Exploring Healthcare Provider Recruitment in a Rural and Frontier Community in Northern Idaho.

Limited U.S. research has been conducted examining factors affecting healthcare provider recruitment in rural settings, necessitating community-level investigations due to community differences. The aim of this study was to explore the factors involved in healthcare provider recruitment in a rural community in Northern Idaho. A retooled version of the Nursing Community Apgar Questionnaire (NCAQ) was used to collect data from 50 healthcare providers to assess items influencing provider recruitment. Items were categorized into five factors: geographic, economic, scope of practice, medical support, and facility and community support classes. Healthcare providers ranked items based on perceived importance and how advantageous or challenging it was to recruitment. A "Community Apgar" score is a composite score calculated using the advantage/challenge and importance scores. In our sample, medical support was rated as the most important class. Additionally, facility and community support was rated as the highest advantage class and had the most impactful Apgar scores, meaning it contained the most important advantage and challenge. Our findings suggest that these classes contain dominant factors related to the recruitment of providers in rural areas. Rural healthcare organizations seeking to improve the recruitment of healthcare providers should consider the potential impact of these factors on their population. Further investigations should be conducted on diverse rural samples across the U.S. to enable comparisons of research findings.

Exploring healthcare provider retention in a rural and frontier community in Northern Idaho.

BACKGROUND: A shortage of healthcare providers, particularly in primary care and mental health, exists in the predominately rural state of Idaho. There are also barriers to retaining healthcare providers to work in rural and remote communities. Limited research using U.S. samples has explored factors that may affect the retention of healthcare providers in rural areas. Additionally, due to differences between communities, it is important to conduct community-level investigations to better understand how these factors may affect retention in rural areas. Therefore, the purpose of this study was to explore factors affecting healthcare provider retention in a rural community in Northern Idaho. METHODS: A modified version of the Nursing Community Apgar Questionnaire (NCAQ) was completed by 30 healthcare providers in a rural and frontier community in Northern Idaho to assess factors influencing healthcare provider retention. Factors were classified into classes including geographic, economic, scope of practice, medical support, and facility and community support classes. Retention factors were assessed on their perceived importance to retention as well as whether they were perceived as an advantage or challenge to retention based on Likert scales. A "Community Apgar" score was also created by combining the importance and advantage/challenge factors. RESULTS: Overall, items in the medical support group had the highest importance of any other class and included factors such as nursing workforce. Additionally, the facility and community support class, which included factors such as televideo support, was rated the highest advantage class and had the highest Apgar score, indicating it contained the factor that healthcare providers identified as the most important advantage (i.e., medical reference resources). CONCLUSION: Our study identified multiple factors that healthcare providers deemed as important advantages or disadvantages to retaining healthcare providers in rural areas. Overall, facility and community support factors were found to have the highest advantage in the retention of rural providers. Rural healthcare organizations looking to increase healthcare provider retention should target retention efforts towards these factors. Additional research should also be conducted on other rural samples across the U.S. to make comparisons of findings.

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.

Trust Dynamics of Community Health Workers in Frontier Food Banks and Pantries: a Qualitative Study.

BACKGROUND: Medical mistrust has had devastating consequences during the COVID-19 pandemic, particularly in rural communities. Community Health Workers (CHWs) have been shown to build trust, but there is little research on trust-building by CHWs in rural communities. OBJECTIVE: This study aims to understand the strategies that CHWs use to build trust with participants of health screenings in frontier Idaho. DESIGN: This is a qualitative study based on in-person, semi-structured interviews. PARTICIPANTS: We interviewed CHWs (N=6) and coordinators of food distribution sites (FDSs; e.g., food banks and pantries) where CHWs hosted a health screening (N=15). APPROACH: Interviews were conducted with CHWs and FDS coordinators during FDS-based health screenings. Interview guides were initially designed to assess facilitators and barriers to health screenings. Trust and mistrust emerged as dominant themes that determined nearly every aspect of the FDS-CHW collaboration, and thus became the focus of interviews. KEY RESULTS: CHWs encountered high levels of interpersonal trust, but low institutional and generalized trust, among the coordinators and clients of rural FDSs. When working to reach FDS clients, CHWs anticipated confronting mistrust due to their association with the healthcare system and government, especially if CHWs were perceived as "outsiders." Hosting health screenings at FDSs, which were trusted community organizations, was important for CHWs to begin building trust with FDS clients. CHWs also volunteered at FDS locations to build interpersonal trust before hosting health screenings. Interviewees agreed that trust building was a time- and resource-intensive process. CONCLUSIONS: CHWs build interpersonal trust with high-risk rural residents, and should be integral parts of trust building initiatives in rural areas. FDSs are vital partners in reaching low-trust populations, and may provide an especially promising environment to reach some rural community members. It is unclear whether trust in individual CHWs also extends to the broader healthcare system.

Population Health Innovations and Payment to Address Social Needs Among Patients and Communities With Diabetes.

Policy Points Population health efforts to improve diabetes care and outcomes should identify social needs, support social needs referrals and coordination, and partner health care organizations with community social service agencies and resources. Current payment mechanisms for health care services do not adequately support critical up-front investments in infrastructure to address medical and social needs, nor provide sufficient incentives to make addressing social needs a priority. Alternative payment models and value-based payment should provide up-front funding for personnel and infrastructure to address social needs and should incentivize care that addresses social needs and outcomes sensitive to social risk. CONTEXT: Increasingly, health care organizations are implementing interventions to improve outcomes for patients with complex health and social needs, including diabetes, through cross-sector partnerships with nonmedical organizations. However, fee-for-service and many value-based payment systems constrain options to implement models of care that address social and medical needs in an integrated fashion. We present experiences of eight grantee organizations from the Bridging the Gap: Reducing Disparities in Diabetes Care initiative to improve diabetes outcomes by transforming primary care and addressing social needs within evolving payment models. METHODS: Analysis of eight grantees through site visits, technical assistance calls, grant applications, and publicly available data from US census data (2017) and from Health Resources and Services Administration Uniform Data System Resources data (2018). Organizations represent a range of payment models, health care settings, market factors, geographies, populations, and community resources. FINDINGS: Grantees are implementing strategies to address medical and social needs through augmented staffing models to support high-risk patients with diabetes (e.g., community health workers, behavioral health specialists), information technology innovations (e.g., software for social needs referrals), and system-wide protocols to identify high-risk populations with gaps in care. Sites identify and address social needs (e.g., food insecurity, housing), invest in human capital to support social needs referrals and coordination (e.g., embedding social service employees in clinics), and work with organizations to connect to community resources. Sites encounter challenges accessing flexible up-front funding to support infrastructure for interventions. Value-based payment mechanisms usually reward clinical performance metrics rather than measures of population health or social needs interventions. CONCLUSIONS: Federal, state, and private payers should support critical infrastructure to address social needs and incentivize care that addresses social needs and outcomes sensitive to social risk. Population health strategies that address medical and social needs for populations living with diabetes will need to be tailored to a range of health care organizations, geographies, populations, community partners, and market factors. Payment models should support and incentivize these strategies for sustainability.