity intervention research to draw from, this review was informed by published reviews (n = 51) and identified intervention trials (n = 103), inclusive of all ages and countries, to elucidate key learnings about the state of the science. This review provides a critical appraisal of the scientific literature related to multilevel obesity interventions and includes a description of their effectiveness on adiposity outcomes and prominent characteristics (e.g., population, setting, levels). Key objectives for future research are recommended to advance innovations to improve population health and reduce obesity.

The Secret Sauce? Taking the Mystery Out of Scaling-Up School-Based Physical Activity Interventions

Over the last 4 decades, physical activity researchers have invested heavily in determining "what works" to promote healthy behaviors in schools. Single and multicomponent school-based interventions that target physical education, active transportation, and/or classroom activity breaks effectively increased physical activity among children and youth. Yet, few of these interventions are ever scaled-up and implemented under real-world conditions and in diverse populations. To achieve population-level health benefits, there is a need to design school-based health-promoting interventions for scalability and to consider key aspects of the scale-up process. In this opinion piece, we aim to identify challenges and advance knowledge and action toward scaling-up school-based physical activity interventions. We highlight the key roles of planning for scale-up at the outset, scale-up pathways, trust among partners and program support, program adaptation, evaluation of scale-up, and barriers and facilitators to scaling-up. We draw upon our experience scaling-up effective school-based interventions and provide a solid foundation from which others can work toward bridging the implementation-to-scale-up gap.

Improving student diet and food security in higher education using participatory and co-creation approaches: a systematic review

BACKGROUND

Higher education students are an important target group for public health nutrition interventions. When designing tailored and contextually relevant interventions, participatory and co-creation approaches are increasingly recognized as promising but their use and effectiveness has not been assessed in this type of population. We systematically reviewed interventions aiming to improve dietary quality and/or food security in higher education settings with the aims 1) to identify and describe their participatory and co-creation approaches and 2) to compare the effectiveness of interventions using or not using participatory and co-creation approaches.

METHODS

Our search in PubMed, Google Scholar, Web of Science, EMBASE was performed in January 2023 and yielded 3658 unique records, out of which 42 articles (66 interventions) were included. Effectiveness of interventions was assessed at the individual level (longitudinal evaluations) or at the group level (repeated cross-sectional evaluations). A five-level classification was used to describe a continuum of engagement from students and other partners in the intervention design and implementation: no participation (level one), consultation, co-production, co-design and co-creation (levels two to five). To synthetize effectiveness, comparisons were made between studies without participation (level one) or with participation (levels two-five).

RESULTS

Ten (24%) out of 42 studies used a participatory and co-creation approach (levels two-five). Studies using a participatory and co-creation approach reported a positive finding on individual-level outcome (i.e. overall diet quality or food group intake or food security) in 5/13 (38%) intervention arms (vs 13/31 or 42% for those without participation). Studies using a participatory and co-creation approach reported a positive finding on group-level outcomes (i.e. food choices in campus food outlets) in 4/7 (57%) (vs 8/23 or 35% in those without participation).

CONCLUSIONS

Participatory and co-creation approaches may improve the effectiveness of nutrition interventions in higher education settings but the level of evidence remains very limited. More research is warranted to identify best co-creation practices when designing, implementing and evaluating nutritional interventions in the higher education setting.

TRIAL REGISTRATION

PROSPERO registration number CRD42023393004.

A Hybrid Pragmatic and Factorial Cluster Randomized Controlled Trial for an Anti-racist, Multilevel Intervention to Improve Mental Health Equity in High Schools

Systemic racism is pervasive in US society and disproportionately limits opportunities for education, work, and health for historically marginalized and minoritized racial and ethnic groups, making it an urgent issue of social justice. Because systemic racism is a social determinant of health prevalent across multiple social and institutional structures, it requires multilevel intervention approaches using effective designs and analytic methods to measure and evaluate outcomes. Racism is a fundamental cause of poor health outcomes, including mental health outcomes; thus, mental health services and programs that address racism and discrimination are key to promoting positive mental health of racial and ethnic minority youth. While multilevel interventions are well-suited for improving outcomes like youth mental health disparities, their evaluation poses unique methodological challenges, requiring specialized design and analytic approaches. There has been limited methodological guidance provided to researchers on how to test multilevel interventions using approaches that balance methodological rigor, practicality, and acceptability across stakeholder groups, especially within communities most affected by systemic racism. This paper addresses this gap by providing an example of how to rigorously evaluate a hypothetical, theoretically based, multilevel intervention promoting mental health equity in three US school systems using an anti-racist approach intervening at the macro- (i.e., school system), meso- (i.e., school), and micro- (i.e., family and student) levels to improve mental health in adolescents. We describe the design, sample size considerations, and analytic methods to comprehensively evaluate its effectiveness while exploring the extent to which the components interact synergistically to improve outcomes. The methodological approach proposed can be adapted to other multilevel interventions that include strategies addressing macro-, meso-, and micro-levels of influence.

Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized Trials

Cluster-randomized trials (CRTs) often allocate intact clusters of participants to treatment or control conditions and are increasingly used to evaluate healthcare delivery interventions. While previous studies have developed sample size methods for testing confirmatory hypotheses of treatment effect heterogeneity in CRTs (i.e., targeting the difference between subgroup-specific treatment effects), sample size methods for testing the subgroup-specific treatment effects themselves have not received adequate attention-despite a rising interest in health equity considerations in CRTs. In this article, we develop formal methods for sample size and power analyses for testing subgroup-specific treatment effects in parallel-arm CRTs with a continuous outcome and a binary subgroup variable. We point out that the variances of the subgroup-specific treatment effect estimators and their covariance are given by weighted averages of the variance of the overall average treatment effect estimator and the variance of the heterogeneous treatment effect estimator. This analytical insight facilitates an explicit characterization of the requirements for both the omnibus test and the intersection-union test to achieve the desired level of power. Generalizations to allow for subgroup-specific variance structures are also discussed. We report on a simulation study to validate the proposed sample size methods and demonstrate that the empirical power corresponds well with the predicted power for both tests. The design and setting of the Umea Dementia and Exercise (UMDEX) CRT in older adults are used to illustrate our sample size methods.

Application of a Heuristic Framework for Multilevel Interventions to Eliminate the Impact of Unjust Social Processes and Other Harmful Social Determinants of Health

There is consensus about the importance of developing a strong cadre of effective multilevel interventions to eliminate the impacts of unjust social processes, such as structural racism and other harmful social determinants of health (SDOH), on health inequities in the USA. However, the available cadre of rigorously evaluated evidence-based interventions for SDOH mitigation remains underdeveloped relative to the magnitude of historic and current health inequities. The proposed manuscript addresses this gap in two ways: first, by introducing a heuristic framework to inform decisions in multilevel intervention development, study design, and selection of analytic methods and, second, by providing a roadmap for future applications of the framework in multilevel intervention research through an exemplar application using the ongoing NIH-funded evaluation study of the Nurse-Community-Family Partnership (NCFP) intervention. NCFP leverages individual, family, institutional, and system factors to shape COVID-19 mitigation outcomes at the individual and household levels. NCFP takes an approach informed by the heuristic framework to addressing and mitigating unjust social processes and other harmful SDOH. We discuss the application of a two-arm parallel explanatory group randomized trial to evaluate the efficacy of NCFP in improving the primary (COVID-19 testing uptake) and secondary (adoption of COVID-19 control measures, COVID-19 vaccine uptake, mutual aid capacity, etc.) outcomes at the individual and household levels. The analysis approach relies on random-intercept models, and we calculate the variance partitioning coefficient to estimate the extent to which household- and individual-level variables contribute to the outcome, allowing examination of NCFP effects at multiple levels.

