Improving screening, treatment, and intervention for unhealthy alcohol use in primary care through clinic, practice-based research network, and health plan partnerships: Protocol of the ANTECEDENT study.

BACKGROUND: Unhealthy alcohol use (UAU) is a leading cause of morbidity and mortality in the United States, contributing to 95,000 deaths annually. When offered in primary care, screening, brief intervention, referral to treatment (SBIRT), and medication-assisted treatment for alcohol use disorder (MAUD) can effectively address UAU. However, these interventions are not yet routine in primary care clinics. Therefore, our study evaluates tailored implementation support to increase SBIRT and MAUD in primary care. METHODS: ANTECEDENT is a pragmatic implementation study designed to support 150 primary care clinics in Oregon adopting and optimizing SBIRT and MAUD workflows to address UAU. The study is a partnership between the Oregon Health Authority Transformation Center-state leaders in Medicaid health system transformation-SBIRT Oregon and the Oregon Rural Practice-based Research Network. We recruited clinics providing primary care in Oregon and prioritized reaching clinics that were small to medium in size (<10 providers). All participating clinics receive foundational support (i.e., a baseline assessment, exit assessment, and access to the online SBIRT Oregon materials) and may opt to receive tailored implementation support delivered by a practice facilitator over 12 months. Tailored implementation support is designed to address identified needs and may include health information technology support, peer-to-peer learning, workflow mapping, or expert consultation via academic detailing. The study aims are to 1) engage, recruit, and conduct needs assessments with 150 primary care clinics and their regional Medicaid health plans called Coordinated Care Organizations within the state of Oregon, 2) implement and evaluate the impact of foundational and supplemental implementation support on clinic change in SBIRT and MAUD, and 3) describe how practice facilitators tailor implementation support based on context and personal expertise. Our convergent parallel mixed-methods analysis uses RE-AIM (reach, effectiveness, adoption, implementation, maintenance). It is informed by a hybrid of the i-PARIHS (integrated Promoting Action on Research Implementation in Health Services) and the Dynamic Sustainability Framework. DISCUSSION: This study will explore how primary care clinics implement SBIRT and MAUD in routine practice and how practice facilitators vary implementation support across diverse clinic settings. Findings will inform how to effectively align implementation support to context, advance our understanding of practice facilitator skill development over time, and ultimately improve detection and treatment of UAU across diverse primary care clinics.

Standard practices for computerized clinical decision support in community hospitals: a national survey.

OBJECTIVE: Computerized provider order entry (CPOE) with clinical decision support (CDS) can help hospitals improve care. Little is known about what CDS is presently in use and how it is managed, however, especially in community hospitals. This study sought to address this knowledge gap by identifying standard practices related to CDS in US community hospitals with mature CPOE systems. MATERIALS AND METHODS: Representatives of 34 community hospitals, each of which had over 5 years experience with CPOE, were interviewed to identify standard practices related to CDS. Data were analyzed with a mix of descriptive statistics and qualitative approaches to the identification of patterns, themes and trends. RESULTS: This broad sample of community hospitals had robust levels of CDS despite their small size and the independent nature of many of their physician staff members. The hospitals uniformly used medication alerts and order sets, had sophisticated governance procedures for CDS, and employed staff to customize CDS. DISCUSSION: The level of customization needed for most CDS before implementation was greater than expected. Customization requires skilled individuals who represent an emerging manpower need at this type of hospital. CONCLUSION: These results bode well for robust diffusion of CDS to similar hospitals in the process of adopting CDS and suggest that national policies to promote CDS use may be successful.

Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study.

OBJECTIVE: Clinical decision support (CDS), defined broadly as patient-specific information and knowledge provided at the point of care, depends on a foundation of high quality electronic patient data. Little is known about how clinicians perceive the quality and value of data used to support CDS within an electronic health record (EHR) environment. METHODS: During a three-year research study, we collected ethnographic data from ten diverse organizations, including community hospitals, academic medical centers and ambulatory clinics. RESULTS: An in-depth analysis of the theme "data as a foundation for CDS" yielded a descriptive framework incorporating five subthemes related to data quality: completeness, accessibility, context specificity, accuracy, and reliability. CONCLUSION: We identified several multi-dimensional models that might be used to conceptualize data quality characteristics for future research. These results could provide new insights to system designers and implementers on the importance clinicians place on specific data quality characteristics regarding electronic patient data for CDS.

Studying the vendor perspective on clinical decision support.

In prior work, using a Rapid Assessment Process (RAP), we have investigated clinical decision support (CDS) in ambulatory clinics and hospitals. We realized that individuals in these settings provide only one perspective related to the CDS landscape, which also includes content vendors and electronic health record (EHR) vendors. To discover content vendors' perspectives and their perceived challenges, we modified RAP for industrial settings. We describe how we employed RAP, and show its utility by describing two illustrative themes. We found that while the content vendors believe they provide unique much-needed services, the amount of labor involved in content development is underestimated by others. We also found that the content vendors believe their products are resources to be used by practitioners, so they are somewhat protected from liability issues. To promote adequate understanding about these issues, we recommend a "three way conversation" among content vendors, EHR vendors, and user organizations.