Self-reported neighborhood safety and nonadherence to treatment regimens among patients with type 2 diabetes

Factors Affecting Adherence in Allergic Disorders and Strategies for Improvement

Addressing patient adherence is a key element in ensuring positive health outcomes and improving health-related quality of life for patients with atopic and immunologic disorders. Understanding the complex etiologies of patient nonadherence and identifying real-world solutions is important for clinicians, patients, and systems to design and effect change. This review serves as an important resource for defining key issues related to patient nonadherence and outlines solutions, resources, knowledge gaps, and advocacy areas across five domains: health care access, financial considerations, socioenvironmental factors, health literacy, and psychosocial factors. To allow for more easily digestible and usable content, we describe solutions based on three macrolevels of focus: patient, clinician, and system. This review and interactive tool kit serve as an educational resource and call to action to improve equitable distribution of resources, institutional policies, patient-centered care, and practice guidelines for improving health outcomes for all patients with atopic and immunologic disorders.

Older adults using social support to improve self-care (OASIS): Adaptation, implementation and feasibility of peer support for older adults with T2D in appalachia: A feasibility study protocol

INTRODUCTION

The prevalence of type 2 diabetes (T2D) is 17% higher in rural dwellers compared to their urban counterparts, and it increases with age, with an estimated 25% of older adults (≥ 65 years) diagnosed. Appropriate self-care is necessary for optimal clinical outcomes. Overall, T2D self-care is consistently poor among the general population but is even worse in rural-dwellers and older adults. In rural Kentucky, up to 23% of adults in Appalachian communities have been diagnosed with T2D and, of those, 26.8% are older adults. To attain optimal clinical outcomes, social environmental factors, including social support, are vital when promoting T2D self-care. Specifically, peer support has shown to be efficacious in improving T2D self-care behaviors and clinical and psychosocial outcomes related to T2D; however, literature also suggests self-selected social support can be obstructive when engaging in healthful activities. Currently available evidence-based interventions (EBIs) using peer support have not been used to prioritize older adults, especially those living in rural communities.

METHOD

To address this gap, we conducted formative research with stakeholders, and collaboratively identified an acceptable and feasible peer support EBI-peer health coaching (PHC)-that has resulted in improved clinical and psychosocial T2D-related outcomes among participants who did not reside in rural communities nor were ≥65 years. The goal of the proposed study is to use a 2x2 factorial design to test the adapted PHC components and determine their preliminary effectiveness to promote self-care behaviors and improve glycemic control among older adults living in Appalachian Kentucky. Testing the PHC components of the peer support intervention will be instrumental in promoting care for older adults in Appalachia, as it will allow for a larger scale intervention, which if effective, could be disseminated to community partners in Appalachia.

TRIAL REGISTRATION

This study was registered at www.clinicaltrials.gov (NCT06003634) in August 2023.

Social determinants of health in patients with arthritis: a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System

CONTEXT

Social determinants of health (SDOH) are economic, social, and political conditions that affect a person's overall health or the health of a group of people. Researchers have investigated the effects of SDOH on various diseases, such as asthma, obesity, and chronic stress, but few publications have been made regarding its effects on arthritis.

OBJECTIVES

Our primary objective was to analyze the implications of SDOH on disease severity relating to pain levels and limitations experienced among people with diagnosed arthritis.

METHODS

We performed a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System (BRFSS). We included individuals who reported having arthritis, were over the age of 45, and who also completed the SDOH module. Pain scores from the four-question Arthritis Burden Module were correlated to question responses pertaining to SDOH to determine their associations.

RESULTS

For the analysis, our sample size was 25,682, with response rates varying slightly among the SDOH questions. Individuals diagnosed with arthritis were more likely to report functional limitations if they experienced food insecurity (χ2=234.0, p<0.001), financial instability (χ2=149.7, p<0.001), or frequent stress (χ2=297.6, p<0.001). Further, we found that individuals with arthritis experiencing any domain of SDOH reported higher mean pain scores than those not experiencing that domain, with the highest pain score difference among those reporting frequent stress (Coefficient: 1.93, CI=1.74-2.13, t=19.43, p<0.001).

CONCLUSIONS

Our results show that SDOH profoundly impact pain levels and limitations experienced by patients with arthritis. Although work has already begun to help alleviate burdens associated with SDOH, more research and actions are required to create equitable health throughout the population.

Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach

BACKGROUND

Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales.

METHODS

Diabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients.

RESULTS

Populations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access).

CONCLUSIONS

The findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.

Spatial Vision Inequalities: A Literature Review of the Impact of Place on Vision and Eye Health Outcomes

"Neighborhood and built environment" is one of the five domains of social determinants of health that has been outlined by Healthy People 2030, and this domain impacts an individual's well-being, health, and quality of life. Social risk factors (SRFs) in the neighborhood and built environment domain include unstable or unsafe housing, poor access to transportation, lack of green spaces, pollution, safety concerns, and neighborhood measures of inequity. In this narrative literature review, we assess the relationship between neighborhood and built environment SRFs and eye health and vision outcomes. We explain how mapping neighborhood-level SRFs may be used to advance health equity in the field of eye health and vision care.

Association between racial residential segregation and Black-White disparities in cardiovascular disease mortality

BACKGROUND

Racial residential segregation is associated with racial health inequities, but it is unclear if segregation may exacerbate Black-White disparities in cardiovascular disease (CVD) mortality. This study aimed to assess associations between Black-White residential segregation, CVD mortality rates among non-Hispanic (NH) Black and NH White populations, and Black-White disparities in CVD mortality.

METHODS

This cross-sectional study analyzed Black-White residential segregation, as measured by county-level interaction index, of US counties, county-level CVD mortality among NH White and NH black adults aged 25 years and older, and county-level Black-White disparities in CVD mortality in years 2014 to 2017. Age-adjusted, county-level NH Black CVD mortality rates and NH White cardiovascular disease mortality rates, as well as group-level relative risk ratios for Black-White cardiovascular disease mortality, were calculated. Sequential generalized linear models adjusted for county-level socioeconomic and neighborhood factors were used to estimate associations between residential segregation and cardiovascular mortality rates among NH Black and NH White populations. Relative risk ratio tests were used to compare Black-White disparities in the most segregated counties to disparities in the least segregated counties.

RESULTS

We included 1,286 counties with ≥5% Black populations in the main analysis. Among adults aged ≥25 years, there were 2,611,560 and 408,429 CVD deaths among NH White and NH Black individuals, respectively. In the unadjusted model, counties in the highest tertile of segregation had 9% higher (95% CI, 1%-20% higher, P = .04) rates of NH Black CVD mortality than counties in the lowest tertile of segregation. In the multivariable adjusted model, the most segregated counties had 15% higher (95% CI, 0.5% to 38% higher, P = .04) rates of NH Black CVD mortality than the least segregated counties. In the most segregated counties, NH Black individuals were 33% more likely to die of CVD than NH White individuals (RR 1.33, 95% CI 1.32 to 1.33, P < .001).

CONCLUSIONS

Counties with increased Black-White residential segregation have higher rates of NH Black CVD mortality and larger Black-White disparities in CVD mortality. Identifying the causal mechanisms through which racial residential segregation widens disparities in CVD mortality requires further study.

Differences by race in the associations between neighborhood crime and violence and glycemic control among adults with type 2 diabetes

BACKGROUND

Limited data exist on the differential association between neighborhood characteristics such as crime and violence and diabetes outcomes by race.

OBJECTIVE

To examine racial differences in the relationship between neighborhood characteristics (crime and violence) and glycemic control in a sample of adults with type 2 diabetes (T2DM).

DESIGN

A cross-sectional study.

PARTICIPANTS

601 adults with T2DM from the Southeastern United States.

MEASUREMENTS

Outcome was glycemic control. Neighborhood violence and crime were the primary independent variable, and previously validated scales and indices were used to assess neighborhood crime and violence. Covariates included age, gender, education, marital status, income, hours of work per week, duration of diabetes, comorbidity, health status, and site of recruitment. Multiple linear regression was used to assess the relationship between neighborhood characteristics (violence and crime) and glycemic control adjusting for relevant covariates.

RESULTS

Approximately 66% of the sample population was Black with ages ranging between 49-71 years. The unadjusted mean hemoglobin A1c (HbA1c) was significantly higher for Black adults compared to White adults (8.0 ± 2.0 vs. 7.8 ± 1.6; p = 0.002). In the fully adjusted stratified model, glycemic control was significantly associated with neighborhood crime (β-coefficient: 0.36; 95% CI 0.07, 0.65) and neighborhood violence (β-coefficient: 0.14; 95% CI 0.003, 0.28) for White adults in the fully adjusted model; these relationships were not significant for Black adults.

