Skip to main content
Top
Published in: Quality of Life Research 11/2020

Open Access 01-11-2020 | Affective Disorder

Filling the psycho-social gap in the EQ-5D: the empirical support for four bolt-on dimensions

Authors: Gang Chen, Jan Abel Olsen

Published in: Quality of Life Research | Issue 11/2020

Login to get access

Abstract

Purpose

The EQ-5D is the most widely applied generic preference-based measure (GPBM) of health-related quality of life (HRQoL). Much concern has been raised that its descriptive system is lacking psycho-social dimensions. A recent paper in this journal provided theoretical support for four dimensions to fill this gap. The current paper aims to provide empirical support for these suggested bolt-on dimensions to the EQ-5D.

Methods

We use data from the comprehensive Multi-Instrument-Comparison (MIC) study. The four proposed bolt-on dimensions (Vitality, Sleep, Social Relationships, and Community Connectedness) were selected from the Assessment of Quality of Life (AQoL)-8D. We investigate the relative importance of these four dimensions as compared to the five EQ-5D-5L dimensions on explaining HRQoL (measured by a visual analogue scale; N = 7846) or global life satisfaction (measured by the Satisfaction With Life Scale; N = 8005), using the Shorrocks-Shapely decomposition analysis. Robustness analyses on Vitality was conducted using data from the United States National Health Measurement Study (NHMS) (N = 3812).

Results

All five EQ-5D-5L dimensions and four bolt-on dimensions significantly explained the variance of HRQoL. Among them, Vitality was found to be the most important dimension with regard to the HRQoL (relative contribution based on the Shorrocks-Shapely decomposition of R2: 23.0%), followed by Usual Activities (15.1%). Self-Care was the least important dimension (relative contribution: 5.4%). As a comparison, when explaining global life satisfaction, Social Relationships was the most important dimension (relative contribution: 24.0%), followed by Anxiety/Depression (23.2%), while Self-Care remained the least important (relative contribution: 1.6%). The importance of the Vitality dimension in explaining HRQoL was supported in the robustness analysis using the NHMS data (relative contribution: 23.7%).

