Evaluating the triage risk screening tool with a cutoff score of ≥2 for identifying elderly inpatients at risk of 30-day unplanned emergency department readmissions: a systematic review and meta-analysis
Authors: Anwar Sultan F Alenezi , Jana Solaiman Alsobeihy , Bader Sulaiman Althunayyan , Abdullah Faez Aloufi , Azizah Fahad Alburaq , Hashim Abdulwahab Alsharif , Yousef Mesaed Al-Shammari , Abdulmajeed farahan A Alenazi ,
Abstract
Background: Unplanned emergency department (ED) readmissions within 30 day remain a major challenge in geriatric care, contributing to increased morbidity, mortality, and healthcare utilization. The triage risk screening tool (TRST) is frequently used to identify older adults at risk of adverse outcomes. However, its predictive accuracy at the conventional cutoff score of ≥2 remains uncertain, raising concerns about its standalone reliability. To systematically evaluate the diagnostic performance of the TRST (cutoff ≥2) in identifying elderly inpatients at risk of unplanned 30-day ED readmissions.
Methods: A systematic review and meta-analysis were conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Searches were performed in PubMed, Scopus, Embase, Web of Science, and the Cochrane Library. Eligible studies included cohort designs assessing the TRST in adults aged ≥65 years for predicting 30-day unplanned ED readmissions. Pooled estimates of sensitivity, specificity, diagnostic odds ratio (DOR), and likelihood ratios were obtained using a random-effects bivariate model.
Results: Six studies with a total of 5,638 participants met the inclusion criteria. The pooled sensitivity was 0.705 [95% confidence intervals (CI): 0.612-0.783], and specificity was 0.443 (95% CI: 0.332-0.561), indicating moderate sensitivity but low specificity. The DOR was 1.902 (95% CI: 1.016-3.562), with likelihood ratios (positive likelihood ratio = 1.27, negative likelihood ratio = 0.67) suggesting limited discriminatory ability. Substantial heterogeneity was observed (I² = 78.9% for sensitivity; 97.5% for specificity), reflecting variability between studies.
Conclusion: The TRST at a cutoff score of ≥2 demonstrates moderate sensitivity but low specificity for predicting 30-day unplanned ED readmissions in older adults. While it may be useful as an initial screening tool, its clinical value is maximized when integrated into comprehensive geriatric assessments and structured transitional care programs to enhance prediction accuracy and reduce preventable readmissions.
Keywords: Triage risk screening tool, TRST, elderly, emergency department, readmission, diagnostic accuracy, systematic review, meta-analysis.
Pubmed Style
Anwar Sultan F Alenezi, Jana Solaiman Alsobeihy, Bader Sulaiman Althunayyan , Abdullah Faez Aloufi , Azizah Fahad Alburaq , Hashim Abdulwahab Alsharif, Yousef Mesaed Al-Shammari , Abdulmajeed farahan A Alenazi. Evaluating the triage risk screening tool with a cutoff score of ≥2 for identifying elderly inpatients at risk of 30-day unplanned emergency department readmissions: a systematic review and meta-analysis. AMEM. 2026; 18 (June 2026): -. doi:10.24911/amem.15-2786
Publication History
Received: April 24, 2026
Revised: May 15, 2026 Revised: May 16, 2026
Accepted: May 30, 2026
Published: June 18, 2026
Authors
Anwar Sultan F Alenezi
College of Medicine, Northern Border University, Arar, Saudi Arabia.
Jana Solaiman Alsobeihy
College of Medicine, Taibah University, Madinah, Saudi Arabia.
Bader Sulaiman Althunayyan
College of Medicine, Qassim University, Buraydah, Saudi Arabia.
Abdullah Faez Aloufi
College of Nursing, Taibah University, Madinah, Saudi Arabia.
Azizah Fahad Alburaq
College of Medicine, Taif University, Taif, Saudi Arabia.
Hashim Abdulwahab Alsharif
College of Medicine, Taif University, Taif, Saudi Arabia.
Yousef Mesaed Al-Shammari
Department of Ophthalmology, Al-Bahar Eye Center, Ibn Sina Hospital, Ministry of Health, Kuwait City, Kuwait.
Abdulmajeed farahan A Alenazi
Emergency Medicine Department, Prince Abdulaziz Bin Musaad Hospital, Arar, Saudi Arabia.