Teamwork measure relates to provider experience, burnout, and intent to stay.

OBJECTIVES: To develop a brief teamwork measure and determine how teamwork relates to provider experience, burnout, and work intentions. STUDY DESIGN: Survey of clinicians. METHODS: We analyzed data from Optum's 2019 biannual clinician survey, including a validated burnout measure and measures of provider experience and intent to stay. A 6-item measure of team effectiveness (TEAM) focused on efficiency, communication, continuous improvement, and leadership. Construct validity was assessed with content, reliability, and correlation with burnout. Generalized estimating equations with robust SEs determined relationships among TEAM score, provider experience, and intent to stay, controlling for demographics, clustering, and practice factors. RESULTS: Of 1500 physicians and advanced practice clinicians (1387 with complete data; response rate 56%), there were 58% in primary care; 57% were women, and 38% identified as Asian, Black/Hispanic, or another race/ethnicity other than White non-Hispanic. Burnout was present in 30%. The Cronbach α was excellent (0.86), and TEAM correlated with the validated burnout measure (adjusted odds ratio [OR] of lower burnout with high TEAM score, 0.28; 95% CI, 0.19-0.40; P < .0001). Clinicians with TEAM scores of at least 4 were more likely to have positive provider experiences (79% favorable vs 24% with low TEAM score; P < .001), had lower burnout rates (17% vs 44%%; P < .001), and more often intended to stay (93% vs 65%; P < .001). TEAM index score was strongly associated with provider experience (adjusted OR, 11.72; 95% CI, 8.11-16.95; P < .001) and intent to stay (adjusted OR, 7.24; 95% CI, 5.34-9.83; P < .001). CONCLUSIONS: The TEAM index is related to provider experience, burnout, and intent to stay, and it may help organizations optimize clinical work environments.

Seeking Consensus on the Terminology of Value-Based Transformation Through use of a Delphi Process.

Collaboration among diverse stakeholders involved in the value transformation of health care requires consistent use of terminology. The objective of this study was to reach consensus definitions for the terms value-based care, value-based payment, and population health. A modified Delphi process was conducted from February 2017 to July 2017. An in-person panel meeting was followed by 3 rounds of surveys. Panelists anonymously rated individual components of definitions and full definitions on a 9-point Likert scale. Definitions were modified in an iterative process based on results of each survey round. Participants were a panel of 18 national leaders representing population health, health care delivery, academic medicine, payers, patient advocacy, and health care foundations. Main measures were survey ratings of definition components and definitions. At the conclusion of round 3, consensus was reached on the following definition for value-based payment, with 13 of 18 panelists (72.2%) assigning a high rating (7- 9) and 1 of 18 (5.6%) assigning a low rating (1-3): "Value-based payment aligns reimbursement with achievement of value-based care (health outcomes/cost) in a defined population with providers held accountable for achieving financial goals and health outcomes. Value-based payment encourages optimal care delivery, including coordination across healthcare disciplines and between the health care system and community resources, to improve health outcomes, for both individuals and populations." The iterative process elucidated specific areas of agreement and disagreement for value-based care and population health but did not reach consensus. Policy makers cannot assume uniform interpretation of other concepts underlying health care reform efforts.