Factors affecting decision making among nurse managers working in government hospitals

BackgroundEffective nursing management and leadership are essential for the provision of desired patient care that will contribute to the improvement of any country's health indicators. However, nurses' views and experiences on the multitude of personal and organizational factors which may...

Full description

Saved in:
Bibliographic Details
Main Authors: Wubete Abeje, Belachew Tegegne, Zenebe Tefera, Yosef Zenebe, Wondwossen Yimam, Birhanu Desu, Yismaw Andargie, Muluken Amare, Molla Kassa, Mulugeta W/Selassie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Health Services
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frhs.2024.1475402/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841527799350820864
author Wubete Abeje
Belachew Tegegne
Zenebe Tefera
Yosef Zenebe
Wondwossen Yimam
Birhanu Desu
Yismaw Andargie
Muluken Amare
Molla Kassa
Mulugeta W/Selassie
author_facet Wubete Abeje
Belachew Tegegne
Zenebe Tefera
Yosef Zenebe
Wondwossen Yimam
Birhanu Desu
Yismaw Andargie
Muluken Amare
Molla Kassa
Mulugeta W/Selassie
author_sort Wubete Abeje
collection DOAJ
description BackgroundEffective nursing management and leadership are essential for the provision of desired patient care that will contribute to the improvement of any country's health indicators. However, nurses' views and experiences on the multitude of personal and organizational factors which may impact their decision-making abilities are often neglected in the literature. The study aimed to assess magnitude of poor decision making and its associated factors among nurse managers in South Wollo Zone Governmental Hospitals, Amhara Regional State, Ethiopia, 2023.MethodsNon experimental cross-sectional study was conducted among 168 nurse managers in South Wollo Zone Public Hospitals from April 01 2023 to May 15/2023. Participants were selected by using a simple random sampling technique. The data were collected by using structured questionnaire from the study participants. Data were entered using EPI data version 4.6 and exported to SPSS version 26 for analysis. The bi-variable logistic regression analysis model was used to identify the potential predictor variable, with p-value <0.25 was fitted into the multivariable logistic regression analysis model; p-value less than 0.05 and an adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to declare, factors associated with the outcome variable. The model fitness was checked by using the Hosmer and Lemeshow test. Data were presented with frequency tables, graphs, and pie charts.ResultsThe study found that the overall magnitude of poor decision-making among nurse managers was 35.7%. Being self-confident [AOR = 0.01, 95% CI: (00.002, 0.05)], receiving feedback [AOR = 0.24, 95% CI: 0.08, 0.76], and getting managerial support [AOR = 0.22, 95% CI: (0.06, 0.81)] were negatively associated with poor decision-making among nurse managers.ConclusionSelf-confidence, receiving feedback, and getting managerial support were variables significantly associated with poor decision-making. Authors strongly emphasize providing managerial support for nurse managers, increasing their habit of receiving feedback from colleagues, and encouraging them to build their self-confidence.
format Article
id doaj-art-093a0cabb10a4c65968d43231cceabfe
institution Kabale University
issn 2813-0146
language English
publishDate 2025-01-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Health Services
spelling doaj-art-093a0cabb10a4c65968d43231cceabfe2025-01-15T06:10:44ZengFrontiers Media S.A.Frontiers in Health Services2813-01462025-01-01410.3389/frhs.2024.14754021475402Factors affecting decision making among nurse managers working in government hospitalsWubete Abeje0Belachew Tegegne1Zenebe Tefera2Yosef Zenebe3Wondwossen Yimam4Birhanu Desu5Yismaw Andargie6Muluken Amare7Molla Kassa8Mulugeta W/Selassie9Department of Adult Health Nursing, Wollo University, Kelem-Meda, EthiopiaDepartment of Nursing, Injibara University, Koso-Ber, EthiopiaDepartment of Midwifery, Wollo University, Kelem-Meda, EthiopiaDepartment of Psychiatry, Wollo University, Kelem-Meda, EthiopiaDepartment of Comprehensive Nursing, Wollo University, Kelem-Meda, EthiopiaDepartment of Emergency and Critical Care Nursing, Wollo University, Kelem-Meda, EthiopiaDepartment of Pediatrics and Child Health, School of Medicine, Wollo