Evidence map›Paper›PMID 33540547›Full record

ArticleInternational journal of environmental research and public health2021

A Cross-Sectional Study on the Flood Emergency Preparedness among Healthcare Providers in Saudi Arabia.

Ahmed M Al-Wathinani, Abdulaziz Alakeel, Ahmad Hecham Alani, Mohammad Alharbi, Abdullah Almutairi, Tahani Alonaizi, Riyadh A Alhazmi, Sultan M Alghadeer, Abdulmajeed M Mobrad, Krzysztof Goniewicz and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

12 authors at 6 institutions in 3 countries.

Ahmed M Al-WathinaniDepartment of Emergency Medical Services, Prince Sultan Bin Abdulaziz College of Emergency Medical Services, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-7905-1497
Abdulaziz AlakeelNational Pharmacovigilance and Drug Safety Center, Saudi Food and Drug Authority, Riyadh 33292, Saudi Arabia.ORCID 0000-0002-9676-0738
Ahmad Hecham AlaniIndependent Researcher, London EC2V 7AN, UK.ORCID 0000-0001-6318-3017
Mohammad AlharbiPublic Health Department, Ministry of Health, 34496 Jeddah, Saudi Arabia.
Abdullah AlmutairiInfection Control Department, King Khalid Hospital, Ministry of Health, Riyadh 12372, Saudi Arabia.
Tahani AlonaiziDepartment of Nursing, King Fahad Medical City, Ministry of Health, Riyadh 12231, Saudi Arabia.
Riyadh A AlhazmiDepartment of Emergency Medical Services, Prince Sultan Bin Abdulaziz College of Emergency Medical Services, King Saud University, Riyadh 11451, Saudi Arabia.
Sultan M AlghadeerBasic Science Department, Prince Sultan Bin Abdulaziz College of Emergency Medical Services, King Saud University, Riyadh 11451, Saudi Arabia.
Abdulmajeed M MobradDepartment of Emergency Medical Services, Prince Sultan Bin Abdulaziz College of Emergency Medical Services, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0003-1551-5800
Krzysztof GoniewiczDepartment of Aviation Security, Military University of Aviation, 08521 Deblin, Poland.ORCID 0000-0003-4368-6850
Amir Khorram-ManeshDepartment of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, 41345 Gothenburg, Sweden.ORCID 0000-0002-2734-5733
Attila J HertelendyDepartment of Information Systems and Business Analytics, College of Business, Florida International University, Miami, FL 33174, USA.
King Saud bin Abdulaziz University for Health Sciences · SAMinistry of Health · SAFlorida International University · USKing Fahd Medical City · SASaudi Arabian Monetary Authority · SASwedish Armed Forces · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study used a descriptive cross-sectional methodology to measure healthcare workers' knowledge, attitudes, perceptions, and willingness to respond to a flood scenario in Saudi Arabia. A validated survey was distributed to collect data using a convenience sampling technique through multiple social media platforms. A total of 227 participants were included in this study: 52% of them were aged between 26 to 34 years, 74% were residents from Riyadh, and 52.4% worked in nursing divisions. A significant number of respondents (73.2%) had positive perceptions towards their hospitals' ability to provide an effective response to a flood, 89% were willing to report to work following a flood, and 90% of participants reported the need to develop both guidelines and training for flood disaster preparedness. Preparation and successful flood mitigation in the hospital setting requires staff that have both knowledge and training in emergency management. One way to obtain such readiness is through competency-based training, including both table-top and full-scale live exercises. Although the willingness to respond to such a flooding emergency was high among staff, the development of guidelines and educational programs is needed in order to develop the competencies and skills sets to improve disaster preparedness response and preparedness efforts.

Indexed as

Civil DefenseDisaster PlanningAdultCross-Sectional StudiesFloodsHealth PersonnelHumansSaudi Arabiadisastersemergency preparednessfloodhospital preparednessSaudi Arabia

Identifiers

PMID33540547
PMCPMC7908384
OpenAlexW3127560066

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.