Multilevel Intervention Stepped Wedge Designs (MLI-SWDs)

Multilevel interventions (MLIs) hold promise for reducing health inequities by intervening at multiple types of social determinants of health consistent with the socioecological model of health. In spite of their potential, methodological challenges related to study design compounded by a lack of tools for sample size calculation inhibit their development. We help address this gap by proposing the Multilevel Intervention Stepped Wedge Design (MLI-SWD), a hybrid experimental design which combines cluster-level (CL) randomization using a Stepped Wedge design (SWD) with independent individual-level (IL) randomization. The MLI-SWD is suitable for MLIs where the IL intervention has a low risk of interference between individuals in the same cluster, and it enables estimation of the component IL and CL treatment effects, their interaction, and the combined intervention effect. The MLI-SWD accommodates cross-sectional and cohort designs as well as both incomplete (clusters are not observed in every study period) and complete observation patterns. We adapt recent work using generalized estimating equations for SWD sample size calculation to the multilevel setting and provide an R package for power and sample size calculation. Furthermore, motivated by our experiences with the ongoing NC Works 4 Health study, we consider how to apply the MLI-SWD when individuals join clusters over the course of the study. This situation arises when unemployment MLIs include IL interventions that are delivered while the individual is unemployed. This extension requires carefully considering whether the study interventions will satisfy additional causal assumptions but could permit randomization in new settings.

Leveraging Key Informant Interviews to Inform Intervention Development: The Greater Lawndale Healthy Work Project

BACKGROUND

The Greater Lawndale Healthy Work project is a sequential mixed methods community based participatory research project that examines work as a structural determinant of health and builds community capacity for healthy work in a predominantly Black and Latinx community in Chicago known as Greater Lawndale (GL).

OBJECTIVES

We interviewed community leaders in GL as key informants to understand the barriers to healthy work and inform intervention development.

METHODS

We conducted a directed content analysis of transcripts from 20 key informants and coded the social ecology and type of intervention.

RESULTS

Every key informant mentioned at least one asset in GL, showing an opportunity to employ a capacity-oriented approach to intervention development. Key informants suggested a variety of interventions to address precarious work across levels of the social ecology, with individual and community level interventions being the most salient.

CONCLUSION

Through this approach, we were able to navigate tensions and challenges in conducting research for community-wide change. Key informant stakeholder interviews can be leveraged to meaningfully inform intervention development and support the development of multi-level, sustainable, and culturally acceptable interventions that advance health equity.

Integrated domestic violence and reproductive health interventions in India: a systematic review

BACKGROUND

Domestic violence is a leading cause of poor health outcomes during pregnancy and the postpartum period. Therefore, there is a need for integrated domestic violence interventions in reproductive health care settings. India has one of the highest maternal and child mortality rates. This review aimed to identify characteristics of existing evidence-based integrated domestic violence and reproductive healthcare interventions in India to identify gaps and components of interventions that demonstrate effectiveness for addressing domestic violence.

METHODS

A systematic review of intervention studies was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Three research team members performed independent screening of title, abstracts and full-texts.

RESULTS

The search resulted in 633 articles, of which 13 articles met inclusion criteria for full text screening and analysis. Common components of integrated violence and reproductive health interventions that were effective in addressing domestic violence included: psychoeducation/education (n = 5), skill building (n = 5), counseling (n = 5), engaging stakeholders with use of trained lay peer facilitators (n = 3), and engaging male spouses (n = 3).

CONCLUSIONS

Interventions in India for domestic violence that are integrated with reproductive health care remain few, and there are fewer with effective outcomes for domestic violence. Of those with effective outcomes, all of the interventions utilized psychoeducation/education, skill building, and counseling as part of the intervention.

Disaggregation of Green Space Access, Walkability, and Behavioral Risk Factor Data for Precise Estimation of Local Population Characteristics

BACKGROUND

Social and Environmental Determinants of Health (SEDH) provide us with a conceptual framework to gain insights into possible associations among different human behaviors and the corresponding health outcomes that take place often in and around complex built environments. Developing better built environments requires an understanding of those aspects of a community that are most likely to have a measurable impact on the target SEDH. Yet data on local characteristics at suitable spatial scales are often unavailable. We aim to address this issue by application of different data disaggregation methods.

METHODS

We applied different approaches to data disaggregation to obtain small area estimates of key behavioral risk factors, as well as geospatial measures of green space access and walkability for each zip code of Allegheny County in southwestern Pennsylvania.

RESULTS

Tables and maps of local characteristics revealed their overall spatial distribution along with disparities therein across the county. While the top ranked zip codes by behavioral estimates generally have higher than the county's median individual income, this does not lead them to have higher than its median green space access or walkability.

CONCLUSION

We demonstrated the utility of data disaggregation for addressing complex questions involving community-specific behavioral attributes and built environments with precision and rigor, which is especially useful for a diverse population. Thus, different types of data, when comparable at a common local scale, can provide key integrative insights for researchers and policymakers.

The Health Disparities Research Industrial Complex

Research focused on health disparities-whether relating to one's race/ethnicity, gender expression, sexual orientation, citizenship status, income level, etc.-constitutes a large, generative, and highly profitable portion of scholarship in academic, clinical, and government settings. Health disparities research is expressed as a means of bringing greater attention to, and ultimately addressing via evidence-based implementation science, acts of devaluation and oppression that have continually contributed to these inequities. Philosophies underlying health disparities research's expansive and growing presence mirror the formal logic and ethos of the Military Industrial Complex and the Prison Industrial Complex. The "Health Disparities Research Industrial Complex," operationalized in this article, represents a novel mutation and extension of these complexes, primarily being enacted through these three mechanisms: 1) The construction and maintenance of beliefs, behaviors, and policies in healthcare, and society more broadly, that create and sustain disadvantages in minority health; 2) the creation and funding of research positions that inordinately provide non-minoritized people and those without relevant lived experiences the ability to study health disparities as "health equity tourists"; and 3) the production of health disparities research that, due to factors one and two, is incapable of fully addressing the disparities. In this piece, these and other core elements of the Health Disparities Research Industrial Complex, and the research bubble that it has produced, are discussed. Additionally, strategies for reducing the footprint and impact of the Health Disparities Research Industrial Complex and better facilitating opportunities for meaningful implementation in the field are presented.

Mapping the needs of healthcare workers caring for COVID-19 patients using the socio-ecological framework: a rapid scoping review

Undoubtedly, the mental health of healthcare workers (HCWs) was negatively affected because of caring for patients during the COVID-19 pandemic. However, literature is limited on mapping the challenges and needs of HCWs during COVID-19 pandemic. A widely used framework in public health for mapping evidence includes the socio-ecological models, suggesting behavior can be influenced by individual, interpersonal, organizational, and community factors. The aim of this rapid scoping review was to use the socio-ecological model to map and compile lessons learnt from the literature regarding primarily the challenges and needs and secondly available psychological interventions for HCWs caring for COVID-19 patients. PubMed, CINAHL and Scopus databases were searched, with 21 studies finally included examining challenges and needs of HCWs and 18 studies presenting psychological interventions. Organizational-level challenges and needs such as inadequate staff preparation and supplies of protective equipment, flexible work policies and paid rest periods were the most reported. Individual-level challenges and needs included COVID-19-related fears and reduced mental health, whereas interpersonal-related needs included support provision. Community-level challenges included societal stigma. Certain psychological interventions were found to be promising for HCWs, but these were utilized to address only individual-level challenges and needs. Given that well-being entails an interaction of factors, multi-level interventions addressing multiple socio-ecological levels (interpersonal, organizational, community) and that place HCWs in their social context should be administrated to increase and maintain intervention' effects long-term and possibly aid in better coping with future pandemics.

