A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures
Background: Generic preference-based measures of health like the EQ-5D and SF-6D® are increasingly being used in economic evaluation and outcome assessment. However, there are concerns as to whether or not these generic measures are appropriate for use in people with mental health problems. Objectiv...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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NIHR Journals Library
2014-05-01
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| Series: | Health Technology Assessment |
| Subjects: | |
| Online Access: | https://doi.org/10.3310/hta18340 |
| _version_ | 1818476149907390464 |
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| author | John Brazier Janice Connell Diana Papaioannou Clara Mukuria Brendan Mulhern Tessa Peasgood Myfawnwy Lloyd Jones Suzy Paisley Alicia O’Cathain Michael Barkham Martin Knapp Sarah Byford Simon Gilbody Glenys Parry |
| author_facet | John Brazier Janice Connell Diana Papaioannou Clara Mukuria Brendan Mulhern Tessa Peasgood Myfawnwy Lloyd Jones Suzy Paisley Alicia O’Cathain Michael Barkham Martin Knapp Sarah Byford Simon Gilbody Glenys Parry |
| author_sort | John Brazier |
| collection | DOAJ |
| description | Background: Generic preference-based measures of health like the EQ-5D and SF-6D® are increasingly being used in economic evaluation and outcome assessment. However, there are concerns as to whether or not these generic measures are appropriate for use in people with mental health problems. Objectives: The EQ-5D and SF-36® (including its derivatives the SF-12® and SF-6D) were assessed using the psychometric criteria of validity and responsiveness using quantitative and qualitative methods. Another aim was to estimate mapping functions between the EQ-5D and SF-6D and condition-specific measures, where appropriate. Design: Four studies were undertaken to examine the appropriateness of the measures: (1) a systematic review of quantitative evidence on validity and responsiveness; (2) a further quantitative assessment of these criteria using existing data sets; (3) a review of qualitative research on the quality of life of people with mental health problems; and (4) qualitative semistructured interviews of people with a full range of problems. A fifth study estimated mapping functions between mental health-specific measures and the EQ-5D and SF-6D. Setting: A choice of venue was offered for the interviews including the participant’s own home, a room at the university or a centre frequently used by mental health services. Participants: The interviews were undertaken with 19 people with a broad range of mental health problems at varying levels of severity. Main outcome measures: The reviews included the EQ-5D and SF-36 (and the SF-12 and SF-6D). The psychometric analysis included the Hospital Anxiety and Depression Scale (HADS), Clinical Outcomes in Routine Evaluation – Outcome Measure (CORE-OM), Generalised Anxiety Disorder Assessment (GAD-7), General Health Questionnaire (GHQ-12) and Patient Health Questionnaire (PHQ-9). Results: (1) and (2) The EQ-5D and SF-36 achieved an adequate level of performance in depression, and to some extent in anxiety and personality disorder. Results from the psychometric analyses in schizophrenia and bipolar disorder have been more mixed. (3) A framework analysis of 13 studies identified six major themes. (4) The interview data fitted the themes from the review well and resulted in minor modifications to the themes. The final set of themes comprised: well-being and ill-being; control, autonomy and choice; self-perception; belonging; activity; hope and hopelessness; and physical health. Conclusions: The EQ-5D and SF-36 achieved mixed results in the quantitative testing against psychometric criteria. The qualitative analysis suggests this is because they provide a very limited coverage of themes identified by people with mental health problems. Recommendations for future work include the development of new preference-based measures in mental health that are based on, or substantially revise, an existing measure. Funding: The Medical Research Council. |
| first_indexed | 2024-12-10T09:21:43Z |
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| id | doaj.art-e8e233200594484985bca627f2986025 |
| institution | Directory Open Access Journal |
| issn | 1366-5278 2046-4924 |
| language | English |
| last_indexed | 2024-12-10T09:21:43Z |
| publishDate | 2014-05-01 |
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| series | Health Technology Assessment |
