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Erschienen in: Quality of Life Research 2/2014

01.03.2014

Mapping scores from the Strengths and Difficulties Questionnaire (SDQ) to preference-based utility values

verfasst von: Gareth Furber, Leonie Segal, Matthew Leach, Jane Cocks

Erschienen in: Quality of Life Research | Ausgabe 2/2014

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Abstract

Purpose

Quality of life mapping methods such as “Transfer to Utility” can be used to translate scores on disease-specific measures to utility values, when traditional utility measurement methods (e.g. standard gamble, time trade-off, preference-based multi-attribute instruments) have not been used. The aim of this study was to generate preliminary ordinary least squares (OLS) regression-based algorithms to transform scores from the Strengths and Difficulties Questionnaires (SDQ), a widely used measure of mental health in children and adolescents, to utility values obtained using the preference-based Child Health Utility (CHU9D) instrument.

Methods

Two hundred caregivers of children receiving community mental health services completed the SDQ and CHU9D during a telephone interview. Two OLS regressions were run with the CHU9D utility value as the dependent variable and SDQ subscales as predictors. Resulting algorithms were validated by comparing predicted and observed group mean utility values in randomly selected subsamples.

Results

Preliminary validation was obtained for two algorithms, utilising five and three subscales of the SDQ, respectively. Root mean square error values (.124) for both models suggested poor fit at an individual level, but both algorithms performed well in predicting mean group observed utility values.

