Mapping analysis to predict EQ-5D-5 L utility values based on the Oxford Hip Score (OHS) and Oxford Knee Score (OKS) questionnaires in the Spanish population suffering from lower limb osteoarthritis

Health and Quality of Life Outcomes

Elena Martín-Ramos¹  Juan Carlos Muñoz-García²  Gemma Rodríguez-Martínez³  Nuria Tomás-García⁴  Lidia García-Pérez⁵  Laura Magdalena-Armas⁶  Juan Carlos Arenaza⁷  Mariel Morey-Montalvo⁸  Elena Polentinos-Castro⁸  Amaia Bilbao⁸  Jesús Martín-Fernández⁹ 

[1] C.S. Alcalde Bartolomé González, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud;C.S. El Soto. Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud;C.S. Infante Don Luis, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud;C.S. San Martín de Valdeiglesias, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud;Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC);Hospital Universitario Nuestra Señora de Candelaria;Osakidetza, Hospital Universitario Basurto, Servicio de Traumatología y Cirugía Ortopédica;Red de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC);Unidad Docente Multiprofesional de Atención Familiar y Comunitaria Oeste, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud;

关键词: Quality of life;    Health status;    Osteoarthritis;    Economics;    Cost-benefit analysis;    EQ-5D;   

DOI  :  10.1186/s12955-020-01435-8

来源: DOAJ

【 摘 要 】

Abstract Background The EQ-5D-5 L is a quality-of-life questionnaire based on individuals’ preferences that is widely employed for cost-effectiveness analysis. Given the current demand for mapping algorithms to directly assign “utilities”, this study aimed to generate different mapping models for predicting EQ-5D-5 L utility values based on scores of the Oxford Hip Score (OHS) and Oxford Knee Score (OKS) questionnaires provided by patients suffering from hip and knee osteoarthritis (OA), respectively, and to assess the predictive capability of these functions. Methods This was a prospective, observational study. Following the criteria of the American Rheumatism Association, 361 patients with hip OA and 397 with knee OA from three regions in Spain were included. Health-related quality of life (HRQoL) was assessed through the EQ-5D-5 L general questionnaire and the OHS and OKS specifically for lower limb OA. Based on the scores on the OHS and OKS questionnaires, EQ-5D-5 L utilities were estimated using 4 models: ordinary least squares (OLS), Tobit, generalized linear model (GLM), and beta regression (Breg). The models were validated on the same patients after 6 months: the mean absolute error (MAE) and mean squared error (MSE) with their 95% confidence intervals (CI), mean values of standard errors (SE), intraclass correlation coefficients (ICC), and Bland-Altman plots were obtained. Results The lowest MAEs were obtained using GLM and Breg models, with values of 0.1103 (0.0993–0.1214) and 0.1229 (0.1102–0.1335) for hip OA, and values of 0.1127 (0.1014–0.1239) and 0.1141 (0.1031–0.1251) for knee OA. MSE values were also lower using GLM and Breg. ICCs between predicted and observed values were around or over the 0.8 cut-off point. Bland-Altman plots showed an acceptable correlation, but precision was lower for subjects with worse HRQoL, which was also evident when comparing MAEs of the bottom and top halves of the utilities scale. Predictive equations for utilities based on OHS/OKS scores were proposed. Conclusions The OHS and OKS scores allow for estimating EQ-5D-5 L utility indexes for patients with hip and knee OA, respectively, with adequate validity and precision. GLM and Breg produce the best predictions. The predictive power of proposed equations is more consistent for subjects in better health condition.

【 授权许可】

Unknown