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Quality of Life Research

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Open Access 24-03-2022

The use of composite time trade-off and discrete choice experiment methods for the valuation of the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS): a think-aloud study

Authors: Hei Hang Edmund Yiu, Hareth Al-Janabi, Sarah Stewart-Brown, Stavros Petrou, Jason Madan

Published in: Quality of Life Research | Issue 9/2022

Abstract

Purpose

To identify patterns and problems in completing composite time trade-off (C-TTO) and discrete choice experiment (DCE) exercises for the valuation of the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) to inform the optimisation of a valuation protocol.

Methods

Fourteen cognitive interviews were conducted in the UK using concurrent and retrospective think-aloud and probing techniques. Each participant completed 8 C-TTO tasks and 8 DCE tasks within a computer-assisted personal interview setting. Verbal information was transcribed verbatim. Axial coding and thematic analysis were used to organise the qualitative data and identify patterns and problems with the completion of tasks.

Results

While participants found the tasks generally manageable, five broad themes emerged to explain and optimise the response to the tasks. (1) Format and structure: attention to the design of practice examples, instructions, and layout were needed. (2) Items and levels: underlying relationships were discovered across different combinations of levels of SWEMWBS items. (3) Decision heuristics: participants engaged in diverse strategies to assist trade-off decisions. (4) Valuation feasibility: certain states were difficult to imagine, compare and quantify. (5) Valuation outcome: the data quality was affected by participants’ discriminatory ability across states and their time trade-off decisions.

Conclusion

The interviews contributed insights regarding the robustness of the proposed methods. The application of C-TTO and DCE valuation techniques was practical and suitable for capturing individual attitudes towards different mental well-being scenarios. A modified protocol informed by the results is being tested in a larger sample across the UK.

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Saarni, S. I., Viertio, S., Perala, J., Koskinen, S., Lonnqvist, J., & Suvisaari, J. (2010). Quality of life of people with schizophrenia, bipolar disorder and other psychotic disorders. British Journal of Psychiatry, 197(5), 386–394. https://doi.org/10.1192/bjp.bp.109.076489CrossRef

Shah, K. K., Mulhern, B., Longworth, L., & Janssen, M. F. (2017). Views of the UK general public on important aspects of health not captured by EQ-5D. Patient-Patient Centered Outcomes Research, 10(6), 701–709. https://doi.org/10.1007/s40271-017-0240-1CrossRefPubMed

Brazier, J. E. (2010). Is the EQ-5D fit for purpose in mental health? British Journal of Psychiatry, 197(5), 348–349. https://doi.org/10.1192/bjp.bp.110.082453CrossRef

Barry, M. M. (2009). Addressing the determinants of positive mental health: Concepts, evidence and practice. International Journal of Mental Health Promotion, 11(3), 4–17. https://doi.org/10.1080/14623730.2009.9721788CrossRef

DiMatteo, M. R., Lepper, H. S., & Croghan, T. W. (2000). Depression is a risk factor for noncompliance with medical treatment - Meta-analysis of the effects of anxiety and depression on patient adherence. Archives of Internal Medicine, 160(14), 2101–2107. https://doi.org/10.1001/archinte.160.14.2101CrossRefPubMed

Lyubomirsky, S., King, L., & Diener, E. (2005). The benefits of frequent positive affect: Does happiness lead to success? Psychological bulletin, 131(6), 803. https://doi.org/10.1037/0033-2909.131.6.803CrossRefPubMed

Barry, M., van Lente, E., Molcho, M., Morgan, K., McGee, H., Conroy, R., Watson, D., Shelley, E., & Perry, I. J. P. R. (2009) SLAN 2007: Survey of Lifestyle, Attitudes and Nutrition in Ireland Mental Health and Social Well-being Report

Friedli, L., & Organization, W. H. (2009) Mental health, resilience and inequalities

Chida, Y., & Steptoe, A. (2008). Positive psychological well-being and mortality: A quantitative review of prospective observational studies. Psychosomatic Medicine, 70(7), 741–756. https://doi.org/10.1097/PSY.0b013e31818105baCrossRefPubMed

10.

Pressman, S. D., & Cohen, S. (2005). Does positive affect influence health? Psychological Bulletin, 131(6), 925–971. https://doi.org/10.1037/0033-2909.131.6.925CrossRefPubMed

11.

Davidson, R. J. (2004). Well-being and affective style: Neural substrates and biobehavioural correlates. Philosophical Transactions of the Royal Society B-Biological Sciences, 359(1449), 1395–1411. https://doi.org/10.1098/rstb.2004.1510CrossRefPubMedCentral

12.

Huppert, F. A., & Baylis, N. (2004). Well-being: Towards an integration of psychology, neurobiology and social science. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, 359(1449), 1447–1451. https://doi.org/10.1098/rstb.2004.1520CrossRefPubMedPubMedCentral

13.