School-based health centers as an approach to address health disparities among rural youth: A study protocol for a multilevel research framework

School-Based Health Centers (SBHCs) are important healthcare providers for children in medically underserved communities. While most existing research on SBHCs has focused on urban environments, this study protocol proposes a mixed-methods, multi-level research framework to evaluate the role of SBHCs in addressing health disparities among underserved children and adolescents in rural communities. The study area includes four high-poverty rural counties in New York State served by Bassett Healthcare Network that permits a comparison of school districts with SBHCs to those without SBHCs, all served by providers within the Bassett Healthcare Network. We employ a human ecological framework that integrates the micro layer of individuals and families, the meso layer of school districts and community institutions, and the macro layer of local and state policies. Our research framework first identifies the socioecological health risk factors, and then proposes innovative strategies to investigate how SBHCs impact them. We propose evaluating the impact of SBHCs on the individual (micro) level of child healthcare utilization using patient records data. At the meso level, we propose to investigate how School-SBHCs partnership may facilitate greater cross-agency collaboration and broader structural and social determinist of health to address health disparities. At the macro level, we propose to assess the impact of SBHCs and cross-agency collaboration on outcomes associated with a culture of community health. This study protocol will enable researchers to assess how SBHCs reduce rural health disparities, and provide evidence for organizational and public policy change.

Identifying multilevel predictors of behavioral outcomes like park use: A comparison of conditional and marginal modeling approaches

This study compared marginal and conditional modeling approaches for identifying individual, park and neighborhood park use predictors. Data were derived from the ParkIndex study, which occurred in 128 block groups in Brooklyn (New York), Seattle (Washington), Raleigh (North Carolina), and Greenville (South Carolina). Survey respondents (n = 320) indicated parks within one half-mile of their block group used within the past month. Parks (n = 263) were audited using the Community Park Audit Tool. Measures were collected at the individual (park visitation, physical activity, sociodemographic characteristics), park (distance, quality, size), and block group (park count, population density, age structure, racial composition, walkability) levels. Generalized linear mixed models and generalized estimating equations were used. Ten-fold cross validation compared predictive performance of models. Conditional and marginal models identified common park use predictors: participant race, participant education, distance to parks, park quality, and population >65yrs. Additionally, the conditional mode identified park size as a park use predictor. The conditional model exhibited superior predictive value compared to the marginal model, and they exhibited similar generalizability. Future research should consider conditional and marginal approaches for analyzing health behavior data and employ cross-validation techniques to identify instances where marginal models display superior or comparable performance.

Early childhood (1-5 years) obesity prevention: A systematic review of family-based multicomponent behavioral interventions

INTRODUCTION

Globally 38.9 million children under age 5 have overweight or obesity, leading to type 2 diabetes, cardiovascular complications, depression, and poor educational outcomes. Obesity is difficult to reverse and lifestyle behaviors (healthy or unhealthy) can persist from 1.5 years of age. Targeting caregivers to help address modifiable behaviors may offer a viable solution.

OBJECTIVE

Evaluate the impact of multicomponent family interventions on weight-based outcomes in early childhood and explore related secondary behavior outcomes.

METHODS

Four databases were searched (1/2017-6/2022) for randomized controlled trials (RCTs) of obesity-prevention interventions for children (1-5 years). Eligible studies included an objectively measured weight-based outcome, family interventions targeting the caregiver or family, and interventions including at least two behavioral components of nutrition, physical activity, or sleep.

RESULTS

Eleven interventions were identified consisting of four delivery modes: self-guided (n = 3), face-to-face group instruction (n = 3), face-to-face home visits (n = 2), and multiple levels of influence (n = 3). The reviewed studies reported almost no significant effects on child weight-based outcomes. Only two studies (one was an underpowered pilot study) resulted in significant positive child weight-management outcomes. Seven of the interventions significantly improved children's dietary intake.

CONCLUSION

Except for one, the reviewed studies reported that family based interventions had no significant effects on child weight-based outcomes. Future studies of this type should include measurements of age and sex-based body mass index (BMI) and trajectories, and also examine other important benefits to the children and families.

Positive Outliers: A Mixed Methods Study of Resiliency to Childhood Obesity in High-Risk Neighborhoods

OBJECTIVE

Despite the high prevalence of obesity and the clustering of risk by neighborhood, few studies have examined characteristics which promote healthy child weight in neighborhoods with high obesity risk. We aimed to identify protective factors for children living in neighborhoods with high obesity risk.

METHODS

We identified neighborhoods with high obesity risk using geolocated electronic health record data with measured body mass index (BMI) from well-child visits (2012-2017). We then recruited caregivers with children aged 5 to 13 years who lived in census tracts with mean child BMI percentile ≥72 (February 2020-August 2021). We used sequential mixed methods (quantitative surveys, qualitative interviews) to compare individual, interpersonal, and perceived neighborhood factors among families with children at a healthy weight (positive outliers [PO]) versus families with ≥1 child with overweight or obesity (controls). Regression models and comparative qualitative analysis were used to identify protective characteristics.

RESULTS

Seventy-three caregivers participated in the quantitative phase (41% PO; 34% preferred Spanish) and twenty in the qualitative phase (50% PO; 50% preferred Spanish). The frequency of healthy caregiver behaviors was associated with being a PO (Family Health Behavior Scale Parent Score adjusted β 3.67; 95% CI 0.52-6.81 and qualitative data). Protective factors also included caregivers' ability to minimize the negative health influences of family members and adhere to family routines.

CONCLUSIONS

There were few differences between PO and control families. Support for caregiver healthy habits and adherence to healthy family routines emerged as opportunities for childhood obesity prevention in neighborhoods with high obesity risk.

Trying to Do What's Best: Maternal Perspectives About Toddler Sleep Health Among an Underresourced Sample of Mothers With Diverse Racial and Ethnic Identities

INTRODUCTION

This study describes mothers' knowledge, attitudes, beliefs, and practices about their toddler's sleep health among an underresourced sample of mothers with diverse racial and ethnic identities.

METHOD

This was a descriptive qualitative study with 16 mothers and their 12- to 36-month-old child. Mothers completed a semistructured, audio-recorded interview about their toddler's sleep health. Data were analyzed using inductive content analysis on the basis of established methods.

RESULTS

Mothers self-identified as 18.8% Black, 43.8% White, 12.5% multiracial, 25.0% other race, and 37.5% Hispanic. Of the mothers, 80.0% reported a past year household income of ≤ $40,000. A core construct, "Trying to do What's Best," emerged from the interview data, and this construct included three domains: Getting Good Sleep, Getting Thrown Off, and Rolling With It.

DISCUSSION

Findings support future strengths-based and multilevel sleep health-promoting interventions.

Building Trust and Partnership with Black Pediatric Patients and their Caregivers

Systemic racism embedded within the US health care system results in disproportionately worse health outcomes for Black pediatric patients and their caregivers. One meaningful mechanism through which these health disparities persist is through discriminatory treatment and anti-Black bias from clinicians. Strengthening care provided to Black pediatric patients and their caregivers requires that clinicians adopt culturally tailored communication strategies that promote health equity and counter racism. We conducted a scoping review of evidence-based communication practices in the medical literature that improve care for Black pediatric patients. We mapped the specific practices to the Presence 5 for Racial Justice framework and identified cross-cutting themes to describe practices across the five domains. There are three cross-cutting themes that underlie the recommended practices: 1) promote unbiased implementation of clinician communication strategies (eg, providing equitable recommendations for preventive care), 2) tailor care to Black pediatric patients (eg, explore the importance of the family unit), and 3) address racism experienced by Black pediatric patients and their caregivers (eg, acknowledge any previous negative experiences with the health care system). This review highlights communication practices that clinicians can adopt to build trusting relationships, empower Black families, and promote racial justice in clinical care. Future opportunities include expanding to system level change and validating these practices with patients and clinicians.

