ArticlePloS one2025
Measure what matters: A survey-based examination of health equity tracking and measurement practices across healthcare systems in the United States.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Value operating system: a practical framework to measure outcomes-per-cost at the episode level.BMJ open quality · 2026Article
- Modern teaching for clinical education involving manual therapy: a 6-pillar approach.Chiropractic & manual therapies · 2026Review
- Editorial: Equity in cancer prevention and early detection.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objectives of this study were to understand how healthcare systems are incorporating equity into performance measurement and to uncover trends that inform healthcare systems' efforts to advance equity. A national cross-sectional survey was designed and administered during Spring 2022 to evaluate organizational efforts to track and measure health equity. The survey examined clinical and non-clinical health equity metrics/indicators tracked at the executive-level. We identified variation in how health equity is measured. Of the 27 respondents, seven (25.9%) were in the planning phase, nine (33.3%) were in early implementation, seven (25.9%) had practices implemented for one to two years, and four (14.8%) had practices implemented for three or more years. Most systems were tracking clinical metrics and evaluating metrics across subpopulations. Metrics related to chronic disease management and preventive care were mentioned most frequently (23.6% and 16.0%, respectively). Race/ethnicity was the most utilized demographic filter to evaluate equity. Systems at later stages of implementation were tracking fewer metrics, yet many systems were still in early stages of implementation. Health systems need specific and pragmatic guidance to develop and implement equity measures tracked at the executive level. Insights from current health system initiatives can help inform guidelines from national quality organizations for disparity reduction in clinical outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.