Norvell Daniel C, Biggs Wayne T, Bott Jeffrey, Henderson Alison W, Moore Kathryn P, Czerniecki Joseph M
VA Puget Sound Health Care System, Seattle, WA.
Department of Rehabilitation Medicine, University of Washington, Seattle, WA.
Arch Rehabil Res Clin Transl. 2023 Jun 15;5(3):100273. doi: 10.1016/j.arrct.2023.100273. eCollection 2023 Sep.
To develop a lower limb prosthesis (LLP) sophistication classification system that categorizes prosthetic component prescriptions into "basic," "intermediate," and "advanced" and assess its content validity, reliability, and accuracy.
Classification development and validation study.
The Veterans Affairs (VA) Corporate Data Warehouse database and National Prosthetics Patient Database were used to identify patients undergoing their first amputation at the transtibial or transfemoral level due to diabetes or peripheral artery disease and to identify the associated codes for each LLP.
An expert panel of 6 nationally recognized certified prosthetists, a national expert in VA prosthetics data and coding, a physical medicine and rehabilitation physician, and an epidemiologist developed an LLP classification system () using 30 transfemoral and transtibial lower limb amputees.
The expert panel reviewed 20 consecutive participants meeting study criteria for the development of the system and a subsequent 30 consecutive cases for assessing the inter- and intra-rater reliability and accuracy.
The interrater and intrarater reliability was almost perfect with Gwet's AC1 values ranging from .82 to .96 for both expert panel members and research assistants. The accuracy of the research assistant's classifications to the "criterion standard" was excellent with Gwet's AC1 values ranging between .75 and .92.
is a pragmatic, reliable, and accurate prosthetic classification system with strong face validity that will enable the classification of prosthetic components used for large data set research aimed at evaluating important clinical questions such as the effects of sophistication on patient outcomes.
开发一种下肢假肢(LLP)复杂程度分类系统,将假肢组件处方分为“基础”“中级”和“高级”三类,并评估其内容效度、信度和准确性。
分类系统开发与验证研究。
利用退伍军人事务部(VA)企业数据仓库数据库和国家假肢患者数据库,识别因糖尿病或外周动脉疾病首次接受经胫骨或经股骨截肢的患者,并确定每个LLP的相关编码。
由6名全国公认的认证假肢师、一名VA假肢数据与编码领域的国家专家、一名物理医学与康复医师以及一名流行病学家组成的专家小组,使用30名经股骨和经胫骨下肢截肢者开发了一种LLP分类系统()。
专家小组审查了20名连续符合该系统开发研究标准的参与者,以及随后30例连续病例,以评估评分者间和评分者内的信度与准确性。
对于专家小组成员和研究助理而言,评分者间和评分者内信度几乎完美,Gwet's AC1值在0.82至0.96之间。研究助理分类与“标准标准”的准确性极佳,Gwet's AC1值在0.75至0.92之间。
是一种实用、可靠且准确的假肢分类系统,具有较强的表面效度,能够对用于大数据集研究的假肢组件进行分类,旨在评估诸如复杂程度对患者结局的影响等重要临床问题。