Evidence map›Paper›PMID 39372333›Full record

ArticleHealth science reports2024

Hospital crisis management in the epidemic: A qualitative study.

Shahrzad Mahmoudjanlou, Ghahraman Mahmoudi, Mohammad-Ali Jahani

Abstract read
In one paragraph

Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shahrzad MahmoudjanlouMedical & Health Services Administration, Sari Branch Islamic Azad University Sari Iran.ORCID 0009-0003-2361-5892
Ghahraman MahmoudiHospital Administration Research Center, Sari Branch Islamic Azad University Sari Iran.
Mohammad-Ali JahaniSocial Determinants of Health Research Center, Health Research Institute Babol University of Medical Sciences Babol Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the advances in medical science, the epidemic of infectious diseases has faced serious challenges to the health system of countries, so the purpose of this study was to identify obstacles and management strategies to prepare for planning preventive measures and better care in dealing with infectious diseases in hospitals. Method: The current qualitative research was of the grounded theory type, which was conducted in 2023. The semistructured interview questions were obtained from experts. The initial selection of the sample was made from experts in the field of health and treatment from all over the country. The snowball method was used to increase the sample volume until it reached sufficient Value. After analyzing the data through MAXQDA2020 software, this research reached saturation by interviewing 20 experts. Results: Four main areas, 15 subthemes, and 93 codes were identified in the management of epidemics, which included leadership and management (planning, physical structure, information management, financial resources, manpower, medicine and equipment, and internal and external coordination), Stewardship (macro policy and syndromic care system), safety and resilience (crisis management and emergency and disaster risk management), management of infectious diseases (instructions, education, infection prevention and control, treatment management). Conclusion: This study presents the strategies of the health system in dealing with the epidemic of infectious diseases to overcome the obstacles and challenges of preparation and response, which can help health managers in designing future programs, and finally, it shows that hospitals should have a plan for resilience in crises.

Indexed as

COVID‐19epidemicshospitalsinfectious diseases

Identifiers

PMID39372333
PMCPMC11449806

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Registered trials

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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.