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2型糖尿病治疗的教育与患者偏好:一项分层离散选择实验

Education and patient preferences for treating type 2 diabetes: a stratified discrete-choice experiment.

作者信息

Janssen Ellen M, Longo Daniel R, Bardsley Joan K, Bridges John Fp

机构信息

Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA.

出版信息

Patient Prefer Adherence. 2017 Oct 6;11:1729-1736. doi: 10.2147/PPA.S139471. eCollection 2017.

Abstract

PURPOSE

Diabetes is a chronic condition that is more prevalent among people with lower educational attainment. This study assessed the treatment preferences of patients with type 2 diabetes by educational attainment.

METHODS

Patients with type 2 diabetes were recruited from a national online panel in the US. Treatment preferences were assessed using a discrete-choice experiment. Participants completed 16 choice tasks in which they compared pairs of treatment profiles composed of six attributes: A1c decrease, stable blood glucose, low blood glucose, nausea, treatment burden, and out-of-pocket cost. Choice models and willingness-to-pay (WTP) estimates were estimated using a conditional logit model and were stratified by educational status.

RESULTS

A total of 231 participants with a high school diploma or less education, 156 participants with some college education, and 165 participants with a college degree or more completed the survey. Participants with a college degree or more education were willing to pay more for A1c decreases ($58.84, standard error [SE]: 10.6) than participants who had completed some college ($28.47, SE: 5.53) or high school or less ($17.56, SE: 3.55) (≤0.01). People with a college education were willing to pay more than people with high school or less to avoid nausea, low blood glucose events during the day/night, or two pills per day.

CONCLUSION

WTP for aspects of diabetes medication differed for people with a college education or more and a high school education or less. Advanced statistical methods might overcome limitations of stratification and advance understanding of preference heterogeneity for use in patient-centered benefit-risk assessments and personalized care approaches.

摘要

目的

糖尿病是一种慢性病,在受教育程度较低的人群中更为普遍。本研究按受教育程度评估了2型糖尿病患者的治疗偏好。

方法

从美国一个全国性在线小组中招募2型糖尿病患者。使用离散选择实验评估治疗偏好。参与者完成16项选择任务,在任务中他们比较由六个属性组成的治疗方案对:糖化血红蛋白(A1c)降低、血糖稳定、低血糖、恶心、治疗负担和自付费用。使用条件logit模型估计选择模型和支付意愿(WTP)估计值,并按教育程度分层。

结果

共有231名高中文凭或以下学历的参与者、156名有一些大学教育经历的参与者以及165名大学学位或以上学历的参与者完成了调查。大学学位或以上学历的参与者为降低A1c愿意支付的费用(58.84美元,标准误[SE]:10.6)高于完成一些大学教育的参与者(28.47美元,SE:5.53)或高中文凭及以下的参与者(17.56美元,SE:3.55)(P≤0.01)。大学学历的人比高中文凭及以下的人更愿意支付费用以避免恶心、白天/夜间低血糖事件或每天两片药。

结论

大学教育程度及以上和高中教育程度及以下的人在糖尿病药物治疗方面的支付意愿不同。先进的统计方法可能会克服分层的局限性,并推进对偏好异质性的理解,以用于以患者为中心的效益-风险评估和个性化护理方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af39/5640404/93c63529b390/ppa-11-1729Fig1.jpg

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