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Multicenter Study
. 2022 Apr;31(4):278-286.
doi: 10.1136/bmjqs-2020-012709. Epub 2021 Apr 29.

Effects of a refined evidence-based toolkit and mentored implementation on medication reconciliation at 18 hospitals: results of the MARQUIS2 study

Collaborators, Affiliations
Multicenter Study

Effects of a refined evidence-based toolkit and mentored implementation on medication reconciliation at 18 hospitals: results of the MARQUIS2 study

Jeffrey L Schnipper et al. BMJ Qual Saf. 2022 Apr.

Abstract

Background: The first Multicenter Medication Reconciliation Quality Improvement (QI) Study (MARQUIS1) demonstrated that mentored implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals, but results varied by site. The objective of this study was to determine the effects of a refined toolkit on a larger group of hospitals.

Methods: We conducted a pragmatic quality improvement study (MARQUIS2) at 18 North American hospitals or hospital systems from 2016 to 2018. Incorporating lessons learnt from MARQUIS1, we implemented a refined toolkit, offering 17 system-level and 6 patient-level interventions. One of eight physician mentors coached each site via monthly calls and performed one to two site visits. The primary outcome was number of unintentional medication discrepancies in admission or discharge orders per patient. Time series analysis used multivariable Poisson regression.

Results: A total of 4947 patients were sampled, including 1229 patients preimplementation and 3718 patients postimplementation. Both the number of system-level interventions adopted per site and the proportion of patients receiving patient-level interventions increased over time. During the intervention, patients experienced a steady decline in their medication discrepancy rate from 2.85 discrepancies per patient to 0.98 discrepancies per patient. An interrupted time series analysis of the 17 sites with sufficient data for analysis showed the intervention was associated with a 5% relative decrease in discrepancies per month over baseline temporal trends (adjusted incidence rate ratio: 0.95, 95% CI 0.93 to 0.97, p<0.001). Receipt of patient-level interventions was associated with decreased discrepancy rates, and these associations increased over time as sites adopted more system-level interventions.

Conclusion: A multicentre medication reconciliation QI initiative using mentored implementation of a refined best practices toolkit, including patient-level and system-level interventions, was associated with a substantial decrease in unintentional medication discrepancies over time. Future efforts should focus on sustainability and spread.

Keywords: healthcare quality improvement; medication reconciliation; patient safety; pharmacists; transitions in care.

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Conflict of interest statement

Competing interests: JLS has received funding from Mallinckrodt Pharmaceuticals for an investigated-initiated study of opioid-related adverse drug events. JLS and AM received remuneration from American Society of Health-System Pharmacists (ASHP) to develop their best possible medication history training curriculum.

Figures

Figure 1
Figure 1
Statistical process control chart demonstrating special cause variation in total unintentional medication discrepancies per patient over time. The dotted line represents the baseline mean, and the solid red lines represent the statistical process control limits (3 SDs from the mean).
Figure 2
Figure 2
(A) Mean cumulative number of system-level interventions implemented per site by month. (B) Proportion of patients who received patient-level interventions per month.

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