Leadership Succession Planning for Professional Nurses in a Selected Public Hospital in Mangaung District, Free State Province: A Study Protocol

Lack of leadership succession planning in South African public hospitals places nursing leadership at great risk instead of improving healthcare. There is a significant demand for nurse managers in the Free State Province; therefore, leadership succession planning is important. The re-advertising of unfilled leadership roles, the projected volume of nurse managers who will be retiring, and the number of professional nurses opting for better international opportunities indicate the need for effective succession planning. The study aims to determine leadership succession planning for professional nurses in a selected public hospital in the Mangaung District, Free State Province. A qualitative, explorative, and descriptive research design will be used. Non-probability purposive sampling will be adopted to explore the leadership succession planning. The research participants will consist of professional nurses who are currently permanently employed within the Mangaung district, Free State Province. The sample size will be determined by data saturation. An estimated sample size of ±20 participants will be expected. Data collection will be performed through in-depth, unstructured interviews to answer the research question. A central place for interviews will be organised, and appointments will be made with participants as per their schedule or availability. Data will be analysed using Braun and Clarke's thematic method. The conclusion and the recommendations will be based on the findings of the study.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2025-12-18
DOI
https://doi.org/10.3390/healthcare13243313
Primary Topic
Human Resource and Talent Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leadership Succession Planning for Professional Nurses in a Selected Public Hospital in Mangaung District, Free State Province: A Study Protocol

Takalani Rhoda Luhalima, Aluwani D. Mudzweda, Lebogang G. Motlhaole
Healthcare
Human Resource and Talent Management
article

Leadership Succession Planning for Professional Nurses in a Selected Public Hospital in Mangaung District, Free State Province: A Study Protocol

Takalani Rhoda Luhalima, Aluwani D. Mudzweda, Lebogang G. Motlhaole
article en

Abstract

Lack of leadership succession planning in South African public hospitals places nursing leadership at great risk instead of improving healthcare. There is a significant demand for nurse managers in the Free State Province; therefore, leadership succession planning is important. The re-advertising of unfilled leadership roles, the projected volume of nurse managers who will be retiring, and the number of professional nurses opting for better international opportunities indicate the need for effective succession planning. The study aims to determine leadership succession planning for professional nurses in a selected public hospital in the Mangaung District, Free State Province. A qualitative, explorative, and descriptive research design will be used. Non-probability purposive sampling will be adopted to explore the leadership succession planning. The research participants will consist of professional nurses who are currently permanently employed within the Mangaung district, Free State Province. The sample size will be determined by data saturation. An estimated sample size of ±20 participants will be expected. Data collection will be performed through in-depth, unstructured interviews to answer the research question. A central place for interviews will be organised, and appointments will be made with participants as per their schedule or availability. Data will be analysed using Braun and Clarke's thematic method. The conclusion and the recommendations will be based on the findings of the study.

HealthcareVol. 13(24)
University of Venda (ZA)
University of Venda
Openalex Percentile: Top 53%
Human Resource and Talent Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.