CONCLUSION

In this sample of adults with T2DM, neighborhood crime and violence were significantly associated with glycemic control for White adults, but not for Black adults. Additional research is needed to understand perceptions of neighborhood crime and violence between White adults and Black adults with T2DM.

Association Between Community‐Level Violent Crime and Cardiovascular Mortality in Chicago: A Longitudinal Analysis

Background

Violent crime has recently increased in many major metropolitan cities in the United States. Prior studies suggest an association between neighborhood crime levels and cardiovascular disease, but many have been limited by cross‐sectional designs. We investigated whether longitudinal changes in violent crime rates are associated with changes in cardiovascular mortality rates at the community level in one large US city‐Chicago, IL.

Methods and Results

Chicago is composed of 77 community areas. Age‐adjusted mortality rates by community area for cardiovascular disease, stroke, and coronary artery disease from 2000 to 2014, aggregated at 5‐year intervals, were obtained from the Illinois Department of Public Health Division of Vital Records. Mean total and violent crime rates by community area were obtained from the City of Chicago Police Data Portal. Using a 2‐way fixed effects estimator, we assessed the association between longitudinal changes in violent crime and cardiovascular mortality rates after accounting for changes in demographic and economic variables and secular time trends at the community area level from 2000 to 2014. Between 2000 and 2014, the median violent crime rate in Chicago decreased from 3620 per 100 000 (interquartile range [IQR], 2256, 7777) in the 2000 to 2004 period to 2390 (IQR 1507, 5745) in the 2010 to 2014 period ( P =0.005 for trend). In the fixed effects model a 1% decrease in community area violent crime rate was associated with a 0.21% (95% CI, 0.09–0.33) decrease in cardiovascular mortality rates ( P =<0.001) and a 0.19% (95% CI, 0.04–0.33) decrease in coronary artery disease mortality rates ( P =0.01). There was no statistically significant association between change in violent crime and stroke mortality rates (−0.17% [95% CI, −0.42 to 0.08; P =0.18]).

Conclusions

From 2000 to 2014, a greater decrease in violent crime at the community area level was associated with a greater decrease in cardiovascular and coronary artery disease mortality rates in Chicago. These findings add to the growing evidence of the impact of the built environment on health and implicate violent crime exposure as a potential social determinant of cardiovascular health. Targeted investment in communities to decrease violent crime may improve community cardiovascular health.

Geographic variation in and contextual factors related to biguanide adherence amongst medicaid enrolees with type 2 Diabetes Mellitus

Much is known about the adverse impacts on diabetes outcomes of non-adherence to diabetes medication. Less is known about how adherence to diabetes medication varies geographically, and the correspondence of this variation to social and contextual factors. Using pharmacy claims data over a two-year period, this study analysed non-adherence to biguanide medication for N=24,387 adult Medicaid enrolees diagnosed with Type 2 Diabetes Mellitus (T2DM) and residing in Ohio. Spatial analysis was used to detect clusters of census tract level rates of non-adherence, defined as the proportion of patients below the Proportion Days Covered (PDC) threshold of 80%, the level at which patients have a reasonable likelihood of achieving most clinical benefit from their medication. Multilevel models were used to understand associations between medication non-adherence and contextual factors including social vulnerability, urbanicity and distance to utilised pharmacy, with adjustment for individual-level covariates. These findings indicate that contextual factors are associated with medication non-adherence in Medicaid clients with T2DM. They suggest a need for spatially specific, multifaceted intervention programmes that target and/or account for the features of residential settings beyond individual and health system-level factors alone. While “environmental” considerations are often acknowledged, few intervention initiatives are predicated on explicit knowledge of spatially variable influences that can be targeted to enable and support medication adherence.

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Medication adherence is a problem amongst Type 2 Diabetes patients on Medicaid.

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Social and contextual factors' influence on medication adherence is underexplored.

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Higher social vulnerability is associated with non-adherence to biguanides.

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Adopting spatial analysis techniques enables geographic targeting of health risk.

Association Between Acute Exposure to Crime and Individual Systolic Blood Pressure

INTRODUCTION

Hypertension is associated with adverse cardiovascular outcomes and is geographically concentrated in urban underserved neighborhoods. This study examines the temporal-spatial association between individual exposure to violent crime and blood pressure.

METHODS

A retrospective observational cohort study analyzed 39,211 patients with 227,595 blood pressure measurements from 2014 to 2016 at 3 outpatient clinics at an academic medical center in Chicago. Patients were included in the study if they had documentation of blood pressure in the medical record and resided in census tracts with >1,000 observations. Geocoded violent crime events were obtained from the Chicago Police Department. Individual-level exposure was defined on the basis of spatial and temporal buffers around each patient's home. Spatial buffers included 100-, 250-, 500-, and 1,000-meter disc radii, and temporal buffers included 7, 30, and 60 days preceding each outpatient appointment. Systolic blood pressure measurements (mmHg) were abstracted from the electronic health record. Analysis was performed in 2019-2020.

RESULTS

For each violent crime event within 100 meters from home, systolic blood pressure increased by 0.14 mmHg within 7 days of exposure compared with 0.08 mmHg at 30 days of exposure. In analyses stratified by neighborhood cluster, systolic blood pressure increased by 0.37 mmHg among patients in the suburban affluent cluster relative to that among those in an extreme poverty cluster for the same spatial and temporal buffer.

CONCLUSIONS

Exposure to a violent crime event was associated with increased blood pressure, with gradient effects by both distance and time from exposure.

Examining the Drivers of Racial/Ethnic Disparities in Non-Adherence to Antihypertensive Medications and Mortality Due to Heart Disease and Stroke: A County-Level Analysis

Background: Prior research has identified disparities in anti-hypertensive medication (AHM) non-adherence between Black/African Americans (BAAs) and non-Hispanic Whites (nHWs) but the role of determinants of health in these gaps is unclear. Non-adherence to AHM may be associated with increased mortality (due to heart disease and stroke) and the extent to which such associations are modified by contextual determinants of health may inform future interventions. Methods: We linked the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014-2016) and the 2016 County Health Ranking (CHR) dataset to investigate the associations between AHM non-adherence, mortality, and determinants of health. A proportion of days covered (PDC) with AHM < 80%, was considered as non-adherence. We computed the prevalence rate ratio (PRR)-the ratio of the prevalence among BAAs to that among nHWs-as an index of BAA-nHW disparity. Hierarchical linear models (HLM) were used to assess the role of four pre-defined determinants of health domains-health behaviors, clinical care, social and economic and physical environment-as contributors to BAA-nHW disparities in AHM non-adherence. A Bayesian paradigm framework was used to quantify the associations between AHM non-adherence and mortality (heart disease and stroke) and to assess whether the determinants of health factors moderated these associations. Results: Overall, BAAs were significantly more likely to be non-adherent: PRR = 1.37, 95% Confidence Interval (CI):1.36, 1.37. The four county-level constructs of determinants of health accounted for 24% of the BAA-nHW variation in AHM non-adherence. The clinical care (β = -0.21, p < 0.001) and social and economic (β = -0.11, p < 0.01) domains were significantly inversely associated with the observed BAA-nHW disparity. AHM non-adherence was associated with both heart disease and stroke mortality among both BAAs and nHWs. We observed that the determinants of health, specifically clinical care and physical environment domains, moderated the effects of AHM non-adherence on heart disease mortality among BAAs but not among nHWs. For the AHM non-adherence-stroke mortality association, the determinants of health did not moderate this association among BAAs; the social and economic domain did moderate this association among nHWs. Conclusions: The socioeconomic, clinical care and physical environmental attributes of the places that patients live are significant contributors to BAA-nHW disparities in AHM non-adherence and mortality due to heart diseases and stroke.

HOME DM-BAT: home-based diabetes-modified behavioral activation treatment for low-income seniors with type 2 diabetes-study protocol for a randomized controlled trial

BACKGROUND

About 13% of African Americans and 13% of Hispanics have diabetes, compared to 8% of non-Hispanic Whites (NHWs). This is more pronounced in the elderly where about 25-30% of those aged 65 and older have diabetes. Studies have found associations between social determinants of health (SDoH) and increased incidence, prevalence, and burden of diabetes; however, few interventions have accounted for the context in which the elderly live by addressing SDoH. Specifically, psychosocial factors (such as cognitive dysfunction, functional impairment, and social isolation) impacting this population may be under-addressed due to numerous medical concerns addressed during the clinical visit. The long-term goal of the project is to identify strategies to improve glycemic control and reduce diabetes complications and mortality in African Americans and Hispanics/Latinos with type 2 diabetes.

