New Frontiers in Diabetes Care: Quality Improvement Study of a Population Health Team in Rural Critical Access Hospitals.

BACKGROUND: Rural populations are older, have higher diabetes prevalence, and have less improvement in diabetes-related mortality rates compared to urban counterparts. Rural communities have limited access to diabetes education and social support services. OBJECTIVE: Determine if an innovative population health program that integrates medical and social care models improves clinical outcomes for patients with type 2 diabetes in a resource-constrained, frontier area. DESIGN/PARTICIPANTS: Quality improvement cohort study of 1764 patients with diabetes (September 2017-December 2021) at St. Mary's Health and Clearwater Valley Health (SMHCVH), an integrated health care delivery system in frontier Idaho. The United States Department of Agriculture's Office of Rural Health defines frontier as sparsely populated areas that are geographically isolated from population centers and services. INTERVENTION: SMHCVH integrated medical and social care through a population health team (PHT), where staff assess medical, behavioral, and social needs with annual health risk assessments and provide core interventions including diabetes self-management education, chronic care management, integrated behavioral health, medical nutritional therapy, and community health worker navigation. We categorized patients with diabetes into three groups: patients with two or more PHT encounters during the study (PHT intervention), one PHT encounter (minimal PHT), and no PHT encounters (no PHT). MAIN MEASURES: HbA1c, blood pressure, and LDL over time for each study group. KEY RESULTS: Of the 1764 patients with diabetes, mean age was 68.3 years, 57% were male, 98% were white, 33% had three or more chronic conditions, and 9% had at least one unmet social need. PHT intervention patients had more chronic conditions and higher medical complexity. Mean HbA1c of PHT intervention patients significantly decreased from baseline to 12 months (7.9 to 7.6%, p < 0.01) and sustained reductions at 18 months, 24 months, 30 months, and 36 months. Minimal PHT patients decreased HbA1c from baseline to 12 months (7.7 to 7.3%, p < 0.05). CONCLUSION: The SMHCVH PHT model was associated with improved hemoglobin A1c among less well-controlled patients with diabetes.

Challenges and Approaches to Population Management of Long-Term Opioid Therapy Patients.

PURPOSE: Primary care is challenged with safely prescribing opioids for patients with chronic noncancer pain (CNCP), specifically to address risks for overdose, opioid use disorder, and death. We identify sociotechnical challenges, approaches, and recommendations in primary care to effectively track and monitor patients on long-term opioid therapy, a key component for supporting adoption of opioid prescribing guidelines. METHODS: We examined qualitative data (field notes and postintervention interview and focus group transcripts) from 6 rural and rural-serving primary care organizations with 20 clinic locations enrolled in a study evaluating a practice redesign program to improve opioid medication management for CNCP patients. Two independent researchers used content analysis to categorize data into key themes to develop an understanding of sociotechnical factors critical to creating and implementing an approach to tracking and monitoring of patients on long-term opioid therapy in primary care practices. RESULTS: Four factors were critical to developing a tracking and monitoring system. For each we describe common challenges and approaches used by the clinics to overcome then. The first factor, buy-in and participation, was essential for accomplishing the other 3. The other factors occurred sequentially: 1) cohort identification-finding the right patients, 2) data collection and extraction-tracking the right data, and 3) data use-monitoring patients and adjusting care processes. CONCLUSIONS: We identified common challenges and approaches to tracking and monitoring patients using long-term opioid therapy for CNCP in primary care. Based on these findings we provide recommendations to build capacity for tracking and monitoring for organizations that are engaged in improving safe opioid-prescribing practices for CNCP in primary care.

Staff and Clinician Work-Life Perceptions after Implementing Systems-Based Improvements to Opioid Management.

BACKGROUND: The Six Building Blocks Program is an evidence-based approach to primary care redesign for opioid management among patients with chronic pain. This analysis assesses the impact of implementing the Six Building Blocks on the work-life of primary care providers and staff. METHODS: Six rural and rural-serving primary care organizations with 20 clinic locations implemented the Six Building Blocks with support from a practice facilitator, clinical experts, and an informatics specialist. After 15 months of support, interviews and focus groups were conducted with staff and clinicians in each organization to stimulate reflection on the process and outcomes of implementing the Six Building Blocks Program. Transcripts of interviews and focus groups were coded and analyzed using template analysis. Once a set of themes was agreed on, the primary qualitative analyst revisited the source data to confirm that they accurately reflected the data. RESULTS: Overall, implementing the Six Building Blocks improved provider and staff work-life experience. Reported improvements to work-life included increased confidence and comfort in care provided to patients with long-term opioid therapy, increased collaboration among clinicians and staff, improved ability to respond to external administrative requests, improved relationships with patients using long-term opioid therapy, and an overall decrease in stress. CONCLUSIONS: Clinicians and staff reported improvement in their work-life after implementing the Six Building Blocks Program to improve opioid medication management. Further research is needed on patient experiences specific to practice redesign programs.