Assessing outcomes for cost-utility analysis in mental health interventions: mapping mental health specific outcome measure GHQ-12 onto EQ-5D-3L

Health and Quality of Life Outcomes

Research

Marie Lindkvist¹  Inna Feldman² 

[1] Department of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå, Sweden;Department of Statistics, Umeå University, Umeå, Sweden;Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden;

关键词: Mapping;    Preference-based measures;    Mental health;    Quality of life;    Utilities;   

DOI  :  10.1186/s12955-016-0535-2

 received in 2016-02-03, accepted in 2016-09-09,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundMany intervention-based studies aiming to improve mental health do not include a multi-attribute utility instrument (MAUI) that produces quality-adjusted life-years (QALYs) and it limits the applicability of the health economic analyses. This study aims to develop ‘crosswalk’ transformation algorithm between a measure for psychological distress General Health Questionnaire (GHQ-12) and MAUI EuroQoL (EQ-5D-3L).MethodsThe study is based on a survey questionnaire sent to a random sample in four counties in Sweden in 2012. The survey included GHQ-12 and EQ-5D instruments, as well as a question about self-rated health. The EQ-5D index was calculated using the UK and the Swedish tariff values. Two OLS models were used to estimate the EQ-5D health state values using the GHQ-12 as exposure, based on the respondents (n = 17, 101) of two counties. The algorithms were applied to the data from two other counties, (n = 15, 447) to check the predictive capacity of the models.ResultsThe final models included gender, age, self-rated health and GHQ-12 scores as a quantitative variable. The regression equations explained 40 % (UK tariff) and 46 % (Swedish tariff) of the variances. The model showed a satisfying predictive capacity between the observed and the predicted EQ-5D index score, with Pearson correlation = 0.65 and 0.69 for the UK and Swedish models, respectively.ConclusionThe algorithms developed in this study can be used to determine cost-effectiveness of services or interventions that use GHQ-12 as a primary outcome where the utility measures are not collected.

【 授权许可】

CC BY   
© The Author(s). 2016