Affiliations 

  • 1 Pharmacy Department, Queen Elizabeth Hospital, Locked bag: 2029, 88586, Kota Kinabalu, Sabah, Malaysia
  • 2 Clinical Research Centre, Queen Elizabeth Hospital, Locked bag: 2029, 88586, Kota Kinabalu, Sabah, Malaysia
Int J Pharm Pract, 2024 Feb 15;32(1):83-90.
PMID: 38289996 DOI: 10.1093/ijpp/riad083

Abstract

OBJECTIVES: This study aimed to evaluate the effectiveness of workflow redesign (eaST system) on pharmacy waiting time and near-missed events. We also investigated other factors that may potentially affect these study outcomes.

METHODS: A quasi-experimental (before-after) study design was adopted. Pre-intervention data were collected over 7 months (January-July 2017). Subsequently, the workflow redesign (eaST system) was implemented and the effect of the intervention (August 2017-February 2018) was evaluated. Univariate analysis was used to compare the differences between pre-intervention and post-intervention of pharmacy waiting time and near-missed events. Significant factors affecting study outcomes were analysed using linear regression analysis.

KEY FINDINGS: A total of 210,530 prescriptions were analysed. The eaST system significantly increases the percentage of prescriptions dispensed within 30 min per day (median = 68 (interquartile range (IQR) = 41) vs. median = 93 (IQR = 33), P < 0.001) and reduced the mean percentage of near-missed events (mean = 50.71 (standard deviation (SD) = 23.95) vs. mean = 27.87 (SD = 12.23), P < 0.001). However, the eaST system's effects on related outcomes were conditional on a three-way interaction effect. The eaST system's effects on pharmacy waiting time were influenced by the number of prescriptions received and the number of PhIS server disruptions. Conversely, the eaST system's effects on near-missed events were influenced by the number of pharmacy personnel and number of controlled medications.

CONCLUSIONS: Overall, the eaST system improved the pharmacy waiting time and reduced near-missed events.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.