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Sociodemographic and psychopathologic predictors of first incidence of DSM-IV substance use, mood and anxiety disorders: results from the Wave 2 National Epidemiologic Survey on Alcohol and Related Conditions.DSM-IV 物质使用、心境和焦虑障碍首发的社会人口学和精神病理学预测因素：来自第 2 波全国酒精和相关条件流行病学调查的结果。
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9
Changes in substance use associated with emergency room and primary care services utilization in the United States general population: 1995-2000.1995 - 2000年美国普通人群中与急诊室和初级保健服务利用相关的物质使用变化。
Am J Drug Alcohol Abuse. 2003;29(4):789-802. doi: 10.1081/ada-120026261.
10
Health care utilization among drug-using and non-drug-using women.吸毒和不吸毒女性的医疗保健利用情况。
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纵向分析非法药物使用和卫生服务利用的变化。

Longitudinal analysis of changes in illicit drug use and health services utilization.

机构信息

Health Economics Research Group, Department of Sociology, University of Miami, 5202 University Drive, Coral Gables, FL 33124-2030, USA.

出版信息

Health Serv Res. 2011 Jun;46(3):877-99. doi: 10.1111/j.1475-6773.2010.01218.x. Epub 2010 Dec 9.

DOI:10.1111/j.1475-6773.2010.01218.x
PMID:21143479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3087824/
Abstract

OBJECTIVE

To analyze the relationships between illicit drug use and three types of health services utilization: emergency room utilization, hospitalization, and medical attention required due to injury(s).

DATA

Waves 1 and 2 (11,253 males and 13,059 females) from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).

STUDY DESIGN

We derive benchmark estimates by employing standard cross-sectional data models to pooled waves of NESARC data. To control for potential bias due to time-invariant unobserved individual heterogeneity, we reestimate the relationships with fixed-effects models.

PRINCIPAL FINDINGS

The cross-sectional data models suggest that illicit drug use is positively and significantly related to health services utilization in almost all specifications. Conversely, the only significant (p<.05) relationships in the fixed-effects models are the odds of receiving medical attention for an injury and the number of injuries requiring medical attention for men, and the number of times hospitalized for men and women.

CONCLUSIONS

Failing to control for time-invariant individual heterogeneity could lead to biased coefficients when estimating the effects of illicit drug use on health services utilization. Moreover, it is important to distinguish between types of drug user (casual versus heavy) and estimate gender-specific models.

摘要

目的

分析非法药物使用与三种类型的卫生服务利用之间的关系：急诊室利用、住院治疗和因伤害而需要的医疗关注。

数据

来自国家酒精和相关条件流行病学调查（NESARC）的第 1 波和第 2 波（男性 11253 人，女性 13059 人）。

研究设计

我们通过使用标准的横截面数据模型对 NESARC 数据的合并波进行推导，得出基准估计。为了控制由于不可观察的个体异质性而导致的潜在偏差，我们使用固定效应模型重新估计了这些关系。

主要发现

横截面数据模型表明，非法药物使用与卫生服务利用在几乎所有情况下都呈正相关且显著相关。相反，在固定效应模型中唯一显著（p<.05）的关系是男性因伤害而接受医疗关注的几率和需要医疗关注的伤害次数，以及男性和女性的住院次数。

结论

在估计非法药物使用对卫生服务利用的影响时，如果不控制不变的个体异质性，可能会导致有偏差的系数。此外，区分药物使用者的类型（偶尔使用者与重度使用者）并估计性别特定的模型很重要。