ArticlePloS one2025
Effectiveness of a clinical decision support system with prediction modeling to identify patients with health-related social needs in the emergency department: Study protocol.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06655974 (Protocol for Evaluating the Effectiveness of a Clinical Decision Support System With Prediction Modeling to Identify Patients With Health-related Social Needs in the Emergency Department), which is not on this map. Cited by 2 papers.
What it found
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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.
Protocol for Evaluating the Effectiveness of a Clinical Decision Support System With Prediction Modeling to Identify Patients With Health-related Social Needs in the Emergency Department
Who cites it
2 citing papers in PubMed.
- Potential for Bias in Social Needs Data Collection and Screening Activities in Health Care Settings.JAMA health forum · 2026Article
- Integrating a risk prediction score in a clinical decision support to identify patients with health-related social needs in the emergency department.JAMIA open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
introductionHealth-related social needs (HRSNs) encompass various non-medical risks from a patient's life circumstances. The emergency department (ED) is a crucial yet challenging setting for addressing patient HRSNs, a clinical decision support (CDS) intervention could assist in identifying patients at high risk of having HRSNs. This project aims to implement and evaluate a CDS intervention that offers ED clinicians risk prediction scores to determine which patients will likely screen positive for one or more HRSNs. MATERIALS &
methodsThe FHIR-based CDS intervention, implemented in the ED setting of a health system in Indianapolis, Indiana, will use health information exchange data to generate logit-derived probability scores that estimate an adult patient's likelihood of screening positive for each of the following HRSNs: housing instability, food insecurity, transportation barriers, financial strain, and history of legal involvement. For each HRSN, ED clinicians will have access to the patient's likelihood of screening positive categorized as "high," "medium," or "low" based on tertiles in the distribution of each likelihood score. Clinician participation in the CDS will be voluntary. The intervention's effects will be assessed using a difference-in-difference approach with a pre-post design and a propensity-matched comparison group of ED patients from the same metropolitan area. Outcomes of interest include whether a formal HRSN screening was conducted, whether a referral was made to an HRSN service provider (e.g., social worker), and whether a repeat ED revisit (at 3, 7, and 30 days) or primary care follow-up (within 7 days) occurred. DISCUSSION: Efficiently and accurately identifying patients with HRSNs could help link them to needed services, improving outcomes and reducing healthcare costs. This protocol will contribute to a growing body of research on the role of CDS interventions in facilitating improved screenings and referrals for HRSNs.
trial registrationClincialtrials.gov NCT06655974.
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Registered trials
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