Using an Equity in Research Framework to Develop a Community-Engaged Intervention to Improve Preexposure Uptake Among Black Women Living in the United States South

ABSTRACT

In the U.S. South, over half of new HIV diagnoses occur among Black Americans with research lagging for women who face increased HIV rates and low PrEP uptake, among other health inequities. Community engaged research is a promising method for reversing these trends with established best practices for building infrastructure, implementing research, and translating evidence-based interventions into clinical and community settings. Using the 5Ws of Racial Equity in Research Framework (5Ws) as a racial equity lens, the following paper models a review of a salon-based intervention to improve PrEP awareness and uptake among Black women that was co-developed with beauty salons, stylists, and Black women through an established community advisory council. In this paper we demonstrate how the 5Ws framework was applied to review processes, practices, and outcomes from a community-engaged research approach. The benefits of and challenges to successful collaboration are discussed with insights for future research and community impact.

Multilevel approaches to address disparities in lung cancer screening: a study protocol

BACKGROUND

Low-dose computed tomography (lung cancer screening) can reduce lung cancer-specific mortality by 20-24%. Based on this evidence, the United States Preventive Services Task Force recommends annual lung cancer screening for asymptomatic high-risk individuals. Despite this recommendation, utilization is low (3-20%). Lung cancer screening may be particularly beneficial for African American patients because they are more likely to have advanced disease, lower survival, and lower screening rates compared to White individuals. Evidence points to multilevel approaches that simultaneously address multiple determinants to increase screening rates and decrease lung cancer burden in minoritized populations. This study will test the effects of provider- and patient-level strategies for promoting equitable lung cancer screening utilization.

METHODS

Guided by the Health Disparities Research Framework and the Practical, Robust Implementation and Sustainability Model, we will conduct a quasi-experimental study with four primary care clinics within a large health system (MedStar Health). Individuals eligible for lung cancer screening, defined as 50-80 years old, ≥ 20 pack-years, currently smoking, or quit < 15 years, no history of lung cancer, who have an appointment scheduled with their provider, and who are non-adherent to screening will be identified via the EHR, contacted, and enrolled (N = 184 for implementation clinics, N = 184 for comparison clinics; total N = 368). Provider participants will include those practicing at the partner clinics (N = 26). To increase provider-prompted discussions about lung screening, an electronic health record (EHR) clinician reminder will be sent to providers prior to scheduled visits with the screening-eligible participants. To increase patient-level knowledge and patient activation about screening, an inreach specialist will conduct a pre-visit phone-based educational session with participants. Patient participants will be assessed at baseline and 1-week post-visit to measure provider-patient discussion, screening intentions, and knowledge. Screening referrals and screening completion rates will be assessed via the EHR at 6 months. We will use mixed methods and multilevel assessments of patients and providers to evaluate the implementation outcomes (adoption, feasibility, acceptability, and fidelity).

DISCUSSION

The study will inform future work designed to measure the independent and overlapping contributions of the multilevel implementation strategies to advance equity in lung screening rates.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04675476. Registered December 19, 2020.

Equity in Cancer and Chronic Disease Prevention through a Multi-Pronged Network Intervention: Works-in-Progress

The increasing rates of cancer incidence are disproportionately borne by populations that are ineligible for screening and historically marginalized populations. To address this need, our community-centered model seeks to catalyze the widespread diffusion of evidence-based information and resources (e.g., community-based organizations, federally qualified health centers) to reduce the risks of cancer, chronic disease, and other conditions. In this study, we tested whether improving personal health literacy (i.e., confidence in seeking information) and enabling successful information transfer (i.e., intention to share the specific information learned through the program) among community residents could contribute to greater diffusion intention (i.e., number of network members with whom residents plan to share information and resources). The current study used post-intervention surveys, which were administered to Chicago residents who were 18 years or older and had participated in the program. Among the 1499 diverse Chicago residents, improved personal health literacy was associated with greater diffusion intention (ORs = 2.00-2.68, 95% CI [1.27-4.39], p ≤ 0.003). Successful information transfer was associated with greater diffusion, especially for cancer and other chronic disease risk reductions (ORs = 3.43-3.73, 95% CI [1.95-6.68], p < 0.001). The findings highlight the potential gains for health equity through sustainable, scalable, multi-sectoral partnerships.

Comprehensive and Integrated Services in Specialty Mental Health Treatment Facilities in the US: Differences by the Racial/Ethnic Composition of the Facility's Clientele, 2020

The integration of multiple ancillary services into mental health treatment settings may improve outcomes, but there are no national studies addressing whether comprehensive services are distributed equitably. We investigated whether the availability of a wide range of service types differs based on the facility's racial/ethnic composition. We used the 2020 National Mental Health Services Survey to identify twelve services offered in outpatient mental health treatment facilities (N = 1,074 facilities). We used logistic regression to model each of the twelve services, predicted by the percentage of a facility's clientele that was White, Black, and Hispanic, adjusted for covariates. Facilities with the highest proportions of Black and Hispanic clientele demonstrated the lowest predicted probabilities of offering comprehensive and integrated services. Our findings offer context around upstream factors that may, in part, drive treatment disparities. We orient our findings around frameworks of structural racism and inequities in mental healthcare.

Neighborhoods and Cardiovascular Health: A Scientific Statement From the American Heart Association

The neighborhoods where individuals reside shape environmental exposures, access to resources, and opportunities. The inequitable distribution of resources and opportunities across neighborhoods perpetuates and exacerbates cardiovascular health inequities. Thus, interventions that address the neighborhood environment could reduce the inequitable burden of cardiovascular disease in disenfranchised populations. The objective of this scientific statement is to provide a roadmap illustrating how current knowledge regarding the effects of neighborhoods on cardiovascular disease can be used to develop and implement effective interventions to improve cardiovascular health at the population, health system, community, and individual levels. PubMed/Medline, CINAHL, Cochrane Library reviews, and ClinicalTrials.gov were used to identify observational studies and interventions examining or targeting neighborhood conditions in relation to cardiovascular health. The scientific statement summarizes how neighborhoods have been incorporated into the actions of health care systems, interventions in community settings, and policies and interventions that involve modifying the neighborhood environment. This scientific statement presents promising findings that can be expanded and implemented more broadly and identifies methodological challenges in designing studies to evaluate important neighborhood-related policies and interventions. Last, this scientific statement offers recommendations for areas that merit further research to promote a deeper understanding of the contributions of neighborhoods to cardiovascular health and health inequities and to stimulate the development of more effective interventions.

Assessing the Impact of Multilevel Comprehensive Programming on SNAP-Ed Participant Behaviors

PURPOSE

To examine differences in dietary, physical activity, and food selection behaviors of Utah SNAP-Ed participants who had varied breadth of engagement with various components of multilevel programming.

METHOD

SNAP-Ed participants received a survey approximately 1 year after participating in nutrition classes. The survey measured diet, physical activity, and food selection behaviors and breadth of engagement with components of SNAP-Ed programming. Components of programming included nutrition education for adults and youth, nudge programs in food pantries and corner stores, farmers' market booths, social marketing campaign materials, and social media platforms. Kruskal-Wallis tests assessed differences in behaviors between varying breadths of program engagement.

