Cathrine Mihalopoulos1, Gang Chen1, Angelo Iezzi1, Munir A Khan1, Jeffrey Richardson1. 1. Cathrine Mihalopoulos, BBSc(Hons), GDEcSt, PGDHthEc, PhD, Deakin Health Economics, Deakin University, Burwood, Victoria; Gang Chen, BMed, MSc, PhD, Flinders Health Economics Group, School of Medicine, Flinders University, Repatriation General Hospital, Daw Park, South Australia; Angelo Iezzi, BE (civil), MSc, Munir A. Khan, BA(Hons), MSc, MA, PhD, Jeffrey Richardson, BA(Hons), PhD, Centre for Health Economics, Faculty of Business and Economics, Monash University, Victoria, Australia.
Abstract
BACKGROUND: Many mental health surveys and clinical studies do not include a multi-attribute utility instrument (MAUI) that produces quality-adjusted life-years (QALYs). There is also some question about the sensitivity of the existing utility instruments to mental health. AIMS: To compare the sensitivity of five commonly used MAUIs (Assessment of Quality of Life - Eight Dimension Scale (AQoL-8D), EuroQoL-five dimension (EQ-5D-5L), Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), 15D) with that of disease-specific depression outcome measures (Depression Anxiety Stress Scales (DASS-21) and the Kessler Psychological Distress Scale (K10)) and develop 'crosswalk' transformation algorithms between the measures. METHOD: Individual data from 917 people with self-report depression collected as part of the International Multi-Instrument Comparison Survey. RESULTS: All the MAUIs discriminated between the levels of severity measured by the K10 and the DASS-21. The AQoL-8D had the highest correlation with the disease-specific measures and the best goodness-of-fit transformation properties. CONCLUSIONS: The algorithms developed in this study can be used to determine cost-effectiveness of services or interventions where utility measures are not collected. Royal College of Psychiatrists.
BACKGROUND: Many mental health surveys and clinical studies do not include a multi-attribute utility instrument (MAUI) that produces quality-adjusted life-years (QALYs). There is also some question about the sensitivity of the existing utility instruments to mental health. AIMS: To compare the sensitivity of five commonly used MAUIs (Assessment of Quality of Life - Eight Dimension Scale (AQoL-8D), EuroQoL-five dimension (EQ-5D-5L), Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), 15D) with that of disease-specific depression outcome measures (Depression Anxiety Stress Scales (DASS-21) and the Kessler Psychological Distress Scale (K10)) and develop 'crosswalk' transformation algorithms between the measures. METHOD: Individual data from 917 people with self-report depression collected as part of the International Multi-Instrument Comparison Survey. RESULTS: All the MAUIs discriminated between the levels of severity measured by the K10 and the DASS-21. The AQoL-8D had the highest correlation with the disease-specific measures and the best goodness-of-fit transformation properties. CONCLUSIONS: The algorithms developed in this study can be used to determine cost-effectiveness of services or interventions where utility measures are not collected. Royal College of Psychiatrists.
Authors: John F Dickerson; David H Feeny; Gregory N Clarke; Alex L MacMillan; Frances L Lynch Journal: Qual Life Res Date: 2017-11-17 Impact factor: 4.147
Authors: David G T Whitehurst; Nicole Mittmann; Vanessa K Noonan; Marcel F Dvorak; Stirling Bryan Journal: Qual Life Res Date: 2016-04-20 Impact factor: 4.147
Authors: Y Y Lee; J J Barendregt; E A Stockings; A J Ferrari; H A Whiteford; G A Patton; C Mihalopoulos Journal: Epidemiol Psychiatr Sci Date: 2016-08-11 Impact factor: 6.892
Authors: Cathrine Mihalopoulos; Lidia Engel; Long Khanh-Dao Le; Anne Magnus; Meredith Harris; Mary Lou Chatterton Journal: Qual Life Res Date: 2018-04-09 Impact factor: 4.147
Authors: C Steensma; L Loukine; H Orpana; L McRae; J Vachon; F Mo; M Boileau-Falardeau; C Reid; B C Choi Journal: Health Promot Chronic Dis Prev Can Date: 2016-10 Impact factor: 3.240