School of Pharmacy, Regis University, Denver, CO 80221, USA.
Pharmacoeconomics. 2012 May;30(5):431-42. doi: 10.2165/11586840-000000000-00000.
Many statistical analyses, clinical trials and cost-utility analyses designed to measure the impact of a particular disease on utility scores often overlook the important influence of co-morbidity burden.
This study aims to examine the impact of co-morbidity burden on EQ-5D index scores in a nationally representative sample of the US.
The pooled 2001 and 2003 Medical Expenditure Panel Survey was used. The total number of chronic conditions for each individual was calculated based on Clinical Classification Categories codes. Spline regression was used to identify nonlinear age effects: individuals were separated into four quartiles based on age. Censored least absolute deviation was used to regress EQ-5D index scores on age and chronic co-morbidity, controlling for income, gender, race, ethnicity, education, physical activity and smoking status. Interactions between age and chronic conditions were also explored.
The coefficients for chronic co-morbidities were highly statistically significant with large magnitudes for those with two or more chronic conditions (coefficient two chronic conditions=-0.16; coefficient nine chronic conditions=-0.28). After controlling for chronic co-morbidities and other confounders, age was not statistically significant except for those aged>58 years and the magnitude of this coefficient was very small (coefficient aged>58 years=-0.0006). The interactions between age and chronic co-morbidity were significant, but the deleterious impact of their interaction was largely dominated by the existence and number of chronic conditions.
Chronic conditions have a significant deleterious impact on EQ-5D index scores that is much more pronounced than age and other sociodemographic and behavioural characteristics. Future analyses and cost-utility models should incorporate the impact of multiple morbidity.
许多旨在衡量特定疾病对效用评分影响的统计分析、临床试验和成本效用分析往往忽略了共病负担的重要影响。
本研究旨在考察共病负担对美国代表性人群的 EQ-5D 指数评分的影响。
使用汇总的 2001 年和 2003 年医疗支出调查。根据临床分类类别代码计算每个人的慢性病总数。样条回归用于确定非线性年龄效应:根据年龄将个体分为四组。使用有偏最小绝对离差回归方法对 EQ-5D 指数评分与年龄和慢性共病进行回归,控制收入、性别、种族、民族、教育、身体活动和吸烟状况。还探讨了年龄和慢性疾病之间的相互作用。
慢性共病的系数具有统计学意义且幅度较大,具有两种或两种以上慢性疾病的个体的系数为-0.16;具有九种慢性疾病的个体的系数为-0.28。在控制慢性共病和其他混杂因素后,年龄没有统计学意义,除了年龄>58 岁的个体,且该系数的幅度非常小(年龄>58 岁的个体的系数=-0.0006)。年龄和慢性共病之间的相互作用具有统计学意义,但它们相互作用的有害影响在很大程度上被慢性疾病的存在和数量所主导。
慢性疾病对 EQ-5D 指数评分有显著的有害影响,比年龄和其他社会人口学和行为特征的影响更为显著。未来的分析和成本效用模型应纳入多种发病的影响。