RESULTS

Among the 124 respondents, certain dietary behaviors improved with increased breadth of program engagement including intake of vegetables, low-fat dairy, and lean protein. Food selection behaviors including using MyPlate and preparing healthy foods on a budget, also improved with increased engagement. Physical activity was not impacted by additional breadth of exposure.

CONCLUSIONS AND IMPLICATIONS

Findings suggest that multilevel comprehensive programming may enhance the impact of SNAP-Ed education for certain behaviors. Additional research is warranted on the impact of SNAP-Ed multilevel programming on targeted behaviors and health outcomes.

Gender-Based Violence Interventions in Low- and Middle-Income Countries: A Systematic Review of Interventions at Structural, Community, Interpersonal, Individual, and Multiple Levels

Gender-based violence (GBV) disproportionately impacts women and girls in low- and middle-income countries (LMIC). This review described the characteristics of structural, community, interpersonal, individual, and multilevel GBV interventions in LMIC and examined components of interventions implemented at different socio-ecological levels. We conducted a systematic search of peer-reviewed literature on GBV intervention evaluation studies in LMIC using the following databases: PubMed, CINAHL, Embase, Cochrane, Academic Search Ultimate, PsycInfo, and Web of Science. The search resulted in 3,256 articles, with 60 articles meeting the eligibility criteria. Thirty-eight articles reported positive GBV outcomes with significant differences between intervention and control arms on at least one GBV outcome. Very few interventions were found to be stand-alone GBV interventions. The key components of interventions effective in addressing victimization and perpetration across levels were education or psychoeducation, psychotherapy, skills development, gender transformative activities, community engagement, focus on men and/or partners, and health promotion activities such as HIV or STI prevention. Most interventions were multilevel, with positive outcomes for victimization. Fewer evidence-based interventions existed for addressing perpetration. There is need for additional research using rigorous methods to establish an evidence base for effective interventions in under-researched regions in LMIC as well as for interventions that address perpetration of GBV.

Advancing Health Equity in Lung Cancer Screening and the Role of Humanomics

Identifying and managing lung cancer, the leading cause of cancer-specific mortality, depend on multiple medical and sociodemographic factors. Humanomics is a model that acknowledges that negative societal stressors from systemic inequity affect individual health by altering pro-inflammatory gene expression. The same factors which may predispose individuals to lung cancer may also obstruct equitably prompt diagnosis and treatment. Increasing lung cancer screening access can lessen disparities in outcomes among disproportionately affected communities. Here, the authors describe several individual, provider, and health system-level obstacles to lung cancer screening and offer actionable solutions to increase access.

An action research partnership in an urban Texas county to explore barriers and opportunities for collaborative community health needs assessments

Background

The Affordable Care Act mandated triennial community health needs assessments (CHNAs) for greater nonprofit hospital accountability in responding to community health needs. Over 10 years later, hospital spending on community benefits remains largely unchanged. While greater collaboration in CHNA implementation can increase hospital investment in community-based initiatives, nonprofit hospitals in conservative states are subject to policy, political, and economic factors that inhibit public health partnerships and magnify existing disparities in health care access. This participatory action research study explores the decision-making environment of collaborative CHNA implementation within a group of nonprofit hospitals in a north Texas urban county.

Methods

In 2017 faculty from an urban anchor institution initiated an academic-community partnership with a coalition of nonprofit hospitals, public health departments, and academic institutions. An interdisciplinary research team engaged in multi-method document review and qualitative data collection to describe historical barriers for local CHNA processes and develop practical strategies for joint CHNA initiatives. Local CHNA documents were first reviewed through team-based content analysis and results applied to develop a qualitative study protocol. Key informants were recruited from county-based nonprofit hospitals, community-based nonprofit organizations, and public health systems. Seventeen senior- and mid-level professionals participated in semi-structured research interviews to describe their perspectives relating to CHNA-related planning and implementation decisions. Through iterative data collection and analysis, the research team explored CHNA-related knowledge, experiences, and processes. A constructivist lens was subsequently applied to examine historical barriers and future opportunities for local collaboration.

Results

Findings reveal CHNA implementation is a multi-stage cyclical process in organizational environments with accountability to a wide range of public and private stakeholders. This promotes varied levels of inclusivity and conservatism in data collection and community benefit implementation. Decisions to collaborate are hindered by competing priorities, including compliance with existing guidelines, administrative simplicity, alignment with health care service delivery, and efficient resource use. Efforts to promote greater CHNA collaboration may be facilitated through intentional alignment with organizational priorities and clearly communicated benefits of participation for leaders in both public and private nonprofit health systems.

Discussion

We consider implications for policymakers and health systems in restrictive political environments and advance a conceptual framework for greater CHNA collaboration.

Overdose education and naloxone distribution program design informed by people who use drugs and naloxone distributors

People who use drugs (PWUD) are the most directly affected by the overdose epidemic. However, they are not often targets of overdose education and naloxone distribution (OEND) programs. Instead, these programs target friends or family members of people prescribed opioids or general community members. This study aimed to understand the perspectives of PWUD and community naloxone distributors on OEND program design. We used a community-based participatory research model to elucidate participant perspectives on what OEND programs should look like in the context of each individual's specific risk environment. We conducted semi-structured in-depth interviews with PWUD and naloxone distributors (n = 30) in New Brunswick and Newark, New Jersey between February and November of 2022. We analyzed interviews using thematic analysis and identified the following themes: increasing naloxone knowledge, peer-based naloxone access, increasing PWUD-informed OEND program design, and desired broader OEND program scope. All Participants knew what naloxone was and emphasized that naloxone needed to be ubiquitous in the community. Participants prioritized peer-based distribution, integrating distribution into community organizations, and addressing psychosocial issues related to naloxone administration and drug use. In summary, PWUD and community naloxone distributors emphasized peer-led community naloxone distribution that prioritized novel ways for PWUD to access naloxone. OEND program design should prioritize PWUD's perspectives and direct community naloxone distribution.

Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease

ABSTRACT

Chronic diseases are among the top causes of global death, disability, and health care expenditure. Digital health interventions (e.g., patient support delivered via technologies such as smartphones, wearables, videoconferencing, social media, and virtual reality) may prevent and mitigate chronic disease by facilitating accessible, personalized care. Although these tools have promise to reach historically marginalized groups, who are disproportionately affected by chronic disease, evidence suggests that digital health interventions could unintentionally exacerbate health inequities. This commentary outlines opportunities to harness recent advancements in technology and research design to drive equitable digital health intervention development and implementation. We apply "calls to action" from the World Health Organization Commission on Social Determinants of Health conceptual framework to the development of new, and refinement of existing, digital health interventions that aim to prevent or treat chronic disease by targeting intermediary, social, and/or structural determinants of health. Three mirrored "calls to action" are thus proposed for digital health research: a) develop, implement, and evaluate multilevel, context-specific digital health interventions; b) engage in intersectoral partnerships to advance digital health equity and social equity more broadly; and c) include and empower historically marginalized groups to develop, implement, and access digital health interventions. Using these "action items," we review several technological and methodological innovations for designing, evaluating, and implementing digital health interventions that have greater potential to reduce health inequities. We also enumerate possible challenges to conducting this work, including leading interdisciplinary collaborations, diversifying the scientific workforce, building trustworthy community relationships, and evolving health care and digital infrastructures.

"Stronger with Breastmilk Only" Initiative in 5 African Countries: Case Study on the Implementation Process and Contribution to the Enabling Environment for Breastfeeding

Background

The practice of giving water before 6 mo of age is the biggest barrier to exclusive breastfeeding in West and Central Africa. To address this challenge, a regional initiative, "Stronger with Breastmilk Only" (SWBO), was rolled out at country level in several countries of the region.