Steptoe, A., Wardle, J., & Marmot, M. (2005). Positive affect and health-related neuroendocrine, cardiovascular, and inflammatory processes. Proceedings of the National Academy of Sciences of the United States of America, 102(18), 6508–6512. https://doi.org/10.1073/pnas.0409174102CrossRefPubMedPubMedCentral

14.

Johnson, R., Jenkinson, D., Stinton, C., Taylor-Phillips, S., Madan, J., Stewart-Brown, S., & Clarke, A. (2016). Where’s WALY? : A proof of concept study of the “wellbeing adjusted life year” using secondary analysis of cross-sectional survey data. Health and Quality of Life Outcomes, 14, 9. https://doi.org/10.1186/s12955-016-0532-5CrossRef

15.

Scottish Government. (2018). National indicator performance. Retrieved 3 January 2019, from https://nationalperformance.gov.scot/measuring-progress/national-indicator-performance

16.

Diana Bardsley, Lucy Dean, Isla Dougall, Qingyang Feng, Linsay Gray, Malin Karikoski, Joe Rose, Caroline Stevens, & Leyland, A. H. (2017). The Scottish Health Survey: A National Statistics Publication for Scotland.

17.

Parkinson, J. (2007). Establishing a core set of national, sustainable mental health indicators for adults in Scotland: Rationale paper. Glasgow: NHS Health Scotland

18.

Ng Fat, L., Scholes, S., Boniface, S., Mindell, J., & Stewart-Brown, S. (2017). Evaluating and establishing national norms for mental wellbeing using the short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS): Findings from the Health Survey for England. Quality of Life Research, 26(5), 1129–1144. https://doi.org/10.1007/s11136-016-1454-8CrossRefPubMed

19.

Bass, M., Dawkin, M., Muncer, S., Vigurs, S., & Bostock, J. (2016). Validation of Warwick-Edinburgh mental well-being scale (WEMWBS) in a population of people using secondary care mental health services. Journal of Mental Health, 25(4), 323–329. https://doi.org/10.3109/09638237.2015.1124401CrossRefPubMed

20.

Rogers, K. D., Dodds, C., Campbell, M., & Young, A. (2018). The validation of the Short Warwick-Edinburgh mental well-being scale (SWEMWBS) with deaf British sign language users in the UK. Health and Quality of Life Outcomes, 16(1), 145. https://doi.org/10.1186/s12955-018-0976-xCrossRefPubMedPubMedCentral

21.

Willis, G. B. (2004) Cognitive interviewing: A tool for improving questionnaire design: Sage Publications

22.

Murtagh, F. E. M., Addington-Hall, J. M., & Higginson, I. J. (2007). The value of cognitive interviewing techniques in palliative care research. Palliative Medicine, 21(2), 87–93. https://doi.org/10.1177/0269216306075367CrossRefPubMed

23.

Bailey, C., Kinghorn, P., Orlando, R., Armour, K., Perry, R., Jones, L., & Coast, J. (2016). ‘The ICECAP-SCM tells you more about what I’m going through’: A think-aloud study measuring quality of life among patients receiving supportive and palliative care. Palliative Medicine, 30(7), 642–652. https://doi.org/10.1177/0269216315624890CrossRefPubMed

24.

Al-Janabi, H., Keeley, T., Mitchell, P., & Coast, J. (2013). Can capabilities be self-reported? A think aloud study. Social Science & Medicine, 87, 116–122. https://doi.org/10.1016/j.socscimed.2013.03.035CrossRef

25.

Goodwin, E., Davey, A., Green, C., & Hawton, A. (2021). What drives differences in preferences for health states between patients and the public? A qualitative investigation of respondents’ thought processes. Social Science & Medicine, 282, 114150. https://doi.org/10.1016/j.socscimed.2021.114150CrossRef

26.

Ryan, M., Watson, V., & Entwistle, V. (2009). Rationalising the ‘irrational’: A think aloud study of discrete choice experiment responses. Health economics, 18(3), 321–336. https://doi.org/10.1002/hec.1369CrossRefPubMed

27.

Spencer, A. (2003). The TTO method and procedural invariance. Health Economics, 12(8), 655–668. https://doi.org/10.1002/hec.768CrossRefPubMed

28.

Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology & Health, 25(10), 1229–1245. https://doi.org/10.1080/08870440903194015CrossRef

29.

Hensher, D. A., Rose, J. M., Rose, J. M., & Greene, W. H. (2005). Applied choice analysis: a primer: Cambridge university press

30.

Oppe, M., & Van Hout, B. (2017). The “power” of eliciting EQ-5D-5L values: the experimental design of the EQ-VT. EuroQolWorking Paper Series, 17003

31.

