ArticleSingapore medical journal2019
Can we understand population healthcare needs using electronic medical records?
Article in Singapore medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07580690 (Integrating Health and Social Service Needs for Frail Elders at Point of Care), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
Integrating Health and Social Service Needs for Frail Elders at Point of Care: Development and Evaluation of an IT-based Digital Needs-assessment Tool
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Population segmentation based on healthcare needs: a systematic review.Systematic reviews · 2019Pooled it
- Development and validation of a brief assessment of normative health and health-related social needs using the Simple Segmentation Tool.BMC health services research · 2025Article
- Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit.Healthcare informatics research · 2021Article
- Web-Based Patient Segmentation in Finnish Primary Care: Protocol for Clinical Validation of the Navigator Service in Patients With Diabetes.JMIR research protocols · 2020Article
- Identifying optimal indicators and purposes of population segmentation through engagement of key stakeholders: a qualitative study.Health research policy and systems · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe identification of population-level healthcare needs using hospital electronic medical records (EMRs) is a promising approach for the evaluation and development of tailored healthcare services. Population segmentation based on healthcare needs may be possible using information on health and social service needs from EMRs. However, it is currently unknown if EMRs from restructured hospitals in Singapore provide information of sufficient quality for this purpose. We compared the inter-rater reliability between a population segment that was assigned prospectively and one that was assigned retrospectively based on EMR review.
methods200 non-critical patients aged ≥ 55 years were prospectively evaluated by clinicians for their healthcare needs in the emergency department at Singapore General Hospital, Singapore. Trained clinician raters with no prior knowledge of these patients subsequently accessed the EMR up to the prospective rating date. A similar healthcare needs evaluation was conducted using the EMR. The inter-rater reliability between the two rating sets was evaluated using Cohen's Kappa and the incidence of missing information was tabulated.
resultsThe inter-rater reliability for the medical 'global impression' rating was 0.37 for doctors and 0.35 for nurses. The inter-rater reliability for the same variable, retrospectively rated by two doctors, was 0.75. Variables with a higher incidence of missing EMR information such as 'social support in case of need' and 'patient activation' had poorer inter-rater reliability.
conclusionPre-existing EMR systems may not capture sufficient information for reliable determination of healthcare needs. Thus, we should consider integrating policy-relevant healthcare need variables into EMRs.
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