Sato Mikiya, Ito Tomoko, Taniguchi Yuta, Omori Chihiro, Jin Xueying, Watanabe Taeko, Takahashi Hideto, Noguchi Haruko, Tamiya Nanako
Department of Health Services Research, Faculty of Medicine, University of Tsukuba.
Human Resources Group, Sumitomo Heavy Industries, Ltd.
Nihon Koshu Eisei Zasshi. 2022 Aug 4;69(8):617-624. doi: 10.11236/jph.21-121. Epub 2022 May 12.
Objectives The national database for long-term care insurance (LTCI) of Japan (Kaigo DB) enables researchers to access comprehensive data from its LTCI registry, eligibility assessment records, claims for service usage, and information about service providers. However, studies regarding the death or mortality of beneficiaries cannot be conducted because Kaigo DB does not contain death records, and researchers are not allowed to link Kaigo DB to other databases, such as national death records. Therefore, we aimed to assess the validity of using an insurer's disqualification from an LTCI beneficiary as a proxy of death.Methods We used 510,751,798 monthly beneficiary records between April 2007 and March 2017 from the LTCI registry, while excluding data for ineligible persons for LTCI benefit or those younger than 65 years. We identified insurer cases disqualified from LTCI beneficiaries and linked them to national death records using deterministic linkage methods by dates of birth and death, sex, and residence. We considered the cases as positive if they were disqualified and their record was linked to a death. We used sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) as validity indices.Results We identified 5,986,991 (1.17%) disqualified and 5,295,961 death cases. Sensitivity, specificity, PPV, and NPV of disqualification for death were 100%, 99.86%, 88.46%, and 100%, respectively. After stratification, PPV of disqualification was between 85% and 88% before 2012, 91% after 2012, 91.9% in men, and 85.9% in women. PPV increased with age (65-69 years: 80.6%, 70-74 years: 86.7%, 75-79 years: 86.4%, 80-84 years: 86.7%, 85-89 years: 88.0%, 90-94 years: 90.6%, and 95+ years: 93.4%) and level of care needed (support level: 72.2%, care level (CL) 1: 79.7%, CL2: 85.9%, CL3: 89.3%, CL4: 92.3%, and CL5: 94.0%).Conclusions Disqualification from the LTCI registry is an inappropriate measure to estimate mortality accurately because it has a 10% false-positive rate. However, it appears sufficiently valid to use disqualification as a proxy outcome of death, although the main effect or confounding of a possible predictor of death could be slightly underestimated.
目的 日本长期护理保险(LTCI)国家数据库(护理数据库)使研究人员能够从其LTCI登记册、资格评估记录、服务使用索赔以及服务提供商信息中获取全面数据。然而,由于护理数据库不包含死亡记录,且研究人员不允许将护理数据库与其他数据库(如国家死亡记录)相链接,因此无法开展关于受益人的死亡或死亡率的研究。因此,我们旨在评估将保险公司取消LTCI受益资格用作死亡替代指标的有效性。
方法 我们使用了2007年4月至2017年3月期间来自LTCI登记册的510751798条月度受益人记录,同时排除了不符合LTCI福利资格的人员或年龄小于65岁人员的数据。我们确定了被取消LTCI受益资格的保险公司案例,并通过出生日期和死亡日期、性别和居住地,使用确定性链接方法将它们与国家死亡记录相链接。如果案例被取消资格且其记录与死亡相链接,我们将其视为阳性。我们使用敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)作为有效性指标。
结果 我们确定了5986991例(1.17%)被取消资格的案例和5295961例死亡案例。取消资格作为死亡指标的敏感性、特异性、PPV和NPV分别为100%、99.86%、88.46%和100%。分层后,2012年之前取消资格的PPV在85%至88%之间,2012年之后为91%,男性为91.9%,女性为85.9%。PPV随年龄增长而增加(65 - 69岁:80.6%,70 - 74岁:86.7%,75 - 79岁:86.4%,80 - 84岁:86.7%,85 - 89岁:88.0%,90 - 94岁:90.6%,95岁及以上:93.4%)以及所需护理级别(支持级别:72.2%,护理级别(CL)1:79.7%,CL2:85.9%,CL3:89.3%,CL4:92.3%,CL5:94.0%)。
结论 从LTCI登记册中取消资格并非准确估计死亡率的合适措施,因为其假阳性率为10%。然而,尽管死亡可能预测因素的主要效应或混杂因素可能会被略微低估,但将取消资格用作死亡的替代结果似乎具有足够的有效性。