Factors of health resource manangement-affecting efectiveness of public health service provision for elderly people with dependency in the community of subdistrict health promoting hospital, health area 6 Thailand
Abstract:
This research aimed to study personal factor, public health resource factor, management process factor affecting the effectiveness of public health services for dependent elderly people in the community. The sample was representatives of service providers who worked in the sub-district health promoting hospital in Regional Health 6. This study used a stratified sampling method to select totally 252 cases. The data were analyzed by descriptive statistics and analytical statistics as follows: Chi-Square test, Pearson's correlation coefficient and stepwise multiple regression. The results showed that overall, the effectiveness of public health services was at a high level (Mean = 3.96, S.D. = 0.54). The factor of public health resource management that correlated with the effectiveness of public health services for dependent elderly people in the community showed that the Personal factor comprised of the training of care manager (X2 = 8.603, p-value < 0.014) and the Public health resource factor comprised of the personnel (r = 0.504, p-value < 0.001), the budgeting (r = 0.423, p-value < 0.001), the pharmaceutical supplies (r = 0.467, p-value < 0.001), the information technology (r = 0.451, p-value < 0.001), and the institutional organization, then the Management process factor comprised of the planning (r = 0.686, p-value < 0.001), the organizational management (r = 0.531, pvalue < 0.001), the staffing (r = 0.537, p-value < 0.001), the directing and coordinating (r = 0670, p-value < 0.001), and the reporting and controlling (r = 0.657, p-value < 0.001) respectively. Factors in planning, directing and coordinating, personnel, care manager, and reporting and controlling can be predicted the effectiveness of public health services for dependent elderly people in the community by 56.3% (R = 0.751, R2 = 0.563). The prediction equation can be written in form of raw score and standard score as follows: The forecasting equation of raw score: Y = 1.514 + 0.267(PP) + 0.198(PD) + 0.111(RM) - 0.147 (CM) + 0.140(PR) The forecasting equation of standard score: Z = 0.300(PP) + 0.238(PD) + 0.144(RM) - 0.105 (CM) + 0.166(PR)