SynthesisAnnals of emergency medicine2013
Systematic review of strategies to manage and allocate scarce resources during mass casualty events.
Synthesis in Annals of emergency medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled 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.
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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews.PharmacoEconomics · 2017Pooled it
- Ethical Guidance for Disaster Response, Specifically Around Crisis Standards of Care: A Systematic Review.American journal of public health · 2017Pooled it
- Blood-Based Biomarkers for the Preterminal Stage Using Rhesus Macaques Exposed to Acute Total-Body Radiation.International journal of molecular sciences · 2026Article
- Clinical decision-making process and distributive justice: The mediating role of economic analysis. Empirical evidence from Italy.Journal of evaluation in clinical practice · 2025Article
- AI in humanitarian healthcare: a game changer for crisis response.Frontiers in artificial intelligence · 2025Review
- Adjustment of medical standards in disaster, crises and war: a scoping review of the literature.BMJ public health · 2024Article
- Optimizing Medical Care during a Nerve Agent Mass Casualty Incident Using Computer Simulation.Journal of medical systems · 2024Article
- Treating wartime injuries amidst attack: insights from a medical facility on the edge of combat.Conflict and health · 2024Article
- Evaluating emergency response at a hospital near the Gaza border within 24 h of increased conflict.BMC emergency medicine · 2024Article
- The loneliness of the local orthopaedic surgeon in disaster zones.International orthopaedics · 2024Article
- Hospital Resource Planning for Mass Casualty Incidents: Limitations for Coping with Multiple Injured Patients.Healthcare (Basel, Switzerland) · 2023Article
- Education, training and technological innovation, key components of the ESTES-NIGHTINGALE project cooperation for Mass Casualty Incident preparedness in Europe.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023Review
- A Literature Study of Medical Simulations for Non-Technical Skills Training in Emergency Medicine: Twenty Years of Progress, an Integrated Research Framework, and Future Research Avenues.International journal of environmental research and public health · 2023Article
- Disaster area triage in the first 24 h of earthquakes, evaluation of pre-hospital and hospital procedures: 6.6 Elazig earthquake.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2022Article
- Fair prioritization of casualties in disaster triage: a qualitative study.BMC emergency medicine · 2021Article
- Healthcare system impacts of the 2017 Manchester Arena bombing: evidence from a national trauma registry patient case series and hospital performance data.Emergency medicine journal : EMJ · 2021Article
- Balancing scarce hospital resources during the COVID-19 pandemic using discrete-event simulation.Health care management science · 2021Article
- Reinforcement and Maintenance of Human Resources for Health Systems during Long-Term Crises: A Systematic Review of Systematic Reviews.Emergency medicine international · 2021Review
- Hospital Resilience After the 2015 Earthquake in Nepal: Results From Semi-structured Interviews With Hospital Staff.Frontiers in public health · 2021Article
- Achieving flexible competence: bridging the investment dichotomy between infectious diseases and cancer.BMJ global health · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
STUDY
objectiveEfficient management and allocation of scarce medical resources can improve outcomes for victims of mass casualty events. However, the effectiveness of specific strategies has never been systematically reviewed. We analyze published evidence on strategies to optimize the management and allocation of scarce resources across a wide range of mass casualty event contexts and study designs.
methodsOur literature search included MEDLINE, Scopus, EMBASE, Cumulative Index to Nursing and Allied Health Literature, Global Health, Web of Science, and the Cochrane Database of Systematic Reviews, from 1990 through late 2011. We also searched the gray literature, using the New York Academy of Medicine's Grey Literature Report and key Web sites. We included both English- and foreign-language articles. We included studies that evaluated strategies used in actual mass casualty events or tested through drills, exercises, or computer simulations. We excluded studies that lacked a comparison group or did not report quantitative outcomes. Data extraction, quality assessment, and strength of evidence ratings were conducted by a single researcher and reviewed by a second; discrepancies were reconciled by the 2 reviewers. Because of heterogeneity in outcome measures, we qualitatively synthesized findings within categories of strategies.
resultsFrom 5,716 potentially relevant citations, 74 studies met inclusion criteria. Strategies included reducing demand for health care services (18 studies), optimizing use of existing resources (50), augmenting existing resources (5), implementing crisis standards of care (5), and multiple categories (4). The evidence was sufficient to form conclusions on 2 strategies, although the strength of evidence was rated as low. First, as a strategy to reduce demand for health care services, points of dispensing can be used to efficiently distribute biological countermeasures after a bioterrorism attack or influenza pandemic, and their organization influences speed of distribution. Second, as a strategy to optimize use of existing resources, commonly used field triage systems do not perform consistently during actual mass casualty events. The number of high-quality studies addressing other strategies was insufficient to support conclusions about their effectiveness because of differences in study context, comparison groups, and outcome measures. Our literature search may have missed key resource management and allocation strategies because of their extreme heterogeneity. Interrater reliability was not assessed for quality assessments or strength of evidence ratings. Publication bias is likely, given the large number of studies reporting positive findings.
conclusionThe current evidence base is inadequate to inform providers and policymakers about the most effective strategies for managing or allocating scarce resources during mass casualty events. Consensus on methodological standards that encompass a range of study designs is needed to guide future research and strengthen the evidence base. Evidentiary standards should be developed to promote consensus interpretations of the evidence supporting individual strategies.
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.