Global Journal of Neurology and Neurosurgery received 111 citations as per Google Scholar report
Narongsak Noosorn1 * and Rung Wongwat2
The objectives of this research study were to study the predictors of burnout relationships between factors that contribute to burnout among health personnel in different Primary Care Units in the lower northern region of Thailand. The population consisted of 490 community health personnel. The questionnaire developed for this study was based on the Maslach Burnout Inventory. The data analysis was done for percentage, mean, standard deviation, Pearson Product Moment Correlation Coefficient and stepwise multiple regression analysis. The results showed that: workload, policy, income, equity, relationship with executives, the days of work overtime per month, relationship with colleagues, relationship with consumer were significant predictors which were accounted for the variance of burnout at 47.8% (F = 19.137, P < 0.001)
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