An evaluation of the Assessment of Quality of Life utility instrument as a measure of the impact of injury on health-related quality of life

International Journal of Injury Control and Safety Promotion

Volumn 12, Issue 4, 2005, Pages 227-239

  Watson, Wendy L ^a   Ozanne Smith, Joan ^a   Richardson, Jeff ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

AQoL; Health related quality of life; Injury; Outcomes; SF 36

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; AUSTRALIA; CLASSIFICATION; CLINICAL TRIAL; DAILY LIFE ACTIVITY; DISABILITY; FEMALE; HUMAN; INJURY; INJURY SCALE; LENGTH OF STAY; MALE; MIDDLE AGED; MULTICENTER STUDY; PSYCHOLOGICAL ASPECT; QUALITY OF LIFE; QUESTIONNAIRE; RETROSPECTIVE STUDY; SICKNESS IMPACT PROFILE; TREATMENT OUTCOME; VALIDATION STUDY;

ACTIVITIES OF DAILY LIVING; ADOLESCENT; ADULT; AGED; DISABILITY EVALUATION; FEMALE; HUMANS; INJURY SEVERITY SCORE; LENGTH OF STAY; MALE; MIDDLE AGED; QUALITY OF LIFE; QUESTIONNAIRES; RETROSPECTIVE STUDIES; SICKNESS IMPACT PROFILE; TREATMENT OUTCOME; VICTORIA; WOUNDS AND INJURIES;

EID: 33644985693     PISSN: 17457300     EISSN: 17457319     Source Type: Journal    
DOI: 10.1080/17457300500172875     Document Type: Article

References (44)

