Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan

Abstract Background In a rapidly aging society that has promoted extensive reforms of the healthcare system, clarifying functional patterns in long-term care wards is important for developing regional healthcare policies. This study aimed to classify patterns of inpatient characteristics among Japan...

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Main Authors: Ayumi Igarashi, Noriko Yamamoto-Mitani, Kojiro Morita, Hiroki Matsui, Claudia K.Y. Lai, Hideo Yasunaga
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Health Services Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12913-018-3468-0
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author Ayumi Igarashi
Noriko Yamamoto-Mitani
Kojiro Morita
Hiroki Matsui
Claudia K.Y. Lai
Hideo Yasunaga
author_facet Ayumi Igarashi
Noriko Yamamoto-Mitani
Kojiro Morita
Hiroki Matsui
Claudia K.Y. Lai
Hideo Yasunaga
author_sort Ayumi Igarashi
collection DOAJ
description Abstract Background In a rapidly aging society that has promoted extensive reforms of the healthcare system, clarifying functional patterns in long-term care wards is important for developing regional healthcare policies. This study aimed to classify patterns of inpatient characteristics among Japanese long-term care wards and to examine hospital/ward characteristics. Methods We analyzed data from 1856 long-term care wards extracted from the 2014 Annual Report for Functions of Medical Institutions in Japan. We classified five clusters of long-term care wards based on inpatients’ medical acuity/activities of daily living using cluster analysis, and compared hospital/ward characteristics across the clusters with a chi-square test or analyses of variance. Results Cluster 1 was low medical acuity/high activities of daily living (n = 175); cluster 2, medium medical acuity/high activities of daily living (n = 340); cluster 3, medium medical acuity/low activities of daily living (n = 461); cluster 4, high medical acuity/low activities of daily living (n = 409); and cluster 5, mixed (n = 471). Although clusters 1 and 2 had similar higher proportions of home discharge (48.1% and 34.6%, respectively), there was a difference in length of hospital stay between the clusters (154.6 and 216.6 days, respectively). On the other hand, clusters 3 and 4 experienced a longer length of hospital stay (295.7 and 239.8 days, respectively) and a higher proportion of in-hospital deaths (42.7% and 50.2%, respectively). Characteristics of cluster 5 were not significantly different from the average of overall wards. Conclusions There were distinctive differences across hospitals in their use of long-term care wards. Wards with different functions have different support needs; the clusters with high activities of daily living needed support in promoting home discharge, while those with low activities of daily living needed support in providing quality end-of-life care. Our results can be useful for constructing the future regional healthcare system. This study also suggests introducing a standardized patient classification system in long-term care settings.
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spelling doaj.art-fbe9d8bf688447f186a4324c6f5cc6642022-12-22T01:07:18ZengBMCBMC Health Services Research1472-69632018-08-011811810.1186/s12913-018-3468-0Classification of long-term care wards and their functional characteristics: analysis of national hospital data in JapanAyumi Igarashi0Noriko Yamamoto-Mitani1Kojiro Morita2Hiroki Matsui3Claudia K.Y. Lai4Hideo Yasunaga5Department of Gerontological Home Care and Long-term Care Nursing, School of Health Sciences & Nursing, Graduate School of Medicine, The University of TokyoDepartment of Gerontological Home Care and Long-term Care Nursing, School of Health Sciences & Nursing, Graduate School of Medicine, The University of TokyoDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of TokyoDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of TokyoSchool of Nursing, The Hong Kong Polytechnic UniversityDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of TokyoAbstract Background In a rapidly aging society that has promoted extensive reforms of the healthcare system, clarifying functional patterns in long-term care wards is important for developing regional healthcare policies. This study aimed to classify patterns of inpatient characteristics among Japanese long-term care wards and to examine hospital/ward characteristics. Methods We analyzed data from 1856 long-term care wards extracted from the 2014 Annual Report for Functions of Medical Institutions in Japan. We classified five clusters of long-term care wards based on inpatients’ medical acuity/activities of daily living using cluster analysis, and compared hospital/ward characteristics across the clusters with a chi-square test or analyses of variance. Results Cluster 1 was low medical acuity/high activities of daily living (n = 175); cluster 2, medium medical acuity/high activities of daily living (n = 340); cluster 3, medium medical acuity/low activities of daily living (n = 461); cluster 4, high medical acuity/low activities of daily living (n = 409); and cluster 5, mixed (n = 471). Although clusters 1 and 2 had similar higher proportions of home discharge (48.1% and 34.6%, respectively), there was a difference in length of hospital stay between the clusters (154.6 and 216.6 days, respectively). On the other hand, clusters 3 and 4 experienced a longer length of hospital stay (295.7 and 239.8 days, respectively) and a higher proportion of in-hospital deaths (42.7% and 50.2%, respectively). Characteristics of cluster 5 were not significantly different from the average of overall wards. Conclusions There were distinctive differences across hospitals in their use of long-term care wards. Wards with different functions have different support needs; the clusters with high activities of daily living needed support in promoting home discharge, while those with low activities of daily living needed support in providing quality end-of-life care. Our results can be useful for constructing the future regional healthcare system. This study also suggests introducing a standardized patient classification system in long-term care settings.http://link.springer.com/article/10.1186/s12913-018-3468-0Cluster analysisHealthcare policyHealthcare reformHospitalLong-term care ward
spellingShingle Ayumi Igarashi
Noriko Yamamoto-Mitani
Kojiro Morita
Hiroki Matsui
Claudia K.Y. Lai
Hideo Yasunaga
Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan
BMC Health Services Research
Cluster analysis
Healthcare policy
Healthcare reform
Hospital
Long-term care ward
title Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan
title_full Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan
title_fullStr Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan
title_full_unstemmed Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan
title_short Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan
title_sort classification of long term care wards and their functional characteristics analysis of national hospital data in japan
topic Cluster analysis
Healthcare policy
Healthcare reform
Hospital
Long-term care ward
url http://link.springer.com/article/10.1186/s12913-018-3468-0
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