Conclusions

We provide empirical support for complementing the current EQ-5D-5L descriptive system with a coherent set of four bolt-on dimensions that will fill its psycho-social gap. Such an extended health state classification system would in particular be relevant for programme evaluations within the expanding fields of mental health and community care.
Appendix
Available only for authorised users
Literature
1.
go back to reference Richardson, J., McKie, J., & Bariola, E. (2014). Multi attribute utility instruments and their use. In A. J. Culyer (Ed.), Encyclopedia of health economics (pp. 341–357). San Diego: Elsevier Science.CrossRef Richardson, J., McKie, J., & Bariola, E. (2014). Multi attribute utility instruments and their use. In A. J. Culyer (Ed.), Encyclopedia of health economics (pp. 341–357). San Diego: Elsevier Science.CrossRef
2.
go back to reference Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., et al. (2011). Development and preliminary testing of the new five-level version of the EQ-5D (EQ-5D-5L). Quality of Life Research, 20, 1727–1736.CrossRefPubMedPubMedCentral Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., et al. (2011). Development and preliminary testing of the new five-level version of the EQ-5D (EQ-5D-5L). Quality of Life Research, 20, 1727–1736.CrossRefPubMedPubMedCentral
3.
go back to reference Longworth, L., Yang, Y., Young, T., Mulhern, B., Hernández Alava, M., Mukuria, C., et al. (2014). Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: A systematic review, statistical modelling and survey. Health Technology Assessment, 18(9), 1–224.CrossRefPubMed Longworth, L., Yang, Y., Young, T., Mulhern, B., Hernández Alava, M., Mukuria, C., et al. (2014). Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: A systematic review, statistical modelling and survey. Health Technology Assessment, 18(9), 1–224.CrossRefPubMed
4.
go back to reference Bowling, A. (2004). Measuring health: A review of quality of life measurement scales (3rd ed.). Maidenhead, GB: Open University. Bowling, A. (2004). Measuring health: A review of quality of life measurement scales (3rd ed.). Maidenhead, GB: Open University.
5.
go back to reference Olsen, J. A., & Misajon, R. (2020). A conceptual map of health-related quality of life dimensions: Key lessons for a new instrument. Quality of Life Research, 29, 733–743.CrossRefPubMed Olsen, J. A., & Misajon, R. (2020). A conceptual map of health-related quality of life dimensions: Key lessons for a new instrument. Quality of Life Research, 29, 733–743.CrossRefPubMed
6.
go back to reference Dewitt, B., Feeny, D., Fischhoff, B., et al. (2018). Estimation of a preference-based summary score for the Patient-Reported Outcomes Measurement Information System: The PROMIS®-Preference (PROPr) scoring system. Medical Decision Making, 38(6), 683–698.CrossRefPubMedPubMedCentral Dewitt, B., Feeny, D., Fischhoff, B., et al. (2018). Estimation of a preference-based summary score for the Patient-Reported Outcomes Measurement Information System: The PROMIS®-Preference (PROPr) scoring system. Medical Decision Making, 38(6), 683–698.CrossRefPubMedPubMedCentral
7.
go back to reference International Wellbeing Group. (2013). Personal Wellbeing Index (5th ed.). Melbourne: Australian Centre on Quality of Life, Deakin University. International Wellbeing Group. (2013). Personal Wellbeing Index (5th ed.). Melbourne: Australian Centre on Quality of Life, Deakin University.
8.
go back to reference Richardson, J., Khan, M. A., Iezzi, A., & Maxwell, A. (2014). Comparing and explaining differences in the magnitude, content, and sensitivity of utilities predicted by the EQ-5D, SF-6D, HUI 3, 15D, QWB, and AQoL-8D multiattribute utility instruments. Medical Decision Making, 35(3), 276–291.CrossRefPubMed Richardson, J., Khan, M. A., Iezzi, A., & Maxwell, A. (2014). Comparing and explaining differences in the magnitude, content, and sensitivity of utilities predicted by the EQ-5D, SF-6D, HUI 3, 15D, QWB, and AQoL-8D multiattribute utility instruments. Medical Decision Making, 35(3), 276–291.CrossRefPubMed
9.
go back to reference Richardson, J., Chen, G., Khan, M. A., & Iezzi, A. (2015). Can multi-attribute utility instruments adequately account for subjective well-being? Medical Decision Making, 35(3), 292–304.CrossRefPubMed Richardson, J., Chen, G., Khan, M. A., & Iezzi, A. (2015). Can multi-attribute utility instruments adequately account for subjective well-being? Medical Decision Making, 35(3), 292–304.CrossRefPubMed
10.
go back to reference Richardson, J., Iezzi, A., Khan, M. A., Chen, G., & Maxwell, A. (2016). Measuring the sensitivity and construct validity of 6 utility instruments in 7 disease areas. Medical Decision Making, 36(2), 147–159.CrossRefPubMed Richardson, J., Iezzi, A., Khan, M. A., Chen, G., & Maxwell, A. (2016). Measuring the sensitivity and construct validity of 6 utility instruments in 7 disease areas. Medical Decision Making, 36(2), 147–159.CrossRefPubMed
11.
go back to reference Richardson, J., Sinha, K., Iezzi, A., & Khan, M. (2014). Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D. Quality of Life Research, 23(8), 2395–2404.CrossRefPubMed Richardson, J., Sinha, K., Iezzi, A., & Khan, M. (2014). Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D. Quality of Life Research, 23(8), 2395–2404.CrossRefPubMed
13.
go back to reference Shorrocks, A. F. (1982). Inequality decomposition by factor components. Econometrica, 50(1), 193–211.CrossRef Shorrocks, A. F. (1982). Inequality decomposition by factor components. Econometrica, 50(1), 193–211.CrossRef
14.
go back to reference Juarez, F. C. (2012). SHAPLEY2: Stata module to compute additive decomposition of estimation statistics by regressors or groups of regressors. Statistical Software Components S457543, Boston College Department of Economics, revised 17 Jun 2015. Juarez, F. C. (2012). SHAPLEY2: Stata module to compute additive decomposition of estimation statistics by regressors or groups of regressors. Statistical Software Components S457543, Boston College Department of Economics, revised 17 Jun 2015.
15.
go back to reference Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75.CrossRefPubMed Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75.CrossRefPubMed
16.
