注意缺陷/多动障碍患者的事故发生率和成本。

IF 4.5
Andrine Swensen, Howard G Birnbaum, Rym Ben Hamadi, Paul Greenberg, Pierre-Yves Cremieux, Kristina Secnik
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引用次数: 0

摘要

目的:分析注意缺陷/多动障碍(ADHD)患者的事故发生率和成本。方法:分析依赖于一家全国性制造商的雇员、配偶、家属和退休人员(n > 100,000)的行政医疗、药品和残疾索赔。使用ICD-9伤害或中毒治疗代码识别意外伤害。ADHD样本由1996-98年间至少有一次声称患有ADHD的个体组成(NADHD = 1308),并与匹配的对照样本进行比较。除了描述性统计外,1998年还使用了涉及逻辑回归的多变量分析来模拟事故索赔的概率。对整个人群、成人、儿童(12岁以下)和青少年(12-18岁)进行了概率估计。我们还估计了一个广义估计方程(GEE)模型,以解释单个患者多次事故索赔的可能性。结果:儿童(28%对18%)、青少年(32%对23%)和成人(38%对18%)的ADHD患者至少有一次事故索赔的概率高于对照组。虽然ADHD患者的费用在成人中高于对照组(483美元对146美元),但在儿童和青少年中没有差异。然而,在有事故索赔的患者中,两组的平均事故索赔数量相似(3.6对3.5),费用没有统计学差异。多变量分析证实了这种使用模式:ADHD患者发生事故的几率是对照组的1.7倍。结论:ADHD是发生事故索赔的重要预测因子。然而,对于有事故索赔的人来说,ADHD患者和对照组有相似的事故索赔和费用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incidence and costs of accidents among attention-deficit/hyperactivity disorder patients.

Purpose: The purpose is to analyze the incidence and costs of accidents among Attention-Deficit/Hyperactivity Disorder (ADHD) patients.

Methods: The analysis relied on administrative medical, pharmaceutical, and disability claims for a national manufacturer's employees, spouses, dependents, and retirees (n > 100,000). Accidental injuries were identified using ICD-9 codes for injuries or poisoning treatment. ADHD sample consists of individuals with at least one claim for ADHD during 1996-98 (NADHD = 1308), which was compared with a matched control sample. In addition to descriptive statistics, multivariate analysis involving logistic regression was used to model the probability of having an accident claim in 1998. This probability was estimated for the whole population, for adults alone, for children (under age 12 years), and for adolescents (age 12-18 years). We also estimated a generalized estimation equation (GEE) model to account for the possibility of multiple accident claims for a single patient.

Results: ADHD patients had a greater probability of having at least one accident claim than their controls for children (28% vs. 18%), adolescents (32% vs. 23%), and adults (38% vs. 18%). Although ADHD patients' costs were greater than their controls for adults ($483 vs. $146), there was no difference for children or adolescents. However, among patients with accident claims, the average number of accident claims was similar for both groups (3.6 vs. 3.5) and costs were not statistically different. The multivariate analysis confirms this utilization pattern: the odds of having an accident for ADHD patients were 1.7 times greater than for controls.

Conclusions: ADHD was a significant predictor of having an accident claim. However, for people with an accident claim, ADHD patients and controls had a similar number of accident claims and costs.

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