Potentially avoidable hospitalizations, non-potentially avoidable hospitalizations and in-hospital deaths among residents of long-term care facilities
Potentially avoidable hospitalizations, non-potentially avoidable hospitalizations and in-hospital deaths among residents of long-term care facilities
复制标题
DOI:
10.1111/ggi.13458
复制
发表时间:
2018-08-01
影响因子:
3.3
通讯作者:
Ishizaki, Tatsuro
中科院分区:
文献类型:
--
作者:
Jeon, Boyoung;Tamiya, Nanako;Ishizaki, Tatsuro
AimThe present study aimed to examine the percentage of and risk factors for potentially avoidable hospitalizations (PAH), non-PAH and in-hospital deaths among residents of special nursing homes for the elderly (SNH) and geriatric health service facilities (GHSF).MethodsLong-term care and national health insurance claims data (April 2012 to September 2013) were obtained from a suburban city in Chiba prefecture, Japan. Study participants were aged 75 years and resided in either SNH (n = 1138) or GHSF (n = 885). The PAH were defined using 17 medical condition groups, and the percentage of PAH, non-PAH and in-hospital deaths was identified, and associated factors were compared using multilevel logistic regression models for SNH and GHSF, respectively.ResultsA total of 34.5% SNH residents experienced any hospitalization, and this was composed of PAH (16.3%), non-PAH (12.2%) or in-hospital deaths (6.1%). Of the GHSF residents, 23.8% experienced any hospitalization, and this was comprised of PAH (9.5%), non-PAH (10.6%) and in-hospital death (3.7%). More than 70% of the PAH were related to respiratory infections, urinary tract infections or congestive heart failure. In both SNH and GHSF, artificial nutrition was positively associated with PAH and non-PAHs, and male sex was positively associated with non-PAHs and in-hospital deaths. However, there were also discrepancies between SNH and GHSF in terms of risk factors for PAH.ConclusionsThe percentage of PAH was higher in SNH than in GHSF, which might be related to their different personnel and managerial regulations. The linkage of health and long-term care claims data might facilitate data-based evidence on policy-making. Geriatr Gerontol Int 2018; 18: 1272-1279.