Conclusion

This research generated algorithms for translating SDQ scores to utility values and providing researchers with an additional tool for conducting health economic evaluations with child and adolescent mental health data.
Literatur
2.
Zurück zum Zitat Rabin, R., & De Charro, F. (2001). EQ-5D: A measure of health status from the EuroQol group. Annals of Medicine, 33(5), 337–343.PubMedCrossRef Rabin, R., & De Charro, F. (2001). EQ-5D: A measure of health status from the EuroQol group. Annals of Medicine, 33(5), 337–343.PubMedCrossRef
3.
Zurück zum Zitat Ungar, W. J. (2011). Challenges in health state valuation in paediatric economic evaluation: Are QALYs contraindicated? PharmacoEconomics, 29(8), 641–652.PubMedCrossRef Ungar, W. J. (2011). Challenges in health state valuation in paediatric economic evaluation: Are QALYs contraindicated? PharmacoEconomics, 29(8), 641–652.PubMedCrossRef
4.
Zurück zum Zitat Romeo, R., Byford, S., & Knapp, M. (2005). Annotation: Economic evaluations of child and adolescent mental health interventions: a systematic review. Journal of Child Psychology and Psychiatry and Allied Disciplines, 46(9), 919–930.CrossRef Romeo, R., Byford, S., & Knapp, M. (2005). Annotation: Economic evaluations of child and adolescent mental health interventions: a systematic review. Journal of Child Psychology and Psychiatry and Allied Disciplines, 46(9), 919–930.CrossRef
5.
Zurück zum Zitat Hsia, R. Y., & Belfer, M. L. (2008). A framework for the economic analysis of child and adolescent mental disorders. International Review of Psychiatry, 20(3), 251–259.PubMedCrossRef Hsia, R. Y., & Belfer, M. L. (2008). A framework for the economic analysis of child and adolescent mental disorders. International Review of Psychiatry, 20(3), 251–259.PubMedCrossRef
6.
Zurück zum Zitat Kilian, R., Losert, C., Park, A.-L., McDaid, D., & Knapp, M. (2010). Cost-effectiveness analysis in child and adolescent mental health problems: An updated review of literature. International Journal of Mental Health Promotion, 12(4), 45–57.CrossRef Kilian, R., Losert, C., Park, A.-L., McDaid, D., & Knapp, M. (2010). Cost-effectiveness analysis in child and adolescent mental health problems: An updated review of literature. International Journal of Mental Health Promotion, 12(4), 45–57.CrossRef
7.
Zurück zum Zitat Dalziel, K., & Segal, L. (2009). Economic evaluation in child protection: What are the special challenges? In W. Ungar (Ed.), Economic evaluation in child health (pp. 133–164). London: Oxford Press. Dalziel, K., & Segal, L. (2009). Economic evaluation in child protection: What are the special challenges? In W. Ungar (Ed.), Economic evaluation in child health (pp. 133–164). London: Oxford Press.
8.
Zurück zum Zitat Kromm, S. K., Bethell, J., Kraglund, F., Edwards, S. A., Laporte, A., Coyte, P. C., et al. (2012). Characteristics and quality of pediatric cost-utility analyses. Quality of Life Research, 21(8), 1315–1325.PubMedCrossRef Kromm, S. K., Bethell, J., Kraglund, F., Edwards, S. A., Laporte, A., Coyte, P. C., et al. (2012). Characteristics and quality of pediatric cost-utility analyses. Quality of Life Research, 21(8), 1315–1325.PubMedCrossRef
9.
Zurück zum Zitat Petrou, S., Johnson, S., Wolke, D., Hollis, C., Kochhar, P., & Marlow, N. (2010). Economic costs and preference-based health-related quality of life outcomes associated with childhood psychiatric disorders. The British Journal of Psychiatry, 197, 395–404.PubMedCrossRef Petrou, S., Johnson, S., Wolke, D., Hollis, C., Kochhar, P., & Marlow, N. (2010). Economic costs and preference-based health-related quality of life outcomes associated with childhood psychiatric disorders. The British Journal of Psychiatry, 197, 395–404.PubMedCrossRef
10.
Zurück zum Zitat Petrou, S., & Kupek, E. (2009). Estimating preference-based Health Utilities Index mark 3 utility scores for childhood conditions in England and Scotland. Medical Decision Making, 29(3), 291–303.PubMedCrossRef Petrou, S., & Kupek, E. (2009). Estimating preference-based Health Utilities Index mark 3 utility scores for childhood conditions in England and Scotland. Medical Decision Making, 29(3), 291–303.PubMedCrossRef
11.
Zurück zum Zitat Mortimer, D., & Segal, L. (2008). Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QALY-weights. Medical Decision Making, 28(1), 66–89.PubMedCrossRef Mortimer, D., & Segal, L. (2008). Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QALY-weights. Medical Decision Making, 28(1), 66–89.PubMedCrossRef
12.
Zurück zum Zitat Petrillo, J., & Cairns, J. (2008). Converting condition-specific measures into preference-based outcomes for use in economic evaluation. Expert Review of Pharmacoeconomics and Outcomes Research, 8(5), 453–461.PubMedCrossRef Petrillo, J., & Cairns, J. (2008). Converting condition-specific measures into preference-based outcomes for use in economic evaluation. Expert Review of Pharmacoeconomics and Outcomes Research, 8(5), 453–461.PubMedCrossRef
13.
Zurück zum Zitat Brazier, J. E., Yang, Y., Tsuchiya, A., & Rowen, D. L. (2010). A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. The European Journal of Health Economics, 11(2), 215–225.PubMedCrossRef Brazier, J. E., Yang, Y., Tsuchiya, A., & Rowen, D. L. (2010). A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. The European Journal of Health Economics, 11(2), 215–225.PubMedCrossRef
14.
Zurück zum Zitat Chuang, L. H., & Whitehead, S. J. (2012). Mapping for economic evaluation. British Medical Bulletin, 101(1), 1–15.PubMedCrossRef Chuang, L. H., & Whitehead, S. J. (2012). Mapping for economic evaluation. British Medical Bulletin, 101(1), 1–15.PubMedCrossRef
15.
Zurück zum Zitat National Institute for Health and Clinical Excellence. (2008). Guide to the methods of technology appraisal. London: National Institute for Health and Clinical Excellence. National Institute for Health and Clinical Excellence. (2008). Guide to the methods of technology appraisal. London: National Institute for Health and Clinical Excellence.
16.
Zurück zum Zitat Segal, L., Day, S. E., Chapman, A. B., & Osborne, R. H. (2004). Can we reduce disease burden from osteoarthritis? The Medical Journal of Australia, 180(5 Suppl), S11–S17.PubMed Segal, L., Day, S. E., Chapman, A. B., & Osborne, R. H. (2004). Can we reduce disease burden from osteoarthritis? The Medical Journal of Australia, 180(5 Suppl), S11–S17.PubMed
17.
