Predicting EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities from Older People’s Quality of Life Brief Questionnaire (OPQoL-Brief) Scores
Billingsley Kaambwa () and
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Billingsley Kaambwa: Flinders University
Julie Ratcliffe: University of South Australia Business School
The Patient: Patient-Centered Outcomes Research, 2018, vol. 11, issue 1, 39-54
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
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