Evidence map›Paper›PMID 39804885›Full record

ArticlePloS one2025

Development and validation of the Health Segment Classification of Population Encompassed within Singapore (HealthSCOPES) framework.

Ian Yi Han Ang, Nabilah Rahman, Shing Hei Wong, Sheryl Hui-Xian Ng, Kyle Xin Quan Tan, Ke Xin Eh, Zheng Jye Ling, Andrea Su En Lim, Kelvin Bryan Tan, Sue Anne Toh

Erratum issuedAbstract readValidation Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Ian Yi Han AngSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-1124-3764
Nabilah RahmanSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-0279-3169
Shing Hei WongRegional Health System Office, National University Health System, Singapore, Singapore.
Sheryl Hui-Xian NgHealth Services and Outcomes Research, National Healthcare Group, Singapore, Singapore.
Kyle Xin Quan TanSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Ke Xin EhRegional Health System Office, National University Health System, Singapore, Singapore.
Zheng Jye LingSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-9584-4473
Andrea Su En LimRegional Health System Office, National University Health System, Singapore, Singapore.
Kelvin Bryan TanMinistry of Health, Singapore, Singapore.
Sue Anne TohRegional Health System Office, National University Health System, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe population is heterogeneous with varying levels of healthcare needs. Clustering individuals into health segments with more homogeneous healthcare needs allows for better understanding and monitoring of health profiles in the population, which can support data-driven resource allocation.

methodsUsing the developed criteria, data from several of Singapore's national administrative datasets were used to classify individuals into the various health segments. Cross-sectional analysis of healthcare utilization charges was conducted. Validation was done for the framework's prognostic ability of clinically relevant outcomes measured in the following year.

resultsThe framework is comprised of twelve segments classed within four broad groups. The segments comprising individuals with cancer, with transitional care needs, and in the last year of their lives had the highest mean per resident healthcare charges. The segments comprising adults and seniors with complex chronic conditions and with transitional care needs had the highest percentage of individuals historically diagnosed with obesity. The framework was able to distinguish varying tiers of healthcare utilization charges and relative risk of death in the following year. DISCUSSION: The framework was developed using a hybrid approach, with expert input and comprehensive national data that extended beyond the usual hospital patient population. The framework can be directly applied for use in program or policy design, evaluation, and cost-effectiveness analyses.

conclusionThe HealthSCOPES framework was developed to segment the entire population in Singapore with similar healthcare needs.

Indexed as

Population HealthAdolescentAdultAgedAged, 80 and overChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedSingaporeYoung Adult

Identifiers

PMID39804885
PMCPMC11729946

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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.