Suppr超能文献

美国医疗保险成年患者中残疾与阿片类药物过量死亡的关联。

Association of Disability With Mortality From Opioid Overdose Among US Medicare Adults.

机构信息

Sealy Center on Aging, Department of Internal Medicine, The University of Texas Medical Branch at Galveston, Galveston.

Department of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston.

出版信息

JAMA Netw Open. 2019 Nov 1;2(11):e1915638. doi: 10.1001/jamanetworkopen.2019.15638.

Abstract

IMPORTANCE

Patients qualifying for Medicare disability have the highest rates of opioid use compared with older Medicare beneficiaries and commercial insurance beneficiaries. Research on opioid overdose deaths in this population can help identify appropriate interventions.

OBJECTIVE

To assess the rate of opioid overdose death and to identify its associated risk factors.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study included a 20% national sample of Medicare enrollees aged 21 to 64 years whose initial Medicare entitlement was based on disability and who resided in 50 US states and Washington, DC, in 2012 to 2016. Data analyses were performed from March 15, 2019, through September 23, 2019.

EXPOSURES

Fifty-five chronic or potentially disabling conditions were selected from the Centers for Medicare & Medicaid Services Chronic Disease Data Warehouse.

MAIN OUTCOMES AND MEASURES

Opioid overdose death rate estimated from Medicare National Death Index linkage data.

RESULTS

Among 1 766 790 Medicare enrollees younger than 65 years who qualified for Medicare because of disability, the mean (SD) age was 52.2 (10.2) years, and 866 914 (49.1%) were women. These enrollees represent 14.9% (95% CI, 14.9%-15.0%) of the entire Medicare population and accounted for 80.8% (95% CI, 78.9%-82.7%) of opioid overdose deaths among all Medicare enrollees. Opioid overdose mortality in this population increased from 57.4 per 100 000 (95% CI, 53.9-61.0 per 100 000) in 2012 to 77.6 per 100 000 (95% CI, 73.5-81.8 per 100 000) in 2016. Results from the stepwise logistic regression model revealed that 3 categories of conditions are associated with opioid overdose death: substance abuse, psychiatric diseases, and chronic pain. Among the 11.1% (95% CI, 11.0%-11.2%) of adults with disability who had all 3 conditions, the rate of opioid overdose death was 363.7 per 100 000 (95% CI, 326.7-402.6 per 100 000), which is 23.4 times higher than the rate for individuals with none of the conditions (15.5 per 100 000; 95% CI, 11.6-20.1 per 100 000).

CONCLUSIONS AND RELEVANCE

This study identifies differences in opioid overdose mortality among subgroups of Medicare enrollees younger than 65 years who qualify for Medicare because of disability. Understanding the heterogeneity of medical and psychiatric conditions associated with opioid use and misuse is key to developing specific, data-driven interventions targeted to each subgroup of high-risk populations.

摘要

重要性

与老年医疗保险受益人和商业保险受益人相比,符合医疗保险残疾资格的患者的阿片类药物使用率最高。对该人群中阿片类药物过量死亡的研究可以帮助确定适当的干预措施。

目的

评估阿片类药物过量死亡的发生率,并确定其相关的危险因素。

设计、设置和参与者:这项队列研究包括了 2012 年至 2016 年间,医疗保险初始资格是基于残疾的,年龄在 21 岁至 64 岁之间的 50 个州和哥伦比亚特区的 2%的医疗保险参保者的全国样本。数据分析于 2019 年 3 月 15 日至 2019 年 9 月 23 日进行。

暴露

从医疗保险和医疗补助服务中心慢性病数据仓库中选择了 55 种慢性或潜在致残疾病。

主要结果和测量

从医疗保险国家死亡索引链接数据中估计的阿片类药物过量死亡率。

结果

在因残疾而获得医疗保险的 1766790 名 65 岁以下的医疗保险参保者中,平均(SD)年龄为 52.2(10.2)岁,866914 人(49.1%)为女性。这些参保者占整个医疗保险人群的 14.9%(95%CI,14.9%-15.0%),占所有医疗保险参保者中阿片类药物过量死亡的 80.8%(95%CI,78.9%-82.7%)。该人群中的阿片类药物过量死亡率从 2012 年的每 10 万人 57.4 例(95%CI,每 10 万人 53.9-61.0 例)增加到 2016 年的每 10 万人 77.6 例(95%CI,每 10 万人 73.5-81.8 例)。逐步逻辑回归模型的结果显示,有 3 类疾病与阿片类药物过量死亡有关:物质滥用、精神疾病和慢性疼痛。在所有残疾成年人中,有 11.1%(95%CI,11.0%-11.2%)的人同时患有这 3 种疾病,阿片类药物过量死亡的发生率为每 10 万人 363.7 例(95%CI,每 10 万人 326.7-402.6 例),这是同时没有这些疾病的个体的 23.4 倍(每 10 万人 15.5 例;95%CI,每 10 万人 11.6-20.1 例)。

结论和相关性

本研究确定了医疗保险参保者中因残疾而获得医疗保险的年轻人群体中阿片类药物过量死亡率的差异。了解与阿片类药物使用和滥用相关的医学和精神疾病的异质性是制定针对高危人群的具体、数据驱动的干预措施的关键。

相似文献

6
Causes of Death After Nonfatal Opioid Overdose.非致死性阿片类药物过量后的死亡原因。
JAMA Psychiatry. 2018 Aug 1;75(8):820-827. doi: 10.1001/jamapsychiatry.2018.1471.

引用本文的文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验