Decision Modeling of Disagreements

Author:

Lehmann Harold P.12,Dambita Nkossi12,Buchanan George R.12,Casella James F.12,

Affiliation:

1. Johns Hopkins University, Baltimore, Maryland (HPL, ND, JFC)

2. University of Texas Southwestern Medical Center at Dallas (GRB)

Abstract

Purpose. To identify core disagreements between pediatric hematologists who would treat children with idiopathic thrombocytopenic purpura (ITP) on initial presentation (“Treaters”) and those who would treat by observation (“Observers”), to determine whether each group’s preferred stance was consistent with each individual’s detailed perceptions, and to identify key variables in each stance. Methods. A decision model was constructed in collaboration with experts, and a detailed questionnaire was presented to a nationally representative committee of 25 pediatric hematologists. A full decision tree was specified for each respondent. Results. Nineteen (76%) experts responded; based on preference for initial treatment, 9 were Treaters and 10 Observers. Of the 30 probability/effectiveness variables, 8—almost all concerning treatment effectiveness—had at least one statistically-significant difference between the 2 groups regarding low, best, or high estimates. To convince Observers that treatment is effective would take a clinical trial with between 39 000 and 87 000 participants; to convince Treaters that treatment is not effective enough, between 97 000 and 114 000 participants. Observers’ calculated numbers needed to treat (NNTs) of about 150 000 are more consistent ( P = 0.0023) with their elicited maximum NTTs of about 500. Conclusion. Physicians not specifically trained provided enough data to specify complete individual decision models. From the estimates provided, no practical clinical trial could convince hematologists who would treat children on initial presentation with ITP just to simply observe them or could convince those who would just observe to instead treat with available agents. Perceived burdens could be better characterized, perhaps by including parental perceptions and preferences.

Publisher

SAGE Publications

Subject

Health Policy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3