METHODS

This is a 5-year prospective, randomized clinical trial, which will test the effectiveness of a home-based diabetes-modified behavioral activation treatment for low-income, minority seniors with type 2 diabetes mellitus (T2DM) (HOME DM-BAT). Two hundred, aged 65 and older and with an HbA1c ≥8%, will be randomized into one of two groups: (1) an intervention using in-home, nurse telephone-delivered diabetes education, and behavioral activation or (2) a usual care group using in-home, nurse telephone-delivered, health education/supportive therapy. Participants will be followed for 12 months to ascertain the effect of the intervention on glycemic control, blood pressure, and low-density lipoprotein (LDL) cholesterol. The primary hypothesis is low-income, minority seniors with poorly controlled type 2 diabetes randomized to HOME DM-BAT will have significantly greater improvements in clinical outcomes at 12 months of follow-up compared to usual care.

DISCUSSION

Results from this study will provide important insight into the effectiveness of a home-based diabetes-modified behavioral activation treatment for low-income, minority seniors with uncontrolled type 2 diabetes mellitus and inform strategies to improve glycemic control and reduce diabetes complications in minority elderly with T2DM.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04203147 ). Registered on December 18, 2019, with the National Institutes of Health Clinical Trials Registry.

Medication Adherence: Expanding the Conceptual Framework

Interventions targeting traditional barriers to antihypertensive medication adherence have been developed and evaluated, with evidence of modest improvements in adherence. Translation of these interventions into population-level improvements in adherence and clinical outcomes among older adults remains suboptimal. From the Cohort Study of Medication Adherence among Older adults (CoSMO), we evaluated traditional barriers to antihypertensive medication adherence among older adults with established hypertension (N = 1,544; mean age = 76.2 years, 59.5% women, 27.9% Black, 24.1% and 38.9% low adherence by proportion of days covered (i.e., PDC <0.80) and the 4-item Krousel-Wood Medication Adherence Scale (i.e., K-Wood-MAS-4 ≥1), respectively), finding that they explained 6.4% and 14.8% of variance in pharmacy refill and self-reported adherence, respectively. Persistent low adherence rates, coupled with low explanatory power of traditional barriers, suggest that other factors warrant attention. Prior research has investigated explicit attitudes toward medications as a driver of adherence; the roles of implicit attitudes and time preferences (e.g., immediate vs. delayed gratification) as mechanisms underlying adherence behavior are emerging. Similarly, while associations of individual-level social determinants of health (SDOH) and medication adherence are well reported, there is growing evidence about structural SDOH and specific pathways of effect. Building on published conceptual models and recent evidence, we propose an expanded conceptual framework that incorporates implicit attitudes, time preferences, and structural SDOH, as emerging determinants that may explain additional variation in objectively and subjectively measured adherence. This model provides guidance for design, implementation, and assessment of interventions targeting sustained improvement in implementation medication adherence and clinical outcomes among older women and men with hypertension.

Evaluating perceptions of social determinants of health and Part D star performance of Medicare Advantage-contracted primary care providers serving a South Texas market

BACKGROUND: Socioeconomic factors can have a significant impact on a patient's health status and could be responsible for as much as 70%-80% of a patient's overall health. These factors, called the social determinants of health (SDoH), define a patient's day-to-day experiences. While the influence of such factors is well recognized, who ultimately is responsible for addressing SDoH in health care remains unclear. Physicians and other clinicians are suitably placed to assess SDoH factors that can impact clinical decision making. Understanding Medicare Advantage (MA)-contracted primary care provider (PCP) SDoH perceptions has yet to be fully explored. OBJECTIVES: To (a) understand MA-contracted PCP perceptions of SDoH and (b) investigate correlations between PCP perceptions and their CMS Part D star performances, as well as their hospital admissions and emergency room admissions. METHODS: Survey data were collected from MA-contracted PCPs serving a South Texas market during 2019. An 8-item survey consisting of short answer, ranking, and multiple-choice questions was deployed at attendance-mandatory provider meetings from August to October. Analyses were conducted to understand the providers' SDoH perceptions. PCP responses were first summarized as frequencies and percentages. Baseline descriptive characteristics of the providers were compared by Medicare star ratings using chi-square tests (for categorical variables) and t-tests (for continuous variables). Group differences in physician beliefs on how SDoH affects patients' overall health (question 1), as well as provider beliefs regarding how SDoH affects patients' medication adherence practices (question 2), were assessed using chi-square and t-tests. Associations of provider SDoH perceptions with hospital admissions and emergency room admissions were also assessed. A Fischer's chi-square test was used to examine associations between how PCPs answered the question regarding lack of consistent transportation (question 3) and emergency room admissions. The relationships between PCP perceptions of whose job it is to address SDoH (question 7) and hospital admissions were also evaluated. RESULTS: The response rate for returned surveys was 89%. Analysis revealed that the top 3 barriers were financial insecurity (24.87%), low health literacy (18.65%), and social isolation (15.03%). However, about 36% of PCPs felt they should be the primary addressor of SDoH. There was a significant association between years of practice and CMS Part D star ratings (P = 0.005). A significant association between responses in belief towards patients' overall health and CMS Part D star ratings was examined (P = 0.047). There was a statistically significant difference in mean hospital admissions with PCP perception of who should address SDOH (P = 0.03). Emergency room admissions was significantly associated with perceptions regarding lack of consistent transportation (P = 0.04). No differences with star ratings were observed. CONCLUSIONS: Previous literature recognize safety and food insecurity as key SDoH barriers. However, they were not among the top SDoH barriers in our survey. Future research should examine patient perceptions of SDoH in this population to identify ways providers can better serve their patients. DISCLOSURES: Funding for this study was provided by CareAllies, a Cigna business. Statistical analysis was completed in partnership with the University of Houston. Payne, Esse, Qian, Serna, Villarreal, and Becho-Dominguez are employees of CareAllies. Mohan and Abughosh are employed by the University of Houston College of Pharmacy. Abughosh reports grants from Valeant and Regeneron/Sanofi, unrelated to this work. Vadhariya has nothing to disclose. This research was presented virtually at the AMCP Pharmacist Virtual Learning Days event, April 2020, as well as the American College of Clinical Pharmacy Virtual Poster Symposium, May 26-27, 2020.

Diabetes mortality across the 30 biggest U.S. cities: Assessing overall trends and racial inequities

AIMS

National data suggest that diabetes mortality disproportionately affects Blacks compared to whites. We aimed to (1) calculate diabetes mortality rates (where diabetes was an underlying cause of death) among the general population of the U.S. and the largest 30 cities; (2) calculate Black/white mortality rate ratios and rate differences; and (3) compare changes in mortality rates and inequities across two 5-year periods (2008-2012 (T1) and 2013-2017 (T2)).

METHODS

We used vital statistics mortality data and American Community Survey population estimates.

RESULTS

The U.S. diabetes mortality rate at T1 was 20.91 per 100,000, and significantly increased to 21.05 at T2. El Paso had the highest diabetes mortality rate at both time points (T1 = 33.06; T2 = 35.98), while San Francisco had the lowest rate (T1 = 11.41; T2 = 13.18). The U.S. Black mortality rate was 2.21 times higher than the white rate at T2 (95%CI [2.19-2.23]). Eleven cities had significantly higher rate ratios than the U.S. at T2. The Black:white rate ratio in Washington, D.C. was approximately three times higher than the national rate ratio.

CONCLUSIONS

This city-level data is important to inform more targeted local policy interventions and programming to promote health equity, particularly within cities with the greatest inequities.

Social capital and cost-related medication nonadherence (CRN): A retrospective longitudinal cohort study using the Health and Retirement Study data, 2006-2016

Prescription drug spending and other financial factors (e.g., out-of-pocket costs) partially explain variation in cost-related medication nonadherence (CRN). Indicators of social capital such as neighborhood factors and social support may influence the health and well-being of older adults as they may rely on community resources and support from family and peers to manage conditions. Previous research on the relationship of social capital and CRN has limited evidence and contradictory findings. Hence, our objective is to assess the relationship of social capital indicators (neighborhood social cohesion, neighborhood physical disorder, positive social support, and negative social support) and CRN using a longitudinal design, 2006 to 2016, in a nationally representative sample of older adults in the United States (US). The Health and Retirement Study is a prospective panel study of US adults aged ≥ 50 years evaluated every two years. Data was pooled to create three waves and fitted using Generalized Estimating Equation modelling adjusting for both baseline and timevarying covariates (age, sex, education, race, total household income, and perceived health status). The three waves consisted of 11,791, 12,336, and 9,491 participants. Higher levels of neighborhood social cohesion and positive social support were related with lower CRN (OR 0.92, 95% CI 0.88-0.95 and OR 0.77, 95% CI 0.70-0.84, p<0.01). In contrast, higher levels of neighborhood physical disorder and negative social support were related to higher CRN (OR 1.07, 95% CI 1.03-1.11 and OR 1.46, 95% CI 1.32-1.62, p<0.01). Interventions targeting social capital are needed, reinforcing positive social support and neighborhood social cohesion and diminishing neighborhood physical disorder and negative social support for older adults.