University, Kelem-Meda, EthiopiaDepartment of Pediatrics and Child Health Nursing, Wollo University, Kelem-Meda, EthiopiaDepartment of Pediatrics and Child Health Nursing, Wollo University, Kelem-Meda, EthiopiaDepartment of Pediatrics and Child Health Nursing, Wollo University, Kelem-Meda, EthiopiaBackgroundEffective nursing management and leadership are essential for the provision of desired patient care that will contribute to the improvement of any country's health indicators. However, nurses' views and experiences on the multitude of personal and organizational factors which may impact their decision-making abilities are often neglected in the literature. The study aimed to assess magnitude of poor decision making and its associated factors among nurse managers in South Wollo Zone Governmental Hospitals, Amhara Regional State, Ethiopia, 2023.MethodsNon experimental cross-sectional study was conducted among 168 nurse managers in South Wollo Zone Public Hospitals from April 01 2023 to May 15/2023. Participants were selected by using a simple random sampling technique. The data were collected by using structured questionnaire from the study participants. Data were entered using EPI data version 4.6 and exported to SPSS version 26 for analysis. The bi-variable logistic regression analysis model was used to identify the potential predictor variable, with p-value <0.25 was fitted into the multivariable logistic regression analysis model; p-value less than 0.05 and an adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to declare, factors associated with the outcome variable. The model fitness was checked by using the Hosmer and Lemeshow test. Data were presented with frequency tables, graphs, and pie charts.ResultsThe study found that the overall magnitude of poor decision-making among nurse managers was 35.7%. Being self-confident [AOR = 0.01, 95% CI: (00.002, 0.05)], receiving feedback [AOR = 0.24, 95% CI: 0.08, 0.76], and getting managerial support [AOR = 0.22, 95% CI: (0.06, 0.81)] were negatively associated with poor decision-making among nurse managers.ConclusionSelf-confidence, receiving feedback, and getting managerial support were variables significantly associated with poor decision-making. Authors strongly emphasize providing managerial support for nurse managers, increasing their habit of receiving feedback from colleagues, and encouraging them to build their self-confidence.https://www.frontiersin.org/articles/10.3389/frhs.2024.1475402/fulldecision-makingfactorsgovernmental hospitalsnurse managersEthiopia
spellingShingle Wubete Abeje
Belachew Tegegne
Zenebe Tefera
Yosef Zenebe
Wondwossen Yimam
Birhanu Desu
Yismaw Andargie
Muluken Amare
Molla Kassa
Mulugeta W/Selassie
Factors affecting decision making among nurse managers working in government hospitals
Frontiers in Health Services
decision-making
factors
governmental hospitals
nurse managers
Ethiopia
title Factors affecting decision making among nurse managers working in government hospitals
title_full Factors affecting decision making among nurse managers working in government hospitals
title_fullStr Factors affecting decision making among nurse managers working in government hospitals
title_full_unstemmed Factors affecting decision making among nurse managers working in government hospitals
title_short Factors affecting decision making among nurse managers working in government hospitals
title_sort factors affecting decision making among nurse managers working in government hospitals
topic decision-making
factors
governmental hospitals
nurse managers
Ethiopia
url https://www.frontiersin.org/articles/10.3389/frhs.2024.1475402/full
work_keys_str_mv AT wubeteabeje factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT belachewtegegne factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT zenebetefera factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT yosefzenebe factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT wondwossenyimam factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT birhanudesu factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT yismawandargie factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT mulukenamare factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT mollakassa factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals
AT mulugetawselassie factorsaffectingdecisionmakingamongnursemanagersworkingingovernmenthospitals