Factors associated with high vs. low implementation of Medicare's chronic care management programme in Wyoming primary care practices.

aimTo identify key factors associated with varying levels of Medicare's Chronic Care Management (CCM) programme implementation in rural primary care practices in the United States.

backgroundDespite demonstrated benefits for both patients and providers, CCM implementation remains low nationwide. While previous studies have examined payment-related challenges, limited research exists on other implementation factors such as leadership engagement, organizational culture, and provider training, particularly in rural settings.

methodsThis mixed-methods study examined CCM implementation across six rural primary care practices in Wyoming. Thirteen healthcare professionals participated in semi-structured interviews guided by the Consolidated Framework for Implementation Research (CFIR). Practice performance data collected over three consecutive months were used to categorize sites as high or low implementers based on care coordinator productivity, percentage of care coordinated, and programme sustainability. Interview transcripts were analysed using CFIR constructs to identify factors that distinguished high from low-implementing sites, with each factor rated based on its impact (positive, negative, or neutral) and strength of influence.

findingsThree CFIR constructs strongly distinguished between high and low implementation sites: networks and communication, leadership engagement, and reflecting and evaluating. High-implementing sites demonstrated effective team communication, supportive leadership, and regular programme evaluation practices. In contrast, low-performing sites faced poor communication, minimal leadership support, and weak feedback mechanisms. Further research is needed to examine the effectiveness of targeted interventions designed to strengthen these organizational factors in rural primary care settings, particularly focusing on developing scalable strategies that account for resource limitations and geographic isolation.