ArticleInternational journal of environmental research and public health2022
Hospital Surge Capacity Preparedness in Disasters and Emergencies: Protocol for a Systematic Review.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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Who cites it
9 citing papers in PubMed.
- Orthopedic conditions and treatment patterns among unhoused urban patients: a street medicine study.BMC musculoskeletal disorders · 2026Observational
- Article
- Complex Care Needs of People with Technology Dependence in Disaster Situations: A Scoping Review.Healthcare (Basel, Switzerland) · 2025Review
- Pediatric emergency disaster preparedness: a narrative review of global disparities, challenges, and policy solutions.International journal of emergency medicine · 2025Review
- Natural disasters in the United States: Hurricane risk, hospital closures, and healthcare finance.Journal of hospital administration · 2025Article
- Patient flow management in biological events: a scoping review.BMC health services research · 2024Article
- Preparing healthcare facilities in sub-Saharan Africa for future outbreaks: insights from a multi-country digital self-assessment of COVID-19 preparedness.BMC health services research · 2024Article
- Assessing healthcare capacity crisis preparedness: development of an evaluation tool by a Canadian health authority.Frontiers in public health · 2023Article
- Large-scale real-life implementation of technology-enabled care to maximize hospitals' medical surge preparedness during future infectious disease outbreaks and winter seasons: a viewpoint.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hospitals' medical surge preparedness or surge capacity preparedness plays a significant role in reducing mortalities and in the treatment of severe injuries in disasters and emergencies. Though actions or activities for surge capacity preparedness of hospitals are discussed in several studies, they remain fragmented and need to be compiled. This systematic review will provide a comprehensive synthesis of evidence of actions or steps taken to strengthen hospitals' medical surge preparedness in disasters and emergencies, which will eventually help develop surge capacity programs and relevant policies. All the studies published in peer-reviewed journals between 1 January 2016 and 30 July 2022, with full text available, will be included in this review. Seven electronic databases-PubMed, Scopus, MEDLINE, CINAHL, Embase, PsycINFO, and Ovid-will be searched. Two reviewers will independently screen the titles and abstracts using the eligibility criteria, review full-text articles, and extract data with the help of CADIMA software. A third reviewer will help resolve any discrepancies during the whole process. The extracted data will be narratively synthesized with the key characteristics and findings of the studies. The NIH quality assessment tools will be used to scale up the the quality of the retrieved quantitative studies. Moreover, the mixed methods appraisal tool (MMAT) and Noyes et al. guidelines will be used to assess the mixed methods studies and qualitative studies quality assessment, respectively.
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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.