ArticleMedical care2024
Measuring the Well-Being of the Whole Person in Clinical Care, Health Research, and Population Health Evaluation: Findings and Recommendations From the XVIII Veterans Health Administration State of the Art Meeting.
Article in Medical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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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.
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Who cites it
4 citing papers in PubMed.
- Impact of veterans' military-to-civilian transition experiences on their longer-term mental health.Social psychiatry and psychiatric epidemiology · 2026Article
- Ten Healthcare Delivery Trends and Their Measurement and Methodological Implications for Cancer Health Services Research.Health services research · 2026Article
- Embedded Research in a Learning Health System: How a Research-Operations Partnership Informed the Development, Implementation, and Scaling of VA's Whole Health System.Learning health systems · 2026Article
- Measuring What Matters Most: Considering the Well-Being of the Whole Person in Health Care.Medical care · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesIn 2023, the U.S. Veterans Health Administration convened a State of the Art meeting to evaluate the existing evidence and make recommendations for measuring the well-being of the whole person in clinical care, health research, and population health evaluation. In this article, we describe findings and recommendations concerning each of these health care system functions, as well as key takeaways from the meeting as a whole.
backgroundThere has been a growing call for health care organizations to expand their focus beyond disease-based concepts to consider both positive aspects of health and indicators of well-being that extend beyond the health domain. Yet, knowledge remains limited regarding how best to integrate these types of measurements in clinical care, health research, and population health evaluation efforts.
methodState of the Art activities were organized into 3 workstreams, each focused on a core health care system function (clinical care, health research, and population health evaluation). Drawing from existing literature on the measurement of the well-being of the whole person in the assigned health care function, workgroups evaluated the existing state of knowledge and made recommendations for future work on well-being measurement in the health care setting.
resultsCross-cutting themes included: (1) difficulty evaluating the current state of knowledge due to varied use of terminology in this literature; (2) appreciation for the value of well-being measurement in each health care function; (3) need for additional research on the use and benefits of well-being measures, including their role as predictors and moderators of health and health care outcomes; (4) importance of ensuring that measures are applicable for diverse patient groups and adequately reflect the "patient voice;" and (5) need for additional leadership investment and resource allocation to support use of these measures in the health care setting.
conclusionsKnowledge from this meeting can be applied to enhance the use and application of measurement of well-being to improve patients' health and health care outcomes.
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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.