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Burnout and quality of life among healthcare workers in central Uganda

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dc.contributor.author Amir, KabungaI
dc.contributor.author Kigongo, Eustes
dc.contributor.author Okalo, Ponsiano
dc.contributor.author Udho, Samson
dc.contributor.author Auma, Anna Grace
dc.contributor.author Tumwesigye, Raymond
dc.contributor.author Akello, Anne Ruth
dc.contributor.author Musinguzi, Marvin
dc.contributor.author Acup, Walter
dc.contributor.author Nabaziwa, Jannat
dc.contributor.author Shikanga, Enos Mwirotsi
dc.contributor.author Namat, Haliama
dc.date.accessioned 2024-08-21T09:57:57Z
dc.date.available 2024-08-21T09:57:57Z
dc.date.issued 2024-08
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/9351
dc.description.abstract The widespread problem of burnout among healthcare workers is not only common but also a significant concern that impacts the entire healthcare system in Uganda. It is essential to understand the connection between burnout and quality of life among healthcare workers in the specific context of central Uganda, where healthcare professionals face high patient volumes, limited resources, exposure to infectious diseases, and socioeconomic challenges. This study examined the relationship between burnout and quality of life among healthcare workers in central Uganda.This research utilized a cross-sectional study conducted across various healthcare settings in central Uganda. The data were analyzed at descriptive, bivariate, and multivariate levels. The relationship between dependent and independent variables was evaluated using an independent t-test for binary variables and a one-way analysis of variance (ANOVA) for categorical variables. Significance was determined with a reported p-value, with relationships deemed significant at p < 0.2. For multivariable analysis, multiple linear regression was employed using a forward selection method, with significance set at 5% (p < 0.05).Our findings indicate that nearly 40% of healthcare workers reported experiencing high levels of burnout. The average score for overall quality of life was 10.71 (±4.89), with variations observed across different domains. The study reveals a significant connection between socio-demographic factors, burnout, and overall quality of life, emphasizing the impact of job category, supervisory support, sleep quality, and burnout on the well-being of healthcare workers. Predictive analysis illustrates how these factors influence both overall quality of life scores and scores in specific domains. Particularly noteworthy is that nurses and technicians tend to have a lower quality of life compared to physicians. The results underscore the relationship between socio-demographic factors, burnout, and particular aspects of quality of life. Notably, job category, supervisory support, sleep quality, and burnout stand out as significant factors shaping the well-being of healthcare workers. Nurses and technicians encounter distinct challenges, suggesting the need for interventions tailored to their needs. Addressing issues such as inadequate supervisory support, burnout, and sleep-related problems is recognized as a potential approach to improving the overall quality of life among healthcare workers. en_US
dc.language.iso en en_US
dc.publisher PLOS en_US
dc.subject Burnout en_US
dc.title Burnout and quality of life among healthcare workers in central Uganda en_US
dc.type Thesis en_US


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