What works in medication reconciliation: an on-treatment and site analysis of the MARQUIS2 study

Jeffrey L. Schnipper, Harry Reyes Nieva, Catherine Yoon, Meghan Mallouk, Amanda S. Mixon, Stephanie Rennke, Eugene S. Chu, Stephanie K. Mueller, G. Randy Smith, Mark V. Williams, Tosha B. Wetterneck, Jason Stein, Anuj K. Dalal, Stephanie Labonville, Anirudh Sridharan, Deonni P. Stolldorf, Endel John Orav, Marcus Gresham, Jenna Goldstein, Sara PlattChristopher Tugbéh Nyenpan, Eric Howell, Sunil Kripalani, Sanchita Sen, Samer Badr, Michelle Murphy, Corrie Vasilopoulos, Tara Vlasimsky, Christine Roussel, Olugbenga Arole, Loredana Diana Berescu, Arif Arifuddowla, Hattie Main, Susan Pickle, Cristy Singleton, Brenda Asplund, Andrea Delrue, Andrea Forgione, Colleen Shipman, Luigi Brunetti, Hina Ahmed, Adrian Gonzales, Mithu Molla, Sarah Bojerek, Andrea Nguyen, Robert El-Kareh, Kyle Koenig, Loutfi Succari, Scott Kincaid, Pamela Proctor, Robert Pendleton, Amy Baughman, Kimberly Boothe, Katarzyna Szablowski, Olukemi Akande, Eric Tichy, Chi Zheng, Ryan Centafont, Regina Jahrstorfer, Lisa Jaser, Isha John, Margaret Curtin, Jenna Swindler, Joe Marcus, Robert Osten, Tian Yaw, Zainulabdeen Al-Jammali, Nancy Doherty, Brandi Hamilton, Magdee Hugais, Samson Lee, Paul Sabatini, Eddie Eabisa, Jennifer Mello, Julianna Burton, Edward Fink, Anthony Biondo, Trina Huynh, Ken Kormorny, Adonice Khoury, Kathryn Ruf, Dwayne Pierce, Chadrick Lowther, Karli Edholm, Shantel Mullin, Nicole Murphy, Jeni Norstrom, Laura Driscoll, Maribeth Cabie, Andrew Cadorette, Sara John, Amy D'Silva, Lionel Picot-Vierra

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Background The second Multicenter Medication Reconciliation Quality Improvement Study demonstrated a marked reduction in medication discrepancies per patient. The aim of the current analysis was to determine the association of patient exposure to each system-level intervention and receipt of each patient-level intervention on these results. Methods This study was conducted at 17 North American Hospitals, the study period was 18 months per site, and sites typically adopted interventions after 2-5 months of preintervention data collection. We conducted an on-treatment analysis (ie, an evaluation of outcomes based on patient exposure) of system-level interventions, both at the category level and at the individual component level, based on monthly surveys of implementation site leads at each site (response rate 65%). We then conducted a similar analysis of patient-level interventions, as determined by study pharmacist review of documented activities in the medical record. We analysed the association of each intervention on the adjusted number of medication discrepancies per patient in admission and discharge orders, based on a random sample of up to 22 patients per month per site, using mixed-effects Poisson regression with hospital site as a random effect. We then used a generalised linear mixed-effects model (GLMM) decision tree to determine which patient-level interventions explained the most variance in discrepancy rates. Results Among 4947 patients, patient exposure to seven of the eight system-level component categories was associated with modest but significant reductions in discrepancy rates (adjusted rate ratios (ARR) 0.75-0.97), as were 15 of the 17 individual system-level intervention components, including hiring, reallocating and training personnel to take a best possible medication history (BPMH) and training personnel to perform discharge medication reconciliation and patient counselling. Receipt of five of seven patient-level interventions was independently associated with large reductions in discrepancy rates, including receipt of a BPMH in the emergency department (ED) by a trained clinician (ARR 0.40, 95% CI 0.37 to 0.43), admission medication reconciliation by a trained clinician (ARR 0.57, 95% CI 0.50 to 0.64) and discharge medication reconciliation by a trained clinician (ARR 0.64, 95% CI 0.57 to 0.73). In GLMM decision tree analyses, patients who received both a BPMH in the ED and discharge medication reconciliation by a trained clinician experienced the lowest discrepancy rates (0.08 per medication per patient). Conclusion and relevance Patient-level interventions most associated with reductions in discrepancies were receipt of a BPMH of admitted patients in the ED and admission and discharge medication reconciliation by a trained clinician. System-level interventions were associated with modest reduction in discrepancies for the average patient but are likely important to support patient-level interventions and may reach more patients. These findings can be used to help hospitals and health systems prioritise interventions to improve medication safety during care transitions.

Original languageEnglish
Pages (from-to)457-469
Number of pages13
JournalBMJ Quality and Safety
Issue number8
StatePublished - Aug 1 2023


  • medication reconciliation
  • medication safety
  • pharmacists
  • quality improvement


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