University of California, San Francisco.
Arthritis Care Res (Hoboken). 2014 Jul;66(7):980-9. doi: 10.1002/acr.22244.
To analyze the effect of sociodemographic, disease, and health system characteristics and contextual features about the community of residence on the subsequent initiation of treatment with biologic agents for rheumatoid arthritis (RA).
We analyzed data from the University of California, San Francisco Rheumatoid Arthritis Panel Study for the years 1999-2011. Principal data collection was by a structured annual phone survey. We estimated Kaplan-Meier curves of the time until initiation of biologic agents, stratified by age and income. We also used Cox regression to estimate the effect of individual-level sociodemographic and medical factors, contextual-level socioeconomic status measures, and density of health providers in the local community on the probability of initiating therapy with biologic agents for RA.
In total, 527 persons were included in the panel in 1999, and 229 persons (44%) had initiated therapy with biologic agents by 2011. In multivariable Cox regression models, age <70 years (hazard ratio [HR] for ages 19-54 years 1.89 [95% confidence interval (95% CI) 1.24-2.87] and HR for ages 55-69 years 1.25 [95% CI 0.84-1.87]), Hispanic ethnicity (HR 2.02 [95% CI 1.05-3.86]), household income ≥$30,000/year (HR 1.61 [95% CI 1.12-2.32]), being married or with a partner (HR 1.39 [95% CI 1.00-1.92]), and residence in rural environments (HR 1.96 [95% CI 1.28-2.99]) were associated with a higher probability of initiating biologic agents. Having no (HR 0.18 [95% CI 0.08-0.40]) or only 1-4 rheumatology visits in the year prior to interview (HR 0.60 [95% CI 0.45-0.81]) and living in an area with ≥1 federally qualified health centers (HR 0.63 [95% CI 0.41-0.96]) were associated with a lower probability.
The probability of initiating therapy with biologic agents is affected by sociodemographic and health system characteristics as well as the nature of the community of residence, resulting in disparities in access to these medications.
分析社会人口学、疾病和卫生系统特征以及居住社区的背景特征对类风湿关节炎(RA)后续生物制剂治疗起始的影响。
我们分析了 1999 年至 2011 年加州大学旧金山类风湿关节炎小组研究的数据。主要数据收集是通过年度结构化电话调查进行的。我们估计了生物制剂起始时间的 Kaplan-Meier 曲线,按年龄和收入分层。我们还使用 Cox 回归估计个体水平的社会人口学和医疗因素、社区层面的社会经济地位衡量标准以及当地社区卫生提供者密度对 RA 生物制剂治疗起始概率的影响。
共有 527 人于 1999 年入选小组,2011 年有 229 人(44%)开始接受生物制剂治疗。在多变量 Cox 回归模型中,年龄<70 岁(19-54 岁年龄组的危险比[HR]为 1.89[95%置信区间(95%CI)为 1.24-2.87]和 55-69 岁年龄组的 HR 为 1.25[95%CI 为 0.84-1.87])、西班牙裔(HR 2.02[95%CI 为 1.05-3.86])、家庭收入≥$30,000/年(HR 1.61[95%CI 为 1.12-2.32])、已婚或有伴侣(HR 1.39[95%CI 为 1.00-1.92])和居住在农村环境(HR 1.96[95%CI 为 1.28-2.99])与更高的生物制剂起始概率相关。在接受采访前一年没有(HR 0.18[95%CI 为 0.08-0.40])或只有 1-4 次风湿病就诊(HR 0.60[95%CI 为 0.45-0.81])和居住在有≥1 个联邦合格医疗中心的地区(HR 0.63[95%CI 为 0.41-0.96])与较低的概率相关。
生物制剂治疗的起始概率受社会人口学和卫生系统特征以及居住社区的性质影响,导致这些药物的可及性存在差异。