AIM: To determine the prevalence of burnout among health workers and bankers in Aba South Local Government Area in Abia State. MATERIALS AND METHODS: A cross-sectional, descriptive study was carried out in 2013 among health workers and bankers in Aba metropolis. By multistage sampling method, proportionate number of the health workers and bankers were selected. The study instrument was Freudenberger Burnout Scale. RESULTS: A total of 327 health workers and bankers were studied: 253 (77.4%) were health workers while 74 (22.6%) were bankers. The age range was 21 to 59 years, and 229 (70.0%) were females. Most (48.3%) had worked for 5 years or less and had burnout scores within 0-25. There was significant difference between gender ( P = 0.017), level of education ( P = 0.038), and type of occupation ( P = 0.002) to burnout score. Age ( P = 0.956), marital status ( P = 0.461), and years of work ( P = 0.247) did not significantly affect burnout score. Female health workers were significantly more at risk of burning out compared to their male counterparts. Among bankers, however, though females were more at risk, this was not significant. Sex, level of education and type of work were the greatest contributors to burnout score. CONCLUSION: The prevalence of burnout risk among health workers and bankers is high. More female health workers are at risk of burnout than male health workers. There should be policies aimed at identifying those most at risk and reducing the prevalence.
AIM: To determine the prevalence of burnout among health workers and bankers in Aba South Local Government Area in Abia State. MATERIALS AND METHODS: A cross-sectional, descriptive study was carried out in 2013 among health workers and bankers in Aba metropolis. By multistage sampling method, proportionate number of the health workers and bankers were selected. The study instrument was Freudenberger Burnout Scale. RESULTS: A total of 327 health workers and bankers were studied: 253 (77.4%) were health workers while 74 (22.6%) were bankers. The age range was 21 to 59 years, and 229 (70.0%) were females. Most (48.3%) had worked for 5 years or less and had burnout scores within 0-25. There was significant difference between gender ( P = 0.017), level of education ( P = 0.038), and type of occupation ( P = 0.002) to burnout score. Age ( P = 0.956), marital status ( P = 0.461), and years of work ( P = 0.247) did not significantly affect burnout score. Female health workers were significantly more at risk of burning out compared to their male counterparts. Among bankers, however, though females were more at risk, this was not significant. Sex, level of education and type of work were the greatest contributors to burnout score. CONCLUSION: The prevalence of burnout risk among health workers and bankers is high. More female health workers are at risk of burnout than male health workers. There should be policies aimed at identifying those most at risk and reducing the prevalence.