Cargando…

Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study

INTRODUCTION: In the healthcare system, nurse managers’ participation in decision-making was invaluable in preserving cost-effective service and safe patient care. Despite the fact that nurse managers have the power to ensure optimal health care service, their involvement in decision-making has not...

Descripción completa

Detalles Bibliográficos
Autores principales: Tazebew, Chalie, Mulugeta, Tefera, Boka, Abdissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944178/
https://www.ncbi.nlm.nih.gov/pubmed/36844421
http://dx.doi.org/10.1177/23779608231157992
_version_ 1784891858616320000
author Tazebew, Chalie
Mulugeta, Tefera
Boka, Abdissa
author_facet Tazebew, Chalie
Mulugeta, Tefera
Boka, Abdissa
author_sort Tazebew, Chalie
collection PubMed
description INTRODUCTION: In the healthcare system, nurse managers’ participation in decision-making was invaluable in preserving cost-effective service and safe patient care. Despite the fact that nurse managers have the power to ensure optimal health care service, their involvement in decision-making has not been well studied. OBJECTIVES: To assess nurse managers’ decision-making involvement and associated factors working in selected governmental hospitals in Addis Ababa, Ethiopia 2021. METHODS: A cross-sectional study was conducted among 176 nurse managers from government hospitals in Addis Ababa, with a response rate of 168 (95.5%). The total sample size is assigned in proportion. The technique of systematic random sampling was used. A structured, self-administered questionnaire was used to collect data, which was then checked, cleaned, entered into EPI Info version 7.2, and exported to SPSS software version 25 for analysis. In a binary logistic regression model analysis, a p-value < .25 was used as the cut-off point to consider variables as candidates for multivariable analysis. A p-value of .05 was used to determine the predictor variables with a 95% confidence interval. RESULT: The mean age and standard deviation of the 168 respondents were 34.9 ± 4.1 years. More than half, 97 (57.7%), were excluded from general decision-making. Nurse managers in matron positions were 10 times more likely to participate in decision-making than head nurses (AOR = 10.00, 95% CI: 1.14–87.72, p = .038). Nurse managers who received managerial support were five times more likely to participate in good decision-making than nurse managers who did not receive managerial support (AOR = 5.29, 95% CI: 1.208–23.158, p = .027). Nurse managers who received feedback on their decision-making involvement had 7.7 times more good decision-making involvement than those who did not (AOR = 7.70, 95% CI: 2.482–23.911, p = .000). CONCLUSION: According to the findings of the study, the majority of nurse managers were not involved in decision-making.
format Online
Article
Text
id pubmed-9944178
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-99441782023-02-23 Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study Tazebew, Chalie Mulugeta, Tefera Boka, Abdissa SAGE Open Nurs Original Research Article INTRODUCTION: In the healthcare system, nurse managers’ participation in decision-making was invaluable in preserving cost-effective service and safe patient care. Despite the fact that nurse managers have the power to ensure optimal health care service, their involvement in decision-making has not been well studied. OBJECTIVES: To assess nurse managers’ decision-making involvement and associated factors working in selected governmental hospitals in Addis Ababa, Ethiopia 2021. METHODS: A cross-sectional study was conducted among 176 nurse managers from government hospitals in Addis Ababa, with a response rate of 168 (95.5%). The total sample size is assigned in proportion. The technique of systematic random sampling was used. A structured, self-administered questionnaire was used to collect data, which was then checked, cleaned, entered into EPI Info version 7.2, and exported to SPSS software version 25 for analysis. In a binary logistic regression model analysis, a p-value < .25 was used as the cut-off point to consider variables as candidates for multivariable analysis. A p-value of .05 was used to determine the predictor variables with a 95% confidence interval. RESULT: The mean age and standard deviation of the 168 respondents were 34.9 ± 4.1 years. More than half, 97 (57.7%), were excluded from general decision-making. Nurse managers in matron positions were 10 times more likely to participate in decision-making than head nurses (AOR = 10.00, 95% CI: 1.14–87.72, p = .038). Nurse managers who received managerial support were five times more likely to participate in good decision-making than nurse managers who did not receive managerial support (AOR = 5.29, 95% CI: 1.208–23.158, p = .027). Nurse managers who received feedback on their decision-making involvement had 7.7 times more good decision-making involvement than those who did not (AOR = 7.70, 95% CI: 2.482–23.911, p = .000). CONCLUSION: According to the findings of the study, the majority of nurse managers were not involved in decision-making. SAGE Publications 2023-02-20 /pmc/articles/PMC9944178/ /pubmed/36844421 http://dx.doi.org/10.1177/23779608231157992 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Tazebew, Chalie
Mulugeta, Tefera
Boka, Abdissa
Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study
title Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study
title_full Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study
title_fullStr Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study
title_full_unstemmed Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study
title_short Nurse Managers’ Involvement in Decision-Making and Associated Factors in Selected Government Hospitals, Addis Ababa, Ethiopia: A Cross-Sectional Study
title_sort nurse managers’ involvement in decision-making and associated factors in selected government hospitals, addis ababa, ethiopia: a cross-sectional study
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944178/
https://www.ncbi.nlm.nih.gov/pubmed/36844421
http://dx.doi.org/10.1177/23779608231157992
work_keys_str_mv AT tazebewchalie nursemanagersinvolvementindecisionmakingandassociatedfactorsinselectedgovernmenthospitalsaddisababaethiopiaacrosssectionalstudy
AT mulugetatefera nursemanagersinvolvementindecisionmakingandassociatedfactorsinselectedgovernmenthospitalsaddisababaethiopiaacrosssectionalstudy
AT bokaabdissa nursemanagersinvolvementindecisionmakingandassociatedfactorsinselectedgovernmenthospitalsaddisababaethiopiaacrosssectionalstudy