A Better Life: Factors that Help and Hinder Entry and Retention in MAT from the Perspective of People in Recovery.

Introduction: Opioid addiction and opioid-related overdoses and deaths are serious public health problems nationally and in West Virginia, in particular. Medication-assisted treatment (MAT) is an effective yet underutilized treatment for opioid use disorder (OUD).

Purpose: Research examining factors that help individuals succeed in MAT has been conducted from provider and program perspectives, but little research has been conducted from the perspective of those in recovery.

Evaluation of self-measured blood pressure monitoring in a southern rural West Virginia health system.

Introduction: At the time of the 2021 Behavioral Risk Factor Surveillance System survey, an estimated 32.3% of adults in the US and nearly half (43.4%, 776 000) of adults in West Virginia (WV) had hypertension.

Ensuring contact: calling rural Appalachian older adults during the COVID-19 epidemic.

Introduction: Older adults, especially those aged 85 years or older, remain at significantly higher risk for COVID-19. This group, along with those with pre-existing heart and lung disease and diabetes, have accounted for 80% of hospitalizations and an even higher percentage of COVID-19 related deaths in the USA. West Virginia, the only state in the USA located completely within Appalachia, has a higher percentage of elderly than all but two states in the nation.

Challenges of enforcing cell phone use while driving laws among police: a qualitative study.

Background: Cell phone use while driving laws do not appear to be heavily enforced in the USA. This study seeks to gain law enforcements' perspective and learn potential barriers to cell phone law enforcement.

Methods: Qualitative interviews (ie, focus groups) were conducted with officers (N=19) from five West Virginia law enforcement agencies.

Using i2b2 to Bootstrap Rural Health Analytics and Learning Networks.

We demonstrate that the open-source i2b2 (Informatics for Integrating Biology and the Bedside) data model can be used to bootstrap rural health analytics and learning networks. These networks promote communication and research initiatives by providing the infrastructure necessary for sharing data and insights across a group of healthcare and research partners. Data integration remains a crucial challenge in connecting rural healthcare sites with a common data sharing and learning network due to the lack of interoperability and standards within electronic health records.