Faculty of Pharmaceutical Sciences, University of British Columbia, Room 4103 Pharmaceutical Sciences Building, 2405 Wesbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
Sauder School of Business, University of British Columbia, Henry Angus Building 2053 Main Mall, Vancouver, British Columbia, V6T 1Z2, Canada.
Pharmacoeconomics. 2021 Jul;39(7):823-833. doi: 10.1007/s40273-021-01018-5. Epub 2021 May 7.
Patient involvement in health economics modeling has been advocated on numerous grounds, including as a way to better manage social and ethical value judgments in the modeling process. However, some have pointed to potential risks and variables that could influence the overall benefit of involvement. To inform future research, there is a need to generate knowledge on potential benefits, harms, and variables relevant to patient involvement in health economics modeling.
This analysis used data from a qualitative study in which 22 health economists were asked their views on the possibility of involving patients in the modeling process. Using qualitative methods, the authors organized participants' responses into theory-driven categories ("potential benefits", "potential harms", "variables of interest") and identified data-driven themes and subthemes within those categories.
Findings point to potential benefits and harms to the model, modeler, patient, and modeling process. Variables of interest relevant to future research included patients' specific roles, modeler and patient characteristics, the goals of modeling, dynamics among participators, and features of high-level procedures. The findings raise a number of specific questions that may be fruitful to explore in future research on patient involvement in health economics modeling.
患者参与健康经济学建模有诸多原因，包括在建模过程中更好地管理社会和伦理价值判断。然而，一些人指出了可能影响参与整体收益的潜在风险和变量。为了为未来的研究提供信息，有必要就患者参与健康经济学建模的潜在利益、危害和相关变量生成知识。
本分析使用了一项定性研究的数据，其中 22 名健康经济学家被要求就患者参与建模过程的可能性发表意见。作者使用定性方法，将参与者的回答组织成理论驱动的类别（“潜在利益”、“潜在危害”、“感兴趣的变量”），并在这些类别中确定了数据驱动的主题和子主题。
研究结果表明，患者参与建模对模型、建模者、患者和建模过程都有潜在的利益和危害。未来研究相关的感兴趣变量包括患者的具体角色、建模者和患者的特征、建模的目标、参与者之间的动态以及高级程序的特征。研究结果提出了一些具体的问题，这些问题可能对未来关于患者参与健康经济学建模的研究很有价值。
