Addressing Financial Barriers to Health Care Among People Who are Low-Income and Insured in New York City, 2014-2017.

While health care-associated financial burdens among uninsured individuals are well described, few studies have systematically characterized the array of financial and logistical complications faced by insured individuals with low household incomes. In this mixed methods paper, we conducted 6 focus groups with a total of 55 residents and analyzed programmatic administrative records to characterize the specific financial and logistic barriers faced by residents living in public housing in East and Central Harlem, New York City (NYC). Participants included individuals who enrolled in a municipal community health worker (CHW) program designed to close equity gaps in health and social outcomes. Dedicated health advocates (HAs) were explicitly paired with CHWs to provide health insurance and health care navigational assistance. We describe the needs of 150 residents with reported financial barriers to care, as well as the navigational and advocacy strategies taken by HAs to address them. Finally, we outline state-level policy recommendations to help ameliorate the problems experienced by participants. The model of paired CHW-HAs may be helpful in addressing financial barriers for insured populations with low household income and reducing health disparities in other communities.

Comparing competing geospatial measures to capture the relationship between the neighborhood food environment and diet.

PURPOSE: To examine how the choice of neighborhood food environment definition impacts the association with diet. METHODS: Using food frequency questionnaire data from the Reasons for Geographic and Racial Differences in Stroke study at baseline (2003-2007), we calculated participants' dietary inflammation score (DIS) (n = 20,331); higher scores indicate greater pro-inflammatory exposure. We characterized availability of supermarkets and fast food restaurants using several geospatial measures, including density (i.e., counts/km2) and relative measures (i.e., percentage of all food stores or restaurants); and various buffer distances, including administrative units (census tract) and empirically derived buffers ("classic" network, "sausage" network) tailored to community type (higher density urban, lower density urban, suburban/small town, rural). Using generalized estimating equations, we estimated the association between each geospatial measure and DIS, controlling for individual- and neighborhood-level sociodemographics. RESULTS: The choice of buffer-based measure did not change the direction or magnitude of associations with DIS. Effect estimates derived from administrative units were smaller than those derived from tailored empirically derived buffer measures. Substantively, a 10% increase in the percentage of fast food restaurants using a "classic" network buffer was associated with a 6.3 (SE = 1.17) point higher DIS (P< .001). The relationship between the percentage of supermarkets and DIS, however, was null. We observed high correlation coefficients between buffer-based density measures of supermarkets and fast food restaurants (r = 0.73-0.83), which made it difficult to estimate independent associations by food outlet type. CONCLUSIONS: Researchers should tailor buffer-based measures to community type in future studies, and carefully consider the theoretical and statistical implications for choosing relative (vs. absolute) measures.

US veterans administration diabetes risk (VADR) national cohort: cohort profile.

PURPOSE: The veterans administration diabetes risk (VADR) cohort facilitates studies on temporal and geographic patterns of pre-diabetes and diabetes, as well as targeted studies of their predictors. The cohort provides an infrastructure for examination of novel individual and community-level risk factors for diabetes and their consequences among veterans. This cohort also establishes a baseline against which to assess the impact of national or regional strategies to prevent diabetes in veterans. PARTICIPANTS: The VADR cohort includes all 6 082 018 veterans in the USA enrolled in the veteran administration (VA) for primary care who were diabetes-free as of 1 January 2008 and who had at least two diabetes-free visits to a VA primary care service at least 30 days apart within any 5-year period since 1 January 2003, or veterans subsequently enrolled and were diabetes-free at cohort entry through 31 December 2016. Cohort subjects were followed from the date of cohort entry until censure defined as date of incident diabetes, loss to follow-up of 2 years, death or until 31 December 2018. FINDINGS TO DATE: The incidence rate of type 2 diabetes in this cohort of over 6 million veterans followed for a median of 5.5 years (over 35 million person-years (PY)) was 26 per 1000 PY. During the study period, 8.5% of the cohort were lost to follow-up and 17.7% died. Many demographic, comorbidity and other clinical variables were more prevalent among patients with incident diabetes. FUTURE PLANS: This cohort will be used to study community-level risk factors for diabetes, such as attributes of the food environment and neighbourhood socioeconomic status via geospatial linkage to residence address information.

Research-grade data in the real world: challenges and opportunities in data quality from a pragmatic trial in community-based practices.

Randomized controlled trials face cost, logistic, and generalizability limitations, including difficulty engaging racial/ethnic minorities. Real-world data (RWD) from pragmatic trials, including electronic health record (EHR) data, may produce intervention evaluation findings generalizable to diverse populations. This case study of Project IMPACT describes unique barriers and facilitators of optimizing RWD to improve health outcomes and advance health equity in small immigrant-serving community-based practices. Project IMPACT tested the effect of an EHR-based health information technology intervention on hypertension control among small urban practices serving South Asian patients. Challenges in acquiring accurate RWD included EHR field availability and registry capabilities, cross-sector communication, and financial, personnel, and space resources. Although using RWD from community-based practices can inform health equity initiatives, it requires multidisciplinary collaborations, clinic support, procedures for data input (including social determinants), and standardized field logic/rules across EHR platforms.

