Throughout the E&M cycle, PQM produces a variety of resources for committee members, measure developers/stewards, and the general public. This page features guidance documents and educational materials aimed at helping you understand the E&M process and evaluation criteria. Should you have any questions or require additional assistance, please reach out to [email protected].
Logic Model Guidance: Measure developers and stewards are required to submit a logic model depicting the relationships between structures and processes and the desired outcome for their measure. This guide explains the purpose of a logic model in the context of quality measurement, describes the elements of a logic model, and highlights common approaches, pitfalls, and mitigations for developing a visually effective logic model.
Closing Care Gaps: The Closing Care Gaps domain of the PQM Measure Evaluation Rubric is currently optional for measure endorsement and maintenance review. This document guides measure developers in understanding the domain’s intent, evaluation criteria using the PQM Measure Evaluation Rubric, and common pitfalls and mitigation strategies. It also supports efforts to reduce variations in health care and outcomes across subpopulations, promoting actionable, trustworthy measures.
2024 Measure Developer Workshop: In October 2024, the E&M team hosted a virtual measure developer workshop titled "What Good Looks Like: A Comprehensive Guide to Successful Measure Endorsement." This session was designed to equip developers and stewards with a thorough understanding of Battelle’s comprehensive strategy for measure endorsement and best practices for measure submissions. Developers and stewards are encouraged to reference the workshop materials including: 1) presentation slides with a detailed overview of each domain of the PQM Measure Evaluation Rubric—highlighting common pitfalls, mitigation strategies, and specific requirements for new and maintenance measures and tips for developers on how to effectively navigate the endorsement cycle, and 2) example measure submissions that illustrate to what degree responses in the form address each of the PQM Evaluation Rubric domains.
What Good Looks Like – Cost Measure Example: This example cost measure submission illustrates key components of a strong cost measure submission for endorsement. It aligns with the PQM Measure Evaluation Rubric and the cost measure guidance in the E&M Guidebook, providing measure developers with an understanding of the expectations for cost measure endorsement.
What Good Looks Like (Cost Measure)
Reliability Guidance: This guide explains the purpose of reliability in quality measurement and outlines various reliability tests and statistical methods at both the person/encounter level and the accountable entity level. It helps measure developers identify the most appropriate method for assessing reliability and evaluates mitigation strategies and trade-offs related to common challenges in reliability assessment.
Reliability Guidance2025 Measure Developer Workshop: In October 2025, the E&M team hosted a virtual measure developer workshop titled "Exploring the Science Behind the Scores: Methods, Cost, and Impact." The workshop covered methodological concepts of scientific acceptability—reliability, validity, and risk adjustment—as well as a framework for evaluating cost measures and estimating performance impacts using heuristics. Developers and stewards are encouraged to reference the workshop materials, including the presentation slides and recordings.
Day 1: Sessions discussed the cost and burden of quality measurement, performance gap and how to estimate impact using heuristics, and a framework for presenting and evaluating cost measures.
Day 2: Sessions reviewed guidance on reliability methodologies, validity best practices, and variability and innovation in risk adjustment.
Educational Webinars: The E&M team hosts quarterly educational webinars about E&M processes and procedures. Slides and recordings (if available) are included below as resources for all interested parties.