{"title":"[Evaluation of the Performance of Health Systems by Prefecture].","authors":"Hisato Nakajima, Kouya Yano","doi":"10.1265/jjh.18028","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To clarify the performance of health systems (performance), the state of prefectures was investigated.</p><p><strong>Methods: </strong>Using the method developed by the Organisation for Economic Co-operation and Development, we conducted the study using 27 indicators. To evaluate the performance, we examined the signal-to-noise ratio of transcription (η) by integrating indicators using the Mahalanobis-Taguchi method. The η was separated by a median. The ratio of prefectures in East or West Japan and the presence or absence of ordinance-designated cities were studied using the chi-square test. Furthermore, the correlation among the total component η (T-η), each component η, and expenditures, and the correlation between T-η and life expectancy, were studied.</p><p><strong>Results: </strong>The T-η positively correlated with the risk factors (RF)-η and the resources (R)-η, and negatively correlated with the health status (HS)-η. The number pf prefectures without ordinance-designated cities where the T-η and RF-η exceeded the median was large. The number of prefectures with ordinance-designated cities where the HS-η exceeded the median was also large. In addition, there were many prefectures where the T-η was in the top 25% in West Japan. There were positive correlations between the total expenditures and the T-η, the expenditures and the RF-η, and the expenditures and the R-η. There was a negative correlation between the expenditures and the HS-η, and the T-η and the life expectancy.</p><p><strong>Conclusions: </strong>For life expectancy, prefectures with too good performance were recognized. In these prefectures, correction of resources is necessary.</p>","PeriodicalId":35643,"journal":{"name":"Japanese Journal of Hygiene","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1265/jjh.18028","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japanese Journal of Hygiene","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1265/jjh.18028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To clarify the performance of health systems (performance), the state of prefectures was investigated.
Methods: Using the method developed by the Organisation for Economic Co-operation and Development, we conducted the study using 27 indicators. To evaluate the performance, we examined the signal-to-noise ratio of transcription (η) by integrating indicators using the Mahalanobis-Taguchi method. The η was separated by a median. The ratio of prefectures in East or West Japan and the presence or absence of ordinance-designated cities were studied using the chi-square test. Furthermore, the correlation among the total component η (T-η), each component η, and expenditures, and the correlation between T-η and life expectancy, were studied.
Results: The T-η positively correlated with the risk factors (RF)-η and the resources (R)-η, and negatively correlated with the health status (HS)-η. The number pf prefectures without ordinance-designated cities where the T-η and RF-η exceeded the median was large. The number of prefectures with ordinance-designated cities where the HS-η exceeded the median was also large. In addition, there were many prefectures where the T-η was in the top 25% in West Japan. There were positive correlations between the total expenditures and the T-η, the expenditures and the RF-η, and the expenditures and the R-η. There was a negative correlation between the expenditures and the HS-η, and the T-η and the life expectancy.
Conclusions: For life expectancy, prefectures with too good performance were recognized. In these prefectures, correction of resources is necessary.