Evidence map›Paper›PMID 38349894›Full record

ArticlePloS one2024

Frameworks for measuring population health: A scoping review.

Sze Ling Chan, Clement Zhong Hao Ho, Nang Ei Ei Khaing, Ezra Ho, Candelyn Pong, Jia Sheng Guan, Calida Chua, Zongbin Li, Trudi Lim, Sean Shao Wei Lam and 2 more

Abstract readScoping Review
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sze Ling ChanHealth Services Research Centre, SingHealth, Singapore, Singapore.ORCID 0000-0003-4272-4595
Clement Zhong Hao HoCentre for Population Health Research and Implementation, SingHealth Regional Health System, Singapore, Singapore.
Nang Ei Ei KhaingHealth Services Research, Changi General Hospital, Singapore, Singapore.
Ezra HoHealth Services Research, Changi General Hospital, Singapore, Singapore.ORCID 0000-0001-7707-2713
Candelyn PongHealth Services Research Centre, SingHealth, Singapore, Singapore.ORCID 0000-0002-4230-8754
Jia Sheng GuanSchool of Biological Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0009-0003-6489-9027
Calida ChuaCare and Health Integration, Changi General Hospital, Singapore, Singapore.
Zongbin LiPreventive Medicine Residency, National University Health System, Singapore, Singapore.
Trudi LimSchool of Computing and Information Systems, Singapore Management University, Singapore, Singapore.
Sean Shao Wei LamHealth Services Research Centre, SingHealth, Singapore, Singapore.ORCID 0000-0002-0898-5858
Lian Leng LowHealth Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
Choon How HowSingHealth Duke-NUS Family Medicine Academic Clinical Program, Singapore, Singapore.

Funding

the National Medical Research Council (NMRC) through the SingHealth PULSES II Centre CG21APR1013
6 · The paper itself

Abstract

introductionMany regions in the world are using the population health approach and require a means to measure the health of their population of interest. Population health frameworks provide a theoretical grounding for conceptualization of population health and therefore a logical basis for selection of indicators. The aim of this scoping review was to provide an overview and summary of the characteristics of existing population health frameworks that have been used to conceptualize the measurement of population health.

methodsWe used the Population, Concept and Context (PCC) framework to define eligibility criteria of frameworks. We were interested in frameworks applicable for general populations, that contained components of measurement of health with or without its antecedents and applied at the population level or used a population health approach. Eligible reports of eligible frameworks should include at least domains and subdomains, purpose, or indicators. We searched 5 databases (Pubmed, EMBASE, Web of Science, NYAM Grey Literature Report, and OpenGrey), governmental and organizational sites on Google and websites of selected organizations using keywords from the PCC framework. Characteristics of the frameworks were summarized descriptively and narratively.

resultsFifty-seven frameworks were included. The majority originated from the US (46%), Europe (23%) and Canada (19%). Apart from 1 framework developed for rural populations and 2 for indigenous populations, the rest were for general urban populations. The numbers of domains, subdomains and indicators were highly variable. Health status and social determinants of health were the most common domains across all frameworks. Different frameworks had different priorities and therefore focus on different domains.

conclusionKey domains common across frameworks other than health status were social determinants of health, health behaviours and healthcare system performance. The results in this review serve as a useful resource for governments and healthcare organizations for informing their population health measurement efforts.

Indexed as

Delivery of Health CareCanadaEuropeHumans

Identifiers

PMID38349894
PMCPMC10863900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.