Engaging patients in population-based chronic disease management: A qualitative study of barriers and intervention opportunities.

OBJECTIVE: Cardiovascular disease (CVD) continues to be a leading cause of morbidity in the U.S. Managing CVD risk factors, such as diabetes or hypertension, can be challenging for many individuals. We investigated the barriers experienced by patients who persistently struggled to reach their CVD risk factor control goals. METHODS: This qualitative study examined patient, clinician, and researcher observations of individuals' experiences in a chronic disease management program. All participants (n = 332) were enrolled in a clinical trial testing a skills-based group intervention seeking to improve healthcare engagement. Data were analyzed through a general inductive approach and resulting themes were structured along the Capability-Opportunity-Motivation-Behavior framework. RESULTS: Analyses identified care engagement barriers related to participants' communication skills and activation, care team relationship processes, and emotional factors. Although most participants reported benefitting from skills training, persistent barriers included distrust of their providers, shame about health challenges, and dissatisfaction with care team interactions that were described as impersonal or unresponsive. CONCLUSIONS AND PRACTICE IMPLICATIONS: Efforts to support engagement in CVD risk factor management programs should address whether patients and their care team have the necessary skills, opportunities and confidence to proactively communicate health needs and engage in non-judgmental interactions for goal-setting, rapport-building, and shared decision-making.

The Role of Community-Based Organizations in Improving Chronic Care for Safety-Net Populations.

INTRODUCTION: Social determinants of health (SDoH) influence health outcomes and contribute to disparities in chronic disease in vulnerable populations. To inform health system strategies to address SDoH, we conducted a multi-stakeholder qualitative study to capture the multi-level influences on health for those living in socio-economically deprived contexts. METHODS: Varied qualitative inquiry methods - in-depth interviews, participant-led neighborhood tours, and clinic visit observations - involving a total of 23 participants (10 patients with chronic illnesses in San Francisco neighborhoods with high chronic disease rates, 10 community leaders serving the same neighborhoods, and 3 providers from San Francisco's public health care delivery system). Qualitative analyses were guided by the Chronic Care Model (CCM). RESULTS: Several key themes emerged from this study. First, we enumerated a large array, neighborhood resources such as food pantries, parks/green spaces, and financial assistance services that interact with patients' self-management. Health service providers leveraged these resources to address patients' social needs but suggested a clear need for expanding this work. Second, analyses uncovered multiple essential mechanisms by which community-based organizations (CBOs) provided and navigated among many neighborhood health resources, including social support and culturally aligned knowledge. Finally, many examples of how structural issues such as institutional racism, transportation, and housing inequities are intertwined with health and social service delivery were elucidated. CONCLUSION: The results contribute new evidence toward the community domain of the CCM. Health care systems must intentionally partner with CBOs to address SDoH and improve community resources for chronic care management, and directly address structural issues to make progress.

Use of financial incentives and text message feedback to increase healthy food purchases in a grocery store cash back program: a randomized controlled trial.

BACKGROUND: The HealthyFood (HF) program offers members up to 25% cash back monthly on healthy food purchases. In this randomized controlled trial, we tested the efficacy of financial incentives combined with text messages in increasing healthy food purchases among HF members. METHODS: Members receiving the lowest (10%) cash back level were randomized to one of six arms: Arm 1 (Usual Care): 10% cash back, no weekly text, standard monthly text; Arm 2: 10% cash back, generic weekly text, standard monthly text; Arm 3: 10% cash back, personalized weekly text, standard monthly text; Arm 4: 25% cash back, personalized weekly text, standard monthly text; Arm 5: 10 + 15%NET cash back, personalized weekly text, standard monthly text; and, Arm 6: 10 + 15%NET cash back, personalized weekly text, unbundled monthly text. In the 10 + 15%NET cash back, the cash back amount was the baseline 10% plus 15% of the net difference between healthy and unhealthy spending. The generic text included information on HF and healthy eating, while the personalized text had individualized feedback on purchases. The standard monthly text contained the cash back amount. The unbundled monthly text included the amount lost due to unhealthy purchases. The primary outcome was the average monthly percent healthy food spending. Secondary outcomes were the percent unhealthy food spending, and the percent healthy and unhealthy food items. RESULTS: Of the members contacted, 20 opted out, and 2841 met all inclusion criteria. There were no between-arm differences in the examined outcomes. The largest mean (standard deviation) difference in percent healthy spending was between Arm 1 (24.8% [11%]) and Arm 2 (26.8% [13%]), and the largest mean difference in percent unhealthy spending was also between Arm 1 (24.4% [20%]) and Arm 2 (21.7% [17%]), but no differences were statistically significant after correction for multiple comparisons. CONCLUSIONS: None of the tested financial incentive structures or text strategies differentially affected food purchasing. Notably, more than doubling the cash back amount and introducing a financial disincentive for unhealthy purchases did not affect purchasing. These findings speak to the difficulty of changing shopping habits and to the need for innovative strategies to shift complex health behaviors. TRIAL REGISTRATION: NCT02486588 Increasing Engagement with a Healthy Food Benefit. The trial was prospectively registered on July 1, 2015.

Identifying Geographic Disparities in Diabetes Prevalence Among Adults and Children Using Emergency Claims Data.

Geographic surveillance can identify hotspots of disease and reveal associations between health and the environment. Our study used emergency department surveillance to investigate geographic disparities in type 1 and type 2 diabetes prevalence among adults and children. Using all-payer emergency claims data from 2009 to 2013, we identified unique New York City residents with diabetes and geocoded their location using home addresses. Geospatial analysis was performed to estimate diabetes prevalence by New York City Census tract. We also used multivariable regression to identify neighborhood-level factors associated with higher diabetes prevalence. We estimated type 1 and type 2 diabetes prevalence at 0.23% and 10.5%, respectively, among adults and 0.20% and 0.11%, respectively, among children in New York City. Pediatric type 1 diabetes was associated with higher income (P = 0.001), whereas adult type 2 diabetes was associated with lower income (P < 0.001). Areas with a higher proportion of nearby restaurants categorized as fast food had a higher prevalence of all types of diabetes (P < 0.001) except for pediatric type 2 diabetes. Type 2 diabetes among children was only higher in neighborhoods with higher proportions of African American residents (P < 0.001). Our findings identify geographic disparities in diabetes prevalence that may require special attention to address the specific needs of adults and children living in these areas. Our results suggest that the food environment may be associated with higher type 1 diabetes prevalence. However, our analysis did not find a robust association with the food environment and pediatric type 2 diabetes, which was predominantly focused in African American neighborhoods.

Population Health Management for Diabetes: Health Care System-Level Approaches for Improving Quality and Addressing Disparities.

PURPOSE OF REVIEW: Population care approaches for diabetes have the potential to improve the quality of care and decrease diabetes-related mortality and morbidity. Population care strategies are particularly relevant as accountable care organizations (ACOs), patient-centered medical homes (PCMH), and integrated delivery systems are increasingly focused on managing chronic disease care at the health system level. This review outlines the key elements of population care approaches for diabetes in the current health care environment. RECENT FINDINGS: Population care approaches proactively identify diabetes patients through disease registries and electronic health record data and utilize multidisciplinary care teams, personalized provider feedback, and decision support tools to target and care for patients at risk for poor outcomes. Existing evidence suggests that these strategies can improve care outcomes and potentially ameliorate existing race/ethnic disparities in health care. However, such strategies may be less effective for patients who are disengaged from the health care system. As population care for diabetes continues to evolve, future initiatives should consider ways to tailor population care to meet individual patient needs, while leveraging improvements in clinical information systems and care integration to optimally manage and prevent diabetes in the future.