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COMPETENCY PREDICTION EQUATION FOR THE PERFORMANCE OF ACADEMIC HEALTH PERSONNEL IN SUB-DISTRICT HEALTH PROMOTING HOSPITALS IN THE NORTHEASTERN REGION OF THAILAND

This cross-sectional analytical study aimed to investigate the competency prediction equation for the performance of academic health personnel in sub-district health-promoting hospitals in the northeastern region of Thailand. There were 712 participants in the study. A questionnaire was used for data collection, and stepwise multiple regression analysis was used to analyze the data with a set statistical significance level of 0.05. The results from the study revealed that the competency prediction equation for the performance of academic health personnel offered the rough value by 23.80%, R2= 0.238, AdjR2 = 0.227) from 10 variables (from the total of 20 variables). The values with the highest statistical significance were arranged in order as follow: there are 4 variables with p-value < 0.001, i.e., age, the number of training related to tasks in responsibility within the past one year, the highest education level (Bachelor's degree), and gender (female) and another 6 variables consisting of a length of time working in sub-district health promoting hospitals, p-value = 0.001; the number of job training within the past one year, p-value = 0.013; the training related to tasks in responsibility within the past one year, p-value = 0.008; public health administration, p-value = 0.038; public health academic affairs, p-value = 0.028; epidemiology service, disease prevention, and control, and health risk, p-value = 0.019. The findings of this research would be applied as the guidelines to prepare a plan to develop the competency of academic health personnel in Sub-district health-promoting hospitals to promote operational expertise.