Analyzing quality of life among people with opioid use disorder from the National Institute on Drug Abuse Data Share initiative: implications for decision making

We aimed to estimate health state utility values (HSUVs) for the key health states found in opioid use disorder (OUD) cost-effectiveness models in the published literature. Data obtained from six trials representing 1,777 individuals with OUD. We implemented mapping algorithms to harmonize data from different measures of quality of life (the SF-12 Versions 1 and 2 and the EQ-5D-3 L). We performed a regression analysis to quantify the relationship between HSUVs and the following variables: days of extra-medical opioid use in the past 30 days, injecting behaviors, treatment with medications for OUD, HIV status, and age. A secondary analysis explored the impact of opioid withdrawal symptoms. There were statistically significant reductions in HSUVs associated with extra-medical opioid use (-0.002 (95 https://datashare.nida.nih.gov ). Additional observational data was used to equate different measures of health-related quality of life onto the same scale using psychometric methods. These data included the National Health Measurement Study (which is available at https://www.disc.wisc.edu/ ) and the Household Component files for the Medical Expenditure Panel Survey (which is available at https://meps.ahrq.gov/mepsweb/ ).