Development of explicit criteria for prioritization of hip and knee replacement

被引:27
作者
Escobar, Antonio
Quintana, Jose M.
Bilbao, Amaia
Ibanez, Berta
Arenaza, Juan C.
Gutierrez, Luis
Azkarate, Jesus
Guenaga, Jose I.
Vidaurreta, Ignacio
机构
[1] Hosp Basurto, Unidad Invest, Bilbao 48013, Bizkaia, Spain
[2] Hosp Galdakao, Unidad Invest, Bizkaia, Spain
[3] Fdn Vasca Innovac & Invest Sanit, BIOEF, Sondika, Bizkaia, Spain
[4] Hosp Basurto, Serv Traumatol, Bilbao, Bizkaia, Spain
[5] Hosp Mendaro, Serv Traumatol, Gipuzkoa, Spain
[6] Hosp Santiago Apostol, Serv Traumatol, Araba, Spain
关键词
health services research; hip replacement; knee replacement; priority setting;
D O I
10.1111/j.1365-2753.2006.00733.x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Rationale and aims Among the problems to the publicly funded national health services are the waiting lists. Patients who need elective surgery generally have long waiting times before treatment. We aimed to develop a new prioritization tool for primary hip and knee replacement. Methods Criteria were developed using a modified Delphi panel process. We convened a panel of nine members who scored the scenarios created by the research team and by patient focus groups. We studied the level of agreement among the panelists and the contribution of the variables to the ratings of the panel using linear and logistic regression models. The priority scores of the variables and their levels were synthesized using the optimal scaling and standard linear regression methods. Results Seven variables, pain on motion, walking functional limitations, abnormal findings on physical examination, pain at rest, other functional limitations, social role, and other pathologies that could improve with joint replacement, were considered to create the different scenarios. The panel scored 192 scenarios. The disagreement among the panelists was very low (1%) with an intra-class correlation coefficient of 0.72. Of the 192 scenarios, 45.8% were scored as urgent, 35.4% as preferred and 18.8% as ordinary. The variables that contributed most to the scores were pain on motion and walking functional limitations. When optimal scaling and regression techniques were applied, similar results were obtained. Conclusion This tool can evaluate and prioritize patients on a waiting list for hip or knee replacement. We also provide a simple and easy way to use an algorithm to estimate the treatment priority for individual patients.
引用
收藏
页码:429 / 434
页数:6
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