go back to reference Oishi, S. (2006). The concept of life satisfaction across cultures: An IRT analysis. Journal of Research in Personality, 40(4), 411–423.CrossRef Oishi, S. (2006). The concept of life satisfaction across cultures: An IRT analysis. Journal of Research in Personality, 40(4), 411–423.CrossRef
17.
go back to reference Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41(3), 321–327.CrossRef Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41(3), 321–327.CrossRef
18.
go back to reference Zwick, W. R., & Velicer, W. F. (1986). Factors influencing five rules for determining the number of components to retain. Psychological Bulletion, 99(3), 432–442.CrossRef Zwick, W. R., & Velicer, W. F. (1986). Factors influencing five rules for determining the number of components to retain. Psychological Bulletion, 99(3), 432–442.CrossRef
19.
go back to reference Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed
20.
go back to reference Finch, A. P., Brazier, J. E., Mukuria, C., et al. (2017). An exploratory study on using principal-component analysis and confirmatory factor analysis to identify bolt-on dimensions: The EQ-5D case study. Value in Health, 20(10), 1362–1375.CrossRefPubMed Finch, A. P., Brazier, J. E., Mukuria, C., et al. (2017). An exploratory study on using principal-component analysis and confirmatory factor analysis to identify bolt-on dimensions: The EQ-5D case study. Value in Health, 20(10), 1362–1375.CrossRefPubMed
21.
go back to reference Finch, A. P., Brazier, J. E., & Mukuria, C. (2019). Selecting bolt-on dimensions for the EQ-5D: Examining their contribution to health-related quality of life. Value in Health, 22(1), 50–61.CrossRefPubMed Finch, A. P., Brazier, J. E., & Mukuria, C. (2019). Selecting bolt-on dimensions for the EQ-5D: Examining their contribution to health-related quality of life. Value in Health, 22(1), 50–61.CrossRefPubMed
22.
go back to reference Mukuria, C., & Brazier, J. (2013). Valuing the EQ-5D and the SF-6D health states using subjective well-being: A secondary analysis of patient data. Social Science & Medicine, 77, 97–105.CrossRef Mukuria, C., & Brazier, J. (2013). Valuing the EQ-5D and the SF-6D health states using subjective well-being: A secondary analysis of patient data. Social Science & Medicine, 77, 97–105.CrossRef
23.
go back to reference Cubi-Molla, P., de Vries, J., & Devlin, N. (2014). A study of the relationship between health and subjective well-being in Parkinson’s disease patients. Value in Health, 17(4), 372–379.CrossRefPubMed Cubi-Molla, P., de Vries, J., & Devlin, N. (2014). A study of the relationship between health and subjective well-being in Parkinson’s disease patients. Value in Health, 17(4), 372–379.CrossRefPubMed
24.
go back to reference Liu, L., Li, S., Zhao, Y., Zhang, J., & Chen, G. (2018). Health state utilities and subjective well-being among psoriasis vulgaris patients in mainland China. Quality of Life Research, 27(5), 1323–1333.CrossRefPubMed Liu, L., Li, S., Zhao, Y., Zhang, J., & Chen, G. (2018). Health state utilities and subjective well-being among psoriasis vulgaris patients in mainland China. Quality of Life Research, 27(5), 1323–1333.CrossRefPubMed
25.
go back to reference Gao, L., Moodie, M., & Chen, G. (2019). Measuring subjective wellbeing in patients with heart disease: relationship and comparison between health-related quality of life instruments. Quality of Life Research, 28(4), 1017–1028.CrossRefPubMed Gao, L., Moodie, M., & Chen, G. (2019). Measuring subjective wellbeing in patients with heart disease: relationship and comparison between health-related quality of life instruments. Quality of Life Research, 28(4), 1017–1028.CrossRefPubMed
26.
go back to reference Chen, G., Ratcliffe, J., Kaambwa, B., McCaffrey, N., & Richardson, J. (2018). Empirical comparison between capability and two health-related quality of life measures. Social Indicators Research, 140(1), 175–190.CrossRef Chen, G., Ratcliffe, J., Kaambwa, B., McCaffrey, N., & Richardson, J. (2018). Empirical comparison between capability and two health-related quality of life measures. Social Indicators Research, 140(1), 175–190.CrossRef
27.
go back to reference Skevington, S. M., & Böhnke, J. R. (2018). How is subjective well-being related to quality of life? Do we need two concepts and both measures? Social Science & Medicine, 206, 22–30.CrossRef Skevington, S. M., & Böhnke, J. R. (2018). How is subjective well-being related to quality of life? Do we need two concepts and both measures? Social Science & Medicine, 206, 22–30.CrossRef
28.
go back to reference Yang, Y., Rowen, D., Brazier, J., et al. (2015). An exploratory study to test the impact on three “bolt-on” items to the EQ-5D. Value in Health, 18, 52–60.CrossRefPubMedPubMedCentral Yang, Y., Rowen, D., Brazier, J., et al. (2015). An exploratory study to test the impact on three “bolt-on” items to the EQ-5D. Value in Health, 18, 52–60.CrossRefPubMedPubMedCentral
29.
go back to reference Hoogendoorn, M., Oppe, M., Boland, M. R. S., et al. (2019). Exploring the impact of adding a respiratory dimension to the EQ-5D-5L. Medical Decision Making, 39, 393–404.CrossRefPubMedPubMedCentral Hoogendoorn, M., Oppe, M., Boland, M. R. S., et al. (2019). Exploring the impact of adding a respiratory dimension to the EQ-5D-5L. Medical Decision Making, 39, 393–404.CrossRefPubMedPubMedCentral
30.
go back to reference Rand-Hendriksen, K., Augestad, L. A., Kristiansen, I. S., et al. (2012). Comparison of hypothetical and experienced EQ-5D valuations: Relative weights of the five dimensions. Quality of Life Research, 21, 1005–1012.CrossRefPubMed Rand-Hendriksen, K., Augestad, L. A., Kristiansen, I. S., et al. (2012). Comparison of hypothetical and experienced EQ-5D valuations: Relative weights of the five dimensions. Quality of Life Research, 21, 1005–1012.CrossRefPubMed
Metadata
Title
Filling the psycho-social gap in the EQ-5D: the empirical support for four bolt-on dimensions
Authors
Gang Chen
Jan Abel Olsen
Publication date
01-11-2020
Publisher
Springer International Publishing
Published in
Quality of Life Research / Issue 11/2020
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02576-5

Other articles of this Issue 11/2020

Quality of Life Research 11/2020 Go to the issue