Intention to Leave the Nursing Profession and Its Relation with Work Climate and Demographic Characteristics.

Climate Iran intention nursing

Journal

Iranian journal of nursing and midwifery research
ISSN: 1735-9066
Titre abrégé: Iran J Nurs Midwifery Res
Pays: India
ID NLM: 101558775

Informations de publication

Date de publication:
Historique:
received: 08 12 2018
revised: 11 08 2019
accepted: 24 08 2019
entrez: 28 11 2019
pubmed: 28 11 2019
medline: 28 11 2019
Statut: epublish

Résumé

Because of the importance of staff shortage in health systems, considering the intention to leave the job and its related factors among nurses is very important. The aim of this study was to identify the association between the intention to leave the nursing profession and work climate and demographic characteristics. A cross-sectional survey was conducted among 206 nurses, by random sampling method from six hospitals (response rate = 92%). A set of self-administered questionnaires were applied for the evaluation of intention to leave and work climate. The high level of intention to leave the profession was expressed by 23.70% of the participants; 25.10% of the participants had the moderate intention. Data analysis revealed that work climate, type of employment, marital status, and overtime working were significant predictors of nurses' intention to leave after controlling other independent variables (R It was found that work climate and some demographic characteristics can be seen as indicators for intention to leave among nurses; therefore, considering the so-called variables is required. Further studies are needed to identify other aspects of the issue.

Sections du résumé

BACKGROUND BACKGROUND
Because of the importance of staff shortage in health systems, considering the intention to leave the job and its related factors among nurses is very important. The aim of this study was to identify the association between the intention to leave the nursing profession and work climate and demographic characteristics.
MATERIALS AND METHODS METHODS
A cross-sectional survey was conducted among 206 nurses, by random sampling method from six hospitals (response rate = 92%). A set of self-administered questionnaires were applied for the evaluation of intention to leave and work climate.
RESULTS RESULTS
The high level of intention to leave the profession was expressed by 23.70% of the participants; 25.10% of the participants had the moderate intention. Data analysis revealed that work climate, type of employment, marital status, and overtime working were significant predictors of nurses' intention to leave after controlling other independent variables (R
CONCLUSIONS CONCLUSIONS
It was found that work climate and some demographic characteristics can be seen as indicators for intention to leave among nurses; therefore, considering the so-called variables is required. Further studies are needed to identify other aspects of the issue.

Identifiants

pubmed: 31772921
doi: 10.4103/ijnmr.IJNMR_209_18
pii: IJNMR-24-457
pmc: PMC6875889
doi:

Types de publication

Journal Article

Langues

eng

Pagination

457-461

Informations de copyright

Copyright: © 2019 Iranian Journal of Nursing and Midwifery Research.

Déclaration de conflit d'intérêts

Nothing to declare.

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Auteurs

Fatemeh Sharififard (F)

Department of Anesthesiology Nursing, School of Paramedic, Qom University of Medical Sciences, Qom, Iran.

Hamid Asayesh (H)

Medical Emergencies, School of Paramedic, Qom University of Medical Sciences, Qom, Iran.

Hossein Rahmani-Anark (H)

Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Golestan University of Medical Sciences, Gorgan, Iran,, Iran.

Mostafa Qorbani (M)

Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Kara, Iran.
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Valiollah Akbari (V)

Department of Psychiatry, School of Medicine, Qom University of Medical Sciences, Qom, Iran.

Hossein Jafarizadeh (H)

Department of Nursing, School of Nursing and Midwifery, Urmia University of Medical Sciences, Urmia, Iran.

Classifications MeSH