Evaluating the healthcare practice by defining healthcare principles: An autoregressive integrated moving average model based on time series

Jingjing Yan

International Journal of Health Planning and Management, 2021, vol. 36, issue 2, 561-578

Abstract: Aim This study developed a set of health care principles to evaluate the health care practice in China long‐term via time series. Methods This study was divided into four parts. First, the variables were designed by defining a set of conceptual tools. Second, qualitative text was collected and coded according to the defined conceptual tools. Third, the sampling text was qualitatively analysed. Fourth, the variables were analysed through an autoregressive integrated moving average model based on a time series. Lastly, the qualitative and variable analyses were combined and the basic conclusions of the study were drawn. Results We found that the health care principle of accessibility was significantly positively affected by abnormal event, policy experimentation and policy authority shift. Quality was found to be significantly positively affected by policy experimentation and policy authority shift, while cost control was significantly positively affected by policy experimentation. Conclusion This study implies that the collective activities of the government and health care practitioners, such as abnormal events, policy failures, policy experimentations and policy authority shifts, as well as health care practice itself, become increasingly interconnected over time.

Date: 2021
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