Patton, Thomas, Boehnke, Jan R., Goyal, Ravi, Manca, Andrea, Marienfeld, Carla, Martin, Natasha K., Nosyk, Bohdan, and Borquez, Annick
Purpose: 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. Methods: 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. Results: There were statistically significant reductions in HSUVs associated with extra-medical opioid use (-0.002 (95% CI [-0.003,-0.0001]) to -0.003 (95% CI [-0.005,-0.002]) per additional day of heroin or other opiate use, respectively), drug injecting compared to not injecting (-0.043 (95% CI [-0.079,-0.006])), HIV-positive diagnosis compared to no diagnosis (-0.074 (95% CI [-0.143,-0.005])), and age (-0.001 per year (95% CI [-0.003,-0.0002])). Parameters associated with medications for OUD treatment were not statistically significant after controlling for extra-medical opioid use (0.0131 (95% CI [-0.0479,0.0769])), in line with prior studies. The secondary analysis revealed that withdrawal symptoms are a fundamental driver of HSUVs, with predictions of 0.817 (95% CI [0.768, 0.858]), 0.705 (95% CI [0.607, 0.786]), and 0.367 (95% CI [0.180, 0.575]) for moderate, severe, and worst level of symptoms, respectively. Conclusion: We observed HSUVs for OUD that were higher than those from previous studies that had been conducted without input from people living with the condition. Plain English Summary: Thus far, health-related quality of life estimates for patients with opioid use disorder in the United States are limited, and importantly, they were not generated from studies among people living with the condition. This study extracted data from six clinical trials providing data among 1,777 people with opioid use disorder, made publicly available by the National Institutes of Health, to produce estimates of health-related quality of life. Our study found higher health-related quality of life estimates as compared to previous studies, modest impact of medications for opioid use disorder and strong impact of withdrawal symptoms on this outcome. These higher values among people with opioid use disorder might reflect the very negative perception of this condition among members of the general population (among whom these estimates have been generated previously). However, these relatively high estimates could also reflect an adaptation to the condition or a lack of awareness of associated-health damage in the context of dependence. The low number of observations providing data on medications for opioid use disorder led to high uncertainty around related estimates of health-related quality of life, but our findings could also reflect real experiences by patients in the absence of the positive effects of non-medication opioids, which deserve more attention in clinical practice. Our study suggests that systematically measuring withdrawal symptoms and representing these in health economic models might provide a more accurate representation of health-related quality of life among people with opioid use disorder and therefore of the impact and cost-effectiveness of interventions. Clinical trial registration details: The information reported here results from secondary analyses of data from clinical trials conducted by the National Institute on Drug Abuse (NIDA). Specifically, data from NIDA-CTN-0001 (NCT00032955 and 'Buprenorphine/Naloxone versus Clonidine for Inpatient Opiate Detoxification'), NIDA-CTN-0002 (NCT00032968 and 'Buprenorphine/Naloxone versus Clonidine for Outpatient Opiate Detoxification'), NIDA-CTN-0009 (NCT00067158 and 'Smoking Cessation Treatment with Transdermal Nicotine Replacement Therapy in Substance Abuse Rehabilitation Programs'), NIDA-CTN-0030 (NCT00316277 and 'A Two-Phase Randomized Controlled Clinical Trial of Buprenorphine/Naloxone Treatment Plus Individual Drug Counseling for Opioid Analgesic Dependence'), NIDA-CTN-0049 (NCT01612169 and 'Project HOPE - Hospital Visit as Opportunity for Prevention and Engagement for HIV-Infected Drug Users'), NIDA-CTN-0051 (NCT02032433 and 'Extended-Release Naltrexone vs. Buprenorphine for Opioid Treatment') were included. NIDA databases and information are available at (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/). [ABSTRACT FROM AUTHOR]