Cross-Sector Collaborations Between Health Care Systems and Community Partners That Target Health Equity/Disparities in Diabetes Care

Participation of Veterans Affairs Medical Centers in veteran-centric community-based service navigation networks: A mixed methods study

OBJECTIVE

To understand the determinants and benefits of cross-sector partnerships between Veterans Affairs Medical Centers (VAMCs) and geographically affiliated AmericaServes Network coordination centers that address Veteran health-related social needs.

DATA SOURCES AND SETTING

Semi-structured interviews were conducted with AmericaServes and VAMC staff across seven regional networks. We matched administrative data to calculate the percentage of AmericaServes referrals that were successfully resolved (i.e., requested support was provided) in each network overall and stratified by whether clients were also VAMC patients.

STUDY DESIGN

Convergent parallel mixed-methods study guided by Himmelman's Developmental Continuum of Change Strategies (DCCS) for interorganizational collaboration.

DATA COLLECTION

Fourteen AmericaServes staff and 17 VAMC staff across seven networks were recruited using snowball sampling and interviewed between October 2021 and April 2022. Rapid qualitative analysis methods were used to characterize the extent and determinants of VAMC participation in networks.

PRINCIPAL FINDINGS

On the DCCS continuum of participation, three networks were classified as networking, two as coordinating, one as cooperating, and one as collaborating. Barriers to moving from networking to collaborating included bureaucratic resistance to change, VAMC leadership buy-in, and not having VAMCs staff use the shared technology platform. Facilitators included ongoing communication, a shared mission of serving Veterans, and having designated points-of-contact between organizations. The percentage of referrals that were successfully resolved was lowest in networks engaged in networking (65.3%) and highest in cooperating (85.6%) and collaborating (83.1%) networks. For coordinating, cooperating, and collaborating networks, successfully resolved referrals were more likely among Veterans who were also VAMC patients than among Veterans served only by AmericaServes.

CONCLUSIONS

VAMCs participate in AmericaServes Networks at varying levels. When partnerships are more advanced, successful resolution of referrals is more likely, especially among Veterans who are dually served by both organizations. Although challenges to establishing partnerships exist, this study highlights effective strategies to overcome them.

Addressing Structural Inequalities, Structural Racism, and Social Determinants of Health: a Vision for the Future

Significant national discourse has focused on the idea of structural inequalities and structural racism within a variety of societal sectors, including healthcare. This perspective provides an understanding of the historic and pervasive nature of structural inequalities and structural racism; uses well-known frameworks in health equity research for conceptualizing structural inequality and structural racism; offers a summary of the consequences of structural inequalities and structural racism on modern-day health outcomes; and concludes with strategies and suggestions for a way forward. Recommended strategies across different sectors of influence include (a) employment and economic empowerment sector: creating capacity for individuals to earn livable wages; (b) education sector: developing new funding structures to ensure equal opportunities are offered to all; (c) healthcare sector: prioritizing universal access to high-quality health care, including mental health treatment; (d) housing sector: improving access to affordable, safe housing through public-private partnerships; (e) criminal justice sector: focusing reform on restorative justice that is people-centric instead of punitive; and (f) environmental sector: creating sustainable systems that alleviate downstream consequences of climate change. The recommended strategies account for the mutually reinforcing and pervasive nature of structural inequalities/structural racism and target key sectors of influence to enhance overall health outcomes and achieve equity regardless of race, ethnicity, or socioeconomic status.

Neighbourhood-level social deprivation and the risk of recurrent heart failure hospitalizations in type 2 diabetes

BACKGROUND

The importance of type 2 diabetes mellitus (T2D) in heart failure hospitalizations (HFH) is acknowledged. As information on the prevalence and influence of social deprivation on HFH is limited, we studied this issue in a racially diverse cohort.

METHODS

Linking data from US Veterans with stable T2D (without prevalent HF) with a zip-code derived population-level social deprivation index (SDI), we grouped them according to increasing SDI as follows: SDI: group I: ≤20; II: 21-40; III: 41-60; IV: 61-80; and V (most deprived) 81-100. Over a 10-year follow-up period, we identified the total (first and recurrent) number of HFH episodes for each patient and calculated the age-adjusted HFH rate [per 1000 patient-years (PY)]. We analysed the incident rate ratio between SDI groups and HFH using adjusted analyses.

RESULTS

In 1 012 351 patients with T2D (mean age 67.5 years, 75.7% White), the cumulative incidence of first HFH was 9.4% and 14.2% in SDI groups I and V respectively. The 10-year total HFH rate was 54.8 (95% CI: 54.5, 55.2)/1000 PY. Total HFH increased incrementally from SDI group I [43.3 (95% CI: 42.4, 44.2)/1000 PY] to group V [68.6 (95% CI: 67.8, 69.9)/1000 PY]. Compared with group I, group V patients had a 53% higher relative risk of HFH. The negative association between SDI and HFH was stronger in Black patients (SDI × Race pinteraction  < .001).

CONCLUSIONS

Social deprivation is associated with increased HFH in T2D with a disproportionate influence in Black patients. Strategies to reduce social disparity and equalize racial differences may help to bridge this gap.