Department of Health Services Policy and Practice, Brown University, Providence, Rhode Island.
Department of Social & Behavioral Sciences, University of California, San Francisco, Sausalito.
JAMA Netw Open. 2024 Oct 1;7(10):e2439499. doi: 10.1001/jamanetworkopen.2024.39499.
Diseases have historically prompted individual relocations to mitigate the risk of disease acquisition or improve access to care. As dementia prevalence increases, comprehending the migration patterns of affected individuals is vital for public policy.
To quantify the association of dementia diagnosis with migration patterns by examining the proportion of individuals with dementia who relocate, the timing of their moves relative to diagnosis, and the nature of their new living arrangements, whether in institutional settings or different households.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study leveraged a comprehensive dataset of national Medicare claims and assessments spanning from 2012 to 2020, including Medicare Beneficiary Summary File and nursing home administrative datasets. The study focused on beneficiaries who received diagnoses in 2016 of dementia, myocardial infarction, chronic obstructive pulmonary disease, or colon cancer. Analyses were performed from March 2023 to August 2024.
The primary outcome was migration, defined as change in county or state. The analysis distinguished between migrations with and without a nursing home stay. By tracking patients' residential county for 4 years before and after diagnosis, a difference-in-differences approach was used to contrast migration tendencies associated with dementia against the other 3 conditions.
The sample included 1 626 127 Medicare beneficiaries (mean [SD] age, 80.1 [8.0] years; 922 194 women [56.7%]) who received diagnoses of the 4 conditions in 2016. In total, 818 862 had a new dementia diagnosis (age, 82.0 [7.8] years; 492 146 women [60.1%]). Comparing between the prediagnosis and postdiagnosis months, the proportion migrating to a different county increased by 8.5 percentage points (95% CI, 7.6-9.4 percentage points) for individuals with dementia and between 4.2 to 5.8 percentage points among those with myocardial infarction, chronic obstructive pulmonary disease, or colon cancer. The difference-in-difference estimates indicated a 3.9 percentage point (95% CI, 3.7-4.0 percentage points) increase in intercounty migration and a 1.9 percentage point (95% CI, 1.8-2.0 percentage points) increase in interstate migration for patients with dementia, effectively doubling the likelihood of migration compared with the other conditions. Of the excess migrations resulting from dementia diagnosis, 55% occurred in community settings, and 45% occurred in institutional settings.
In this retrospective cohort study of Medicare fee-for-service beneficiaries, dementia was associated with a marked increase in migration rates over other major illnesses. This finding underscores the need to understand the factors associated with these distinct migration behaviors.
历史上,疾病促使个人迁移以减轻疾病感染风险或改善获得医疗的机会。随着痴呆症的患病率增加,了解受影响个体的迁移模式对于公共政策至关重要。
通过检查痴呆症患者的迁移比例、相对于诊断的迁移时间以及他们的新居住安排(无论是在机构环境中还是不同的家庭中),来量化痴呆症诊断与迁移模式之间的关联。
设计、设置和参与者:这项队列研究利用了 2012 年至 2020 年期间全国医疗保险索赔和评估的综合数据集,包括医疗保险受益人摘要文件和养老院管理数据集。该研究重点关注在 2016 年被诊断患有痴呆症、心肌梗死、慢性阻塞性肺疾病或结肠癌的受益人。分析于 2023 年 3 月至 2024 年 8 月进行。
主要结局是迁移,定义为县或州的变化。分析区分了有和没有养老院居住的迁移。通过在诊断前和诊断后 4 年跟踪患者的居住县,使用差异中的差异方法对比痴呆症与其他 3 种疾病相关的迁移趋势。
该样本包括 1626127 名 Medicare 受益人的数据(平均[标准差]年龄 80.1[8.0]岁;922194 名女性[56.7%]),他们在 2016 年被诊断出这 4 种疾病。共有 818862 人有新的痴呆症诊断(年龄 82.0[7.8]岁;492146 名女性[60.1%])。与诊断前的月份相比,在诊断后的月份中,患有痴呆症的患者迁移到不同县的比例增加了 8.5 个百分点(95%CI,7.6-9.4 个百分点),而患有心肌梗死、慢性阻塞性肺疾病或结肠癌的患者增加了 4.2 至 5.8 个百分点。差异中的差异估计表明,痴呆症患者的县际迁移增加了 3.9 个百分点(95%CI,3.7-4.0 个百分点),州际迁移增加了 1.9 个百分点(95%CI,1.8-2.0 个百分点),与其他疾病相比,迁移的可能性增加了一倍。由于痴呆症诊断而导致的额外迁移中,有 55%发生在社区环境中,45%发生在机构环境中。
在这项对 Medicare 按服务收费受益人的回顾性队列研究中,痴呆症与其他主要疾病相比,迁移率显著增加。这一发现强调了需要了解导致这些不同迁移行为的因素。