Stolk, E., Ludwig, K., Rand, K., van Hout, B., & Ramos-Goni, J. M. (2019). Overview, update, and lessons learned from the international EQ-5D-5L valuation work: Version 2 of the EQ-5D-5L valuation protocol. Value in Health, 22(1), 23–30. https://doi.org/10.1016/j.jval.2018.05.010CrossRefPubMed

32.

Collins, D. (2014). Cognitive interviewing practice: Sage

33.

Coast, J. (2017). Qualitative Methods for Health Economics: Rowman & Littlefield International Limited

34.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oaCrossRef

35.

Al-Janabi, H., McLoughlin, C., Oyebode, J., Efstathiou, N., & Calvert, M. (2019). Six mechanisms behind carer wellbeing effects: A qualitative study of healthcare delivery. Social Science & Medicine, 235, 112382. https://doi.org/10.1016/j.socscimed.2019.112382CrossRef

36.

Strauss, A., & Corbin, J. (1990) Basics of qualitative research: Sage publications

37.

Coast, J., & Jackson, L. (2017) Understanding primary data analysis. Qualitative methods for health economics, 92

38.

Campbell, D., Hutchinson, W. G., & Scarpa, R. (2006) Lexicographic preferences in discrete choice experiments. Consequences on individual-specific willingness to pay estimates. https://doi.org/10.22004/ag.econ.12224

39.

Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive psychology, 5(2), 207–232. https://doi.org/10.1016/0010-0285(73)90033-9CrossRef

40.

Ramos-Goni, J. M., Oppe, M., Slaap, B., Busschbach, J. J. V., & Stolk, E. (2017). Quality control process for EQ-5D-5L valuation studies. Value in Health, 20(3), 466–473. https://doi.org/10.1016/j.jval.2016.10.012CrossRefPubMed

41.

Ferreira, P. L., Antunes, P., Ferreira, L. N., Pereira, L. N., & Ramos-Goñi, J. M. (2019). A hybrid modelling approach for eliciting health state preferences: The Portuguese EQ-5D-5L value set. Quality of Life Research, 28(12), 3163–3175. https://doi.org/10.1007/s11136-019-02226-5CrossRefPubMed

42.

Wong, E. L. Y., Ramos-Goni, J. M., Cheung, A. W. L., Wong, A. Y. K., & Rivero-Arias, O. (2018). Assessing the use of a feedback module to model EQ-5D-5L health states values in Hong Kong. Patient-Patient Centered Outcomes Research, 11(2), 235–247. https://doi.org/10.1007/s40271-017-0278-0CrossRefPubMed

43.

Daly, A., Dekker, T., & Hess, S. (2016). Dummy coding vs effects coding for categorical variables: Clarifications and extensions. Journal of Choice Modelling, 21, 36–41. https://doi.org/10.1016/j.jocm.2016.09.005CrossRef

44.

Lancsar, E., Fiebig, D. G., & Hole, A. R. (2017). Discrete choice experiments: A guide to model specification, estimation and software. PharmacoEconomics, 35(7), 697–716. https://doi.org/10.1007/s40273-017-0506-4CrossRefPubMed

45.

Veldwijk, J., Lambooij, M. S., de Bekker-Grob, E. W., Smit, H. A., & de Wit, G. A. (2014). The effect of including an opt-out option in discrete choice experiments. PLoS ONE, 9(11), 9. https://doi.org/10.1371/journal.pone.0111805CrossRef

46.

Stewart-Brown, S., Tennant, A., Tennant, R., Platt, S., Parkinson, J., & Weich, S. (2009). Internal construct validity of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS): A Rasch analysis using data from the Scottish Health Education Population Survey. Health and Quality of Life Outcomes, 7, 8. https://doi.org/10.1186/1477-7525-7-15CrossRef

47.

Bartram, D. J., Sinclair, J. M., & Baldwin, D. S. (2013). Further validation of the Warwick-Edinburgh mental well-being scale (WEMWBS) in the UK veterinary profession: Rasch analysis. Quality of Life Research, 22(2), 379–391. https://doi.org/10.1007/s11136-012-0144-4CrossRefPubMed

48.

Mukuria, C., Peasgood, T., & Brazier, J. (2021). Applying EuroQol Portable Valuation Technology to the EQ Health and Wellbeing Short (EQHWB-S): A pilot study. University of Sheffield Discussion Paper Series.

Title: The use of composite time trade-off and discrete choice experiment methods for the valuation of the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS): a think-aloud study
Authors: Hei Hang Edmund Yiu
Hareth Al-Janabi
Sarah Stewart-Brown
Stavros Petrou
Jason Madan
Publication date: 24-03-2022
Publisher: Springer International Publishing
Published in: Quality of Life Research / Issue 9/2022
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-022-03123-0

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The use of composite time trade-off and discrete choice experiment methods for the valuation of the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS): a think-aloud study

Abstract

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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