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https://hdl.handle.net/2440/115155
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Type: | Journal article |
Title: | Predicting EuroQoL 5 dimensions 5 levels (EQ-5D-5L) utilities from Older People’s Quality of Life brief questionnaire (OPQoL-brief) scores |
Author: | Kaambwa, B. Ratcliffe, J. |
Citation: | The Patient: Patient Centered Outcomes Research, 2018; 11(1):39-54 |
Publisher: | Springer International Publishing |
Issue Date: | 2018 |
ISSN: | 1178-1653 1178-1661 |
Statement of Responsibility: | Billingsley Kaambwa, Julie Ratcliffe |
Abstract: | Background and Objective: Economic evaluation of healthcare treatment and services targeted at older people requires measurement of utility-based quality-of-life outcomes but it is not always possible to collect such outcome data. It may, however, be possible to estimate these outcomes using non-utility measures of quality of life where the latter have been collected. The objective of this study was to develop a regression-based algorithm to map a non-utility-based outcome, the Older People’s Quality of Life brief questionnaire (OPQoL-brief), onto a utility-based outcome, the EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L). Methods: The estimation sample comprised 330 community-based Australian older people (>65 years), while the validation sample consisted of 293 older people from a separate study. Six regression techniques were employed to estimate utilities from OPQoL-brief. The predictive accuracy of 54 regression models (six regression techniques × nine model specifications) was assessed using six criteria: mean absolute error (MAE), root mean squared error (RMSE), correlation, distribution of predicted utilities, distribution of residuals, and proportion of predictions with absolute errors <0.05. Results: The 54 regression models predicted EQ-5D-5L utilities that performed differently when assessed by the six criteria. However, best results were obtained from an ordinary least squares (OLS) model where all 13 OPQoL-brief items were included as continuous variables (OLS 4). RMSE and MAE estimates for this model (0.2201 and 0.1638, respectively) were within the range of published estimates. Conclusions: It is possible to predict valid utilities from OPQoL-brief using regression methods. We recommend OLS model (4) for this exercise. |
Keywords: | Humans Activities of Daily Living Logistic Models Reproducibility of Results Interpersonal Relations Mental Health Health Status Algorithms Quality-Adjusted Life Years Quality of Life Socioeconomic Factors Aged Aged, 80 and over Health Services for the Aged Cost-Benefit Analysis Australia Female Male Mobility Limitation Surveys and Questionnaires |
Description: | Published online: 16 June 2017 |
Rights: | © Springer International Publishing Switzerland 2017 |
DOI: | 10.1007/s40271-017-0259-3 |
Grant ID: | http://purl.org/au-research/grants/arc/LP110200079 |
Published version: | http://dx.doi.org/10.1007/s40271-017-0259-3 |
Appears in Collections: | Aurora harvest 3 Public Health publications |
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