To take or not to take: the association between perceived addiction risk, expected analgesic response and likelihood of trying novel pain relievers in self-identified chronic pain patients
| Autor: | D. Andrew Tompkins, Matthew W. Johnson, Patrick S. Johnson, Robert R. Edwards, Eric C. Strain, Andrew S. Huhn, Michael T. Smith |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
business.industry Addiction media_common.quotation_subject Analgesic Chronic pain Medicine (miscellaneous) medicine.disease Impulsivity Mental health 03 medical and health sciences Psychiatry and Mental health 0302 clinical medicine Opioid Pain reduction medicine 030212 general & internal medicine medicine.symptom Psychiatry business Association (psychology) 030217 neurology & neurosurgery media_common medicine.drug |
| Zdroj: | Addiction. 113:67-79 |
| ISSN: | 0965-2140 |
| DOI: | 10.1111/add.13922 |
| Popis: | Background and aims Probability discounting refers to the effect of outcome uncertainty on decision making. Using probability discounting, we examined the degree to which self-identified chronic pain patients (CPP) were likely to try a novel analgesic medication given increasing addiction risk. We postulated that propensity for opioid misuse, trait impulsivity, and previous opioid experience would be positively associated with likelihood of risky medication use. Design This cross-sectional online study determined state/trait associations with addiction-related medication decisions in CPP. Setting US-based CPP participated via Amazon Mechanical Turk; data were collected and analyzed in Baltimore, Maryland. Participants 263 CPP (70% female) participated in the study from December 12-13, 2014. Measurements CPP responded to the Benefit vs. Addiction Risk Questionnaire (BARQ) assessing likelihood of taking a hypothetical once-daily oral analgesic medication as a function of two factors: risk of addiction (0%-50%) and duration of expected complete pain relief (3, 30, or 365 days). The primary outcome was the BARQ, quantified as area-under-the-curve (AUC). Grouping of CPP at high or low risk for opioid misuse was based on the Screener and Opioid Assessment for Patients in Pain-Revised (SOAPP-R). Predictors included previous experience with opioids, as well as various measures of chronic pain and mental health. Findings Across hypothetical addiction risk assessed in the BARQ, the likelihood of taking a novel analgesic medication was significantly elevated in patients with high (>18; n=137) versus low ( |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text