Structural and Social Determinants of Health Factors Associated with County-Level Variation in Non-Adherence to Antihypertensive Medication Treatment

Background: Non-adherence to antihypertensive medication treatment (AHM) is a complex health behavior with determinants that extend beyond the individual patient. The structural and social determinants of health (SDH) that predispose populations to ill health and unhealthy behaviors could be potential barriers to long-term adherence to AHM. However, the role of SDH in AHM non-adherence has been understudied. Therefore, we aimed to define and identify the SDH factors associated with non-adherence to AHM and to quantify the variation in county-level non-adherence to AHM explained by these factors. Methods: Two cross-sectional datasets, the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014–2016 cycle) and the 2016 County Health Rankings (CHR), were linked to create an analytic dataset. Contextual SDH variables were extracted from the CDC-CHR linked dataset. County-level prevalence of AHM non-adherence, based on Medicare fee-for-service beneficiaries’ claims data, was extracted from the CDC Atlas dataset. The CDC measured AHM non-adherence as the proportion of days covered (PDC) with AHM during a 365 day period for Medicare Part D beneficiaries and aggregated these measures at the county level. We applied confirmatory factor analysis (CFA) to identify the constructs of social determinants of AHM non-adherence. AHM non-adherence variation and its social determinants were measured with structural equation models. Results: Among 3000 counties in the U.S., the weighted mean prevalence of AHM non-adherence (PDC < 80%) in 2015 was 25.0%, with a standard deviation (SD) of 18.8%. AHM non-adherence was directly associated with poverty/food insecurity (β = 0.31, P-value < 0.001) and weak social supports (β = 0.27, P-value < 0.001), but inversely with healthy built environment (β = −0.10, P-value = 0.02). These three constructs explained one-third (R² = 30.0%) of the variation in county-level AHM non-adherence. Conclusion: AHM non-adherence varies by geographical location, one-third of which is explained by contextual SDH factors including poverty/food insecurity, weak social supports and healthy built environments.

Moving Diabetes Upstream: the Social Determinants of Diabetes Management and Control Among Immigrants in the US

PURPOSE OF REVIEW

Relative to the US-born population, immigrants are less likely to successfully manage and control their diabetes, leading to a host of diabetes-related complications. This review draws on the social determinants of health framework (SDoH) to summarize the multilevel factors that shape diabetes care and management among immigrants in the USA.

RECENT FINDINGS

While the diabetes literature is replete with research on individual-level risk factors and health behaviors, empirical literature linking the SDoH to diabetes management among immigrants is limited. However, housing precarity, food insecurity, poverty, uninsurance and underinsurance, and limited support for immigrants in healthcare systems are consistently shown to deter diabetes management and care. Immigrants with diabetes face a multitude of structural constraints to managing their diabetes. More research that theorizes the role of SDoH in diabetes management along with empirical qualitative and quantitative studies are needed. Interventions to address diabetes also require a more upstream approach in order to mitigate the drivers of diabetes disparities among immigrants.

Unfavorable perceived neighborhood environment associates with less routine healthcare utilization: Data from the Dallas Heart Study

Neighborhood environment perception (NEP) has been associated with health outcomes. However, little is known about how NEP relates to routine healthcare utilization. This study investigated the relationship between NEP and independent subfactors with healthcare utilization behavior, as measured by self-reported (1) usual source of healthcare and (2) time since last routine healthcare check-up. We used cross-sectional data from the Dallas Heart Study, which features a diverse, probability-based sample of Dallas County residents ages 18 to 65. We used logistic regression modeling to examine the association of self-reported NEP and routine healthcare utilization. NEP was assessed via a questionnaire exploring residents' neighborhood perceptions, including violence, the physical environment, and social cohesion. Routine healthcare utilization was assessed via self-reported responses regarding usual source of care and time since last routine healthcare check-up. The analytic sample (N = 1706) was 58% black, 27% white, 15% Hispanic, 42% male, and had a mean age of 51 (SD = 10.3). Analysis of NEP by tertile demonstrated that younger age, lower income, and lower education were associated with unfavorable overall NEP (p trend <0.05 for each). After adjustment for potential confounders, including neighborhood deprivation, health insurance, disease burden and psychosocial factors, we found that individuals with more unfavorable perception of their physical environment were more likely to report lack of a usual source of care (p = 0.013). Individuals with more unfavorable perception of the neighborhood physical environment or greater neighborhood violence reported longer time periods since last routine visit (p = 0.001, p = 0.034 respectively). There was no relationship between perceived social cohesion and healthcare utilization. Using a multi-ethnic cohort, we found that NEP significantly associates with report of a usual source of care and time since last routine check-up. Our findings suggest that public health professionals should prioritize improving NEP since it may act as barrier to routine preventive healthcare and ideal health outcomes.

Association of Rising Violent Crime With Blood Pressure and Cardiovascular Risk: Longitudinal Evidence From Chicago, 2014-2016

BACKGROUND

The purpose of this study was to examine the longitudinal association between rising violent crime and elevated blood pressure (BP).

METHODS

We analyzed 217,816 BP measurements from 17,783 adults during a temporal surge in violent crime in Chicago (2014-2016). Serial observations were abstracted from the electronic health record at an academic medical center and paired to the City of Chicago Police Data Portal. The violent crime rate (VCR) was calculated as the number of violent crimes per 1,000 population per year for each census tract. Longitudinal multilevel regression models were implemented to assess elevated BP (systolic BP ≥ 140 mm Hg or diastolic BP ≥ 90 mm Hg) as a function of the VCR, adjusting for patient characteristics, neighborhood characteristics, and time effects. Secondary dependent measures included elevated heart rate, obesity, missed outpatient appointments, all-cause hospital admissions, and cardiovascular hospital admissions.

RESULTS

At baseline, the median VCR was 41.3 (interquartile range: 15.2-66.8), with a maximum rise in VCR of 59.1 over the 3-year surge period. A 20-unit rise in the VCR was associated with 3% higher adjusted odds of having elevated BP (95% confidence interval [CI]: 1.01-1.06), 8% higher adjusted odds of missing an outpatient appointment (95% CI: 1.03-1.13), and 6% higher adjusted odds of having a cardiovascular-related hospital admission (95% CI: 1.01-1.12); associations were not significant for elevated heart rate and obesity.

CONCLUSION

Rising violent crime was associated with increased BP during a temporal crime surge.

Using the General Social Survey - National Death Index cohort to study the relationship between neighbourhood fear and mortality in the USA

OBJECTIVES

Fear of crime is associated with adverse mental health outcomes and reduced social interaction independent of crime. Because mental health and social interactions are associated with poor physical health, fear of crime may also be associated with death. The main objective is to determine whether neighbourhood fear is associated with time to death.

SETTING AND PARTICIPANTS

Data from the 1978-2008 General Social Survey were linked to mortality data using the National Death Index (GSS-NDI) (n=20 297).

METHODS

GSS-NDI data were analysed to assess the relationship between fear of crime at baseline and time to death among adults after removing violent deaths. Fear was measured by asking respondents if they were afraid to walk alone at night within a mile of their home. Crude and adjusted HRs were calculated using survival analysis to calculate time to death. Analyses were stratified by sex.

RESULTS

Among those who responded that they were fearful of walking in their neighbourhood at night, there was a 6% increased risk of death during follow-up in the adjusted model though this was not significant (HR=1.06, 95% CI 0.99 to 1.13). In the fully adjusted models examining risk of mortality stratified by sex, findings were significant among men but not women. Among men, in the adjusted model, there was an 8% increased risk of death during follow-up among those who experienced fear at baseline in comparison with those who did not experience fear (HR=1.08, 95% CI 1.02 to 1.14).

CONCLUSIONS

Research has recently begun examining fear as a public health issue. With an identified relationship with mortality among men, this is a potential public health problem that must be examined more fully.