Objective

We examined the implementation process of the SWBO initiative and the contribution of its advocacy component to a more supportive environment for breastfeeding policies and programs.

Methods

This study was based on 2 assessments at the national level carried out in 5 countries (Burkina Faso, Chad, Democratic Republic of the Congo, Senegal, and Sierra Leone) using qualitative methods. We combined 2 evaluative approaches (contribution analysis and outcome harvesting) and applied 2 theoretical lenses (Breastfeeding Gear Model and Consolidated Framework for Implementation Research) to examine the implementation process and the enabling environment for breastfeeding. Data sources included ∼300 documents related to the initiative and 43 key informant interviews collected between early 2021 and mid-2022.

Results

First, we show how a broad initiative composed of a set of combined interventions targeting multiple levels of determinants of breastfeeding was set up and implemented. All countries went through a similar pattern of activities for the implementation process. Second, we illustrate that the initiative was able to foster an enabling environment for breastfeeding. Progress was achieved notably on legislation and policies, coordination, funding, training and program delivery, and research and evaluation. Third, through a detailed contribution story of the case of Burkina Faso, we illustrate more precisely how the initiative, specifically its advocacy component, contributed to this progress.

Conclusion

This study shed light on how an initiative combining a set of interventions to address determinants of breastfeeding at multiple levels can be implemented regionally and contributes to fostering an enabling environment for breastfeeding at scale.

Hoosier Sport: a research protocol for a multilevel physical activity-based intervention in rural Indiana

Introduction

Currently, only 1 in 4 children in the U.S. engage in the recommended amount of physical activity (PA) and disparities in PA participation increase as income inequities increase. Moreover, leading health organizations have identified rural health as a critical area of need for programming, research, and policy. Thus, there is a critical need for the development and testing of evidence-based PA interventions that have the potential to be scalable to improve health disparities in children from under-resourced rural backgrounds. As such, the present study utilizes human-centered design, a technique that puts community stakeholders at the center of the intervention development process, to increase our specific understanding about how the PA-based needs of children from rural communities manifest themselves in context, at the level of detail needed to make intervention design decisions. The present study connects the first two stages of the NIH Stage Model for Behavioral Intervention Development with a promising conceptual foundation and potentially sustainable college student mentor implementation strategy.

Methods

We will conduct a three-phase study utilizing human-centered community-based participatory research (CBPR) in three aims: (Aim 1) conduct a CBPR needs assessment with middle school students, parents, and teachers/administrators to identify perceptions, attributes, barriers, and facilitators of PA that are responsive to the community context and preferences; (Aim 2) co-design with children and adults to develop a prototype multi-level PA intervention protocol called Hoosier Sport; (Aim 3) assess Hoosier Sport's trial- and intervention-related feasibility indicators. The conceptual foundation of this study is built on three complementary theoretical elements: (1) Basic Psychological Needs mini-theory within Self-Determination Theory; (2) the Biopsychosocial Model; and (3) the multilevel Research Framework from the National Institute on Minority Health and Health Disparities.

Discussion

Our CBPR protocol takes a human-centered approach to integrating the first two stages of the NIH Stage Model with a potentially sustainable college student mentor implementation strategy. This multidisciplinary approach can be used by researchers pursuing multilevel PA-based intervention development for children.

Health insurance and neighborhood poverty as mediators of racial disparities in advanced disease stage at diagnosis and nonreceipt of surgery for women with breast cancer

BACKGROUND

In our recent study, advanced disease stage and nonreceipt of surgery were the most important mediators of the racial disparity in breast cancer survival. The purpose of this study was to quantify the racial disparity in these two intermediate outcomes and investigate mediation by the more proximal mediators of insurance status and neighborhood poverty.

METHODS

This was a cross-sectional study of non-Hispanic Black and non-Hispanic White women diagnosed with first primary invasive breast cancer in Florida between 2004 and 2015. Log-binomial regression was used to obtain prevalence ratios (PR) with 95% confidence intervals (CIs). Multiple mediation analysis was used to assess the role of having Medicaid/being uninsured and living in high-poverty neighborhoods on the race effect.

RESULTS

There were 101,872 women in the study (87.0% White, 13.0% Black). Black women were 55% more likely to be diagnosed with advanced disease stage at diagnosis (PR, 1.55; 95% CI, 1.50-1.60) and nearly twofold more likely to not receive surgery (PR, 1.97; 95% CI, 1.90-2.04). Insurance status and neighborhood poverty explained 17.6% and 5.3% of the racial disparity in advanced disease stage at diagnosis, respectively; 64.3% remained unexplained. For nonreceipt of surgery, insurance status explained 6.8% while neighborhood poverty explained 3.2%; 52.1% was unexplained.

CONCLUSIONS

Insurance status and neighborhood poverty were significant mediators of the racial disparity in advanced disease stage at diagnosis with a smaller impact on nonreceipt of surgery. However, interventions designed to improve breast cancer screening and receipt of high-quality cancer treatment must address additional barriers for Black women with breast cancer.

Community-Led, Cross-Sector Partnership of Housing and Health Care to Promote Aging in Place (Unite Health Project): Protocol for a Prospective Observational Study

BACKGROUND

For many older Americans, aging in place is their preferred living arrangement. Minoritized and socioeconomically disadvantaged older adults are up to 3 times more likely to experience disability than other groups, which increases their likelihood of being unable to age in place. Bold ideas to facilitate aging in place, particularly among vulnerable populations, are needed. One such idea is the Unite care model, a community-initiated, academic-supported, cross-sector initiative that combines 2 sectors: housing and health care. The Unite care model colocates a federally qualified health center clinic on an older adult affordable housing campus in Flint, Michigan.

OBJECTIVE

There are two aims to this study. Aim 1 is to evaluate the implementation of the Unite care model in terms of acceptability, adoption, and penetration. Aim 2 is to determine which older adults use the care model and whether the care model promotes aging in place through risk factor reduction and improvement in the physical and social environment.

METHODS

We will assess the care model using a concurrent, exploratory mixed methods design. For aim 1, acceptability will be assessed through semistructured interviews with key stakeholder groups; adoption and penetration will be assessed using housing and health care records. For aim 2, residents residing in the Unite clinic building will participate in structured outcome assessments at 6 and 12 months. Risk factor reduction will be measured by change in systolic blood pressure from baseline to 12 months and change in the physical and social environment (item counts) will also be assessed from baseline to 12 months.

RESULTS

Data collection for aim 1 began in July 2021 and is anticipated to end in April 2023. Data collection for aim 2 began in June 2021 and concluded in November 2022. Data analysis for aim 1 is anticipated to begin in the summer of 2023 and analysis for aim 2 will begin in the spring of 2023.

CONCLUSIONS

If successful, the Unite care model could serve as a new care model to promote aging in place among older adults living in poverty and older Black Americans. The results of this proposal will inform whether larger scale testing of this new model of care is warranted.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/47855.

A systematic review of interventions to promote HPV vaccination globally

BACKGROUND

Despite the human papillomavirus (HPV) vaccine being a safe, effective cancer prevention method, its uptake is suboptimal in the United States (U.S.). Previous research has found a variety of intervention strategies (environmental and behavioral) to increase its uptake. The purpose of the study is to systematically review the literature on interventions that promote HPV vaccination from 2015 to 2020.

METHODS

We updated a systematic review of interventions to promote HPV vaccine uptake globally. We ran keyword searches in six bibliographic databases. Target audience, design, level of intervention, components and outcomes were abstracted from the full-text articles in Excel databases.

