Clarke Leigh, Ridgewell Emily, Dillon Michael P
Discipline of Prosthetics and Orthotics, Department of Physiotherapy, Podiatry, Prosthetics and Orthotics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia.
Disabil Rehabil. 2025 Apr;47(7):1861-1871. doi: 10.1080/09638288.2024.2384627. Epub 2024 Aug 12.
Health Economic Evaluations (HEEs) calculate a cost-benefit ratio using utility and effectiveness instruments. It is unknown whether existing instruments measure the items of the Prosthetic Interventions Core Outcome Set (PI-COS) that represent the benefits most important to lower-limb prosthesis users and funders. Comparing the content of existing instruments against the PI-COS will support instrument selection for future prosthetic HEEs.
Utility and effectiveness instruments used to evaluate prosthetic interventions were identified and their International Classification of Functioning, Disability and Health framework (ICF) linking results were extracted. Content of each instrument was compared to the PI-COS through three metrics: content density, content diversity and bandwidth.
Of the 130 utility and effectiveness instruments, 24 had previously been linked to the ICF. The instrument with the greatest bandwidth (i.e., broadest content coverage of the PI-COS) was the SF-36 given it linked to 6 of the 14 items of the PI-COS. Combining PROMIS subscales and short-forms allow measurement of a greater range of the PI-COS items.
There is no perfect fit instrument providing coverage of the PI-COS using the metrics of content density, content diversity and bandwidth. The PROMIS instrument may provide increase coverage of the PI-COS in future HEEs.
卫生经济评估(HEEs)使用效用和有效性工具计算成本效益比。目前尚不清楚现有工具是否能测量代表对下肢假肢使用者和资助者最重要益处的假肢干预核心结局集(PI-COS)项目。将现有工具的内容与PI-COS进行比较,将有助于为未来的假肢HEEs选择工具。
确定用于评估假肢干预的效用和有效性工具,并提取其与《国际功能、残疾和健康分类》框架(ICF)相关的结果。通过内容密度、内容多样性和带宽这三个指标,将每个工具的内容与PI-COS进行比较。
在130种效用和有效性工具中,有24种先前已与ICF相关联。带宽最大(即PI-COS内容覆盖范围最广)的工具是SF-36,因为它与PI-COS的14个项目中的6个相关联。结合患者报告结果测量信息系统(PROMIS)分量表和简表可以测量更广泛的PI-COS项目。
没有一种完美适配的工具能使用内容密度、内容多样性和带宽指标涵盖PI-COS。PROMIS工具可能会在未来的HEEs中增加对PI-COS的覆盖范围。