Background The purpose of this article is to illustrate the application of an evidence-based, structured performance measurement methodology to identify, prioritize, and (when appropriate) generate new measures of health care quality, using primary care as a case example. Primary health care is central to the health care system and health of the American public; thus, ensuring high quality is essential. Due to its complexity, ensuring high-quality primary care requires measurement frameworks that can assess the quality of the infrastructure, workforce configurations, and processes available. This paper describes the use of the Productivity Measurement and Enhancement System (ProMES) to compile a targeted set of such measures, prioritized according to their contribution and value to primary care. Methods We adapted ProMES to select and rank existing primary care measures according to value to the primary care clinic. Nine subject matter experts (SMEs) consisting of clinicians, hospital leaders and national policymakers participated in facilitated expert elicitation sessions to identify objectives of performance, corresponding measures, and priority rankings. Results The SMEs identified three fundamental objectives: access, patient-health care team partnerships, and technical quality. The SMEs also selected sixteen performance indicators from the 44 pre-vetted, currently existing measures from three different data sources for primary care. One indicator, Team 2-Day Post Discharge Contact Ratio, was selected as an indicator of both team partnerships and technical quality. Indicators were prioritized according to value using the contingency functions developed by the SMEs. Conclusion Our article provides an actionable guide to applying ProMES, which can be adapted to the needs of various industries, including measure selection and modification from existing data sources, and proposing new measures. Future work should address both logistical considerations (e.g., data capture, common data/programming language) and lingering measurement challenges, such as operationalizating measures to be meaningful and interpretable across health care settings.

Interprofessional collaboration (IPC) has been shown to improve healthcare quality and patient safety; however, formal interprofessional education (IPE) training is insufficient. The VA Quality Scholars (VAQS) program exists to develop interprofessional leaders and scholars in healthcare improvement. The purpose of this study was to examine the impact of integrating interprofessional healthcare learners and designing an interprofessional curriculum for the national VAQS program. VAQS alumni (graduates from 2001 to 2017) across eight national sites (n = 102 [53.1%]) completed a web-based survey to assess alumni perceptions of IPC skill development during the program and IPC skill utilization in their careers. Alumni from 2009 and earlier were physicians; alumni after 2009 came from diverse health professional backgrounds. Overall, IPC and teamwork was identified as the most used skill (n = 82, 70%) during their career. When comparing the pre-IPE period and the post-IPE period, post-IPE alumni identified IPC and teamwork as the area of greatest skill development (n = 38). Integrating interprofessional trainees and robust IPE curricula enhanced an established and successful quality improvement (QI) training program. VAQS alumni endorsed the importance of IPC skills during their careers. The VAQS program is an example of how health professionals can successfully learn IPC skills in healthcare QI.