No Man is an Island: The Impact of Neighborhood Disadvantage on Mortality

This study’s purpose is to determine if neighborhood disadvantage, air quality, economic distress, and violent crime are associated with mortality among term life insurance policyholders, after adjusting for individual demographics, health, and socioeconomic characteristics. We used a sample of approximately 38,000 term life policyholders, from a large national life insurance company, who purchased a policy from 2002 to 2010. We linked this data to area-level data on neighborhood disadvantage, economic distress, violent crime, and air pollution. The hazard of dying for policyholders increased by 9.8% (CI: 6.0–13.7%) as neighborhood disadvantage increased by one standard deviation. Area-level poverty and mortgage delinquency were important predictors of mortality, even after controlling for individual personal income and occupational status. County level pollution and violent crime rates were positively, but not statistically significantly, associated with the hazard of dying. Our study provides evidence that neighborhood disadvantage and economic stress impact individual mortality independently from individual socioeconomic characteristics. Future studies should investigate pathways by which these area-level factors influence mortality. Public policies that reduce poverty rates and address economic distress can benefit everyone’s health.

Experiences of Community Violence Among Adults with Chronic Conditions: Qualitative Findings from Chicago

BACKGROUND

Community violence is an important social determinant of health in many high-poverty, urban communities.

OBJECTIVE

The purpose of this study was to explore and characterize self-described experiences of community violence among adults with chronic health conditions.

DESIGN

Qualitative study design was implemented in 2017 using in-depth, semi-structured focus groups and interviews; data were collected from two clinical sites located in geographic epicenters of high violent crime in Chicago.

PARTICIPANTS

Adult patients, ages 35 years and older, who had at least one chronic condition.

APPROACH

Data were analyzed using grounded theory and the constant comparison method.

KEY RESULTS

The overall sample (N = 51) was predominantly female (67%) and black non-Hispanic (75%); a large proportion had hypertension (65%), arthritis (55%), obesity (53%), and/or diabetes (45%). The majority reported that a close friend or family member was seriously injured or killed due to community violence (71%); a similar proportion had never discussed their experiences of community violence with a healthcare provider (73%). Several major themes emerged: (1) perceived risk of being targeted, (2) chronic stress and worry, (3) hypervigilance, (4) social breakdown, (5) chronic isolation, (6) constrained choice (loss of freedom), (7) limited access to material resources, and (8) inadequate healthcare responses.

CONCLUSIONS

Patients often struggled to balance the challenges imposed by community violence with the demands of living with and managing their chronic conditions. Emergent themes may inform practical targets for addressing community violence as a social determinant of health in vulnerable populations.

The neighborhood environment and obesity: Understanding variation by race/ethnicity

Neighborhood characteristics have been associated with obesity, but less is known whether relationships vary by race/ethnicity. This study examined the relationship between soda consumption - a behavior strongly associated with obesity - and weight status with neighborhood sociodemographic, social, and built environments by race/ethnicity. We merged data on adults from the 2011-2013 California Health Interview Survey, U.S. Census data, and InfoUSA (n=62,396). Dependent variables were soda consumption and weight status outcomes (body mass index and obesity status). Main independent variables were measures of three neighborhood environments: social (social cohesion and safety), sociodemographic (neighborhood socioeconomic status, educational attainment, percent Asian, percent Hispanic, and percent black), and built environments (number of grocery stores, convenience stores, fast food restaurants, and gyms in neighborhood). We fit multi-level linear and logistic regression models, stratified by individual race/ethnicity (NH (non-Hispanic) Whites, NH African Americans, Hispanics, and NH Asians) controlling for individual-level characteristics, to estimate neighborhood contextual effects on study outcomes. Lower neighborhood educational attainment was associated with higher odds of obesity and soda consumption in all racial/ethnic groups. We found fewer associations between study outcomes and the neighborhood, especially the built environment, among NH African Americans and NH Asians. While improvements to neighborhood environment may be promising to reduce obesity, null associations among minority subgroups suggest that changes, particularly to the built environment, may alone be insufficient to address obesity in these groups.

Police-Recorded Crime and Disparities in Obesity and Blood Pressure Status in Chicago

BACKGROUND

The purpose of this study was to examine associations between several types of police-recorded crime (violent, nonviolent, and homicide) and cardiometabolic health (obesity and elevated blood pressure [BP]), and to determine if associations were modified by age and sex.

METHODS AND RESULTS

We analyzed cross-sectional data (N=14 799 patients) from 3 primary care clinics at an academic medical center in Chicago, IL. Patient-level health data were obtained from the electronic health record (June 1, 2014-May 31, 2015), including body mass index and BP, and linked to the City of Chicago Police Data Portal. Geocoded crime counts were aggregated to census tract and calculated as the annual crime rate per 1000 population. Generalized linear mixed models were used to assess obesity and BP status as a function of crime rate quartile, controlling for patient, clinic, and neighborhood characteristics. Median violent crime rates in each quartile ranged from 15 to 84 per 1000 population. Median age was 56 years (interquartile range, 38-72 years); 42% of patients were obese and 33% had elevated BP. Compared with patients living in the lowest quartile, patients living in the highest quartile for violent crime had 53% higher adjusted odds of obesity (95% confidence interval, 1.15-2.03) and 25% higher adjusted odds of elevated BP (95% confidence interval, 1.01-1.56). In subanalyses examining homicide, a relatively rare event, exposure was not associated with obesity and was inconsistently associated with elevated BP.

CONCLUSIONS

In a densely populated, high-poverty region in Chicago, recurrent exposure to high rates of violent crime was consistently associated with obesity and elevated BP, but rare exposure to homicide was not.

Associations of Four Community Factors With Longitudinal Change in Hemoglobin A1c Levels in Patients With Type 2 Diabetes

OBJECTIVE

To evaluate associations of community factors with glycated hemoglobin (HbA1c).

RESEARCH DESIGN AND METHODS

We identified patients with type 2 diabetes who had an HbA1c ≥7.5% (58 mmol/mol) and subsequent HbA1c testing within 90-270 days. We used mixed-effect models to assess whether treatment intensification (TI) and community domains (community socioeconomic deprivation [CSD], food availability, fitness assets, and utilitarian physical activity favorability [quartiled]) were associated with HbA1c change over 6 and 24 months, controlling for demographics, HbA1c, BMI, and time with evidence of type 2 diabetes. We evaluated whether community domains modified associations of TI with HbA1c change using cross product terms.

RESULTS

There were 15,308 patients with 69,818 elevated HbA1c measures. The average reduction in HbA1c over 6 months was 0.07% less in townships with a high level of CSD (third quartile versus the first). Reductions were 0.10% greater for HbA1c in townships with the best food availability (versus worst). HbA1c reductions were 0.17-0.19% greater in census tracts in the second and third quartiles of utilitarian physical activity favorability versus the first. The association of TI with 6-month HbA1c change was weaker in townships and boroughs with the worst CSD (versus best) and in boroughs with the best fitness assets (versus worst). The association of TI with 24-month HbA1c change was weaker in census tracts with the worst CSD (versus third quartile) and strongest in census tracts most favorable for utilitarian physical activity (versus worst).

CONCLUSIONS

Community domains were associated with HbA1c change and blunted TI effectiveness.

Neighborhood crime and access to health-enabling resources in Chicago

Neighborhood crime may be an important social determinant of health in many high-poverty, urban communities, yet little is known about its relationship with access to health-enabling resources. We recruited an address-based probability sample of 267 participants (ages ≥35 years) on Chicago's South Side between 2012 and 2013. Participants were queried about their perceptions of neighborhood safety and prior experiences of neighborhood crime. Survey data were paired to a comprehensive, directly-observed census of the built environment on the South Side of Chicago. Multivariable logistic regression models were used to examine access to health-enabling resources (potential and realized access) as a function of neighborhood crime (self-reported neighborhood safety and prior experience of theft or property crime), adjusting for sociodemographic characteristics and self-reported health status. Low potential access was defined as a resident having nearest resources >1 mile from home; poor realized access was defined as bypassing nearby potential resources to use resources >1 mile from home. Poor neighborhood safety was associated with low potential access to large grocery stores (AOR = 1.73, 95% CI = 1.04, 2.87), pharmacies (AOR = 2.24, 95% CI = 1.33, 3.77), and fitness resources (AOR = 1.93, 95% CI = 1.15, 3.24), but not small grocery stores. Any prior experience of neighborhood crime was associated with higher adjusted odds of bypassing nearby pharmacies (AOR = 3.78, 95% CI = 1.11, 12.87). Neighborhood crime may be associated with important barriers to accessing health-enabling resources in urban communities with high rates of crime.

