Evaluation of sustainability after quality improvement (QI) projects in healthcare settings is an essential part of monitoring and future QI planning. With limitations in adopting quasi-experimental study design in real-world practice, healthcare professionals find it challenging to present the sustained effect of QI changes effectively. To provide quantitative methodological approaches for demonstrating the sustainability of QI projects for healthcare professionals, we conducted data analyses based on a QI project to improve the computerized provider order entry system to reduce patients’ dosing frequencies in Korea. Data were collected for 5 years: 24-month pre-intervention, 12-month intervention, and 24-month post-intervention. Then, analytic approaches including control chart, Analysis of Variance (ANOVA), and segmented regression were performed. The control chart intuitively displayed how the outcomes changed over the entire period, and ANOVA was used to test whether the outcomes differed between groups. Last, segmented regression analysis was conducted to evaluate longitudinal effects of interventions over time. We found that the impact of QI projects in healthcare settings should be initiated following the Plan–Do–Study–Act cycle and evaluated long-term effects while widening the scope of QI evaluation with sustainability. This study can serve as a guide for healthcare professionals to use a number of statistical methodologies in their QI evaluations.

The multiplicity of dosing frequencies that are attached to medication orders poses a challenge to patients regarding adhering to their medication regimens and healthcare professionals in maximizing the efficiencies of health care service delivery. A multidisciplinary team project was performed to simplify medication regimens to improve the computerized physician order entry (CPOE) system to reduce the dosing frequencies for patients who were discharged from the hospital. A 36-month pre-test–post-test study was performed, including 12-month pre-intervention, 12-month intervention, and 12-month post-intervention periods. Two-pronged strategies, including regimen standardization and prioritization, were devised to evaluate the dosing frequencies and prescribing efficiency. The results showed that the standardized menu reduced the dosing frequencies from 4.3 ± 2.2 per day in the pre-intervention period to 3.5 ± 1.8 per day in the post-intervention period (p < 0.001). In addition, the proportion of patients taking medications five or more times per day decreased from 40.8% to 20.7% (p < 0.001). After prioritizing the CPOE dosing regimen, the number of pull-down options that were available reflected an improvement in the prescribing efficiency. Our findings indicate that concerted efforts in improving even a simple change on the CPOE screen via standardization and prioritization simplified the dosing frequencies for patients and improved the physicians’ prescribing process.

Background and Objectives: Despite the effort to prevent drug-related problems (DRPs) in healthcare settings, prescribing errors are common in the medication use process. In a Korean teaching hospital, pharmacists verify prescription orders during their routine order review process and document the details in a homegrown health information system (HIS). The objectives of this study were to identify the annual trends in pharmacy inquiries and to evaluate the prevalence of the inquiries by drug ingredients, including a description of the “pharmacy inquiry” screen in the HIS. Materials and Methods: A retrospective cross-sectional study was conducted to describe pharmacy inquiries related to preventing potential DRPs during order reviews and to evaluate the associated factors for discontinuation of prescription orders on medication among inquiries using data from January 2008 to December 2021. A descriptive analysis was performed using 128,188 inquiries, documented by 245 pharmacists for 14 years. Results: The frequency of inquiry steadily increased annually. The most frequent cause was “inappropriate dose or regimen” (49.1%) and “piperacillin and beta-lactamase inhibitor” was the most mentioned drug ingredient in the inquiries (3.4%). The overall acceptance rate of the pharmacists’ recommendation was 82.4%, and the cause of the highest acceptance was “inappropriate mix solution” (96.5%). Hospitalization and certain inquiry topics were significantly associated with discontinuation of prescription orders on inquired medications by clinicians. Conclusions: The findings indicate that pharmacy inquiries with integrated HIS could resolve inaccuracy during physicians’ order reviews and ensure safe patient care. As a tool for preventing prescribing errors, the pharmacy inquiry data can help maximize consistent improvement and optimize the medication use process in healthcare settings.