ArticlePreventive medicine reports2015
Derivation of indices of socioeconomic status for health services research in Asia.
Article in Preventive medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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
14 citing papers in PubMed.
- Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.JMIR research protocols · 2026Article
- Pilot implementation and evaluation of a social risk screening tool for hospitalised patients in Singapore.Journal of hospital medicine · 2026Article
- Establishment of a large-scale oral disease registry (NDCS-ODR) in a national specialty center.PloS one · 2026Article
- Evaluation of diet quality of Singaporean mothers and their weaning children.European journal of nutrition · 2025Article
- Development of a territory-wide household-based composite index for measuring relative distribution of households by economic status in individual small areas throughout Hong Kong.BMC public health · 2024Article
- Association of social isolation and depressive symptoms with workplace productivity loss in a multi-ethnic Asian study.Scientific reports · 2024Article
- Socioeconomic disadvantage and long-term survival duration in out-of-hospital cardiac arrest patients: A population-based cohort study.Resuscitation plus · 2024Article
- Exploration of the food environment in different socioeconomic areas in Hong Kong and Singapore: a cross-sectional case study.BMC public health · 2023Article
- Trajectories of Health-related quality of life in patients with Advanced Cancer during the Last Year of Life: findings from the COMPASS study.BMC palliative care · 2022Observational
- Leveraging open data to reconstruct the Singapore Housing Index and other building-level markers of socioeconomic status for health services research.International journal for equity in health · 2021Article
- COVID-19 and urban vulnerability in India.Habitat international · 2020Article
- Ethnic differences in quality of life and its association with survival in patients with heart failure.Clinical cardiology · 2020Article
- Socio-economic status, visual impairment and the mediating role of lifestyles in developed rural areas of China.PloS one · 2019Article
- Composite Measures of Individual and Area-Level Socio-Economic Status Are Associated with Visual Impairment in Singapore.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnvironmental contexts have been shown to predict health behaviours and outcomes either directly or via interaction with individual risk factors. In this paper, we created indexes of socioeconomic disadvantage (SEDI) and socioeconomic advantage (SAI) in Singapore to test the applicability of these concepts in an Asian context. These indices can be used for health service resource allocation, research and advocacy.
methodsWe used principal component analysis (PCA) to create SEDI and SAI using a structured and iterative process to identify and include influential variables in the final index. Data at the master plan geographical level was obtained from the most recent Singapore census 2010.
resultsThe 3 areas with highest SEDI scores were Outram (120.1), followed by Rochor (111.0) and Downtown Core (110.4). The areas with highest SAI scores were Tanglin, River Valley and Newton. The SAI had 89.6% of variation explained by the final model, as compared to 67.1% for SEDI, and we recommend using both indices in any analysis.
conclusionThese indices may prove useful for policy-makers to identify spatially varying risk factors, and in turn help identify geographically targeted intervention programs, which can be more cost effective to conduct.
Indexed as
Identifiers
What OpenQuestion holds
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.