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.

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.

Objectives: Hyponatremia is prevalent electrolyte disorder and can be fatal in older adults. Evaluative studies on hyponatremia among older adults are scarce, especially targeting for those who visited emergency department (ED). We aimed to estimate the prevalence and to identify risk factors of hyponatremia among elderly patients visiting the ED. Methods: A retrospective chart review was completed including 65 or older patients who visited ED at Seoul National University Bundang Hospital from September to December 2019. Patients with the serum sodium concentration of less than 130mEq/L was defined as a hyponatremia group. Logistic regression analysis was conducted to assess predictive factors for hyponatremia. Results: Of the total 2,445 patients, 155 (6.3%) were confirmed to have hyponatremia at the time of ED visits. Risk factors for hyponatremia identified in logistic regression analysis were thiazides (aOR=2.64, 95% CI 1.66-4.21), opioids (exclude tramadol) (aOR=3.45, 95% CI 1. and desmopressin (aOR=6.98,. Compared to the use of thiazides alone, it was confirmed that the possibility of hyponatremia was more than quadrupled when proton pump inhibitor (PPI) was used together (aOR=4.08, 95% CI 1.74-9.55). Conclusions: About 6.3% of older adults visiting the ED had hyponatremia. Age, number of medications taken, previous history of hyponatremia, heart failure, cirrhosis, pneumonia, sepsis, prescribed drugs including thiazides, opioids (exclude tramadol), or desmopressin or taking PPI together with thiazides was confirmed to correlate with the risk of hyponatremia.

Objectives: Hyponatremia is prevalent electrolyte disorder and can be fatal in older adults. Evaluative studies on hyponatremia among older adults are scarce, especially targeting for those who visited emergency department (ED). We aimed to estimate the prevalence and to identify risk factors of hyponatremia among elderly patients visiting the ED. Methods: A retrospective chart review was completed including 65 or older patients who visited ED at Seoul National University Bundang Hospital from September to December 2019. Patients with the serum sodium concentration of less than 130mEq/L was defined as a hyponatremia group. Logistic regression analysis was conducted to assess predictive factors for hyponatremia. Results: Of the total 2,445 patients, 155 (6.3%) were confirmed to have hyponatremia at the time of ED visits. Risk factors for hyponatremia identified in logistic regression analysis were thiazides (aOR=2.64, 95% CI 1.66-4.21), opioids (exclude tramadol) (aOR=3.45, 95% CI 1. and desmopressin (aOR=6.98,. Compared to the use of thiazides alone, it was confirmed that the possibility of hyponatremia was more than quadrupled when proton pump inhibitor (PPI) was used together (aOR=4.08, 95% CI 1.74-9.55). Conclusions: About 6.3% of older adults visiting the ED had hyponatremia. Age, number of medications taken, previous history of hyponatremia, heart failure, cirrhosis, pneumonia, sepsis, prescribed drugs including thiazides, opioids (exclude tramadol), or desmopressin or taking PPI together with thiazides was confirmed to correlate with the risk of hyponatremia.