Zurück zum Zitat Goodman, R. (2007). The Strengths and Difficulties Questionnaire: A research note. Journal of Child Psychology and Psychiatry and Allied Disciplines, 38(5), 581–586.CrossRef Goodman, R. (2007). The Strengths and Difficulties Questionnaire: A research note. Journal of Child Psychology and Psychiatry and Allied Disciplines, 38(5), 581–586.CrossRef
19.
Zurück zum Zitat Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149–1160.PubMedCrossRef Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149–1160.PubMedCrossRef
20.
Zurück zum Zitat Rutter, M. (1967). A children’s behaviour questionnaire for completion by teachers: Preliminary findings. Journal of Child Psychology and Psychiatry, 8, 1–11.PubMedCrossRef Rutter, M. (1967). A children’s behaviour questionnaire for completion by teachers: Preliminary findings. Journal of Child Psychology and Psychiatry, 8, 1–11.PubMedCrossRef
21.
Zurück zum Zitat Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry, 40(11), 1337–1345.PubMedCrossRef Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry, 40(11), 1337–1345.PubMedCrossRef
22.
Zurück zum Zitat Hawes, D. J., & Dadds, M. R. (2004). Australian data and psychometric properties of the Strengths and Difficulties Questionnaire. Australian and New Zealand Journal of Psychiatry, 38, 644–651.PubMedCrossRef Hawes, D. J., & Dadds, M. R. (2004). Australian data and psychometric properties of the Strengths and Difficulties Questionnaire. Australian and New Zealand Journal of Psychiatry, 38, 644–651.PubMedCrossRef
23.
Zurück zum Zitat Goodman, A., & Goodman, R. (2009). Strengths and Difficulties Questionnaire as a dimensional measure of child mental health. Journal of the American Academy of Child and Adolescent Psychiatry, 48(4), 400–403.PubMedCrossRef Goodman, A., & Goodman, R. (2009). Strengths and Difficulties Questionnaire as a dimensional measure of child mental health. Journal of the American Academy of Child and Adolescent Psychiatry, 48(4), 400–403.PubMedCrossRef
24.
Zurück zum Zitat Stevens, K. (2009). Developing a descriptive system for a new preference-based measure of health-related quality of life for children. Quality of Life Research, 18(8), 1105–1113.PubMedCrossRef Stevens, K. (2009). Developing a descriptive system for a new preference-based measure of health-related quality of life for children. Quality of Life Research, 18(8), 1105–1113.PubMedCrossRef
25.
Zurück zum Zitat Stevens, K. (2011). Assessing the performance of a new generic measure of health-related quality of life for children and refining it for use in health state valuation. Applied Health Economics and Health Policy, 9(3), 157–169.PubMedCrossRef Stevens, K. (2011). Assessing the performance of a new generic measure of health-related quality of life for children and refining it for use in health state valuation. Applied Health Economics and Health Policy, 9(3), 157–169.PubMedCrossRef
26.
Zurück zum Zitat Stevens, K. (2012). Valuation of the child health utility 9D index. PharmacoEconomics, 30(8), 729–747.PubMedCrossRef Stevens, K. (2012). Valuation of the child health utility 9D index. PharmacoEconomics, 30(8), 729–747.PubMedCrossRef
27.
Zurück zum Zitat Ratcliffe, J., Flynn, T., Terlich, F., Brazier, J., Stevens, K., & Sawyer, M. (2012). Developing adolescent specific health state values for economic evaluation: An application of profile case best worst scaling to the Child Health Utility-9D. Pharmacoeconomics, 30, 713–727. Ratcliffe, J., Flynn, T., Terlich, F., Brazier, J., Stevens, K., & Sawyer, M. (2012). Developing adolescent specific health state values for economic evaluation: An application of profile case best worst scaling to the Child Health Utility-9D. Pharmacoeconomics, 30, 713–727.
28.
Zurück zum Zitat Ratcliffe, J., Stevens, K., Flynn, T., Brazier, J., & Sawyer, M. (2012). An assessment of the construct validity of the CHU9D in the Australian adolescent general population. Quality of Life Research, 21(4), 717–725.PubMedCrossRef Ratcliffe, J., Stevens, K., Flynn, T., Brazier, J., & Sawyer, M. (2012). An assessment of the construct validity of the CHU9D in the Australian adolescent general population. Quality of Life Research, 21(4), 717–725.PubMedCrossRef
29.
Zurück zum Zitat Ratcliffe, J., Stevens, K., Flynn, T., Brazier, J., & Sawyer, M. (2012). Whose values in health? An empirical comparison of the application of adolescent and adult values for the CHU-9D and AQOL-6D in the Australian adolescent general population. Value in Health, 15(5), 730–736.PubMedCrossRef Ratcliffe, J., Stevens, K., Flynn, T., Brazier, J., & Sawyer, M. (2012). Whose values in health? An empirical comparison of the application of adolescent and adult values for the CHU-9D and AQOL-6D in the Australian adolescent general population. Value in Health, 15(5), 730–736.PubMedCrossRef
30.
Zurück zum Zitat Drummond, M. (2001). Introducing economic and quality of life measurements into clinical studies. Annals of Medicine, 33(5), 344–349.PubMedCrossRef Drummond, M. (2001). Introducing economic and quality of life measurements into clinical studies. Annals of Medicine, 33(5), 344–349.PubMedCrossRef
31.
Zurück zum Zitat Canaway, A. G., & Frew, E. J. (2012). Measuring preference-based quality of life in children aged 6–7 years: A comparison of the performance of the CHU-9D and EQ-5D-Y-the WAVES Pilot Study. Quality of Life Research, 22(1), 173–183. Canaway, A. G., & Frew, E. J. (2012). Measuring preference-based quality of life in children aged 6–7 years: A comparison of the performance of the CHU-9D and EQ-5D-Y-the WAVES Pilot Study. Quality of Life Research, 22(1), 173–183.
32.
Zurück zum Zitat Ratcliffe, J., Couzner, L., Flynn, T., Sawyer, M., Stevens, K., Brazier, J., et al. (2011). Valuing Child Health Utility 9D health states with a young adolescent sample: A feasibility study to compare best-worst discrete choice experiment, standard gamble and time trade off methods. Applied Health Economics and Health Policy, 9(1), 15–27.PubMedCrossRef Ratcliffe, J., Couzner, L., Flynn, T., Sawyer, M., Stevens, K., Brazier, J., et al. (2011). Valuing Child Health Utility 9D health states with a young adolescent sample: A feasibility study to compare best-worst discrete choice experiment, standard gamble and time trade off methods. Applied Health Economics and Health Policy, 9(1), 15–27.PubMedCrossRef
Metadaten
Titel
Mapping scores from the Strengths and Difficulties Questionnaire (SDQ) to preference-based utility values
verfasst von
Gareth Furber
Leonie Segal
Matthew Leach
Jane Cocks
Publikationsdatum
01.03.2014
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 2/2014
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-013-0494-6

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