Feasibility and Outcomes of an Electronic Health Record Intervention to Improve Hypertension Management in Immigrant-serving Primary Care Practices.

BACKGROUND: South Asians experience a disproportionate burden of high blood pressure (BP) in the United States, arguably the most preventable risk factor for cardiovascular disease. OBJECTIVE: We report 12-month results of an electronic health record (EHR)-based intervention, as a component of a larger project, "Implementing Million Hearts for Provider and Community Transformation." The EHR intervention included launching hypertension patient registries and implementing culturally tailored alerts and order sets to improve hypertension control among patients treated in 14 New York City practices located in predominantly South Asian immigrant neighborhoods. DESIGN: Using a modified stepped-wedge quasi-experimental study design, practice-level EHR data were extracted, and individual-level data were obtained on a subset of patients insured by a Medicaid insurer via their data warehouse. The primary aggregate outcome was change in proportion of hypertensive patients with controlled BP; individual-level outcomes included average systolic BP (SBP) and diastolic BP (DBP) at last clinic visit. Qualitative interviews were conducted to assess intervention feasibility. MEASURES: Hypertension was defined as having at least 1 hypertension ICD-9/10 code. Well-controlled hypertension was defined as SBP<140 and DBP<90 mm Hg. RESULTS: Postintervention, we observed a significant improvement in hypertension control at the practice level, adjusting for age and sex patient composition (adjusted relative risk, 1.09; 95% confidence interval, 1.04-1.14). Among the subset of Medicaid patients, we observed a significant reduction in average SBP and DBP adjusting for time, age, and sex, by 1.71 and 1.13 mm Hg, respectively (P<0.05). Providers reported feeling supported and satisfied with EHR components. CONCLUSIONS: EHR initiatives in practices serving immigrants and minorities may enhance practice capabilities to improve hypertension control.

Effect measure modification conceptualized using selection diagrams as mediation by mechanisms of varying population-level relevance.

OBJECTIVES: We are often confronted in public health by associations that vary by population or subpopulation. Much effort has focused on the statistical and biological interpretation of such effect measure modification (EMM) because of the importance to public health. However, EMM remains difficult to conceptualize because it apparently violates everyday understanding of causes as usually acting consistently, making it difficult to predict when EMM may occur and raises questions about how to determine the external validity of interventions without extensive retesting by population or subpopulation. STUDY DESIGN AND SETTING: Methods exposition. RESULTS: We propose that EMM can be thought of as mediation of an intervention (or exposure) on outcome by mechanism(s) whose relevance differs between population groups, which can be illustrated in causal diagrams, that is, directed acyclic graphs and selection diagrams, meaning external validity can be formally considered as mediation according to "selection variables." EMM can then be represented graphically and its consequences predicted. CONCLUSION: This new conceptualization of EMM transforms EMM from a concept that violates everyday understanding of causes into an insight generating means of thinking about interventions (or exposures) in terms of their mediating mechanism(s) and corresponding population- or subpopulation-specific attributes to help target interventions effectively.

Protocol for project IMPACT (improving millions hearts for provider and community transformation): a quasi-experimental evaluation of an integrated electronic health record and community health worker intervention study to improve hypertension management among South Asian patients.

BACKGROUND: The Million Hearts® initiative aims to prevent heart disease and stroke in the United States by mobilizing public and private sectors around a core set of objectives, with particular attention on improving blood pressure control. South Asians in particular have disproportionately high rates of hypertension and face numerous cultural, linguistic, and social barriers to accessing healthcare. Interventions utilizing Health information technology (HIT) and community health worker (CHW)-led patient coaching have each been demonstrated to be effective at advancing Million Hearts® goals, yet few studies have investigated the potential impact of integrating these strategies into a clinical-community linkage initiative. Building upon this initiative, we present the protocol and preliminary results of a research study, Project IMPACT, designed to fill this gap in knowledge. METHODS: Project IMPACT is a stepped wedge quasi-experimental study designed to test the feasibility, adoption, and impact of integrating CHW-led health coaching with electronic health record (EHR)-based interventions to improve hypertension control among South Asian patients in New York City primary care practices. EHR intervention components include the training and implementation of hypertension-specific registry reports, alerts, and order sets. Fidelity to the EHR intervention is assessed by collecting the type, frequency, and utilization of intervention components for each practice. CHW intervention components consist of health coaching sessions on hypertension and related risk factors for uncontrolled hypertensive patients. The outcome, hypertension control (<140 mmHg systolic blood pressure (BP) and <90 mmHg diastolic BP), is collected at the aggregate- and individual-level for all 16 clinical practices enrolled. DISCUSSION: Project IMPACT builds upon the evidence base of the effectiveness of CHW and Million Hearts® initiatives and proposes a unique integration of provider-based EHR and community-based CHW interventions. The project informs the effectiveness of these interventions in team-based care approaches, thereby, helping to develop relevant sustainability strategies for improving hypertension control among targeted racial/ethnic minority populations at small primary care practices. TRIAL REGISTRATION: This study protocol has been approved and is made available on Clinicaltrials.gov by NCT03159533 as of May 17, 2017.

