Nurses’ challenges for disaster response: a qualitative study

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background

Healthcare providers, particularly nurses, play a critical role in mitigating the impact of disasters on victims and the healthcare system. However, nurses face unique challenges in disasters that may not experience in their daily practice, which can make it harder for them to deal with disasters efficiently. This study aimed to investigate the challenges faced by nurses for disaster response.

Methods

A qualitative content analysis approach was used in this study. Purposeful sampling was used to select 24 nurses working in the emergency departments of hospitals in Kerman, southeastern Iran. Data were collected through semi-structured interviews and analyzed using MAXQDA10. The conventional content analysis method proposed by Graneheim and Lundman was used to analyze the data.

Results

The analysis of the findings resulted in one major category, insufficient ability of nurses to respond to disasters, and five subcategories: diverse nursing conditions during disasters, inappropriate interactive platform during disasters, the presence of obstacles to teamwork, lack of platform for nurses to acquire adequate disaster risk management competence, and moral tension in complex disaster situations.

Conclusions

Determining the challenges that nurses face during disasters is essential for improving disaster response efforts, promoting disaster preparedness, ensuring appropriate care for patients, and reducing emotional fatigue among nurses. Finally, nursing leaders, healthcare policymakers and governments should use these findings to better support the nursing workforce in disasters.

Related collections

Most cited references 52

Record: found
Abstract: found
Article: not found

Three approaches to qualitative content analysis.

Hsiu-Fang Hsieh, Sarah Shannon (2016)

Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.

0 comments Cited 5350 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness.

U.H. Graneheim, B Lundman (2004)

Qualitative content analysis as described in published literature shows conflicting opinions and unsolved issues regarding meaning and use of concepts, procedures and interpretation. This paper provides an overview of important concepts (manifest and latent content, unit of analysis, meaning unit, condensation, abstraction, content area, code, category and theme) related to qualitative content analysis; illustrates the use of concepts related to the research procedure; and proposes measures to achieve trustworthiness (credibility, dependability and transferability) throughout the steps of the research procedure. Interpretation in qualitative content analysis is discussed in light of Watzlawick et al.'s [Pragmatics of Human Communication. A Study of Interactional Patterns, Pathologies and Paradoxes. W.W. Norton & Company, New York, London] theory of communication.

0 comments Cited 2507 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Disaster preparedness among nurses: a systematic review of literature.

A A Obeidat, D S Gloe, D McEnroe-Petitte … (2018)

This review explored peer-reviewed publications that measure nurses' preparedness for disaster response.

0 comments Cited 96 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Faezeh Soltani Goki:

ORCID: http://orcid.org/0000-0001-7908-8153

sfaezeh14@yahoo.com

Journal

Journal ID (nlm-ta): BMC Emerg Med

Journal ID (iso-abbrev): BMC Emerg Med

Title: BMC Emergency Medicine

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-227X

Publication date (Electronic): 3 January 2024

Publication date PMC-release: 3 January 2024

Publication date Collection: 2024

Volume: 24

Electronic Location Identifier: 1

Affiliations

[1 ]Nursing Research Center, Kerman University of Medical Sciences, ( https://ror.org/02kxbqc24) Kerman, Iran

[2 ]Health in Disasters and Emergencies Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, ( https://ror.org/02kxbqc24) Kerman, Iran

[3 ]Department of Nursing Administration, Faculty of Health Sciences, Ondokuz Mayis University, ( https://ror.org/028k5qw24) Samsun, Turkey

Author information

Jamileh Farokhzadian http://orcid.org/0000-0002-9621-3486

Parvin Mangolian Shahrbabaki http://orcid.org/0000-0003-0539-5390

Hojjat Farahmandnia http://orcid.org/0000-0002-3264-6792

Gülcan Taskiran Eskici http://orcid.org/0000-0001-8331-4897

Faezeh Soltani Goki http://orcid.org/0000-0001-7908-8153

Article

Publisher ID: 921

DOI: 10.1186/s12873-023-00921-8

PMC ID: 10765941

PubMed ID: 38172759

SO-VID: 3af63461-c9f2-46ae-a59f-97ea475cfcd7

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.