Evidence map›Paper›PMID 36407060›Full record

ArticleJMA journal2022

A Cohort Study of the Relationship between Active Collaboration and Operational Efficiency in Japanese Public Health Institutions.

Motoi Miura, Tetsuya Tanimoto, Satoshi Miyata, Masayasu Murakami, Yoshinori Nakata

Abstract read
In one paragraph

Article in JMA journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Motoi MiuraYamagata University Graduate School of Medical Sciences, Department of Health Policy Sciences, Yamagata, Japan.
Tetsuya TanimotoNavitas Clinic Kawasaki, Kawasaki, Japan.
Satoshi MiyataTeikyo University Graduate School of Public Health, Tokyo, Japan.
Masayasu MurakamiYamagata University Graduate School of Medical Sciences, Department of Health Policy Sciences, Yamagata, Japan.
Yoshinori NakataTeikyo University Graduate School of Public Health, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 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. Methods: 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. Results: 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. Conclusions: 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.

Indexed as

data envelopment analysisefficiencyJapanpublic hospital

Identifiers

PMID36407060
PMCPMC9646289

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