This study identified the effects of an integrated diabetes self-management program using smartphone application (app), based on the Information-Motivation-Behavioral skills (IMB) model. A randomized comparison, using a pre-and post-test design, was conducted with 32 participants in the experimental group and 36 in the control group. The integrated diabetes self-management program consisted of face-to-face educational sessions, a diabetes self-management smartphone app, and phone counseling. In the experimental group, diabetes self-management knowledge (Z=-2.70, p=.007), social motivation (Z=-1.97, p=.048), and behavior (t=3.22, p=.002) improved, with their hemoglobin A1c (Z=-4.83, p<.001) decreasing compared to the control group. At the post-test, the experimental group’s fasting blood sugar level (t=2.79, p=.009), total calorie intake (t=3.94, p=.001), carbohydrate intake (t=5.69, p<.001), and fat intake (t=2.54, p=.021) decreased compared to the pre-test. An integrated diabetes self-management program using smartphone app, based on the IMB model, should be utilized as a nursing intervention.

Background Organ transplantation is the most effective treatment for patients with end-stage organ failure. It has been actively carried out all over the world. Recently, eHealth interventions have been applied to organ transplant patients. This systematic review and meta-analysis aimed to evaluate the effects of eHealth interventions for improving medication adherence in organ transplant patients as compared to usual or conventional care alone. Methods We searched MEDLINE via PubMed, Excerpta Media dataBASE (EMBASE), the Cochrane Register Controlled Trials, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, and six domestic Korean databases to identify randomized controlled trials (RCTs) published up to April 17, 2020. Two reviewers independently selected relevant studies and extracted data. The quality and bias of the identified studies were assessed. To estimate the effect size, a meta-analysis of the studies was performed using the Cochrane Collaboration software Review Manager 5.3. PRISMA guidelines were followed. When statistical heterogeneity was greater than 80%, narrative synthesis was performed. Results Of the 1,847 articles identified, seven RCTs with a total of 759 participants met the inclusion criteria. The risk of bias assessment showed that the blinding of participants and personnel was high. In six studies, medication adherence (effect size = -0.18–1.30) and knowledge scores were not significantly different between those receiving eHealth interventions and the controls. Conclusions Our findings suggest that eHealth interventions were similar to standard care or advanced care for improving medication adherence, and they faired equally well for improving medication knowledge. Therefore, eHealth interventions can be used for medication adherence of organ transplant patients. More research is needed to provide well-designed eHealth intervention to improve the medication adherence and knowledge of organ transplant patients. Protocol registration number CRD42017067145 16/05/2017

We developed and tested the effectiveness of an algorithm to prevent medical device–related pressure injuries in intensive care unit patients. It was developed in four stages: literature review and analysis of medical records; preliminary algorithm development; validation of the preliminary algorithm by experts in two rounds; and practical feasibility verification of the revised algorithm by 109 intensive care unit nurses. To verify the algorithm’s effectiveness, we compared the incidence of medical device–related pressure injuries between 324 patients without algorithm application (control group) and 312 patients with algorithm application (experimental group). The outcomes were skin inspection of the medical device attachment, pressure injury evaluation, and implementation of pressure injury-preventive nursing care, based on the medical device type. The incidence rates were 1.46 per 100 devices (control group) and 1.19 per 100 devices (experimental group). Since there was no homogeneity in the previous score of the Braden scale in the experimental and control groups, the results regarding the incidence of pressure damage after applying the algorithm should be interpreted with care. Applying this algorithm was a safe intervention that helped prevent medical device–related pressure injuries in this population.

The purpose of this study was to identify factors influencing decreasing depressive mood of married women with depression. Methods: Data that integrate the Korean longitudinal survey of women and families in 2014 and 2016 were used. Subjects for this study were 974 people who participated in the fifth survey in 2014 and the sixth survey in 2016, and married women were included in the depression group in the fifth survey. The data was analyzed with x 2 test, t-test, and logistic multiple regression analysis using the SPSS 23.0 program. Results: The decreaseddepression group's depression decreased from 11.78 points in the fifth survey to 6.31 points in the sixth survey. This study showed that main factors such as age (OR=0.96, p=.002), educational level (OR=0.54, p=.007), economical status (OR=0.62, p=.037), satisfaction with marriage life (OR=1.15, p<.001), use of medical services (OR=1.65, p=.002), and physical activity (OR=1.08, p=.019) help decrease married women's depression. Conclusion: This study findings indicate a need to develop the strategies to increase satisfaction for marriage life and physical activity and to enhance health promotion to decrease depression among depressed married women.