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What predicts pharmacists' engagement with opioid-outcome screening? Secondary analysis from an implementation study
Suzanne Nielsen1,2, Paul Sanfilippo3, Louisa Picco3
1Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia. Suzanne.nielsen@monash.edu.
Abstract:
Background Pharmacists have a key role to play in identifying and responding to emerging clinical problems with prescribed opioids. A pilot study in Australia examined the implementation of screening and brief intervention (Routine Opioid Outcome Monitoring [ROOM]) to identify and respond to opioid-related problems in community pharmacies. In this implementation study, the rate of screening varied considerably between pharmacies. Objective The aim of this study was to examine pharmacist characteristics associated with implementation of ROOM. Setting Community pharmacies in Victoria and New South Wales, Australia. Methods We implemented a validated computer-facilitated screening (ROOM), combined with brief intervention for opioid-related problems based on a widely accepted framework for monitoring outcomes. In this analysis, we examined the correlates of ROOM completion for individual pharmacists. Negative binomial regression was used to identify baseline predictors of greater screening, with the number of ROOM screens as the dependent (outcome) variable and pharmacist demographics, knowledge, confidence and comfort responding to prescription opioids problems, and attitudes towards evidence based practice examined as independent (predictor) variables. Main outcome measure Number of screens completed by an individual pharmacist as reported in follow-up surveys by pharmacist. Results Fewer years of practice was associated with a greater number of screenings conducted. On average, each additional decade of practice was associated with a 31% (95% CI 0%, 53%) reduction in the number of screenings undertaken by pharmacists. A multivariable analysis revealed that each additional decade practicing, lower knowledge of naloxone and lower confidence in identifying unmanaged pain were all independently associated with reduced engagement in screening after controlling for other variables. Conclusion Findings from this pilot study identified potential barriers to implementing opioid outcome monitoring. Further studies could test different groups of community pharmacists' experience of different barriers when implementing monitoring outcomes with prescribed opioids, to inform future implementation and clinical practice.
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