# Protocol for Factors Influencing Burnout and Its Impact on Nurse Retention in the Selected District Hospital, Eastern Cape

**Authors:** Ezile Ndamase, Eric Maimela, Ntiyiso Vinny Khosa

PMC · DOI: 10.3390/ijerph23020214 · International Journal of Environmental Research and Public Health · 2026-02-09

## TL;DR

This study explores how burnout affects nurse retention in a district hospital in the Eastern Cape, South Africa, and aims to identify factors contributing to burnout and its impact on staff retention.

## Contribution

The study introduces a structured protocol to investigate burnout factors and their influence on nurse retention in a specific South African district hospital.

## Key findings

- Burnout is linked to high workload, staff shortages, and limited resources in district hospitals.
- Quantitative methods will identify predictors of burnout and inform targeted interventions.
- Findings will guide strategies to improve nurse retention and patient care quality.

## Abstract

Burnout among nurses remains a major challenge in South Africa’s public healthcare system, particularly in district hospitals where high workloads, staff shortages, and limited resources are common. In the Eastern Cape, the demands of rural healthcare further exacerbate stress, leading to emotional exhaustion, reduced professional accomplishment, and high turnover rates. This study aims to investigate the factors influencing burnout and its impact on nurse retention at St. Elizabeth Hospital in the Eastern Cape. A quantitative, cross-sectional design will be employed using stratified random sampling, with hospital departments serving as strata. A total of 209 nurses will be selected using Slovin’s formula. Data will be collected through a structured questionnaire incorporating the Burnout Assessment Tool, Maslach Burnout Inventory, Personal Accomplishment Subscale, and a Burnout Knowledge and Response Survey. Descriptive statistics will summarize demographic and burnout characteristics, while chi-square tests, t-tests/ANOVA, Pearson correlation, and multiple regression analyses will identify associations and predictors. The study will generate evidence-based insights to guide the development of targeted interventions, including workload redistribution, enhanced managerial support, and wellness initiatives. Ultimately, improving nurse retention will enhance workforce stability, promote staff well-being, and strengthen the quality of patient care in Eastern Cape district hospitals.

## Full-text entities

- **Diseases:** injury to (MESH:D014947), fatigue (MESH:D005221), Burnout (MESH:D002055), emotional exhaustion (MESH:D006359), cognitive impairment (MESH:D003072)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12941161/full.md

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Source: https://tomesphere.com/paper/PMC12941161