RESULTS

Of the 79 articles, most were conducted in the U.S. (72.2%) and in clinical (40.5%) or school settings (32.9%), and were directed at a single level (76.3%) of the socio-ecological model. Related to the intervention type, most were informational (n = 25, 31.6%) or patient-targeted decision support (n = 23, 29.1%). About 24% were multi-level interventions, with 16 (88.9%) combining two levels. Twenty-seven (33.8%) reported using theory in intervention development. Of those reporting HPV vaccine outcomes, post-intervention vaccine initiation ranged from 5% to 99.2%, while series completion ranged from 6.8% to 93.0%. Facilitators to implementation were the use of patient navigators and user-friendly resources, while barriers included costs, time to implement and difficulties of integrating interventions into the organizational workflow.

CONCLUSIONS

There is a strong need to expand the implementation of HPV-vaccine promotion interventions beyond education alone and at a single level of intervention. Development and evaluation of effective strategies and multi-level interventions may increase the uptake of the HPV vaccine among adolescents and young adults.

Association of Prescription Co-payment With Adherence to Glucagon-Like Peptide-1 Receptor Agonist and Sodium-Glucose Cotransporter-2 Inhibitor Therapies in Patients With Heart Failure and Diabetes

Importance

Type 2 diabetes (T2D) and heart failure (HF) prevalence are rising in the US. Although glucagon-like peptide-1 receptor agonists (GLP1-RA) and sodium-glucose cotransporter 2 inhibitors (SGLT2i) improve outcomes for these conditions, high out-of-pocket costs may be associated with reduced medication adherence.

Objective

To compare 1-year adherence to GLP1-RA and SGLT2i therapies by prescription co-payment level in individuals with T2D and/or HF.

Design, Setting, and Participants

This retrospective cohort study used deidentified data from Optum Insight's Clinformatics Data Mart Database of enrollees with commercial and Medicare health insurance plans. Individuals aged 18 years or older with T2D and/or HF who had a prescription claim for a GLP1-RA or SLGT2i from January 1, 2014, to September 30, 2020, were included.

Exposures

Prescription co-payment, categorized as low (<$10), medium ($10 to<$50), and high (≥$50).

Main Outcomes and Measures

The primary outcome was medication adherence, defined as a proportion of days covered (PDC) of 80% or greater at 1 year. Logistic regression models were used to examine the association between co-payment and adherence, adjusting for patient demographics, medical comorbidities, and socioeconomic factors.

Results

A total of 94 610 individuals (mean [SD] age, 61.8 [11.4] years; 51 226 [54.1%] male) were prescribed GLP1-RA or SGLT2i therapy. Overall, 39 149 individuals had a claim for a GLP1-RA, of whom 25 557 (65.3%) had a PDC of 80% or greater at 1 year. In fully adjusted models, individuals with a medium (adjusted odds ratio [AOR], 0.62; 95% CI, 0.58-0.67) or high (AOR, 0.47; 95% CI, 0.44-0.51) co-payment were less likely to have a PDC of 80% or greater with a GLP1-RA compared with those with a low co-payment. Overall, 51 072 individuals had a claim for an SGLT2i, of whom 37 339 (73.1%) had a PDC of 80% or greater at 1 year. Individuals with a medium (AOR, 0.67; 95% CI, 0.63-0.72) or high (AOR, 0.68; 95% CI, 0.63-0.72) co-payment were less likely to have a PDC of 80% or greater with an SGLT2i compared with those with a low co-payment.

Conclusions and Relevance

In this cohort study of individuals with T2D and/or HF, 1-year adherence to GLP1-RA or SGLT2i therapies was highest among individuals with a low co-payment. Improving adherence to guideline-based therapies may require interventions that reduce out-of-pocket prescription costs.

Medical and public health professionals' perceived facilitators and barriers of human papillomavirus (HPV) vaccination among African American adolescents in Shelby County, Tennessee

Human papillomavirus (HPV) infects nearly 85% of sexually active Americans during their lifetime, causing most cervical and five other cancers. Routine HPV vaccination is recommended for adolescents to prevent HPV-attributable cancers, but HPV vaccination coverage remains low, especially in Tennessee. In 2021, 54.6% of the population in Shelby County, Tennessee was Black or African American, reporting higher rates of new cervical cancer cases than other counties in Tennessee. While medical and public health professionals (HPs) play a critical role in promoting vaccination coverage, little is known about the factors HPs perceive to influence HPV vaccination for this population. This study sought to explore HPs' perceived facilitators and barriers of HPV vaccination among African American adolescents. Qualitative individual interviews with 26 HPs in Shelby County were conducted between October 2019 and February 2020. Interpretive content analysis of the interview data guided by the socio-ecological model revealed several important themes regarding the facilitators and barriers across the individual, interpersonal, and community levels. At the individual level, parental vaccine hesitancy emerged as a leading barrier to HPV vaccination, while appropriate education facilitated the vaccination. At the interpersonal level, a lack of strong provider recommendations impeded HPV vaccination, whereas improved communication skills with patients facilitated the vaccination. Finally, the community-level barriers included a lack of education and social/religious norms; the community-level facilitators included community outreach efforts. HPs should consider development of comprehensive community-based approaches that leverage the facilitators and barriers at multiple levels to increase HPV vaccination among African American adolescents in this region.

Linking social and built environmental factors to leisure-time physical activity in rural cancer survivors

BACKGROUND

This study explored associations between social and built environmental factors and leisure-time physical activity (LTPA) in rural cancer survivors (RCS) and whether these associations differed by exercise stage of change (SOC).

METHOD

RCS (n = 219) completed questionnaires assessing LTPA, SOC, and social (social status, connectedness, support) and environmental (home environment, neighborhood environment) factors. Linear regression models examined associations between social and built environmental factors and LTPA and tested for moderation by SOC.

RESULTS

Half (50.7%) of RCS were physically active, and 49.3% were not active. Social factors positively associated with LTPA included subjective social status in the community (B = 89.0, P = .014) and in the United States (B = 181.3, P < .001), social connectedness (B = 122.3, P = .024), and social support for physical activity from family (B = 41.9, P < .001) and friends (B = 44.3, P < .001). Environmental factors positively associated with LTPA included the home environment (B = 111.2, P < .001), perceived environmental support for PA (B = 355.4, P = .004), and neighborhood attributes, including bicycling infrastructure (B = 191.3, P = .003), proximity to recreation facilities (B = 140.1, P = .021), traffic safety (B = 184.5, P = .025), and aesthetics (B = 342.6, P < .001). SOC statistically significantly moderated the association between social status in the United States and LTPA (B = 160.3, P = .031).

CONCLUSIONS

Social and built environmental factors were consistently linked with LTPA and provide context for multilevel interventions promoting LTPA in RCS.

Racism: Eroding the health of Black communities

ABSTRACT

Even in the context of major advances in medicine, racial minorities continue to suffer worse medical outcomes. Although race is defined as a social, nonscientific construct, researchers have continued to use it as proxy to explain genetic and evolutionary differences among patients. Poorer health outcomes among Black Americans are known to be related to the psychosocial and physiological stress of racism. Black communities experience premature health deterioration because of the cumulative effects of social, economic, and political oppression and marginalization. Additionally, recent assertions that racism is best seen as a chronic disease has added value to understanding the effect of racism on the health of Black people. Using evidence-based information to assess the health of Black patients is a key step to assist clinicians in promptly addressing this chronic threat to the health of Black patients.

Link for Equity, a community-engaged waitlist randomized controlled trial of a culturally responsive trauma-informed care program for BIPOC students: Design features and characteristics of baseline sample

BACKGROUND

Link for Equity is a multi-tiered, school-based program of trauma-informed care and cultural humility designed to reduce the impact of Adverse Child Experiences among Black Indigenous and other children of color (BIPOC). This report describes the program, its trial design, and the study participants' baseline characteristics.

