Level: Beginner
【Presenter】
Shiho Samura, Keio University Graduate School of Health Management Department of Medical Management
[Presentation overview]
Of the three aspects of Donabedian's medical quality evaluation, this study focused on the structure of medical function evaluation, and conducted a factor analysis on the rate of medical accidents, which is one of the outcome indicators. Purpose. Therefore, by creating a conceptual diagram and a cause-and-effect diagram that summarizes the outline, the analysis items were clarified. Decatur) created the dataset. In this study, Saiseikai-affiliated hospitals, which collect and publish clinical indices using consistent evaluation criteria and survey methods, were selected as the target hospitals for analysis. As a result of multiple regression analysis, the higher the evaluation of the review items related to "hospital policy decisions on clinical ethical issues," "safety assurance system," "recuperation environment improvement," and "medical device management function," the higher the risk of medical accidents (3B or higher). It was clear that the incidence of accidents was low.
[Presenter profile]
I majored in nursing at university, and since my second year, I have been working on first-visit patient satisfaction surveys at clinics. The research was presented orally at Discovery Summit Japan 2021, and it was an opportunity to receive various opinions (2021-JA-25MP-08). Currently, I am majoring in medical management in graduate school, and I am learning about "quality of medical care" through classes such as "medical policy and management" and "medical function evaluation theory." Until now, my research has focused only on the outcome of patient satisfaction. ), process, and outcome, we decided to add the viewpoint of structure. This time, I would like to present what I worked on in a graduate school class called "Quality Management," where I mainly learned about multiple regression analysis.
[Collection of papers]
To the paper collection site
https://community.jmp.com/t5/Discovery-Summit-Japan-2022/Discovery-Summit-Japan-2022-%E8%AB%96%E6%96%87%E9%9B%86/ta-p /568396