| spelling | doaj.art-e8e233200594484985bca627f29860252022-12-22T01:54:40ZengNIHR Journals LibraryHealth Technology Assessment1366-52782046-49242014-05-01183410.3310/hta1834006/92/51A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measuresJohn Brazier0Janice Connell1Diana Papaioannou2Clara Mukuria3Brendan Mulhern4Tessa Peasgood5Myfawnwy Lloyd Jones6Suzy Paisley7Alicia O’Cathain8Michael Barkham9Martin Knapp10Sarah Byford11Simon Gilbody12Glenys Parry13Health Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKCentre for Psychological Services Research, University of Sheffield, Sheffield, UKCentre for the Economics of Mental and Physical Health, King’s College London, London, UKCentre for the Economics of Mental and Physical Health, King’s College London, London, UKDepartment of Health Sciences, University of York, York, UKHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UKBackground: Generic preference-based measures of health like the EQ-5D and SF-6D® are increasingly being used in economic evaluation and outcome assessment. However, there are concerns as to whether or not these generic measures are appropriate for use in people with mental health problems. Objectives: The EQ-5D and SF-36® (including its derivatives the SF-12® and SF-6D) were assessed using the psychometric criteria of validity and responsiveness using quantitative and qualitative methods. Another aim was to estimate mapping functions between the EQ-5D and SF-6D and condition-specific measures, where appropriate. Design: Four studies were undertaken to examine the appropriateness of the measures: (1) a systematic review of quantitative evidence on validity and responsiveness; (2) a further quantitative assessment of these criteria using existing data sets; (3) a review of qualitative research on the quality of life of people with mental health problems; and (4) qualitative semistructured interviews of people with a full range of problems. A fifth study estimated mapping functions between mental health-specific measures and the EQ-5D and SF-6D. Setting: A choice of venue was offered for the interviews including the participant’s own home, a room at the university or a centre frequently used by mental health services. Participants: The interviews were undertaken with 19 people with a broad range of mental health problems at varying levels of severity. Main outcome measures: The reviews included the EQ-5D and SF-36 (and the SF-12 and SF-6D). The psychometric analysis included the Hospital Anxiety and Depression Scale (HADS), Clinical Outcomes in Routine Evaluation – Outcome Measure (CORE-OM), Generalised Anxiety Disorder Assessment (GAD-7), General Health Questionnaire (GHQ-12) and Patient Health Questionnaire (PHQ-9). Results: (1) and (2) The EQ-5D and SF-36 achieved an adequate level of performance in depression, and to some extent in anxiety and personality disorder. Results from the psychometric analyses in schizophrenia and bipolar disorder have been more mixed. (3) A framework analysis of 13 studies identified six major themes. (4) The interview data fitted the themes from the review well and resulted in minor modifications to the themes. The final set of themes comprised: well-being and ill-being; control, autonomy and choice; self-perception; belonging; activity; hope and hopelessness; and physical health. Conclusions: The EQ-5D and SF-36 achieved mixed results in the quantitative testing against psychometric criteria. The qualitative analysis suggests this is because they provide a very limited coverage of themes identified by people with mental health problems. Recommendations for future work include the development of new preference-based measures in mental health that are based on, or substantially revise, an existing measure. Funding: The Medical Research Council.https://doi.org/10.3310/hta18340systematic reviewpsychometric analysisqualitative assessmentgeneric preference-based measures of healthmental healthmapping functionseq-5dsf-36quality-adjusted life-yearutilities |
| spellingShingle | John Brazier Janice Connell Diana Papaioannou Clara Mukuria Brendan Mulhern Tessa Peasgood Myfawnwy Lloyd Jones Suzy Paisley Alicia O’Cathain Michael Barkham Martin Knapp Sarah Byford Simon Gilbody Glenys Parry A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures Health Technology Assessment systematic review psychometric analysis qualitative assessment generic preference-based measures of health mental health mapping functions eq-5d sf-36 quality-adjusted life-year utilities |
| title | A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures |
| title_full | A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures |
| title_fullStr | A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures |
| title_full_unstemmed | A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures |
| title_short | A systematic review, psychometric analysis and qualitative assessment of generic preference-based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures |
| title_sort | systematic review psychometric analysis and qualitative assessment of generic preference based measures of health in mental health populations and the estimation of mapping functions from widely used specific measures |
| topic | systematic review psychometric analysis qualitative assessment generic preference-based measures of health mental health mapping functions eq-5d sf-36 quality-adjusted life-year utilities |
| url | https://doi.org/10.3310/hta18340 |
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