ArticleEGEMS (Washington, DC)2014
Population health measurement: applying performance measurement concepts in population health settings.
Article in EGEMS (Washington, DC), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What's Measured Is Not Necessarily What Matters: A Cautionary Story from Public Health.Healthcare policy = Politiques de sante · 2016Pooled it
- Methodological Considerations in Scale Refinement with Diverse Populations: A Case Example Using the CES-D with a Community Sample of American Indian Women.Issues in mental health nursing · 2022Article
- De novo assembly provides new insights into the evolution of Elaeagnus angustifolia L.Plant methods · 2022Article
- A Performance Management System in Healthcare for All Seasons?International journal of environmental research and public health · 2020Article
- What is meant by validity in maternal and newborn health measurement? A conceptual framework for understanding indicator validation.PloS one · 2020Article
- Factors in implementing integrated care… a duty to collaborate?Integrated healthcare journal · 2020Review
- Indicators for evaluating European population health: a Delphi selection process.BMC public health · 2018Article
- A proposed national research and development agenda for population health informatics: summary recommendations from a national expert workshop.Journal of the American Medical Informatics Association : JAMIA · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWhether the focus of population-health improvement efforts, the measurement of health outcomes, risk factors, and interventions to improve them are central to achieving collective impact in the population health perspective. And because of the importance of a shared measurement system, appropriate measures can help to ensure the accountability of and ultimately integrate the efforts of public health, the health care delivery sector, and other public and private entities in the community to improve population health. Yet despite its importance, population health measurement efforts in the United States are poorly developed and uncoordinated. COLLABORATIVE MEASUREMENT DEVELOPMENT: To achieve the potential of the population health perspective, public health officials, health system leaders, and others must work together to develop sets of population health measures that are suitable for different purposes yet are harmonized so that together they can help to improve a community's health. This begins with clearly defining the purpose of a set of measures, distinguishing between outcomes for which all share responsibility and actions to improve health for which the health care sector, public health agencies, and others should be held accountable. FRAMEWORK FOR POPULATION HEALTH MEASUREMENT: Depending on the purpose of the analysis, then, measurement systems should clearly specify what to measure-in particular the population served (the denominator), what the critical health dimensions are in a measurement framework, and how the measures can be used to ensure accountability. Building on a clear understanding of the purpose and dimensions of population health that must be measured, developers can then choose specific measures using existing data or developing new data sources if necessary, with established validity, reliability, and other scientific characteristics. Rather than indiscriminately choosing among the proliferating data streams, this systematic approach to measure development can yield measurement systems that are more appropriate and useful for improving population health.
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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.