| Gaeun Park | 4 Articles |
Purpose
This study aimed to identify the prevalence of chronic diabetic complications in patients with type 2 diabetes mellitus. Methods Data for adults aged over 30 years, who were diagnosed with type 2 diabetes mellitus and who had at least one claim for the prescription of antidiabetic medication were extracted from the National Health Insurance Service-National Health Screening Cohort in Korea from 2002 to 2015. Statistical analyses were performed using R version 3.5.1. Results In total, 1,407 patients with type 2 diabetes mellitus without complications were extracted from the database. Patients were observed for an average of 10.43 years. The prevalence of chronic diabetic complications was 84.7% and was significantly higher for patients who were older women, who lived in the capital, and had diabetes mellitus for a longer time. The prevalence of eye disease was the highest at 42.4%, and cerebrovascular disease was the lowest at 15.1%. Cardiovascular disease, peripheral vascular disease, neuropathy, and foot ulcers often occurred between two and four years, and eye disease and nephropathy often occurred over eight years after the diagnosis of diabetes. Prior to the occurrence of nephropathy, microvascular complications such as neuropathy, peripheral vascular disease, and eye disease occurred. Conclusion These findings provide compelling evidence of the prevalence of chronic diabetic complications based on a national database. Since a high incidence of diabetic complications occurs within a short period of time after the diagnosis of diabetes, aggressive interventions are required to prevent diabetic complications in the early stages after diagnosis. Citations Citations to this article as recorded by
Purpose
Patients with heart failure report low levels of physical activity and quality of life, both of which are important predictors of patient prognosis. This study aimed to investigate the effects of nurse-led motivational interviewing on self-efficacy for exercise, engagement in regular exercise, exercise capacity, and quality of life among patients with heart failure. Methods A randomized controlled trial design was used, and 66 Korean participants (i.e., 38 in a control group and 28 in an intervention group) aged 40~80 years who were diagnosed with heart failure were recruited between May 2012 and September 2013. The intervention group received telephone-based motivational interviews twice a week for one month. All participants were assessed for exercise regularity, levels of exercise, exercise capacity, and quality of life at baseline, one month, and three months. The data were analyzed using independent t-tests, repeated measures ANOVA, and nonparametric tests. Results At one month, there were significant group differences in exercise regularity (x2 =6.10, p=.013) and levels of exercise (Z=-2.56, p=.024). There was a significant group-by-time effect on the quality of life (F=3.76, p=.044). Conclusion Nurse-led motivational interviewing was effective in increasing exercise levels and quality of life in patients with heart failure. In the future, we propose a study with a larger number of participants and a long-term follow-up study with additional contact to maintain the intervention effect. Citations Citations to this article as recorded by
Purpose
This study aimed to identify the components of artificial intelligence-based healthcare interventions and determine their effects on health behaviors and physiological, psychological, and cost-effectiveness outcomes among adults. Methods Nine core electronic databases were searched for articles published between January, 2009 and May, 2021 using terms related to artificial intelligence, healthcare, and randomized controlled trials. Qualitative synthesis was then performed. Results Of the 1,194 retrieved articles, 20 were selected for analysis. Many of the studies targeted adults who wanted to change their health behaviors, patients with diabetes, and those aged 20~50 years. The characteristics of the artificial intelligence-based healthcare interventions were analyzed in terms of the following components: external data, artificial intelligence technology, problem solving, and goals. Many interventions offered personalized suggestions by learning participant behavior patterns using machine learning technology and diet and physical activity data. The majority of interventions targeted health behaviors and physiological outcomes. These artificial intelligence-based healthcare interventions were effective in decreasing hospital visits and improving psychological outcomes and health behaviors. Conclusion Artificial intelligence-based healthcare interventions can be an important part of decreasing hospital visits and improving psychological outcomes and health behaviors among adults. The results suggest that there is a need to develop and apply appropriate artificial intelligence algorithms for patients with chronic diseases that require continuous management in Korea. Citations Citations to this article as recorded by
Purpose
This study investigates the effects of oral care interventions on oral health and oral health-related quality of life in denture-wearing older adults. Methods: A nonequivalent control group pretest-posttest design was utilized. There were 26 participants in the experimental group and 30 in the control group. Participants were aged 65 or older, residing at long-term care facilities for more than six months, using dentures, able to brush their teeth, follow gymnastics without jaw joint problems, and cooperate in the measurement of bad breath. The oral care interventions consisted of brushing teeth, denture management, and mouth gymnastics and was performed three times/week, for 20 minutes/session, for a total of 4 weeks. The x 2 test, Fisher's exact test, repeated measures ANOVA, and independent t-test using SPSS/WIN 22.0 program were analyzed. Results: The performance of brushing teeth (F=27.66, p<.001), denture management (F=38.23, p<.001), and mouth gymnastics (F=5.12, p=.016) significantly increased with time up to the fourth week. After the interventions, significant differences were found between groups in subjective oral health status (t=5.87, p<.001), dry mouth (t=-9.24, p<.001), bad breath (t=-3.37, p<.001), and oral health-related quality of life (t=-6.46, p<.001). Conclusion: The oral care interventions, including a self-administered oral care checklist, can improve the motivation for oral care performance, oral health behaviors, oral health status, and oral health-related quality of life among older adults. Broader application of the intervention is warranted. Citations Citations to this article as recorded by
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