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Background: In the midst of the North American opioid crisis, identifying and intervening on drivers of high-risk opioid prescriptions is an important step towards reducing iatrogenic harm., Objectives: We aimed to identify factors associated with variations in high-risk opioid discharge prescriptions, following select surgical procedures, to guide future quality improvement initiatives., Methods: This retrospective cohort study analyzed 1322 patients who underwent select open pelvic and open abdominal surgeries between January 1 and December 31, 2017, in a tertiary health care centre in Montreal., Results: Patients who underwent open abdominal surgeries were prescribed significantly higher daily doses of morphine milligram equivalents (MME) (45 mg; interquartile range, 30-60), than patients who underwent either a caesarean delivery (20 mg, 20-20) or a hysterectomy (30 mg, 22-30). After adjustment for multiple potential confounders, abdominal surgery was associated with 4 times the odds of receiving more than 50 MME at hospital discharge compared with pelvic surgeries (odds ratio, 3.96; 95% confidence interval, 1.31-11.97). The availability of postoperative preprinted order sets with fixed high doses of opioids was also highly associated with the outcome., Conclusion: In our institution, some surgeries were more likely to receive high-risk opioid prescriptions at discharge. Efforts to optimize safer prescribing practices should address the creation and/or updating of preprinted order sets to reflect current best practice guidelines. This initiative could be overseen by hospital pharmacy and therapeutics committees., Competing Interests: Declaration of Conflicting Interests: The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article., (© The Author(s) 2022.)

Objective: To outline the development of a software solution to improve medication management after hospital discharge, including its design, data sources, intrinsic features, and to evaluate the usability and the perception of use by end-users., Materials and Methods: Patients were directly involved in the development using a User Center Design (UCD) approach. We conducted usability interviews prior to hospital discharge, before a user started using the application. A technology acceptance questionnaire was administered to evaluate user self-perception after 2 weeks of use., Results: The following features were developed; pill identification, patient-friendly drug information leaflet, side effect checker, and interaction checker, adherence monitoring and alerts, weekly medication schedule, daily pill reminders, messaging service, and patient medication reviews. The usability interviews show a 98.3% total success rate for all features, severity (on a scale of 1-4) 1.4 (SD 0.79). Regarding the self-perception of use (1-7 agreement scale) the 3 highest-rated domains were: (1) perceived ease of use 5.65 (SD 2.02), (2) output quality 5.44 (SD 1.65), and (3) perceived usefulness 5.29 (SD 2.11)., Discussion: Many medication management apps solutions have been created and most of them have not been properly evaluated. SAM (Smart About Medications) includes the user perspective, integration between a province drug database and the pharmacist workflow in real time. Its features are not limited to maintaining a medication list through manual entry., Conclusion: We can conclude after evaluation that the application is usable and has been self-perceived as easy to use by end-users. Future studies are required to assess the health benefits associated with its use., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Over 3 million hospitalizations and 17 million ER visits occur in Canada each year. A substantial proportion of these encounters are preventable and attributable to medication non- adherence. Non-adherence to medication changes during discharge increases the risk of adverse events post-discharge. A mobile application was developed to improve medication management of post-discharge patients. A pilot randomized controlled trial was conducted to assess the application's usability and efficacy in decreasing non-adherence to medication changes made at discharge.