2020
DOI: 10.34172/ijhpm.2020.190
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Cost-Sharing Effects on Hospital Service Utilization Among Older People in Fukuoka Prefecture, Japan

Abstract: Background: The cost-sharing impact on hospital service utilization of different services is a critical issue that has not been well addressed worldwide. This study aimed to investigate the cost-sharing effects based on income status on hospital service utilization of different services among elderly people in Japan and provide a comprehensive examination and discussion for the reasonability of a cost-sharing system. Methods: The data were extracted from the Latter-Stage Elderly Healthcare Insurance database i… Show more

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Cited by 8 publications
(4 citation statements)
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“…The databases we used cover more than 600,000 insured older people annually, and the penetration rate of insurance coverage is as high as 98.6% based on our previous studies. 22 The diagnoses (including dementia and AMI) that were identified using ICD-10 codes from claim databases, showed an acceptable reliability as demonstrated in previous studies, thus could be applied to studies analysing healthcare data from the Japanese insurance and long-term care claims database. 23 , 24 A previous study investigated the standardization of disease names and classifications according to ICD-10 codes showed a high degree of utility whereby only 1.9% of the data failed to converge.…”
Section: Methodsmentioning
confidence: 74%
“…The databases we used cover more than 600,000 insured older people annually, and the penetration rate of insurance coverage is as high as 98.6% based on our previous studies. 22 The diagnoses (including dementia and AMI) that were identified using ICD-10 codes from claim databases, showed an acceptable reliability as demonstrated in previous studies, thus could be applied to studies analysing healthcare data from the Japanese insurance and long-term care claims database. 23 , 24 A previous study investigated the standardization of disease names and classifications according to ICD-10 codes showed a high degree of utility whereby only 1.9% of the data failed to converge.…”
Section: Methodsmentioning
confidence: 74%
“…We also excluded individuals who had used facility services within the first 6 months after their certification. To eliminate the cases of "social hospitalization," where individuals resort to hospital admission as a substitute for long-term care service for financial reasons [ 14 ], we further excluded individuals who were at medical intuitions at their certification. As a result, our final sample consisted of only individuals who were residing at home at the time of their certification survey.…”
Section: Methodsmentioning
confidence: 99%
“…These measures help in downsizing the scale of public hospitals and improve the cost effectiveness [76,77]. Furthermore, policies such as cost-sharing can be proliferated with an aim to divert some of the inpatients from long-term stays in hospitals to community-based care facilities for conditions that do not necessitate medical intervention, especially in cases of elderly and chronic patients [78]. These policies may reduce the visit duration of single consultations and help in minimizing the overall investment for hospitals.…”
Section: Main Findings and Implicationsmentioning
confidence: 99%