Introduction: Colonoscopy is a critical component of colorectal cancer (CRC) screening and patient navigation (PN) improves colonoscopy completion. A lay navigator remotely providing navigation across rural primary care organizations (PCOs) could increase PN access. In preparation for the Colonoscopy Outreach for Rural Communities (CORC) study, we examined partners' perspectives on contextual factors that could influence CORC program implementation, and adaptations to mitigate potential barriers.
View Article and Find Full Text PDFResearch at the intersection of human-computer interaction (HCI) and health is increasingly done by collaborative cross-disciplinary teams. The need for cross-disciplinary teams arises from the interdisciplinary nature of the work itself-with the need for expertise in a health discipline, experimental design, statistics, and computer science, in addition to HCI. This work can also increase innovation, transfer of knowledge across fields, and have a higher impact on communities.
View Article and Find Full Text PDFBackground: Colonoscopy is one of the primary methods of screening for colorectal cancer (CRC), a leading cause of cancer mortality in the United States. However, up to half of patients referred to colonoscopy fail to complete the procedure, and rates of adherence are lower in rural areas.
Objectives: Colonoscopy Outreach for Rural Communities (CORC) is a randomized controlled trial to test the effectiveness of a centralized patient navigation program provided remotely by a community-based organization to six geographically distant primary care organizations serving rural patients, to improve colonoscopy completion for CRC.
Introduction: Opioid overdose deaths are increasing rapidly in the United States. Medications for opioid use disorder (MOUD) are effective and can be delivered in primary care, but uptake has been limited in rural communities. Referral to and coordination with an external telemedicine (TM) vendor by rural primary care clinics for MOUD (TM-MOUD) may increase MOUD access for rural patients, but we know little about perspectives on this model among key stakeholders.
View Article and Find Full Text PDFBackground And Aims: International Classification of Diseases (ICD) diagnosis codes are often used in research to identify patients with opioid use disorder (OUD), but their accuracy for this purpose is not fully evaluated. This study describes application of ICD-10 diagnosis codes for opioid use, dependence and abuse from an electronic health record (EHR) data extraction using data from the clinics' OUD patient registries and clinician/staff EHR entries.
Design: Cross-sectional observational study.