Miura Motoi, Tanimoto Tetsuya, Miyata Satoshi, Murakami Masayasu, Nakata Yoshinori
Yamagata University Graduate School of Medical Sciences, Department of Health Policy Sciences, Yamagata, Japan.
Navitas Clinic Kawasaki, Kawasaki, Japan.
JMA J. 2022 Oct 17;5(4):438-445. doi: 10.31662/jmaj.2021-0195. Epub 2022 Aug 1.
In recent years, public hospitals have seen an increasing need for management reform in light of increasing social security costs due to the aging population. This study investigated the relationship between collaboration with neighboring medical institutions and management efficiency in public hospitals.
Data envelopment analysis was used to calculate the dependent variable. We used the referral rate for each public hospital as an independent variable to indicate active collaboration. Univariate and multivariate analyses examined the association between the two variables above. The adjustment variables in the multivariate analysis incorporated those variables that were considered significant in the univariate analysis when the significance level was 10% on a two-sided basis. The Tobit regression model was used in both univariate and multivariate analyses.
Ultimately, the analysis included 402 public hospitals. Approximately 8% fell into the high-collaboration group. Even after adjusting for significant variables from the univariate analysis, the inefficiency value was significantly lower in the high-collaboration group than in the low-collaboration group; namely, the efficiency value in the high-collaboration group was significantly higher than in the low-collaboration group. Moreover, hospitals with a higher ratio of subsidies to revenue had significantly lower values for management efficiency.
The analysis of the relationship between efficiency value and the percentage of referred patients in Japan indicated that higher percentages of referred patients, that is, higher degrees of cooperation, were significantly associated with higher efficiency scores.
近年来,鉴于人口老龄化导致社会保障成本不断增加,公立医院对管理改革的需求日益增长。本研究调查了公立医院与周边医疗机构合作与管理效率之间的关系。
采用数据包络分析来计算因变量。我们将每家公立医院的转诊率作为自变量,以表明积极合作的程度。单变量和多变量分析检验了上述两个变量之间的关联。多变量分析中的调整变量纳入了在单变量分析中当双侧显著性水平为10%时被认为具有显著性的变量。单变量和多变量分析均使用了托宾回归模型。
最终,分析纳入了402家公立医院。约8%属于高合作组。即使在对单变量分析中的显著变量进行调整后,高合作组的无效率值仍显著低于低合作组;也就是说,高合作组的效率值显著高于低合作组。此外,补贴与收入比率较高的医院管理效率值显著较低。
对日本效率值与转诊患者百分比之间关系的分析表明,较高的转诊患者百分比,即较高的合作程度,与较高的效率得分显著相关。