Social Disorder in Adults with Type 2 Diabetes: Building on Race, Place, and Poverty

The recent resurgence of social and civic disquiet in the USA has contributed to increasing recognition that social conditions are meaningfully connected to disease and death. As a "lifestyle disease," control of diabetes requires modifications to daily activities, including healthy dietary practices, regular physical activity, and adherence to treatment regimens. One's ability to develop the healthy practices necessary to prevent or control type 2 diabetes may be influenced by a context of social disorder, the disruptive social and economic conditions that influence daily activity and, consequently, health status. In this paper, we report on our narrative review of the literature that explores the associations between social disorder and diabetes-related health outcomes within vulnerable communities. We also propose a multilevel ecosocial model for conceptualizing social disorder, specifically focusing on its role in racial disparities and its pathways to mediating diabetes outcomes.

Nonadherence to Medication in Inflammatory Bowel Disease: Rate and Reasons

BACKGROUND

This study is the first study to evaluate the nonadherence rate and reasons of same patient with inflammatory bowel disease (IBD) in Iran.

METHODS

During 9 months, 500 patients with IBD were enrolled in the study. Patients were interviewed about their nonadherence behaviors. Factor analysis was used to analyze the collected answers.

RESULTS

The overall rate of nonadherence was 33.3% (27.6% intentional nonadherence and 5.7% unintentional nonadherence). 33.6% of the patients had at least one relapse after discontinuing treatment. The most frequent reason for intentional nonadherence was discontinuing the treatment after recovering from symptoms (42.7%). The most frequent reason for unintentional nonadherence was forgetfulness (5.2%). 19.8% of the patients did not visit their gastroenterologist on time and they purchased drugs from the drugstore. These patients reported that their clinics were too far and difficult to access. There was no significant relationship between nonadherence and demographic variables.

CONCLUSION

Multiple reasons are suggested as factors of medication nonadherence and they seem to be different among different populations. Determining these possible reasons, could lead to finding suitable strategies to overcome or reduce them.

Assessing the relationship between neighborhood factors and diabetes related health outcomes and self-care behaviors

BACKGROUND

Studies have shown that community and neighborhood characteristics can impact health outcomes of those with chronic illness, including T2DM. Factors, such as crime, violence, and lack of resources have been shown to be barriers to optimal health outcomes in diabetes. Thus, the objective of this study is to assess the effects of neighborhood factors on diabetes-related health outcomes and self-care behaviors.

METHODS

Adult patients (N = 615) with type 2 diabetes mellitus (T2DM) were recruited from an academic medical center and a Veterans Affairs medical center in the southeastern United States. Validated scales and indices were used to assess neighborhood factors and diabetes-related self-care behaviors. The most recent HbA1c, blood pressure, and LDL cholesterol were abstracted from each patients' electronic medical record.

RESULTS

In the fully adjusted model, significant associations were between neighborhood aesthetics and diabetes knowledge (β = 0.141) and general diet (β = -0.093); neighborhood comparison and diabetes knowledge (β = 0.452); neighborhood activities and general diet (β = -0.072), exercise (β = -0.104), and foot care (β = -0.114); food insecurity and medication adherence (β = -0.147), general diet (β = -0.125), and blood sugar testing (β = -0.172); and social support and medication adherence (β = 0.009), foot care (β = 0.010), and general diet (β = 0.016). Significant associations were also found between neighborhood violence and LDL Cholesterol (β = 4.04), walking environment and exercise (β = -0.040), and social cohesion and HbA1c (β = -0.086).

DISCUSSION

We found that neighborhood violence, aesthetics, walking environment, activities, food insecurity, neighborhood comparison, social cohesion and social support have statistically significant associations with self-care behaviors and outcomes to varying degrees. However, the key neighborhood factors that had independent associations with multiple self-care behaviors and outcomes were food insecurity, neighborhood activities and social support.

CONCLUSION

This study suggests that food insecurity, neighborhood activities, aesthetics, and social support may be important targets for interventions in individuals with T2DM.

Place and health in diabetes: the neighbourhood environment and risk of depression in adults with type 2 diabetes

BACKGROUND

Depression is a common co-illness in people with diabetes. Evidence suggests that the neighbourhood environment impacts the risk of depression, but few studies have investigated this effect in those with diabetes. We examined the effect of a range of neighbourhood characteristics on depression in people with Type 2 diabetes.

METHODS

This cohort study used five waves of data from 1298 participants with Type 2 diabetes from the Diabetes Health Study (2008-2013). We assessed depression using the Patient Health Questionnaire. We measured neighbourhood deprivation using census data; density of services using geospatial data; level of greenness using satellite imagery; and perceived neighbourhood characteristics using survey data. The effect of neighbourhood factors on risk of depression was estimated using survival analysis, adjusting for sociodemographic variables. We tested effect modification by age, sex and socio-economic characteristics using interaction terms.

RESULTS

More physical activity facilities, cultural services and a greater level of greenness in the neighbourhood were associated with a lower risk of depression in our sample, even after adjusting for confounders. Material deprivation was associated with increased risk of depression, particularly in participants who were older or retired.

CONCLUSIONS

Characteristics of neighbourhoods were associated with the risk of depression in people with Type 2 diabetes and there were vulnerable subgroups within this association. Clinicians are encouraged to consider the neighbourhood environment of their patients when assessing the risk of depression. Future intervention research is need for health policy recommendations.

Effectiveness and feasibility of a software tool to help patients communicate with doctors about problems they face with their medication regimen (EMPATHy): study protocol for a randomized controlled trial

Background

Low-income, Mexican-American patients with diabetes exhibit high rates of medication nonadherence, poor blood sugar control and serious complications, and often have difficulty communicating their concerns about the medication regimen to physicians. Interventions led by community health workers, non-professional community members who are trained to work with patients to improve engagement and communication during the medical visit, have had mixed success in improving outcomes. The primary objective of this project is to pilot test a prototype software toolkit called “EMPATHy” that a community health worker can administer to help patients identify the most important barriers to adherence that they face and discuss these barriers with their doctor.

Methods/Design

The EMPATHy toolkit will be piloted in an ongoing intervention (Coached Care) in which community health workers are trained to be “coaches” to meet with patients before the medical visit and help them prepare a list of important questions for the doctor. A total of 190 Mexican-American patients with poorly controlled type 2 diabetes will be recruited from December 2014 through June 2015 and will be randomly assigned to complete either a single Coached Care intervention visit with no software tools or a Coached Care visit incorporating the EMPATHy software toolkit. The primary endpoints are (1) the development of a “contextualized plan of care” (i.e., a plan of care that addresses a barrier to medication adherence in the patient’s daily life) with the doctor, determined from an audio recording of the medical visit, and (2) attainment of a concrete behavioral goal set during the intervention session, assessed in a 2-week follow-up phone call to the patient. The statistical analysis will include logistic regression models and is powered to detect a 50% increase in the primary endpoints.

Discussion

The study will provide evidence regarding the effectiveness and feasibility of a software tool to help patients communicate with doctors about problems they face with their medications.

Trial registration

ClinicalTrials.gov NCT02324036 Registered 16 December 2014.

Effectiveness and feasibility of a software tool to help patients communicate with doctors about problems they face with their medication regimen (EMPATHy): study protocol for a randomized controlled trial

BACKGROUND

Low-income, Mexican-American patients with diabetes exhibit high rates of medication nonadherence, poor blood sugar control and serious complications, and often have difficulty communicating their concerns about the medication regimen to physicians. Interventions led by community health workers, non-professional community members who are trained to work with patients to improve engagement and communication during the medical visit, have had mixed success in improving outcomes. The primary objective of this project is to pilot test a prototype software toolkit called "EMPATHy" that a community health worker can administer to help patients identify the most important barriers to adherence that they face and discuss these barriers with their doctor.

METHODS/DESIGN

The EMPATHy toolkit will be piloted in an ongoing intervention (Coached Care) in which community health workers are trained to be "coaches" to meet with patients before the medical visit and help them prepare a list of important questions for the doctor. A total of 190 Mexican-American patients with poorly controlled type 2 diabetes will be recruited from December 2014 through June 2015 and will be randomly assigned to complete either a single Coached Care intervention visit with no software tools or a Coached Care visit incorporating the EMPATHy software toolkit. The primary endpoints are (1) the development of a "contextualized plan of care" (i.e., a plan of care that addresses a barrier to medication adherence in the patient's daily life) with the doctor, determined from an audio recording of the medical visit, and (2) attainment of a concrete behavioral goal set during the intervention session, assessed in a 2-week follow-up phone call to the patient. The statistical analysis will include logistic regression models and is powered to detect a 50% increase in the primary endpoints.

