dc.contributor.author | Kabunga, Amir | |
dc.contributor.author | Okalo, Ponsiano | |
dc.date.accessioned | 2022-05-30T08:24:42Z | |
dc.date.available | 2022-05-30T08:24:42Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Kabunga, A., & Okalo, P. (2021). Frontline nurses' post-traumatic stress disorder and associated predictive factors during the second wave of COVID-19 in central, uganda. Neuropsychiatric Disease and Treatment, 17, 3627-3633. https://login.research4life.org/tacsgr1doi_org/10.2147/NDT.S340771 | en_US |
dc.identifier.uri | https://login.research4life.org/tacsgr1doi_org/10.2147/NDT.S340771 | |
dc.identifier.uri | https://hdl.handle.net/123456789/405 | |
dc.description.abstract | Aim: This study aimed to assess the prevalence and associated contextual factors of compassion fatigue in nurses in Kampala.Design: This study employed a cross-sectional study design.Methods: Participants included 395 nurses. They provided details about their demo-graphic information. Stamm's Professional Quality of Life V-5 was used to assess the levels of compassion fatigue. Statistical analysis included Pearson's chi-square and Fischer's exact test, bivariate and multivariate logistic regression. A p- value of <.05 was considered statistically significant.Results: Of the total 395 participants, 58.23% (N= 230) were female, 39.76% had a diploma, 47.09% were single, 43.54% had worked for 11–15 years, 54.94% had an ex-posure to COVID-19 cases and 43.54% worked for more than 10 hr a day. 49.11% had high levels of compassion fatigue. The predictors of compassion fatigue were working experience (p- value=<.001), exposure to COVID-19 (p- value=<.019), long working hours (p- value= .003) and remuneration (p- value=<.001). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Neuropsychiatric Disease and Treatment | en_US |
dc.subject | compassion fatigue | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | nurses | en_US |
dc.subject | remuneration | en_US |
dc.title | Frontline nurses' compassion fatigue and associated predictive factors during the second wave of COVID-19 in Kampala, Uganda | en_US |
dc.type | Article | en_US |