1. Australian Bureau of Statistics. 1997. National Health Survey, 1995: SF-36 population norms, ABS Cat. No. 4399.0 Canberra: Australian Bureau of Statistics.
2. Australian Bureau of Statistics. 1999. Disability, Ageing and Carers: Summary of findings, Australia 1998 Cat No. 4430.0 Canberra: Australian Bureau of Statistics.
3. Bowling, A. 1997. Measuring Health: A Review of Quality of Life Measurement Scales, 2nd, Buckingham, UK: Open University Press.
4. Brazier, J., Roberts, J. and Deverill, M. 2002. The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21: 271–292.
5. Cohen, J. 1988. Statistical Power Analysis for the Behavioural Sciences, 2nd, Hillsdale, NJ: Erlbaum.
6. EuroQol Group. 1990. EuroQoL–a new facility for the measurement of health-related quality of life. Health Policy, 16: 199–208.
7. Findler, M., Cantor, J., Haddad, L., Gordon, W. and Ashman, T. 2001. The reliability and validity of the SF-36 health survey questionnaire for use with individuals with traumatic brain injury. Brain Injury, 15: 715–723.
8. Goldney, R.D., Fisher, L.J., Dal Grande, E. and Taylor, A.W. 2004. Subsyndromal depression: prevalence, use of health services and quality of life in an Australian population. Social Psychiatry and Psychiatric Epidemiology, 39: 293–298.
9. Hawthorne, G. 2003. The effect of different methods of collecting data: Mail, telephone and filter data collection issues in utility measurement. Quality of Life Research, 12: 1081–1088.
10. Hawthorne, G., Cheok, F., Goldney, R.D. and Fisher, L. 2003. The excess cost of depression in South Australia: a population-based study. Australian and New Zealand Journal of Psychiatry, 37: 362–373.
11. Hawthorne, G. and Osborne, R. 2005. Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure, Personal communication. (submitted)
12. Hawthorne, G., Richardson, J. and Day, N.A. 2001. A comparison of the Assessment of Quality of Life (AQoL) with four other generic utility measures. Annals of Medicine, 33: 358–370.
13. Hawthorne, G., Richardson, J., Day, N. and McNeil, H. 2000. Construction and Utility Scaling of the Assessment of Quality of Life (AQoL) Instrument, Working Paper 101 Melbourne: Centre for Health Program Evaluation.
14. Hawthorne, G., Richardson, J. and Osborne, R. 1999. The Assessment of Quality of Life (AQoL) instrument: a psychometric measure of health-related quality of life. Quality of Life Research, 8: 209–224.
15. Herrman, H., Hawthorne, G. and Thomas, R. 2002. Quality of life assessment in people living with psychosis. Social Psychiatry and Psychiatric Epidemiology, 37: 510–518.
16. Hogan, A., Hawthorne, G., Kethel, L., Giles, E., White, K., Stewart, M., Plath, B. and Code, C. 2001. Health-related quality-of-life outcomes from adult cochlear implantation: a cross-sectional study. Cochlear Implants International, 2: 115–128.
17. Holbrook, T.L., Anderson, J.P., Sieber, W., Browner, D. and Hoyt, D.B. 1998. Outcome after major trauma: Discharge and 6-month follow-up results from the Trauma Recovery Project. The Journal of Trauma, 45: 315–324.
18. Holbrook, T.L., Anderson, J.P., Sieber, W., Browner, D. and Hoyt, D.B. 1999. Outcome after major trauma: 12-month and 18-month follow-up results from the Trauma Recovery Project. The Journal of Trauma, 46: 765–773.
19. Kaplan, R.M. and Anderson, J. 1988. A general health policy model: Update and applications. Health Services Research, 23: 203–235.
20. Kopjar, B. 1996. The SF-36 health survey: a valid measure of changes in health status after injury. Injury Prevention, 2: 135–139.
21. Lim, W.K., Lambert, S.F. and Gray, L.C. 2003. Effectiveness of case management and post-acute services in older people after hospital discharge. Medical Journal of Australia, 178: 262–266.
22. McCarthy, M.L. and MacKenzie, E.J. 2001. Predicting ambulatory function following lower extremity trauma using the functional capacity index. Accident Analysis and Prevention, 33: 821–831.
23. MacKenzie, E.J. 2001. “ Measuring disability and quality of life postinjury ”. In Injury Control: A Guide to Research and Program Evaluation, Edited by: Rivara, F.P., Cummings, P., Koepsall, T.D., Grossman, D.C. and Maier, R.V. Cambridge, UK: Cambridge University Press.
24. MacKenzie, E.J., Damiano, A., Miller, T. and Luchter, S. 1996. The development of the Functional Capacity Index. Journal of Trauma, 41: 799–807.
25. MacKenzie, E.J., Sacco, W.J., Luchter, S., Ditunno, J.F., Staz, C.F., Gruen, G.S., Marion, D.W., Schwab, W.C. and the Pennsylvania Study Group on Functional Outcomes Following Trauma. 2002. Validating the Functional Capacity Index as a measure of outcome following blunt multiple trauma. Quality of Life Research:An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 11: 797–808.
26. Mathers, C., Vos, T. and Stevenson, C. 1999. The Burden of Disease and Injury in Australia, AIHW Cat. no. PHE17 Canberra: Australian Institute of Health and Welfare.
27. Meerding, J.W., Looman, C.W., Essink-Bot, M.-L., Toet, H., Mulder, S. and van Beeck, E.F. 2004. Distribution and determinants of health and work status in a comprehensive population of injury patients. The Journal of Trauma, 56: 150–161.
28. Nagi, S.Z. 1991. “ Disability concepts revisited: Implications for prevention ”. In Disability in America: Towards a National Agenda for Prevention, Edited by: Pope, A.M. and Tarlov, A.R. Washington, DC: National Academy Press.
29. National Health and Medical Research Council. 1999. National Statement on Ethical Conduct in Research involving Humans, Canberra: NHMRC.
30. Osborne, R.H., Hawthorne, G., Lew, E.A. and Gray, L.C. 2003. Quality of life assessment in community-dwelling elderly: Validation of the Assessment of Quality of Life Instrument with the SF-36. Journal of Clinical Epidemiology, 56: 138–147.
31. Osborne, R., Hawthorne, G., Papanicolaou, M. and Wegmueller, Y. 2000. Measurement of rapid changes in health-related quality of life (HRQoL) in people with influenza. Journal of Outcomes Research, 4: 15–30.
32. Sanson-Fisher, R. and Perkins, J. 1998. Adaptation and validation of the SF-36 Health Survey for use in Australia. Journal of Clinical Epidemiology, 51: 961–967.
33. Segal, L., Day, S.E., Chapman, A.B. and Osborne, R.H. 2004a. Can we reduce the disease burden from osteoarthritis? An evidence-based priority-setting model. Medical Journal of Australia, 180: S11–S17.
34. Segal, L., Dunt, D., Day, S.E., Day, N.A., Robertson, I. and Hawthorne, G. 2004b. Introducing co-ordinated care (1): a randomised trial assessing client and cost outcomes. Health Policy, 69: 201–213.
35. South Australian Health Commission. 1998. South Australian Health Omnibus Survey, Adelaide: South Australian Health Commission, Epidemiology Branch.
36. SPSS Inc. 2002. Statistical Package for the Social Sciences, SPSS 11.5 for Windows, Chicago, IL: SPSS Inc.
37. Sturm, J.W., Osborne, R.H., Dewey, H.M., Donnan, G.A., MacDonnell, R.A. and Thrift, A.G. 2002. Brief comprehensive quality of life after stroke: The Assessment of Quality of Life Instrument in the North East Melbourne Stroke Incidence Study (NEMESIS). Stroke, 33: 2888–2894.
38. Torrance, G.W., Boyle, M. and Horwood, S. 1982. Application of multi-attribute utility theory to measure social preferences for health states. Operations Research, 30: 1043–1049.
39. Ware, J. and Gandek, B. 1998. Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. Journal of Clinical Epidemiology, 51: 903–912.
40. Ware, J., Kosinski, M. and Keller, S. 1994. SF-36 Physical and Mental Health Summary Scores: A User's Manual, Boston, MA: The Health Institute.
41. Watson, W.L. and Ozanne-Smith, J. 1997. The Cost of Injury to Victoria, Report No.: 124 Melbourne: Monash University Accident Research Centre.
42. Wlodarczyk, J.H., Brodaty, H. and Hawthorne, G. 2004. The relationship between quality of life, Mini-Mental State Examination, and the Instrumental Activities of Daily Living in patients with Alzheimer's disease. Archives of Gerontology and Geriatrics, 39: 25–33.
43. World Health Organization. 1980. International Classification of Impairments, Disabilities and Handicaps, Geneva: WHO.
44. wendy.watson@general.monash.edu.au