DISCUSSION

The study will provide evidence regarding the effectiveness and feasibility of a software tool to help patients communicate with doctors about problems they face with their medications.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02324036 Registered 16 December 2014.

Direct and indirect effects of neighborhood factors and self-care on glycemic control in adults with type 2 diabetes

AIM

To determine whether neighborhood factors have direct or indirect effects, via self-care behaviors on glycemic control.

METHODS

Adult patients with type 2 diabetes were recruited from an academic medical center and Veterans Affairs Medical Center in the southeastern United States. Confirmatory factor analysis was used to create latent variables for neighborhood factors and diabetes self-care behavior. Structural equation modeling was used to test direct and indirect effects between neighborhood factors and glycemic control as assessed by HbA1c levels.

RESULTS

CFA yielded four latent variables for neighborhood factors (neighborhood violence, access to healthy food, social support, and neighborhood aesthetics) and one latent variable diabetes self-care. We found that social support (β=0.28, z=4.86, p<0.001) and access to healthy foods (β=-0.17, z=-2.95, p=0.003) had direct effects on self-care; self-care (β=-0.15, z=-2.48, p=0.013) and neighborhood aesthetics (β=0.12, z=2.19, p=0.03) had direct effects on glycemic control; while social support (β=-0.04, z=-2.26, p=0.02) had an indirect effect on glycemic control via self-care.

CONCLUSION

This study showed that self-care behaviors and neighborhood aesthetics have direct effects on glycemic control, social support and access to health foods had direct effects on self-care, and social support had an indirect effect on glycemic control via self-care.

Effect of neighborhood factors on diabetes self-care behaviors in adults with type 2 diabetes

OBJECTIVE

The objective of this study was to identify latent variables for neighborhood factors and diabetes self-care and examine the effect of neighborhood factors on diabetes self-care in adults with type 2 diabetes.

RESEARCH DESIGN AND METHODS

615 subjects were recruited from an academic medical center and a Veterans affairs medical center in the southeastern United States. Validated scales were used to assess neighborhood factors and diabetes-related self-care. Confirmatory factor analysis (CFA) was used to determine the latent constructs. Structural equation modeling (SEM) was then used to assess the relationship between neighborhood factors and diabetes self-care.

RESULTS

Based on a theoretical framework, CFA yielded four latent variables for neighborhood factors (neighborhood violence, access to healthy food, social support, and neighborhood esthetics) and one latent variable diabetes self-care (including diet, exercise, foot care, blood sugar testing and medication adherence). SEM showed that social support (r=0.28, p<0.001) and access to healthy foods (r=-0.16, p=0.003) were significantly associated with self-care behaviors, while neighborhood violence (r=-0.06, p<0.001) and esthetics (r=-0.07, p=0.278) were not χ(2) (180, N=611)=192, p=0.26, RMSEA=0.01, CFI=0.999). In the final trimmed model, social support (r=0.31, p<0.001) and access to healthy foods (r=-0.20, p<0.001) remained significantly associated with self-care behaviors χ(2) (76, N=611)=60, p=0.91, RMSEA=0.00, CFI=1.0).

CONCLUSION

This study developed latent factors for neighborhood characteristics and diabetes self-care and found that social support and access to healthy foods were significantly associated with diabetes self-care and should be considered as targets for future interventions.

Neighborhood perceptions and health-related outcomes among Latinos with diabetes from a rural agricultural community

Little is known about how neighborhood perceptions are related to diabetes outcomes among Latinos living in rural agricultural communities. Our objective was to examine the association between perceived neighborhood problems and diabetes outcomes. This is a cross-sectional survey study with medical record reviews of a random sample of 250 adult Latinos with type 2 diabetes. The predictor was a rating of patient ratings of neighborhood problems (crime, trash and litter, lighting at night, and access to exercise facilities, transportation, and supermarkets). The primary outcomes were the control of three intermediate outcomes [LDL-cholesterol (LDL-c) < 100 mg/dl, AlC < 9.0 %, and blood pressure (BP) < 140/80 mmHg], and body mass index (BMI) < 30 kg/m(2). Secondary outcomes were participation in self-care activities (physical activity, healthy eating, medication adherence, foot checks, and glucose checks). We used regression analysis and adjusted for age, gender, education, income, years with diabetes, insulin use, depressive symptoms, and co-morbidities. Forty-eight percent of patients perceived at least one neighborhood problem and out of the six problem areas, crime was most commonly perceived as a problem. Perception of neighborhood problems was independently associated with not having a BP < 140/80 [Adjusted odds ratio (AOR) = 0.45; 95 % CI 0.22, 0.92], and BMI < 30 (AOR = 0.43; 95 % CI 0.24, 0.77), after controlling for covariates. Receipt of recommended processes of care was not associated with perception of neighborhood. Perception of neighborhood problems among low-income rural Latinos with diabetes was independently associated with a higher BMI and BP.

Stress, depression and medication nonadherence in diabetes: test of the exacerbating and buffering effects of family support

Stressors and depressive symptoms have been associated with medication nonadherence among adults with type 2 diabetes (T2DM). We tested whether these associations were exacerbated by obstructive family behaviors or buffered by supportive family behaviors in a sample of 192 adults with T2DM and low socioeconomic status using unadjusted and adjusted regression models. We found support for the exacerbating hypothesis. Stressors and nonadherence were only associated at higher levels of obstructive family behaviors (interaction AOR = 1.12, p = .002). Similarly, depressive symptoms and nonadherence were only associated at higher levels of obstructive family behaviors (interaction AOR = 3.31, p = .002). When participants reported few obstructive family behaviors, neither stressors nor depressive symptoms were associated with nonadherence. We did not find support for the buffering hypothesis; stressors and depressive symptoms were associated with nonadherence regardless of supportive family behaviors. Nonadherent patients experiencing stressors and/or major depressive symptoms may benefit from interventions that reduce obstructive family behaviors.

Racial disparities in diabetes mortality in the 50 most populous US cities

While studies have consistently shown that in the USA, non-Hispanic Blacks (Blacks) have higher diabetes prevalence, complication and death rates than non-Hispanic Whites (Whites), there are no studies that compare disparities in diabetes mortality across the largest US cities. This study presents and compares Black/White age-adjusted diabetes mortality rate ratios (RRs), calculated using national death files and census data, for the 50 most populous US cities. Relationships between city-level diabetes mortality RRs and 12 ecological variables were explored using bivariate correlation analyses. Multivariate analyses were conducted using negative binomial regression to examine how much of the disparity could be explained by these variables. Blacks had statistically significantly higher mortality rates compared to Whites in 39 of the 41 cities included in analyses, with statistically significant rate ratios ranging from 1.57 (95 % CI: 1.33-1.86) in Baltimore to 3.78 (95 % CI: 2.84-5.02) in Washington, DC. Analyses showed that economic inequality was strongly correlated with the diabetes mortality disparity, driven by differences in White poverty levels. This was followed by segregation. Multivariate analyses showed that adjusting for Black/White poverty alone explained 58.5 % of the disparity. Adjusting for Black/White poverty and segregation explained 72.6 % of the disparity. This study emphasizes the role that inequalities in social and economic determinants, rather than for example poverty on its own, play in Black/White diabetes mortality disparities. It also highlights how the magnitude of the disparity and the factors that influence it can vary greatly across cities, underscoring the importance of using local data to identify context specific barriers and develop effective interventions to eliminate health disparities.

A systematic literature review of methodologies used to assess medication adherence in patients with diabetes

OBJECTIVE

Adhering to prescribed medication is often a problem for patients with diabetes yet there is no consensus on how best to measure adherence in this patient population. This systematic literature review critically reviewed and summarized the methods used to measure medication adherence in patients with diabetes (on oral hypoglycemic agents [OHAs] and/or insulin) in original research published between 2007-2013.

STUDY DESIGN

Literature review.

METHODS

A systematic search for methods to assess medication adherence in patients with type I or type II diabetes was conducted using PubMed, EMBASE, PsychInfo, and Cochrane databases. Two researchers independently screened abstracts for initial eligibility and then applied the inclusion/exclusion criteria to the relevant full-text articles.

