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利用医院出院数据进行非致命药物过量监测:2018 - 2020年18个州药物过量监测与流行病学(DOSE)系统与医疗成本和利用项目的比较

Non-fatal drug overdose surveillance using hospital discharge data: a comparison between the Drug Overdose Surveillance and Epidemiology (DOSE) system and the Healthcare Cost and Utilisation Project, 18 states, 2018-2020.

作者信息

Quader Zerleen S, Park Joohyun, Krishnan Snehaa D, Stokes Erin, Pickens Cassandra M

机构信息

Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

出版信息

Inj Prev. 2024 Dec 24. doi: 10.1136/ip-2024-045446.

Abstract

BACKGROUND

The Centers for Disease Control and Prevention's Drug Overdose Surveillance and Epidemiology (DOSE) system captures non-fatal overdose data from health departments' emergency department (ED) and inpatient hospitalisation discharge data; however, these data have not been compared with other established state-level surveillance systems, which may lag by several years depending on the state. This analysis compared non-fatal overdose rates from DOSE discharge data with rates from the Healthcare Cost and Utilization Project (HCUP) in order to compare DOSE data against an established dataset.

METHODS

DOSE discharge data case definitions (ie, International Classification of Diseases, 10th revision, Clinical Modification codes) for non-fatal unintentional/undetermined intent all drug, all opioid-involved, heroin-involved and stimulant-involved overdoses were applied to HCUP's 2018-2020 State Emergency Department Databases (SEDD) and State Inpatient Databases (SID). Quarterly crude rates (per 100 000 population) and rate differences of four overdose categories were calculated for ED and inpatient data sources across 18 states included in DOSE and HCUP datasets for at least 2 consecutive years. Joinpoint regression models examined trends from 2018 through 2020, estimating average quarterly percentage change (AQPC) and 95% CIs.

RESULTS

Quarterly crude rate differences between DOSE ED and SEDD data (across 12 states) and DOSE inpatient and SID data (across 16 states) indicated that 82% and 93% of rates, respectively, were within ±0.5 non-fatal overdoses per 100 000 population of each other. AQPC across states and drug categories were similar between the two data sources for both ED and inpatient data.

DISCUSSION

Non-fatal overdose surveillance through DOSE discharge data may be a valid and timely source for estimating non-fatal overdoses at the state level.

摘要

背景

美国疾病控制与预防中心的药物过量监测与流行病学(DOSE)系统从卫生部门的急诊科(ED)获取非致命性药物过量数据以及住院患者出院数据;然而,这些数据尚未与其他既定的州级监测系统进行比较,而后者可能会因州而异,滞后数年。本分析将DOSE出院数据中的非致命性药物过量率与医疗成本和利用项目(HCUP)中的比率进行比较,以便将DOSE数据与一个既定数据集进行对比。

方法

将非致命性无意/未确定意图的所有药物、所有涉及阿片类药物、涉及海洛因和涉及兴奋剂的药物过量的DOSE出院数据病例定义(即国际疾病分类第十次修订版临床修正代码)应用于HCUP的2018 - 2020年州急诊科数据库(SEDD)和州住院数据库(SID)。针对DOSE和HCUP数据集中至少连续两年包含的18个州的ED和住院数据源,计算了四个药物过量类别的季度粗率(每10万人)和率差。连接点回归模型研究了2018年至2020年的趋势,估计平均季度百分比变化(AQPC)和95%置信区间。

结果

DOSE急诊科与SEDD数据(12个州)以及DOSE住院患者与SID数据(16个州)之间的季度粗率差异表明,分别有82%和93%的率在每10万人口±0.5例非致命性药物过量的范围内。对于ED和住院患者数据,两个数据源之间各州和药物类别的AQPC相似。

讨论

通过DOSE出院数据进行的非致命性药物过量监测可能是在州一级估计非致命性药物过量的有效且及时的来源。

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