METHODS

We designed a nested waitlist-controlled trial to evaluate Link for Equity's effectiveness in reducing school violence among BIPOC students. Three pairs of school districts, matched on suspension rates and enrollment of Black/African American, Hispanic/Latinx, and American Indian/Alaska Native children, were randomized into either an intervention or delayed intervention (waitlist control) group. A community-engaged approach guided the development of protocols. Within intervention sites, BIPOC students who screened positive for ACEs or posttraumatic stress were also randomized into an immediate and waitlist control group to receive additional one-on-one support from trained school staff.

RESULTS

The trial was implemented from 2019 to 2021, which overlapped with the pandemic and civil unrest in Minnesota. At baseline, 444 staff and 188 students enrolled in the study. Over a quarter of American Indian/Alaska Native students, 18% of multiple race, 12% of Black/African American, 14% of Hispanic/Latinx students reported 4+ ACEs. Between 44 and 53% of all the BIPOC students in the study were symptomatic for PTSD. Of the enrolled students, 78.7% qualified for one-on-one Link support.

CONCLUSION

We implemented a multilevel waitlist-controlled trial of Link for Equity using community-engaged methods. Despite school closures during the pandemic, the study persisted with its methods now being employed in an expanded cohort of middle schools.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT04026477, NCT04026490).

Linking Urban Planning, Community Environment, and Physical Activity: A Socio-Ecological Approach

Lack of physical activity is a growing concern among public health advocates and urban planners. Our socio-ecological model incorporates urban planning and World Health Organization actions on physical activity to identify key factors related to leisure-time physical activity at the community level. Our 2019 nationwide US survey of 1312 communities enables examination of the influence of individual, community, and policy levels on physical activity. Individual factors-poverty, aging, minority population, and longer commuting time-result in lower physical activity. Community-level factors have both positive and negative effects. Physical activity is lower in rural and suburban communities, but higher in communities with more transportation services, recreation and social activities, and safety. Communities with mixed-use neighborhoods and complete streets also show higher levels of physical activity. At the policy level, zoning and cross-agency collaboration have an indirect effect on physical activity by increasing these community-level factors. This suggests an alternative approach to promoting physical activity. Local governments can promote transportation, recreation and safety, especially in rural and minority communities lacking active-friendly built environments and facing challenges from aging population, poverty, and longer commuting time. This socio-ecological approach can assess multilevel factors related to physical activity in other countries.

Impacts of Individual Patient Language and Neighborhood Ethnic Enclave on COVID-19 Test Positivity Among Hispanic/Latinx Patients in San Francisco

BACKGROUND

Given the known disparities in COVID-19 within the Hispanic/Latinx community, we sought to examine the interaction between individual-level and neighborhood-level social determinants of health using linked electronic health record data.

METHODS

We examined electronic health record data linked to neighborhood data among Hispanic/Latinx patients tested for COVID-19 between March 1, 2020, and February 28, 2021, from 2 large health care systems in San Francisco. Hispanic/Latinx ethnic enclave is measured using an index of census-tract level indicators of ethnicity, nativity, and language. Multilevel logistic regression models examined associations between ethnic enclave and COVID-19 positivity (COVID-19+), adjusting for patient-level sociodemographic and clinical characteristics and health system. Cross-level interactions were used to test whether associations between ethnic enclave and COVID-19+ differed by patient language preference.

RESULTS

Among 26,871 patients, mean age was 37 years, 56% had Spanish-language preference, and 21% were COVID-19+. In unadjusted models, patients living in the highest versus lowest Hispanic/Latinx enclave had 3.2 higher odds of COVID-19+ (95% CI, 2.45-4.24). Adjusted, the relationship between ethnic enclave and COVID-19+ was attenuated, but not eliminated (odds ratio: 1.4; 95% CI, 1.13-1.17). Our results demonstrated a significant cross-level interaction, such that the influence of ethnic enclave was modified by patient language preference. For individuals with Spanish-language preference, risk of COVID-19+ was high regardless of neighborhood context, whereas for those with English preference, neighborhood ethnic enclave more than doubled the odds of infection.

CONCLUSIONS

Findings suggest that a multilevel and intersectional approach to the study of COVID-19 inequities may illuminate dimensions of health inequity that affect marginalized communities and offer insights for targeted clinical and community-based interventions.

Advancing multi-level health communication research: A Delphi study on barriers and opportunities

Adopting a multi-level perspective that considers the many interrelated contexts influencing health could make health communication interventions more effective and equitable. However, despite increasing interest in the use of multi-level approaches, multi-level health communication (MLHC) interventions are infrequently utilized. We therefore sought to conduct a modified Delphi study to better understand how researchers conceptualize MLHC interventions and identify opportunities for advancing MLHC work. Communication and health behavior experts were invited to complete two rounds of surveys about the characteristics, benefits, pitfalls, best practices, barriers, and facilitators of MLHC interventions; the role of technology in facilitating MLHC interventions; and ways to advance MLHC intervention research (46 experts completed the first survey, 44 completed both surveys). Survey data were analyzed using a mixed-methods approach. Panelists reached consensus on two components of the proposed definition of MLHC interventions and also put forward a set of best practices for these interventions. Panelists felt that most health intervention research could benefit from a multi-level approach, and generally agreed that MLHC approaches offered certain advantages over single-level approaches. However, they also expressed concern related to the time, cost, and complexity of MLHC interventions. Although panelists felt that technology could potentially support MLHC interventions, they also recognized the potential for technology to exacerbate disparities. Finally, panelists prioritized a set of methodological advances and practical supports that would be needed to facilitate future MLHC intervention research. The results of this study point to several future directions for the field, including advancing how interactions between levels are assessed, increasing the empirical evidence base demonstrating the advantages of MLHC interventions, and identifying best practices for the use of technology. The findings also suggest that researchers may need additional support to overcome the perceived practical challenges of conducting MLHC interventions.

Linking churches and parks to promote physical activity among Latinos: Rationale and design of the Parishes & Parks cluster randomized trial

BACKGROUND

Regular physical activity (PA) contributes to positive health outcomes, but a minority of US adults meet minimum guidelines for moderate-to-vigorous PA (MVPA) and muscle-strengthening, and Latinos are less likely than whites to meet these guidelines. Public parks can be leveraged for community PA but tend to be underutilized, while churches have reach within Latino communities and can influence parishioners' health.

METHODS

We are conducting a cluster randomized controlled trial to examine the impact of a multilevel, faith-based intervention linking Catholic parishes (n = 14) to their local parks on adult Latino parishioners' (n = 1204) MVPA and health-related outcomes. Our approach targets multiple levels (individual, group, church, and neighborhood-park) to promote health-enhancing PA through park-based exercise classes led by kinesiology students, peer leader-led walking groups, park-based church events, church-based PA support activities, and environmental advocacy. Data are collected at churches by trained bilingual/bicultural research assistants using accelerometry, surveys, and biometric procedures. We will implement a set of hierarchical repeated-measure linear models to examine effects on the primary outcome (MVPA) and secondary outcomes (self-reported PA, heart rate/fitness, waist circumference, waist-to-hip ratio, body fat, mental health, and perceived social support for PA). We will also conduct a process evaluation.

CONCLUSION

To our knowledge, this will be the first study examining efficacy of an integrated church and park-based intervention on Latino adults' PA and represents a scalable model of PA programming for low-income communities. The intervention makes use of innovative partnerships within and across sectors - faith-based, local parks/city government, and local universities - further facilitating sustainability.

CLINICALTRIALS

govID: NCT03858868.