Deriving health utilities from the MacNew Heart Disease Quality of Life Questionnaire

European Journal of Cardiovascular Nursing

Volumn 14, Issue 5, 2015, Pages 405-415

  Chen, Gang ^a   Mckie, John ^b   Khan, Munir A ^b   Richardson, Jeff R ^b  

^a FLINDERS UNIVERSITY   (Australia)

^b MONASH UNIVERSITY   (Australia)

Author keywords

heart disease; MacNew Heart Disease Quality of Life Questionnaire; mapping; multi attribute utility; Quality of life

Indexed keywords

15 DIMENSION; ADULT; ALGORITHM; ARTICLE; ASSESSMENT OF QUALITY OF LIFE 8D; CONTROLLED STUDY; FEMALE; HEALTH CARE UTILIZATION; HEALTH UTILITIES INDEX 3; HEART DISEASE; HUMAN; MACNEW HEART DISEASE QUALITY OF LIFE QUESTIONNAIRE; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; QUALITY OF LIFE ASSESSMENT; QUALITY OF WELLBEING; QUESTIONNAIRE; SHORT FORM 6D; STATISTICAL ANALYSIS; AGED; AUSTRALIA; CANADA; CLINICAL TRIAL; COMPARATIVE STUDY; COST BENEFIT ANALYSIS; CROSS-SECTIONAL STUDY; ECONOMICS; GERMANY; HEALTH CARE COST; HEART DISEASES; INTERNATIONAL COOPERATION; MIDDLE AGED; MULTICENTER STUDY; NORWAY; OUTCOME ASSESSMENT; PREDICTIVE VALUE; PSYCHOLOGY; QUALITY OF LIFE; REPRODUCIBILITY; UNITED STATES;

ADULT; AGED; ALGORITHMS; AUSTRALIA; CANADA; COST-BENEFIT ANALYSIS; CROSS-SECTIONAL STUDIES; FEMALE; GERMANY; HEALTH CARE COSTS; HEART DISEASES; HUMANS; INTERNATIONALITY; MALE; MIDDLE AGED; NORWAY; OUTCOME ASSESSMENT (HEALTH CARE); PREDICTIVE VALUE OF TESTS; QUALITY OF LIFE; REPRODUCIBILITY OF RESULTS; SURVEYS AND QUESTIONNAIRES; UNITED STATES;

EID: 84942026168     PISSN: 14745151     EISSN: 18731953     Source Type: Journal    
DOI: 10.1177/1474515114536096     Document Type: Article

References (27)

1. Murray CJL, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2197-2223.
2. WHO. Global atlas on cardiovascular disease prevention and control. Geneva: World Health Organization, 2011.
3. Allender S, Scarborough P, Peto V, et al. European cardiovascular disease statistics, http://www.herzstiftung.ch/uploads/media/European-cardiovascular-disease-statistics-2008.pdf (2008,. accessed 21 October 2013).
4. Centers for Disease Control and Prevention. Heart disease facts., http://www.cdc.gov/heartdisease/facts.htm (2013,. accessed 21 October 2013).
5. Mortimer D, Segal L,. Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QALY-weights. Med Decis Making. 2008; 28: 66-89.
6. Brazier J, Ratcliffe J, Salomon J, et al. Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press, 2007.
7. National Institute for Health and Clinical Excellence (NICE). Guide to the methods of technology appraisal 2013. London: NICE, 2013.
8. Richardson J, Iezzi A, Khan MA, et al. Cross-national comparison of twelve quality of life instruments: MIC Paper 1: Background, questions, instruments, Research Paper 76. Melbourne: Centre for Health Economics, Monash University, 2012a.
9. Rickham PP,. Human experimentation. Code of ethics of the World Medical Association. Declaration of Helsinki. Brit Med J. 1964; 2: 177.
10. Richardson J, McKie J, Bariola E,. Multi attribute utility instruments and their use. In: Culyer AJ, (ed.) encyclopedia of health economics. San Diego: Elsevier Science, 2014, pp. 341-357.
11. Dixon T, Lim LY, Oldridge N,. The MacNew heart disease health related quality of life instrument: Reference data for users. Qual Life Res 2002; 11: 173-183.
12. Brazier J, Yang Y, Tsuchiya A, et al. A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. Eur J Health Econ 2010; 11: 215-225.
13. Verardi V, Croux C,. Robust regression in Stata. Stata J 2009; 9: 439-453.
14. Jann B,. ROBREG: Stata module providing robust regression estimators, http://ideas.repec.org/c/boc/bocode/s457114.html (2010,. accessed 7 May 2014).
15. Fox J,. Applied regression analysis and generalized linear models (second edition). Thousand Oaks, California: SAGE Publications, 2008.
16. Kay S, Tolley K, Colayco D, et al. Mapping EQ-5D Utility scores from the Incontinence Quality of Life Questionnaire among patients with neurogenic and idiopathic overactive bladder. Value Health 2013; 16: 394-402.
17. Dakin H, Petrou S, Haggard M, et al. Mapping analyses to estimate health utilities based on responses to the OM8-30 otitis media questionnaire. Qual Life Res 2010; 19: 65-80.
18. Rabe-Hesketh S, Everitt B,. A handbook of statistical analyses using Stata (fourth edition). Boca Raton, Florida: Chapman and Hall/CRC, 2007.
19. Kontodimopoulos N, Aletras V, Paliouras D, et al. Mapping the cancer-specific EORTC QLQ-C30 to the preferenced-based EQ-5D, SF-6D and 15D instruments. Value Health 2009; 8: 1151-1157.
20. Menzel P, Dolan P, Richardson J, et al. The role of adaptation to disability and disease in health state valuation: A preliminary normative system. Soc Sci Med 2002; 55: 2149-2158.
21. Husereau D, Drummond M, Petrou S, et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS)-explanation and elaboration: A report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force. Value Health 2013; 16: 231-250.
22. Heijink R, van Baal P, Oppe M, et al. Decomposing cross-country differences in quality adjusted life expectancy: The impact of value sets. Popul Health Metr 2011; 9: 17.
23. Cameron AC, Trivedi PK,. Microeconometrics: Methods and applications. New York: Cambridge University Press, 2005.
24. Rabin R, Oemar M, Oppe M, et al. EQ-5D-5L User Guide: Basic information on how to use the EQ-5D-5L instrument. Rotterdam: EuroQoL Group, 2011.
25. Brazier J, Roberts J, Deverill M,. The estimation of a preference-based measure of health from the SF-36. J Health Econ 2002; 21: 271-292.
26. Feeny D, Furlong W, Torrance G, et al. Multi attribute and single attribute utility functions for the Health Utilities Index Mark 3 System. Med Care 2002; 40: 113-128.
27. Sintonen H, Pekurinen M,. A fifteen-dimensional measure of health related quality of life (15D) and its applications. In: Walker S, Rosser R, (eds) Quality of life assessment. Dordrecht: Kluwer Academic Publishers, 1993, pp. 185-195.