Effects of Self-Education on Patient Safety via Smartphone Application for Self-Efficacy and Safety Behaviors of Inpatients in Korea.

OBJECTIVES: This study aimed to determine whether self-educational intervention on patient safety via a smartphone application could improve the level of self-efficacy and safety behaviors of patients. In addition the effect of change in self-efficacy on the improvement of safety behaviors after self-educational intervention was investigated. METHODS: A one-group pre- and post-test design and convenience sampling were implemented. Self-educational intervention via smartphone application was provided to 94 participants in a tertiary university hospital in South Korea. The smartphone application included learning contents on why the participation of patients is critical in preventing hospital-acquired infections and surgery-related adverse events during hospitalization. Paired t-tests and hierarchical regression analysis were conducted to assess the effect of selfeducational intervention and self-efficacy on the improvement of safety behaviors of patients. RESULTS: After the intervention, the level of self-efficacy and safety behaviors significantly increased from 2.53 to 2.95 and from 2.00 to 2.62, respectively. In the hierarchical regression analysis, the change in self-efficacy accounted for 35.4% of the variance in the improvement of safety behaviors. CONCLUSIONS: The results of this study demonstrated that self-education on patient safety via a smartphone application was an effective strategy to enhance patients' self-efficacy and safety behaviors. This process could ultimately enhance patient safety by promoting patient involvement during hospitalization and preventing the occurrence of medical errors.

Effects of the Smartphone Application "Safe Patients" on Knowledge of Patient Safety Issues Among Surgical Patients.

Recently, the patient's role in preventing adverse events has been emphasized. Patients who are more knowledgeable about safety issues are more likely to engage in safety initiatives. Therefore, nurses need to develop techniques and tools that increase patients' knowledge in preventing adverse events. For this reason, an educational smartphone application for patient safety called "Safe Patients" was developed through an iterative process involving a literature review, expert consultations, and pilot testing of the application. To determine the effect of "Safe Patients," it was implemented for patients in surgical units in a tertiary hospital in South Korea. The change in patients' knowledge about patient safety was measured using seven true/false questions developed in this study. A one-group pretest and posttest design was used, and a total of 123 of 190 possible participants were tested. The percentage of correct answers significantly increased from 64.5% to 75.8% (P < .001) after implementation of the "Safe Patients" application. This study demonstrated that the application "Safe Patients" could effectively improve patients' knowledge of safety issues. This will ultimately empower patients to engage in safe practices and prevent adverse events related to surgery.

Development of a brief instrument to measure smartphone addiction among nursing students.

Interruptions and distractions due to smartphone use in healthcare settings pose potential risks to patient safety. Therefore, it is important to assess smartphone use at work, to encourage nursing students to review their relevant behaviors, and to recognize these potential risks. This study's aim was to develop a scale to measure smartphone addiction and test its validity and reliability. We investigated nursing students' experiences of distractions caused by smartphones in the clinical setting and their opinions about smartphone use policies. Smartphone addiction and the need for a scale to measure it were identified through a literature review and in-depth interviews with nursing students. This scale showed reliability and validity with exploratory and confirmatory factor analysis. In testing the discriminant and convergent validity of the selected (18) items with four factors, the smartphone addiction model explained approximately 91% (goodness-of-fit index = 0.909) of the variance in the data. Pearson correlation coefficients among addiction level, distractions in the clinical setting, and attitude toward policies on smartphone use were calculated. Addiction level and attitude toward policies of smartphone use were negatively correlated. This study suggests that healthcare organizations in Korea should create practical guidelines and policies for the appropriate use of smartphones in clinical practice.