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https://hdl.handle.net/2440/115155
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dc.contributor.author | Kaambwa, B. | - |
dc.contributor.author | Ratcliffe, J. | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | The Patient: Patient Centered Outcomes Research, 2018; 11(1):39-54 | - |
dc.identifier.issn | 1178-1653 | - |
dc.identifier.issn | 1178-1661 | - |
dc.identifier.uri | http://hdl.handle.net/2440/115155 | - |
dc.description | Published online: 16 June 2017 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | Billingsley Kaambwa, Julie Ratcliffe | - |
dc.language.iso | en | - |
dc.publisher | Springer International Publishing | - |
dc.rights | © Springer International Publishing Switzerland 2017 | - |
dc.source.uri | http://dx.doi.org/10.1007/s40271-017-0259-3 | - |
dc.subject | Humans | - |
dc.subject | Activities of Daily Living | - |
dc.subject | Logistic Models | - |
dc.subject | Reproducibility of Results | - |
dc.subject | Interpersonal Relations | - |
dc.subject | Mental Health | - |
dc.subject | Health Status | - |
dc.subject | Algorithms | - |
dc.subject | Quality-Adjusted Life Years | - |
dc.subject | Quality of Life | - |
dc.subject | Socioeconomic Factors | - |
dc.subject | Aged | - |
dc.subject | Aged, 80 and over | - |
dc.subject | Health Services for the Aged | - |
dc.subject | Cost-Benefit Analysis | - |
dc.subject | Australia | - |
dc.subject | Female | - |
dc.subject | Male | - |
dc.subject | Mobility Limitation | - |
dc.subject | Surveys and Questionnaires | - |
dc.title | Predicting EuroQoL 5 dimensions 5 levels (EQ-5D-5L) utilities from Older People’s Quality of Life brief questionnaire (OPQoL-brief) scores | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1007/s40271-017-0259-3 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/LP110200079 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Kaambwa, B. [0000-0002-2128-3404] | - |
dc.identifier.orcid | Ratcliffe, J. [0000-0001-7365-1988] | - |
Appears in Collections: | Aurora harvest 3 Public Health publications |
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