Construction of the descriptive system for the Assessment of Quality of Life AQoL-6D utility instrument

Jeffrey R J Richardson, Stuart J Peacock, Graeme Hawthorne, Angelo Iezzi, Gerald Elsworth, Neil A Day, Jeffrey R J Richardson, Stuart J Peacock, Graeme Hawthorne, Angelo Iezzi, Gerald Elsworth, Neil A Day

Abstract

Background: Multi attribute utility (MAU) instruments are used to include the health related quality of life (HRQoL) in economic evaluations of health programs. Comparative studies suggest different MAU instruments measure related but different constructs. The objective of this paper is to describe the methods employed to achieve content validity in the descriptive system of the Assessment of Quality of Life (AQoL)-6D, MAU instrument.

Methods: The AQoL program introduced the use of psychometric methods in the construction of health related MAU instruments. To develop the AQoL-6D we selected 112 items from previous research, focus groups and expert judgment and administered them to 316 members of the public and 302 hospital patients. The search for content validity across a broad spectrum of health states required both formative and reflective modelling. We employed Exploratory Factor Analysis and Structural Equation Modelling (SEM) to meet these dual requirements.

Results and discussion: The resulting instrument employs 20 items in a multi-tier descriptive system. Latent dimension variables achieve sensitive descriptions of 6 dimensions which, in turn, combine to form a single latent QoL variable. Diagnostic statistics from the SEM analysis are exceptionally good and confirm the hypothesised structure of the model.

Conclusions: The AQoL-6D descriptive system has good psychometric properties. They imply that the instrument has achieved construct validity and provides a sensitive description of HRQoL. This means that it may be used with confidence for measuring health related quality of life and that it is a suitable basis for modelling utilities for inclusion in the economic evaluation of health programs.

Figures

Figure 1
Figure 1
Structure of the AQoL-6D descriptive system.

References

    1. Richardson J, Peacock S, Iezzi A, Day NA, Hawthorne G. Construction and Validation of the Assessment of Quality of Life (AQoL) Mark 2 Instrument Research Paper 24. Melbourne: Centre for Health Economics, Monash University; 2007.
    1. Brazier J, Ratcliffe J, Salomon J, Tsuchiya A. Measuring and Valuing Health Benefits for Economic Evaluation. Oxford: Oxford University Press; 2007.
    1. Fryback DG, Palta M, Cherepanov D, Bolt D, Kim J. Comparison of 5 health related quality of life indexes using item response theory analysis. Med Decis Making. 2010;30(1):5–15. doi: 10.1177/0272989X09347016.
    1. Hawthorne G, Richardson J, Day NA. A comparison of the Assessment of Quality of Life (AQoL) with four other generic utility instruments. Ann Med. 2001;33:358–370. doi: 10.3109/07853890109002090.
    1. Richardson J, McKie J, Bariola E. In: Encyclopedia of Health Economics, Elsevier Science San Diego. Culyer AJ, editor. Melbourne: Centre for Health Economics, Monash University; 2011. Review and Critique of Related Multi Attribute Utility Instruments, Research Paper 64.
    1. Fayers PM, Machin D. Quality of Life: Assessment, Analysis and Interpretation. Chichester: John Wiley & Sons Ltd; 2000.
    1. Streiner D, Norman GR. Health Measurement Scales: A Practical Guide to their Development and Use. Oxford: Oxford University Press; 2003.
    1. Hawthorne G, Richardson J, Osborne R. The Australian Quality of Life (AQoL) instrument: a psychometric measure of health related quality of life. Qual Life Res. 1999;8:209–224. doi: 10.1023/A:1008815005736.
    1. Hawthorne G. Assessing utility where short measures are required: development of the short Assessment of Quality of Life 8 (AQoL 8) instrument. Value in Health. 2009;12(6):948–957. doi: 10.1111/j.1524-4733.2009.00526.x.
    1. Richardson J, Iezzi A, Peacock S, Sinha K, Misajon R, Keeffe J. Utility weights for the Vision Related Assessment of Quality of Life (AQoL) 7D instrument, Research Paper 67. Melbourne: Centre for Health Economics; 2011.
    1. Misajon R, Hawthorne G, Richardson J, Barton J, Peacock S, Iezzi A, Keeffe J. Vision and quality of life: The development of a utility measure. Invest Ophthalmol Vis Sci. 2005;46(11):4007–4015. doi: 10.1167/iovs.04-1389.
    1. Richardson J, Elsworth G, Iezzi A, Mihalopoulos C, Schweitzer I, Herrman H. Increasing the Sensitivity of the AQoL Inventory for Evaluation of Interventions Affecting Mental Health, Research Paper 61. Melbourne: Centre for Health Economics, Monash University; 2011.
    1. Richardson J, Sinha K, Iezzi A, Khan M. Modelling the Utility of Health States with the Assessment of Quality of Life (AQoL) 8D Instrument: Overview and Utility Scoring Algorithm, Research Paper 63. Melbourne: Centre for Health Economics, Monash University; 2011.
    1. World Health Organisation. International Classification of Impairments, Disabilities and Handicaps. Geneva: WHO; 1980.
    1. Raykov T. Estimation of composite reliability for congeneric measures. Applied Psychological Measurement. 1997;21:173–184. doi: 10.1177/01466216970212006.
    1. Day NA, Richardson J, Hawthorne G. Modelling Health Related Quality of Life for the AQoL-6D, Research Paper 51. Melbourne: Centre for Health Economics, Monash University; 2010.
    1. SPSS. SPSS for Windows Version 11.5. Chicago: SPSS Inc; 2004.
    1. Yu CY. Evaluating Cut-off Criteria of Model Fit Indices for Latent Variable Models with Binary and Continuous Outcomes, Dissertation for PhD. Los Angeles: University of California; 2002.
    1. Brown MW, Cudeck R. In: Testing Structural Equation Models. Bollen KA, Long JS, editor. Thousand Oaks: Sage; 1993. Alternate ways of assessing model fit.
    1. Edwards J, Bagozzi R. On the nature and direction of relationships between constructs and measures. Psychological Methods. 2000;5:155–174.
    1. Richardson J, Day NA, Hawthorne G, Peacock S, Iezzi A. AQoL-6D Questionnaire, vol. 2012. [Accessed 13 March 2012]; 2012.

Source: PubMed

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