RESULTS

Fifty-nine articles met the criteria for inclusion. Subjective assessment (observer-reported and patient-reported), pill counts, Medication Event Monitoring System (MEMS), cell-phone real-time assessment, and logbooks were used in prospective studies. In pharmacy claims databases, medication possession ratios (MPRs), or some derivation thereof, were utilized. Each method has strengths and weaknesses, but few approaches specifically addressed issues unique to assessing insulin adherence. Three novel approaches (using cell-phone real-time assessment, computerized logbooks, and a questionnaire about different dosing irregularities) provided insight on timing and dosing issues that could be useful for highlighting interventions to improve insulin adherence.

CONCLUSION

No gold standard exists for measuring medication adherence in patients with diabetes. The plethora of adherence methods precludes the comparison of adherence rates across studies. Greater consistency is therefore needed in adherence measurement, including question content, recall period, and response options for self-report measures. Novel methods for understanding adherence to variable-dosed insulin require further research. Researchers should select a methodology that best fits their research question, study design, patient population and resources.

Stressors may compromise medication adherence among adults with diabetes and low socioeconomic status

Studies examining the impact of stressors on diabetes self-care have focused on a single stressor or have been largely qualitative. Therefore, we assessed the stressors experienced by a high-risk population with type 2 diabetes, and tested whether having more stressors was associated with less adherence to multiple self-care behaviors. Participants were recruited from a Federally Qualified Health Center and 192 completed a stressors checklist. Experiencing more stressors was associated with less adherence to diet recommendations and medications among participants who were trying to be adherent, but was not associated with adherence to other self-care behaviors. Because having more stressors was also associated with more depressive symptoms, we further adjusted for depressive symptoms. Stressors remained associated with less adherence to medications, but not to diet recommendations. For adults engaged in adherence, experiencing an accumulation of stressors presents barriers to adherence that are distinct from associated depressive symptoms.

Costs and beliefs: understanding individual- and neighborhood-level correlates of medication nonadherence among Mexican Americans with type 2 diabetes

OBJECTIVE

High rates of medication nonadherence observed in disadvantaged populations are often attributed to socioeconomic factors. Little is known, however, about how a person's neighborhood environment may contribute to nonadherence beyond what can be explained by a lack of individual resources to pay for medications. This study considered the reasons patients reported for deviating from their medication regimens to understand how individual-level and neighborhood-level indicators of socioeconomic status (SES) may each influence adherence behavior.

METHOD

Cross-sectional data were collected between 2006 and 2011 from a sample of Mexican American patients with type 2 diabetes (N = 749) treated at university-affiliated clinics in Southern California. Measures included individual-level SES (years of education, health insurance type, and household income), neighborhood deprivation, and medication nonadherence (for reasons related to cost and reasons related to beliefs about medications). Neighborhood deprivation was assessed using the Neighborhood Socioeconomic Status Index (Dubowitz et al., 2011), a validated aggregate of census tract-level indicators linked to each participant's home address.

RESULTS

RESULTS from multilevel logistic regression models revealed that individual-level SES was associated with nonadherence related to cost (annual household income < $20,000 vs. > $40,000, p = .001; Medicare vs. commercial health insurance, p < .001), whereas neighborhood deprivation was associated with nonadherence related to beliefs about medications (p = .011).

CONCLUSION

Findings from this study suggest that an individual's lack of resources may contribute to nonadherence related to cost, whereas elements of the broader social environment may promote nonadherence related to negative beliefs about medications.

Diabetes distress and neighborhood characteristics in people with type 2 diabetes

OBJECTIVE

Diabetes-specific distress is an important psychological issue in people with diabetes. The neighborhood environment has the potential to be an important factor for diabetes distress. This study investigates the associations between neighborhood characteristics and diabetes distress in adults with type 2 diabetes.

METHODS

We used cross-sectional data from a community-based sample of 578 adults with type 2 diabetes from Quebec, Canada. Information on perceived neighborhood characteristics and diabetes distress was collected from phone interviews. We used factor analysis to combine questionnaire items into neighborhood factors. Information on neighborhood deprivation was derived from census data. We performed linear regressions for diabetes distress and specific domains of diabetes distress (emotional, regimen-related, physician-related and interpersonal distress), adjusting for individual-level variables.

RESULTS

Factorial analysis uncovered 3 important neighborhood constructs: perceived order (social and physical order), culture (social and cultural environment) and access (access to services and facilities). After adjusting for individual-level confounders, neighborhood order was significantly associated with diabetes distress and all specific domains of distress; neighborhood culture was specifically associated with regimen-related distress; and neighborhood access was specifically associated with physician-related distress. The objective measure of neighborhood material deprivation was associated with regimen-related distress.

CONCLUSIONS

Neighborhood characteristics are associated with diabetes distress in people with type 2 diabetes. Clinicians should consider the neighborhood environment reported by their patients with diabetes when assessing and addressing diabetes-specific distress.

Food insecurity, processes of care, and self-reported medication underuse in patients with type 2 diabetes: results from the California Health Interview Survey

OBJECTIVE

To assess the independent association of food insecurity with processes of care and delays in filling prescriptions.

DATA SOURCE

2007 California Health Interview Survey.

STUDY DESIGN

Associations of food insecurity with processes of care and delays in filling prescriptions were examined using multivariable logistic regression analyses adjusted for sociodemographic characteristics, barriers to accessing care, and health status.

DATA EXTRACTION

Data were analyzed from adults currently receiving treatment for type 2 diabetes and who had seen a doctor in the prior 12 months (N = 3,401).

PRINCIPAL FINDINGS

For diabetes patients currently receiving medical care, food insecurity was not associated with lower rates of performance of recommended processes of care, but it was associated with delays in filling prescriptions (aOR = 2.15, 95 percent CI 1.25, 3.71).

CONCLUSIONS

Food insecurity may increase delays in filling prescriptions in daily life, even though the performance of recommended processes of care in the clinic is not diminished.

Organizational justice in primary-care health centers and glycemic control in patients with type 2 diabetes

BACKGROUND

Organizational justice has been put forward as a measure of leadership quality that is associated with better health among employees.

OBJECTIVES

We extended that idea to test whether perceived organizational justice among health care providers might be positively associated with glycemic control among their diabetic patients.

SETTING

Eighteen primary-care health centers (HCs) in Finland.

PARTICIPANTS

Type 2 diabetes patients (n=8954) and HC staff (n=422).

MEASUREMENTS

: Mean of 1 year's measurements of glycated hemoglobin [≥ 7.0 (the least optimal); 6.5-6.9; 6.0-6.4; and 4.5-5.9 (the most optimal)], health-center psychosocial work characteristics (staff-reported procedural justice and relational justice, effort-reward imbalance, and work-unit team climate), and individual-level and work-unit-level covariates.

RESULTS

Perceptions of higher levels of procedural justice among staff were associated with more optimal glycated hemoglobin levels among patients (cumulative odds ratio per 1-U increase in justice=1.54, 95% confidence interval, 1.08-2.18) after adjustment for patient-level and unit-level covariates. Relational justice, effort-reward imbalance, and work-unit team climate were not associated with glycemic control.

CONCLUSION

The quality of leadership at HCs, as indicated by staff perceptions of procedural justice, may play a role in achieving good glycemic control among type 2 diabetes patients.

An analysis of contextual information relevant to medical care unexpectedly volunteered to researchers by asthma patients

OBJECTIVE

To describe and categorize contextual information relevant to patients' medical care unexpectedly volunteered to research personnel as part of a patient advocate (PA) intervention to facilitate access health care, communication with medical personnel, and self-management of a chronic disease such as asthma.

METHODS

We adapted a patient navigator intervention, to overcome barriers to access and communication for adults with moderate or severe asthma. Informed by focus groups of patients and providers, our PAs facilitated preparation for a visit with an asthma provider, attended the visit, confirmed understanding, and assisted with post-visit activities. During meetings with researchers, either for PA activities or for data collection, participants frequently volunteered personal and medical information relevant for achieving successful self-management that was not routinely shared with medical personnel. For this project, researchers journaled information not captured by the structured questionnaires and protocol. Using a qualitative analysis, we describe (1) researchers' journals of these unique communications; (2) their relevance for accomplishing self-management; (3) PAs' formal activities including teach-back, advocacy, and facilitating appointment making; and (4) observations of patients' interactions with the clinical practices.

RESULTS

In 83 journals, patients' social support (83%), health (68%), and deportment (69%) were described. PA assistance with navigating the medical system (59%), teach-back (46%), and observed interactions with patient and medical staff (76%) were also journaled. Implicit were ways patients and practices could overcome barriers to access and communication.

CONCLUSIONS

These journals describe the importance of seeking contextual and medically relevant information from all patients and, especially, those with significant morbidities, prompting patients for barriers to access to health care, and confirming understanding of medical information.