A Place-Based Community Health Worker Program: Feasibility and Early Outcomes, New York City, 2015.

INTRODUCTION: This study examined feasibility of a place-based community health worker (CHW) and health advocate (HA) initiative in five public housing developments selected for high chronic disease burden and described early outcomes. METHODS: This intervention was informed by a mixed-method needs assessment performed December 2014-January 2015 (representative telephone survey, n=1,663; six focus groups, n=55). Evaluation design was a non-randomized, controlled quasi-experiment. Intake and 3-month follow-up data were collected February-December 2015 (follow-up response rate, 93%) on 224 intervention and 176 comparison participants, and analyzed in 2016. All participants self-reported diagnoses of hypertension, diabetes, or asthma. The intervention consisted of chronic disease self-management and goal setting through six individual CHW-led health coaching sessions, instrumental support, and facilitated access to insurance/clinical care navigation from community-based HAs. Feasibility measures included CHW service satisfaction and successful goal setting. Preliminary outcomes included clinical measures (blood pressure, BMI); disease management behaviors and self-efficacy; and preventive behaviors (physical activity). RESULTS: At the 3-month follow-up, nearly all intervention participants reported high satisfaction with their CHW (90%) and HA (76%). Intervention participants showed significant improvements in self-reported physical activity (p=0.005) and, among hypertensive participants, self-reported routine blood pressure self-monitoring (p=0.013) compared with comparison participants. No improvements were observed in self-efficacy or clinical measures at the 3-month follow-up. CONCLUSIONS: Housing-based initiatives involving CHW and HA teams are acceptable to public housing residents and can be effectively implemented to achieve rapid improvements in physical activity and chronic disease self-management. At 3-month assessment, additional time and efforts are required to improve clinical outcomes.

Predictors of Human Papillomavirus Vaccine Completion Among Female and Male Vaccine Initiators in Family Planning Centers.

OBJECTIVES: We estimated human papillomavirus (HPV) vaccine series completion and examined predictors of completion among adolescents and young adults in a large family planning network. METHODS: Our retrospective cohort study of vaccine completion within 12 months and time to completion used electronic health record data from 119 Planned Parenthood health centers in 11 US states for 9648 patients who initiated HPV vaccination between January 2011 and January 2013. RESULTS: Among vaccine initiators, 29% completed the series within 12 months. Patients who were male, younger than 22 years, or non-Hispanic Black or who had public insurance were less likely to complete within 12 months and completed more slowly than their counterparts. Gender appeared to modify the effect of public versus private insurance on completion (adjusted hazard ratio = 0.76 for women and 0.95 for men; relative excess risk due to interaction = 0.41; 95% confidence interval = 0.09, 0.73). CONCLUSIONS: Completion was low yet similar to previous studies conducted in safety net settings.

Weight and body mass index among female contraceptive clients.

OBJECTIVES: As obesity may affect the efficacy of some contraceptives, we examined weight, body mass index (BMI) and prevalence of obesity among female contraceptive clients at 231 U.S. health centers. A secondary aim was to analyze differences in contraceptive method use by obesity status. STUDY DESIGN: Cross-sectional study using de-identified electronic health record data from family planning centers. We analyzed contraceptive visits made by 147,336 females aged 15-44 years in 2013. RESULTS: A total of 46.1% of clients had BMI ≥25. Mean body weight was 154.4 lb (S.D.=41.9); mean BMI was 26.1 (S.D.=6.6). A total of 40% had BMI ≥26, when levonorgestrel emergency contraception may become less effective. Obese clients had higher odds of using a tier 1 or tier 3 contraceptive method and had lower odds of using a tier 2 or hormonal method than non-obese clients. CONCLUSIONS: About half of contraceptive clients would be categorized as overweight or obese. Contraceptive method choices differed by obesity status. IMPLICATIONS: About half of contraceptive clients in this study population were overweight or obese. Contraceptive method choices differed by obesity status. All women - regardless of body size - should receive unbiased, evidence-based counseling on the full range of contraceptive options so that they can make informed choices.