Evidence map›Paper›PMID 41272945›Full record

ArticleJournal of hospital medicine2026

Pilot implementation and evaluation of a social risk screening tool for hospitalised patients in Singapore.

Orlanda Q M Goh, Poh Yong Tan, Tse Yean Teo, Rachel Peh, Jeanne Ng, Aaron Chua, Xuling Lin, Tharmmambal Balakrishnan, Nicholas Graves, Mei Ling Kang and 1 more

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

11 authors.

Orlanda Q M GohDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8423-2703
Poh Yong TanDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.
Tse Yean TeoDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8078-2839
Rachel PehDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.
Jeanne NgDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.
Aaron ChuaDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0003-1946-8554
Xuling LinDepartment of Neurology, National Neuroscience Institute, Singapore, Singapore.ORCID https://orcid.org/0000-0001-9551-7659
Tharmmambal BalakrishnanDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.
Nicholas GravesProgramme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
Mei Ling KangDepartment of Internal Medicine, Singapore General Hospital, Singapore, Singapore.
Xiaohui XinHealth Services Research Unit, Singapore General Hospital, Singapore, Singapore.

Funding

None
6 · The paper itself

Abstract

backgroundRoutine in-hospital screening of social risk factors linked with poor health outcomes is not done in Singapore, where an aging population pays for 25% healthcare costs out-of-pocket despite universal coverage.

objectiveWe developed and implemented a social risk screening tool for hospitalised patients and reported the association between higher social risk and length of stay (LOS) and hospitalisation costs.

methodsThe tool aimed to reveal variation in social risk among patients admitted to medical wards between October and December 2022. Sociodemographic data, medical co-morbidities, and frailty scores were recorded. Multivariable negative binomial regression and Poisson regression assessed the association between higher social risk (risk score above cohort median), and LOS and LOS > 21 days, respectively. A parsimonious multivariable generalised linear model (GLM) modeled the association with direct health costs.

resultsAmong 320 patients (median age 75, interquartile range [IQR]: 65-83), 80% were Chinese and 65% female. A total of 33% had higher social risk (>2 social risk factors). They were more likely to be male (50% vs. 27%), frail (66% vs. 50%), and have ≥4 chronic conditions (54% vs. 32%). Higher social risk was associated with a 48% longer LOS (incidence rate ratio: 1.48, confidence interval [CI]: 1.20-1.81), a relative risk of 1.69 (CI: 0.95-3.00) for LOS > 21 days, and $3545 (range: $397-16,718) in added hospitalisation costs per admission. Patients admitted to our unit with higher social risk cost an additional $25 million (range: 2.8-119 million) in 2022.

conclusionsProspective screening of social risk for hospitalised patients can help health systems identify patients with higher social needs and prioritise equitable resource allocation.

Indexed as

HospitalizationLength of StayMass ScreeningAgedAged, 80 and overFemaleHumansMalePilot ProjectsRisk AssessmentRisk FactorsSingapore

Identifiers

PMID41272945
PMCPMC13136922

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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.