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Mapping of disease-specific Oxford Knee Score onto EQ-5D-5L utility index in knee osteoarthritis
by
Fawaz, Hadeer
, Bedwani, Ramez
, Yassine, Omaima
, Hammad, Abdullah
, Abu-Sheasha, Ghada
in
Accuracy
/ Algorithms
/ Analysis
/ Anxiety
/ Arthritis
/ Cross-Sectional Studies
/ Disease
/ EQ-5D-5L
/ Health Status
/ Humans
/ Joint replacement
/ Knee
/ Machine learning
/ Mapping
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Mental depression
/ Mobility
/ Model mapping
/ Orthopedics
/ Osteoarthritis
/ Osteoarthritis, Knee - diagnosis
/ Osteoarthritis, Knee - surgery
/ Oxford Knee Score (OKS) questionnaire
/ Pain
/ Patients
/ Preferences
/ Quality of Life
/ Quality of life utility index
/ Questionnaires
/ Research Article
/ Self-care, Health
/ Surgical Orthopedics
/ Surveys and Questionnaires
/ Tariffs
/ Values
2023
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Mapping of disease-specific Oxford Knee Score onto EQ-5D-5L utility index in knee osteoarthritis
by
Fawaz, Hadeer
, Bedwani, Ramez
, Yassine, Omaima
, Hammad, Abdullah
, Abu-Sheasha, Ghada
in
Accuracy
/ Algorithms
/ Analysis
/ Anxiety
/ Arthritis
/ Cross-Sectional Studies
/ Disease
/ EQ-5D-5L
/ Health Status
/ Humans
/ Joint replacement
/ Knee
/ Machine learning
/ Mapping
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Mental depression
/ Mobility
/ Model mapping
/ Orthopedics
/ Osteoarthritis
/ Osteoarthritis, Knee - diagnosis
/ Osteoarthritis, Knee - surgery
/ Oxford Knee Score (OKS) questionnaire
/ Pain
/ Patients
/ Preferences
/ Quality of Life
/ Quality of life utility index
/ Questionnaires
/ Research Article
/ Self-care, Health
/ Surgical Orthopedics
/ Surveys and Questionnaires
/ Tariffs
/ Values
2023
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Mapping of disease-specific Oxford Knee Score onto EQ-5D-5L utility index in knee osteoarthritis
by
Fawaz, Hadeer
, Bedwani, Ramez
, Yassine, Omaima
, Hammad, Abdullah
, Abu-Sheasha, Ghada
in
Accuracy
/ Algorithms
/ Analysis
/ Anxiety
/ Arthritis
/ Cross-Sectional Studies
/ Disease
/ EQ-5D-5L
/ Health Status
/ Humans
/ Joint replacement
/ Knee
/ Machine learning
/ Mapping
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Mental depression
/ Mobility
/ Model mapping
/ Orthopedics
/ Osteoarthritis
/ Osteoarthritis, Knee - diagnosis
/ Osteoarthritis, Knee - surgery
/ Oxford Knee Score (OKS) questionnaire
/ Pain
/ Patients
/ Preferences
/ Quality of Life
/ Quality of life utility index
/ Questionnaires
/ Research Article
/ Self-care, Health
/ Surgical Orthopedics
/ Surveys and Questionnaires
/ Tariffs
/ Values
2023
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Mapping of disease-specific Oxford Knee Score onto EQ-5D-5L utility index in knee osteoarthritis
Journal Article
Mapping of disease-specific Oxford Knee Score onto EQ-5D-5L utility index in knee osteoarthritis
2023
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Overview
Background
EQ5D is a generic measure of health. It provides a single index value for health status that can be used in the clinical and economic evaluation of healthcare. Oxford Knee Score (OKS) is a joint-specific outcome measure tool designed to assess symptoms and function in osteoarthritis patients after joint replacement surgery. Though widely used, it has the disadvantage of lacking health index value. To fill the gap between functional and generic questionnaires with economic value, we linked generic EQ-5D-5L to the specific OKS to give a single index value for health status in KOA patients.
Questions/purposes
Developing and evaluating an algorithm to estimate EuroQoL generic health utility scores (EQ-5D-5L) from the disease-specific OKS using data from patients with knee osteoarthritis (KO).
Patients and methods
This is a cross-sectional study of 571 patients with KO. We used four distinct mapping algorithms: Cumulative Probability for Ordinal Data, Penalized Ordinal Regression, CART (Classification and Regression Trees), and Ordinal random forest. We compared the resultant models’ degrees of accuracy.
Results
Mobility was best predicted by penalized regression with pre-processed predictors, usual activities by random forest, pain/discomfort by cumulative probability with pre-processed predictors, self-care by random forest with RFE (recursive feature elimination) predictors, and anxiety/depression by CART with RFE predictors. Model accuracy was lowest with anxiety/depression and highest with mobility and usual activities. Using available country value sets, the average MAE was 0.098 ± 0.022, ranging from 0.063 to 0.142; and the average MSE was 0.020 ± 0.008 ranging from 0.008 to 0.042.
Conclusions
The current study derived accurate mapping techniques from OKS to the domains of EQ-5D-5L, allowing for the computation of QALYs in economic evaluations. A machine learning-based strategy offers a viable mapping alternative that merits further exploration.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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