Medications for opioid use disorder in rural primary care practices: Patient and provider experiences.

INTRODUCTION: The opioid epidemic has exacted a significant toll in rural areas, yet adoption of medications for opioid use disorder (MOUD) lags. The Rural Access to Medication Assisted Treatment in Pennsylvania (RAMP) Project facilitated adoption of MOUD in rural primary care clinics. The purpose of this study was to gain a better understanding of the barriers and facilitators operating at multiple levels to access or provide MOUD in rural Pennsylvania. METHODS: In total, the study conducted 35 semi-structured interviews with MOUD patients and MOUD providers participating in RAMP. Qualitative analysis incorporated both deductive and inductive approaches. The study team coded interviews and performed thematic analysis. Using a modified social-ecological framework, themes from the qualitative interviews are organized in five nested levels: individual, interpersonal, health care setting, community, and public policy. RESULTS: Patients and providers agreed on many barriers (e.g., lack of providers, lack of transportation, insufficient rapport and trust in patient-provider relationship, and cost, etc.); however, their interpretation of the barrier, or indicated solution, diverged in meaningful ways. Patients described their experiences in broad terms pointing to the social determinants of health, as they highlighted their lives outside of the therapeutic encounter in the clinic. Providers focused on their professional roles, responsibilities, and operations within the primary care setting. CONCLUSIONS: Providers may want to discuss barriers to treatment related to social determinants of health with patients, and pursue partnerships with organizations that seek to address those barriers. The findings from these interviews point to potential opportunities to enhance patient experience, increase access to and optimize processes for MOUD in rural areas, and reduce stigma against people with opioid use disorder (OUD) in the wider community.

Strategies to recruit rural primary care providers to implement a medication for opioid use disorder (MOUD) focused integrated care model.

Background: Access to providers and programs that provide medications for opioid use disorder (MOUD) remains a systemic barrier for patients with opioid use disorder (OUD), particularly if they live in rural areas. The Rural Access to Medication Assisted Treatment (MAT) in Pennsylvania Project (Project RAMP) addressed this problem with a multisystem partnership that recruited, trained, and supported rural primary care providers to provide MOUD and implement an integrated care model (ICM) for patients with OUD. Given the demonstrated efficacy of Project RAMP, this article summarizes our recruitment strategies, including feasibility concerns for further expansion into other regions. Methods: The approach for recruiting implementation sites included two phases: partner outreach and site identification. Once recruited, the Systems Transformation Framework guided planning and implementation activities. Recruitment and implementation activities were assessed with implementation trackers and evaluated by providers via key informant interviews (KIIs). Results: Project RAMP recruited 26 primary care practices from 13 counties, including nine health systems and two private practice groups-exceeding the original target of 24 sites. There was a median of 49 days from first contact to project onboarding. A total of 108 primary care practices spanning 22 health systems declined participation. Findings from the KIIs highlighted the value of engaging PCPs by connecting to a shared vision (i.e., improving the quality of patient care) as well as addressing perceived participation barriers (e.g., offering concierge technical assistance to address lack of training or resources). Conclusion: Findings highlight how successful recruitment activities should leverage the support of health system leadership. Findings also emphasize that aiding recruitment and engagement efforts successfully addressed prescribers' perceived barriers to providing MOUD as well as facilitating better communication among administrators, PCPs, behavioral health professionals, care managers, and patients.Plain Language Summary: Opioid use disorder (OUD) is one of the leading causes of preventable illness and death. The standard of care for OUD is the provision of medications for opioid use disorder (MOUD) and the application of an integrative integrated care model (ICM) where behavioral health is blended with specialized medical services. Unfortunately, access to providers and healthcare facilities that provide MOUD or apply an ICM remains a systemic barrier for patients with OUD, particularly if they live in rural areas. Although there is no one-size-fits-all approach to implementing MOUD in primary care, findings from Project The Rural Access to Medication Assisted Treatment (MAT) in Pennsylvania Project (Project RAMP) highlight strategies that may improve future MOUD and ICM implementation efforts in similar rural contexts. Specifically, future efforts to increase MOUD capacity by recruiting new providers should be prepared to leverage health system leadership, address provider barriers via training and expert consultation, and facilitate connections to local behavioral health providers. This approach may be helpful to others recruiting health systems and primary care practices to implement new care models to use MOUD in treating patients with OUD.

