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患者特征影响阿片类药物相关感染性心内膜炎的出院状态。

Patient Characteristics Affect Discharge Status for Opioid-related Infective Endocarditis.

机构信息

Department of Social and Public Health.

Department of Social Medicine, Ohio University Heritage College of Osteopathic Medicine, Ohio University, Athens, OH.

出版信息

Med Care. 2020 Jan;58(1):13-17. doi: 10.1097/MLR.0000000000001233.

Abstract

BACKGROUND

Opioid overdoses have increased dramatically in the last 20 years, but secondary complications, such as infective endocarditis (IE) are also on the rise.

OBJECTIVE

The objective of this study was to understand the effect that opioid-related IE has on hospitals across the US and to understand the disposition of patients after treatment for IE, particularly in regard to insurance status and type.

RESEARCH DESIGN

Secondary data analysis of the publicly-available 2015 Nationwide Inpatient Sample (NIS) was used to assess opioid-related IE based on patient and hospital characteristics. Bivariate and logistic regression was calculated to determine significance between the outcome variable (IE) and other covariates.

SUBJECTS

The 2015 NIS data contained 7,153,989 weighted observations with 5760 (0.02%) incidences of opioid-related IE.

MEASURES

The NIS dataset represents a 20% stratified sample of all US hospitalizations across all payors in a given year. Opioid-related IE was the outcome variable measured through ICD-9 and ICD-10 codes, and the independent variables included the patient's age, sex, primary payer, household income, discharge status, length of stay, and transfer status, and the hospital's size, ownership, region, and location with teaching status.

RESULTS

Routine discharge was the top discharge status across all payors, except Medicare. Nearly 26% of self-pay patients were discharged against medical advice. Logistic regression results indicate that patients who are younger, uninsured, have increased condition severity, have longer lengths of stay, and are discharged against medical advice or transferred to a short-term hospital or other health facility experienced significantly higher odds of opioid-related IE admissions as compared with all other admissions. The only significant hospital characteristic was region.

CONCLUSIONS

The fact that patient disposition varied across different payors suggests that hospitals are missing opportunities to engage the most vulnerable patients with IE. Given the long-term care required by this condition, hospitals are well-positioned to participate in interventions to initiate substance abuse treatment and help patients navigate outpatient substance abuse treatment options.

摘要

背景

在过去的 20 年中,阿片类药物过量急剧增加,但继发性并发症,如感染性心内膜炎(IE)也呈上升趋势。

目的

本研究旨在了解阿片类药物相关 IE 对美国各地医院的影响,并了解 IE 治疗后患者的处理情况,特别是在保险状况和类型方面。

研究设计

使用公开可用的 2015 年全国住院患者样本(NIS)进行二次数据分析,根据患者和医院特征评估阿片类药物相关 IE。进行了双变量和逻辑回归分析,以确定结局变量(IE)与其他协变量之间的显著性。

受试者

2015 年 NIS 数据包含 7153989 个加权观察值,其中 5760(0.02%)例为阿片类药物相关 IE。

测量

NIS 数据集代表给定年份所有支付者在美国所有住院患者的 20%分层样本。阿片类药物相关 IE 是通过 ICD-9 和 ICD-10 代码测量的结局变量,而独立变量包括患者的年龄、性别、主要支付者、家庭收入、出院状态、住院时间和转移状态,以及医院的规模、所有权、区域和位置,包括教学地位。

结果

除了 Medicare 之外,所有支付者中常规出院是最主要的出院状态。近 26%的自费患者未经医嘱出院。逻辑回归结果表明,与所有其他入院相比,年龄较小、无保险、病情严重程度增加、住院时间较长、未经医嘱出院或转至短期医院或其他医疗设施的患者,阿片类药物相关 IE 入院的可能性显著更高。唯一显著的医院特征是地区。

结论

不同支付者的患者处置方式不同,这表明医院错过了与 IE 最脆弱患者接触的机会。鉴于这种疾病需要长期护理,医院非常适合参与干预措施,以启动药物滥用治疗,并帮助患者选择门诊药物滥用治疗方案。

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