ArticleInternational journal of environmental research and public health2026
Protocol for Factors Influencing Burnout and Its Impact on Nurse Retention in the Selected District Hospital, Eastern Cape.
Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Financing Regimes and Case-Mix Complexity in Psychiatric Hospitals Beyond the Pandemic Shock-Insights from a Regional European Healthcare System.Healthcare (Basel, Switzerland) · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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,
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