Can mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score data
<strong>Introduction</strong> Mapping algorithms are increasingly being used to predict health-utility values based on responses or scores from non-preference-based measures, thereby informing economic evaluations. <strong>Objectives</strong> We explored whether predictions...
| Hoofdauteurs: | , , , |
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| Formaat: | Journal article |
| Taal: | English |
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Springer Verlag
2017
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| _version_ | 1826292952713920512 |
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| author | Madan, J Khan, K Petrou, S Lamb, S |
| author_facet | Madan, J Khan, K Petrou, S Lamb, S |
| author_sort | Madan, J |
| collection | OXFORD |
| description | <strong>Introduction</strong> Mapping algorithms are increasingly being used to predict health-utility values based on responses or scores from non-preference-based measures, thereby informing economic evaluations. <strong>Objectives</strong> We explored whether predictions in the EuroQol 5-dimension 3-level instrument (EQ-5D-3L) health-utility gains from mapping algorithms might differ if estimated using differenced versus raw scores, using the Roland–Morris Disability Questionnaire (RMQ), a widely used health status measure for low back pain, as an example. <strong>Methods</strong> We estimated algorithms mapping within-person changes in RMQ scores to changes in EQ-5D-3L health utilities using data from two clinical trials with repeated observations. We also used logistic regression models to estimate response mapping algorithms from these data to predict within-person changes in responses to each EQ-5D-3L dimension from changes in RMQ scores. Predicted health-utility gains from these mappings were compared with predictions based on raw RMQ data. <strong>Results</strong> Using differenced scores reduced the predicted health-utility gain from a unit decrease in RMQ score from 0.037 (standard error [SE] 0.001) to 0.020 (SE 0.002). Analysis of response mapping data suggests that the use of differenced data reduces the predicted impact of reducing RMQ scores across EQ-5D-3L dimensions and that patients can experience health-utility gains on the EQ-5D-3L ‘usual activity’ dimension independent from improvements captured by the RMQ. <strong>Conclusion</strong> Mappings based on raw RMQ data overestimate the EQ-5D-3L health utility gains from interventions that reduce RMQ scores. Where possible, mapping algorithms should reflect within-person changes in health outcome and be estimated from datasets containing repeated observations if they are to be used to estimate incremental health-utility gains. |
| first_indexed | 2024-03-07T03:22:37Z |
| format | Journal article |
| id | oxford-uuid:b7f2044d-1f8d-4f5c-b1ca-c256a45e8d7b |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T03:22:37Z |
| publishDate | 2017 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | oxford-uuid:b7f2044d-1f8d-4f5c-b1ca-c256a45e8d7b2022-03-27T04:52:28ZCan mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score dataJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b7f2044d-1f8d-4f5c-b1ca-c256a45e8d7bEnglishSymplectic Elements at OxfordSpringer Verlag2017Madan, JKhan, KPetrou, SLamb, S<strong>Introduction</strong> Mapping algorithms are increasingly being used to predict health-utility values based on responses or scores from non-preference-based measures, thereby informing economic evaluations. <strong>Objectives</strong> We explored whether predictions in the EuroQol 5-dimension 3-level instrument (EQ-5D-3L) health-utility gains from mapping algorithms might differ if estimated using differenced versus raw scores, using the Roland–Morris Disability Questionnaire (RMQ), a widely used health status measure for low back pain, as an example. <strong>Methods</strong> We estimated algorithms mapping within-person changes in RMQ scores to changes in EQ-5D-3L health utilities using data from two clinical trials with repeated observations. We also used logistic regression models to estimate response mapping algorithms from these data to predict within-person changes in responses to each EQ-5D-3L dimension from changes in RMQ scores. Predicted health-utility gains from these mappings were compared with predictions based on raw RMQ data. <strong>Results</strong> Using differenced scores reduced the predicted health-utility gain from a unit decrease in RMQ score from 0.037 (standard error [SE] 0.001) to 0.020 (SE 0.002). Analysis of response mapping data suggests that the use of differenced data reduces the predicted impact of reducing RMQ scores across EQ-5D-3L dimensions and that patients can experience health-utility gains on the EQ-5D-3L ‘usual activity’ dimension independent from improvements captured by the RMQ. <strong>Conclusion</strong> Mappings based on raw RMQ data overestimate the EQ-5D-3L health utility gains from interventions that reduce RMQ scores. Where possible, mapping algorithms should reflect within-person changes in health outcome and be estimated from datasets containing repeated observations if they are to be used to estimate incremental health-utility gains. |
| spellingShingle | Madan, J Khan, K Petrou, S Lamb, S Can mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score data |
| title | Can mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score data |
| title_full | Can mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score data |
| title_fullStr | Can mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score data |
| title_full_unstemmed | Can mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score data |
| title_short | Can mapping algorithms based on raw scores overestimate QALYs gained by treatment? A comparison of mappings between the Roland-Morris disability questionnaire and the EQ-5D-3L based on raw and differenced score data |
| title_sort | can mapping algorithms based on raw scores overestimate qalys gained by treatment a comparison of mappings between the roland morris disability questionnaire and the eq 5d 3l based on raw and differenced score data |
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