The TeamSTEPPS for Improving Diagnosis Team Assessment Tool: Scale Development and Psychometric Evaluation.

INTRODUCTION: One in three patients is affected by diagnosis-related communication failures. Only a few valid and reliable instruments that measure teamwork and communication exist, and none of those focus on improving diagnosis. The authors developed, refined, and psychometrically evaluated the TeamSTEPPSⓇ for Improving Diagnosis Team Assessment Tool (TAT), which assesses diagnostic teamwork and communication in five critical teamwork domains and can be used to identify strengths and opportunities for improvement and monitor performance. METHODS: The TAT was administered as a cross-sectional survey to 360 health professionals across nine diverse US health systems. Content and construct validity were evaluated through pilot implementation and subject matter expert review. Reliability and internal consistency were assessed with Cronbach's alpha. To understand sources of variation in TAT scores and assess the tool's consistency across diverse health care organizations, generalizability theory (G-theory) was used. Best practices in screening for careless responding identified participants with random or nonvarying responses. RESULTS: Analyses indicated strong support for the tool. Content validity findings indicated that the TAT encompassed relevant diagnostic improvement teamwork and communication content. Construct validity, evaluated through pilot implementations, demonstrated the tool's effectiveness in assessing teamwork categories. Reliability analyses confirmed the TAT's internal consistency, with an overall Cronbach's alpha of 0.97. Each dimension of the TAT exhibited good reliability coefficients, ranging from 0.83 to 0.95. G-theory analysis showed that variations in TAT scores were primarily attributed to respondents (28.0%) and scale dimensions (59.6%); both are desirable facets of variation. Further, examination of careless respondents ensured the accuracy and quality of the results, enhancing the TAT's credibility as a valuable diagnostic improvement tool. CONCLUSION: Psychometric evaluation demonstrated that the TAT is a reliable and valid instrument for assessing teamwork and communication among and across diagnostic teams. The TAT adds a novel, evidence-based, psychometrically sound measurement tool to help advance diagnostic teamwork and communication to improve patient care and outcomes.

Learning Collaboratives: Insights And A New Taxonomy From AHRQ's Two Decades Of Experience.

Learning collaboratives are increasingly used as mechanisms to support and hasten the diffusion and implementation of innovation, clinical evidence, and effective models of care. Factors contributing to the collaboratives' success or failure are poorly understood. The Agency for Healthcare Research and Quality (AHRQ) has sponsored collaboratives for nearly two decades to support improvements in health care quality and value by accelerating the diffusion and implementation of innovation. We examined AHRQ's experience with these collaboratives to characterize their attributes, identify factors that might contribute to their success or failure, and assess the challenges they encountered. Building on the literature and insights from AHRQ's experience, we propose a taxonomy that can offer guidance to decision makers and funders about the factors they should consider in developing collaboratives and planning their evaluation, as well as to researchers who seek to conduct research that will ultimately help decision makers make better investments in diffusing innovation and evidence.