ArticlePain medicine (Malden, Mass.)2020
Modifying and Evaluating the Opioid Overdose Knowledge Scale for Prescription Opioids: A Pilot Study of the Rx-OOKS.
Article in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Opioid Safety Toolkit: An interactive prescription opioid safety toolkit to increase opioid safety literacy and behaviours among people prescribed opioids for pain-a randomised controlled trial.Addiction (Abingdon, England) · 2026Trial
- Naloxone Co-Dispensing with Opioids: a Cluster Randomized Pragmatic Trial.Journal of general internal medicine · 2022Trial
- Assessing knowledge, attitudes, and barriers to opioid overdose among college students.BMC public health · 2026Article
- Effectiveness of direct patient outreach with a narrative naloxone and overdose prevention video to patients prescribed long-term opioid therapy in the USA: the Naloxone Navigator randomised clinical trial.BMJ public health · 2024Article
- Virtual opioid poisoning education and naloxone distribution programs: A scoping review.PLOS digital health · 2024Article
- Reducing the stigma surrounding opioid use disorder: evaluating an opioid overdose prevention training program applied to a diverse population.Harm reduction journal · 2022Article
- A measurement invariance analysis of selected Opioid Overdose Knowledge Scale (OOKS) items among bystanders and first responders.PloS one · 2022Article
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6 authors.
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Abstract
objectiveTo develop a validated instrument that measures knowledge about prescription opioid overdose.
methodsWithin an integrated health care system, we adapted, piloted, and tested the reliability and predictive validity of a modified Opioid Overdose Knowledge Scale (OOKS) instrument specific to prescription opioids (Rx-OOKS) with a patient population prescribed long-term opioid therapy and potentially at risk of opioid overdose. We used an interdisciplinary team approach and patient interviews to adapt the instrument. We then piloted the survey on a patient sample and assessed it using Cronbach's alpha and logistic regression.
resultsRx-OOKS (N = 56) resulted in a three-construct, 25-item instrument. Internal consistency was acceptable for the following constructs: "signs of an overdose" (10 items) at α = 0.851, "action to take with opioid overdose" (seven items) at α = 0.692, and "naloxone use knowledge" (eight items) at α = 0.729. One construct, "risks of an overdose" (three items), had an α of 0.365 and was subsequently eliminated from analysis due to poor performance. We conducted logistic regression to determine if any of the constructs was strongly associated with future naloxone receipt. Higher scores on "actions to take in an overdose" had nine times the odds of receiving naloxone (odds ratio [OR] = 9.00, 95% confidence interval [CI] = 1.42-57.12); higher "naloxone use knowledge" scores were 15.8 times more likely to receive naloxone than those with lower scores (OR = 15.83, 95% CI = 1.68-149.17).
conclusionsThe Rx-OOKS survey instrument can reliably measure knowledge about prescription opioid overdose recognition and naloxone use. Further, knowledge about actions to take during an opioid overdose and naloxone use were associated with future receipt of naloxone.
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