Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center
BackgroundBurnout is a prevalent condition in the healthcare sector, and although it has been extensively studied among healthcare professionals, less is known about its impact on non-professional workers, particularly in low-resource settings. This study aimed to test a preliminary predictive model...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1519930/full |
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| author | Grey Castro-Tamayo Mario Hernandez-Tapia Ivan David Lozada-Martinez Ivan Portnoy Jessica Manosalva-Sandoval Tobías Parodi-Camaño |
| author_facet | Grey Castro-Tamayo Mario Hernandez-Tapia Ivan David Lozada-Martinez Ivan Portnoy Jessica Manosalva-Sandoval Tobías Parodi-Camaño |
| author_sort | Grey Castro-Tamayo |
| collection | DOAJ |
| description | BackgroundBurnout is a prevalent condition in the healthcare sector, and although it has been extensively studied among healthcare professionals, less is known about its impact on non-professional workers, particularly in low-resource settings. This study aimed to test a preliminary predictive model based on basic socioeconomic and sociodemographic determinants to predict symptoms of burnout among support personnel and health services managers in a resource-limited health center.MethodsA prospective cross-sectional study was conducted. Using simple random sampling, symptoms of burnout were surveyed among health service managers and support personnel using the Maslach Burnout Inventory (MBI). Statistical analyses included correlation tests and predictive models using random forest models to identify significant associations and cast predictions.ResultsA total of 76 participants were included. Of these, 34.21% exhibited high levels of emotional exhaustion (EE), 42.11% showed elevated depersonalization (DP), and 7.89% reported low personal accomplishment (PA). Significant negative correlations were observed between household income and the EE and DP dimensions. The predictive models demonstrated acceptable performance in identifying socioeconomic factors associated with burnout, with prediction errors ranging from 7.68% to 20.31%.ConclusionsBurnout is common among support personnel and health services managers in resource-limited settings, particularly among those with lower incomes. The findings underscore the importance of implementing policies that address both working conditions and economic well-being to mitigate the risk of burnout. More robust predictive models could serve as a valuable tool for early identification and prevention of burnout in this type of setting. |
| format | Article |
| id | doaj-art-e2e5e7eeb0534cc4896598a05df9e0e5 |
| institution | Kabale University |
| issn | 1664-0640 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj-art-e2e5e7eeb0534cc4896598a05df9e0e52025-01-09T06:10:05ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-01-011510.3389/fpsyt.2024.15199301519930Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health centerGrey Castro-Tamayo0Mario Hernandez-Tapia1Ivan David Lozada-Martinez2Ivan Portnoy3Jessica Manosalva-Sandoval4Tobías Parodi-Camaño5Universidad de la Costa, Barranquilla, ColombiaUniversidad de la Costa, Barranquilla, ColombiaBiomedical Scientometrics and Evidence-Based Research Unit, Department of Health Sciences, Universidad de la Costa, Barranquilla, ColombiaUniversidad de la Costa, Barranquilla, ColombiaUniversidad de la Costa, Barranquilla, ColombiaUniversidad de Córdoba, Montería, ColombiaBackgroundBurnout is a prevalent condition in the healthcare sector, and although it has been extensively studied among healthcare professionals, less is known about its impact on non-professional workers, particularly in low-resource settings. This study aimed to test a preliminary predictive model based on basic socioeconomic and sociodemographic determinants to predict symptoms of burnout among support personnel and health services managers in a resource-limited health center.MethodsA prospective cross-sectional study was conducted. Using simple random sampling, symptoms of burnout were surveyed among health service managers and support personnel using the Maslach Burnout Inventory (MBI). Statistical analyses included correlation tests and predictive models using random forest models to identify significant associations and cast predictions.ResultsA total of 76 participants were included. Of these, 34.21% exhibited high levels of emotional exhaustion (EE), 42.11% showed elevated depersonalization (DP), and 7.89% reported low personal accomplishment (PA). Significant negative correlations were observed between household income and the EE and DP dimensions. The predictive models demonstrated acceptable performance in identifying socioeconomic factors associated with burnout, with prediction errors ranging from 7.68% to 20.31%.ConclusionsBurnout is common among support personnel and health services managers in resource-limited settings, particularly among those with lower incomes. The findings underscore the importance of implementing policies that address both working conditions and economic well-being to mitigate the risk of burnout. More robust predictive models could serve as a valuable tool for early identification and prevention of burnout in this type of setting.https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1519930/fullpsychological burnoutrisk factorshospital personnelresource-limited settingshealth services |
| spellingShingle | Grey Castro-Tamayo Mario Hernandez-Tapia Ivan David Lozada-Martinez Ivan Portnoy Jessica Manosalva-Sandoval Tobías Parodi-Camaño Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center Frontiers in Psychiatry psychological burnout risk factors hospital personnel resource-limited settings health services |
| title | Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center |
| title_full | Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center |
| title_fullStr | Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center |
| title_full_unstemmed | Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center |
| title_short | Predictive modeling of burnout dimensions based on basic socio-economic determinants in health service managers and support personnel in a resource-limited health center |
| title_sort | predictive modeling of burnout dimensions based on basic socio economic determinants in health service managers and support personnel in a resource limited health center |
| topic | psychological burnout risk factors hospital personnel resource-limited settings health services |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1519930/full |
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