Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/23275
Title: Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores.
Authors: Catchpool, Max;Ramchand, Jay;Hare, David L;Martyn, Melissa;Goranitis, Ilias
Affiliation: Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
Melbourne Genomics Health Alliance, Melbourne, Victoria, Australia
Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
Department of Cardiology, Austin Health, Heidelberg, Victoria, Australia
Melbourne School of Population and Global Health, Centre for Health Policy, The University of Melbourne, Parkville, Victoria, Australia
Murdoch Children's Research Institute, Melbourne, Victoria, Australia
Australian Genomics Health Alliance, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
Issue Date: 18-May-2020
EDate: 2020-05-18
Citation: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 2020; online first: 18 May
Abstract: The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is a widely used condition-specific measure of quality of life (QoL) in patients with heart failure. To use information from the MLHFQ in an economic evaluation, the MLHFQ must be mapped onto a preference-based measure of QoL. This study aims to develop a mapping algorithm between the MLHFQ and the Assessment of Quality of Life (AQoL) 8D utility instrument in patients with dilated cardiomyopathy (DCM). MLHFQ and AQoL-8D data were collected on 61 Australian adults with idiopathic DCM or other non-hypertrophic cardiomyopathies. Three statistical methods were used as follows: ordinary least squares (OLS) regression, the robust MM estimator, and the generalised linear models (GLM). Each included a range of explanatory variables. Model performance was assessed using key goodness-of-fit measures, the mean absolute error (MAE), and the root-mean-square error (RMSE). The MLHFQ summary score and AQoL-8D utility scores were strongly correlated (r =  - 0.83, p < 0.0001) and the two subscales of the MLHFQ were correlated with the eight dimensions of the AQoL-8D. Utility scores were predicted with acceptable precision based on responses to the MLHFQ physical, emotional, social, and other subscales. OLS and GLM performed similarly with MAE and RMSE ranging 0.086-0.106 and 0.114-0.130, respectively. The mapping algorithm developed in this study allows the derivation of AQoL-8D utilities from MLHFQ scores for use in cost-effectiveness analyses and most importantly, enables the economic evaluation of alternative heart failure therapy options when only the MLHFQ has been collected.
URI: http://ahro.austin.org.au/austinjspui/handle/1/23275
DOI: 10.1007/s11136-020-02531-4
ORCID: 0000-0001-7946-8324
0000-0001-9554-6556
0000-0001-8591-1986
PubMed URL: 32424804
Type: Journal Article
Subjects: AQoL-8D
Dilated cardiomyopathy
MLHFQ
Mapping
Quality of life
Utility
Appears in Collections:Journal articles

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