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首页> 外文期刊>Health services research: HSR >Longitudinal analysis of changes in illicit drug use and health services utilization.
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Longitudinal analysis of changes in illicit drug use and health services utilization.

机译:纵向分析非法药物使用和卫生服务利用的变化。

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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.
机译: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,住院和因受伤而需要医疗护理。数据:来自国家酒精与相关疾病流行病学调查(NESARC)的第1和第2浪(11,253名男性和13,059名女性)。研究设计:我们通过采用标准横截面数据模型来汇总NESARC数据波来得出基准估计。为了控制由于时不变的未观察到的个体异质性而引起的潜在偏差,我们重新估计了与固定效应模型的关系。主要发现:横断面数据模型表明,在几乎所有规范中,非法药物的使用与卫生服务的使用均具有正相关关系。相反,在固定效应模型中,唯一重要的关系(p <.05)是因受伤而接受医疗救护的几率,需要医疗救护的男性受伤的次数以及男女住院的次数。结论:在估计非法药物使用对卫生服务利用的影响时,未能控制时变个体异质性可能导致系数有偏差。此外,重要的是要区分毒品使用者的类型(休闲与重度)并估算针对性别的模型。

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