Identifying priority and bright spot areas for improving diabetes care: a geospatial approach.

The objective of this study was to describe a novel geospatial methodology for identifying poor-performing (priority) and well-performing (bright spot) communities with respect to diabetes management at the ZIP Code Tabulation Area (ZCTA) level. This research was the first phase of a mixed-methods approach known as the focused rapid assessment process (fRAP). Using data from the Lehigh Valley Health Network in eastern Pennsylvania, geographical information systems mapping and spatial analyses were performed to identify diabetes prevalence and A1c control spatial clusters and outliers. We used a spatial empirical Bayes approach to adjust diabetes-related measures, mapped outliers and used the Local Moran\u27s I to identify spatial clusters and outliers. Patients with diabetes were identified from the Lehigh Valley Practice and Community-Based Research Network (LVPBRN), which comprised primary care practices that included a hospital-owned practice, a regional practice association, independent small groups, clinics, solo practitioners and federally qualified health centres. Using this novel approach, we identified five priority ZCTAs and three bright spot ZCTAs in LVPBRN. Three of the priority ZCTAs were located in the urban core of Lehigh Valley and have large Hispanic populations. The other two bright spot ZCTAs have fewer patients and were located in rural areas. As the first phase of fRAP, this method of identifying high-performing and low-performing areas offers potential to mitigate health disparities related to diabetes through targeted exploration of local factors contributing to diabetes management. This novel approach to identification of populations with diabetes performing well or poor at the local community level may allow practitioners to target focused qualitative assessments where the most can be learnt to improve diabetic management of the community

Qualitative Exploration of Geospatially Identified Bright Spots and Priority Areas to Improve Diabetes Management.

BACKGROUND: Type 2 diabetes (T2DM) results in significant morbidity and mortality and is associated with disparities in prevalence, treatment, and outcomes. GIS can identify geographically based disparities. In the focused Rapid Assessment Process (fRAP)-a novel mixed-method study design-GIS is combined with qualitative inquiry to inform practice interventions and policy changes. METHODS: Using fRAP, areas with poor T2DM outcomes (priority areas) as well as areas with positive T2DM outcomes (bright spots) were identified, focus groups were conducted, and responses analyzed for intervention opportunities. Focus group participants were English- and Spanish-speaking patients with T2DM living in one of the identified areas. Qualitative analysis consisted of initial coding with a priori themes from the focus group question guide, followed by identification of emergent themes within each defined category. RESULTS: The a priori categories included Facilitators, Barriers, Strategies, and Impact of Diabetes Diagnosis. Emerging recurrent themes were Interactions with Medical Professionals, Medications, Lifestyle Management, Family Motivators and Support, Self-Efficacy, and Social Needs and Community Resources. CONCLUSIONS: Thematic results from focus groups can be used by practices to improve T2DM care through educating patients about chronic disease and nutrition, connecting them to diabetes-specific services, learning how diabetes fits in the context of patient lives, and eliciting patient values and motivations to improve diabetes self-management. Findings also may be used by health care professionals to inform community-based advocacy efforts, interventions, and future research

Substance use disorder approaches in US primary care clinics with national reputations as workforce innovators.

BACKGROUND: Over the last decade, primary care clinics in the United States have responded both to national policies encouraging clinics to support substance use disorders (SUD) service expansion and to regulations aiming to curb the opioid epidemic. OBJECTIVE: To characterize approaches to SUD service expansion in primary care clinics with national reputations as workforce innovators. METHODS: Comparative case studies were conducted to characterize different approaches among 12 primary care clinics purposively and iteratively recruited from a national registry of workforce innovators. Observational field notes and qualitative interviews from site visits were coded and analysed to identify and characterize clinic attributes. RESULTS: Codes describing clinic SUD expansion approaches emerged from our analysis. Clinics were characterized as: avoidant (n = 3), contemplative (n = 5) and responsive (n = 4). Avoidant clinics were resistant to planning SUD service expansion; had no or few on-site behavioural health staff; and lacked on-site medication treatment (previously termed medication-assisted therapy) waivered providers. Contemplative clinics were planning or had partially implemented SUD services; members expressed uncertainties about expansion; had co-located behavioural healthcare providers, but no on-site medication treatment waivered and prescribing providers. Responsive clinics had fully implemented SUD; members used non-judgmental language about SUD services; had both co-located SUD behavioural health staff trained in SUD service provision and waivered medication treatment physicians and/or a coordinated referral pathway. CONCLUSIONS: Efforts to support SUD service expansion should tailor implementation supports based on specific clinic training and capacity building needs. Future work should inform the adaption of evidence-based practices that are responsive to resource constraints to optimize SUD treatment access

Substance use disorder approaches in US primary care clinics with national reputations as workforce innovators.

BACKGROUND: Over the last decade, primary care clinics in the United States have responded both to national policies encouraging clinics to support substance use disorders (SUD) service expansion and to regulations aiming to curb the opioid epidemic. OBJECTIVE: To characterize approaches to SUD service expansion in primary care clinics with national reputations as workforce innovators. METHODS: Comparative case studies were conducted to characterize different approaches among 12 primary care clinics purposively and iteratively recruited from a national registry of workforce innovators. Observational field notes and qualitative interviews from site visits were coded and analysed to identify and characterize clinic attributes. RESULTS: Codes describing clinic SUD expansion approaches emerged from our analysis. Clinics were characterized as: avoidant (n = 3), contemplative (n = 5) and responsive (n = 4). Avoidant clinics were resistant to planning SUD service expansion; had no or few on-site behavioural health staff; and lacked on-site medication treatment (previously termed medication-assisted therapy) waivered providers. Contemplative clinics were planning or had partially implemented SUD services; members expressed uncertainties about expansion; had co-located behavioural healthcare providers, but no on-site medication treatment waivered and prescribing providers. Responsive clinics had fully implemented SUD; members used non-judgmental language about SUD services; had both co-located SUD behavioural health staff trained in SUD service provision and waivered medication treatment physicians and/or a coordinated referral pathway. CONCLUSIONS: Efforts to support SUD service expansion should tailor implementation supports based on specific clinic training and capacity building needs. Future work should inform the adaption of evidence-based practices that are responsive to resource constraints to optimize SUD treatment access