Recruitment of population-based controls for ALS cases from the National ALS Registry.

Objective: In 2010, the United States Agency for Toxic Substances and Disease Registry (ATSDR) created the National ALS Registry (Registry) to examine the epidemiology of ALS and potential risk factors. We are currently recruiting population-based controls for an epidemiologic case-control study to examine ALS environmental risk factors using this Registry. To date, we have recruited 181 non-diseased, population-based controls for comparison to Registry cases (n = 280). Here we report our recruitment methods for controls and the associated response rates and costs. Methods: Eligible ALS cases had complete risk factor survey data, DNA analysis, and blood concentrations of persistent organic pollutants (POPs). Age, sex, and county-matched controls were identified from commercial/consumer databases using a targeted landline phone sample. Eligible controls were consented, surveyed, and mailed the POPs' blood analysis consent form. Once consented, phlebotomy was scheduled. Results: We mailed 3760 recruitment letters for 181 potential case-matches across 42 states between 9/2018 and 3/2020. After making phone contact and determining eligibility, 146 controls agreed to participate (response rate = 11.4%, cooperation rate = 22.8%). To date, 127 controls completed the survey and bloodwork. Though controls were matched to cases on age, sex, and county, unmatched characteristics (e.g. smoking) did not differ statistically. Interviewing and incentive costs are estimated at $211.85 per complete participation. Conclusions: Recruiting matched population-based controls for comparison to cases from the Registry for a study involving completion of a detailed survey and blood specimen provision is relatively feasible and cost effective. This recruitment method could be useful for case-control studies of other rare disorders.

An Alternative Technique for Youth Risk Surveillance Outside of the School System.

PURPOSE: When school districts choose not to participate in adolescent health behavior surveys, tracking adolescent health indicators can be challenging. We conducted a countywide youth behavior survey outside of the school system. Our purpose is to describe alternative methods used for gathering these data reliably and ethically. METHODS: We implemented two parallel surveys with youth ages 14-19 residing in a mid-sized county with urban, suburban, and rural neighborhoods. An anonymous phone-based survey used computer-assisted telephone interviewing with a live interviewer in conjunction with an interactive voice response system to survey youth via random digit dialing of landlines and cell phones. A concurrent in-person anonymous survey was conducted with marginalized youth (from juvenile detention centers, shelters, and residential facilities), using audio computer-assisted self-interviewing technology. The survey measures included the Centers for Disease Control Youth Risk Behavior Surveillance System and additional questions about social supports, neighborhood, and adverse childhood experiences. RESULTS: Data were collected between February and December 2014. The phone-based sample recruited 1813 participants; the marginalized sample included 262 youth. Several strategies ensured anonymity and reduced coercion. The final phone-based sample was similar to demographics of the county population. The marginalized youth sample captured out-of-home youth who may have been missed with phone-based sampling alone. CONCLUSIONS: We review alternative strategies for obtaining population-based adolescent health data without the cooperation of schools. These techniques can provide a basis to collect data that may help direct resources and policies relevant to needs of local youth.

A Survey of Residents' Perceptions of the Effect of Large-Scale Economic Developments on Perceived Safety, Violence, and Economic Benefits.

BACKGROUND: Emerging research highlights the promise of community- and policy-level strategies in preventing youth violence. Large-scale economic developments, such as sports and entertainment arenas and casinos, may improve the living conditions, economics, public health, and overall wellbeing of area residents and may influence rates of violence within communities. OBJECTIVE: To assess the effect of community economic development efforts on neighborhood residents' perceptions on violence, safety, and economic benefits. METHODS: Telephone survey in 2011 using a listed sample of randomly selected numbers in six Pittsburgh neighborhoods. Descriptive analyses examined measures of perceived violence and safety and economic benefit. Responses were compared across neighborhoods using chi-square tests for multiple comparisons. Survey results were compared to census and police data. RESULTS: Residents in neighborhoods with the large-scale economic developments reported more casino-specific and arena-specific economic benefits. However, 42% of participants in the neighborhood with the entertainment arena felt there was an increase in crime, and 29% of respondents from the neighborhood with the casino felt there was an increase. In contrast, crime decreased in both neighborhoods. CONCLUSIONS: Large-scale economic developments have a direct influence on the perception of violence, despite actual violence rates.