Factors related to self-care in Korean patients with tuberculosis: A systematic review and meta-analysis.

BACKGROUND: Tuberculosis (TB) remains a major public health challenge in South Korea which has one of the highest TB incidence rates among the Organisation for Economic Co-operation and Development (OECD) countries. Effective self-care, including medication adherence and regular hospital visits, is crucial for successful TB treatment and the prevention of drug resistance. TB self-care in South Korea is influenced by cultural, social, and systemic factors. This study aimed to systematically review and conduct a meta-analysis of factors influencing self-care among Korean patients with TB, providing evidence-based insights for developing effective self-care promotion programs. METHODS: A systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, focusing on quantitative studies published since 2000 involving Korean patients with TB. Twenty studies were included in the final analysis, and 44 factors related to self-care were categorized into sociodemographic, TB-related, psychological, environmental, and educational characteristics. Effect sizes were calculated using Comprehensive Meta-Analysis (CMA) 4.0, with the assessment of heterogeneity and publication bias. RESULTS: The meta-analysis ranked the effect sizes of the different characteristic categories as follows: environmental > educational > psychological. Among the individual factors, social support had the greatest influence on self-care, followed by quality of life, self-efficacy, nonfamily support, family support, and perceived health benefits. These findings underscore the critical role of sustained social support from the community, medical staff, and family in enhancing self-care among TB patients. CONCLUSION: Effective self-care strategies for patients with TB should focus on interventions that strengthen the environmental, educational, and psychological aspects. These findings suggest that similar approaches can be applied in other countries facing comparable healthcare challenges. This study acknowledges limitations including potential publication bias and the exclusion of older studies and non-Korean patient studies, highlighting the need for further research across diverse settings and populations.

Comparison of the problem-solving performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Korean emergency medicine board examination question bank.

Large language models (LLMs) have been deployed in diverse fields, and the potential for their application in medicine has been explored through numerous studies. This study aimed to evaluate and compare the performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Emergency Medicine Board Examination question bank in the Korean language. Of the 2353 questions in the question bank, 150 questions were randomly selected, and 27 containing figures were excluded. Questions that required abilities such as analysis, creative thinking, evaluation, and synthesis were classified as higher-order questions, and those that required only recall, memory, and factual information in response were classified as lower-order questions. The answers and explanations obtained by inputting the 123 questions into the LLMs were analyzed and compared. ChatGPT-4 (75.6%) and Bing Chat (70.7%) showed higher correct response rates than ChatGPT-3.5 (56.9%) and Bard (51.2%). ChatGPT-4 showed the highest correct response rate for the higher-order questions at 76.5%, and Bard and Bing Chat showed the highest rate for the lower-order questions at 71.4%. The appropriateness of the explanation for the answer was significantly higher for ChatGPT-4 and Bing Chat than for ChatGPT-3.5 and Bard (75.6%, 68.3%, 52.8%, and 50.4%, respectively). ChatGPT-4 and Bing Chat outperformed ChatGPT-3.5 and Bard in answering a random selection of Emergency Medicine Board Examination questions in the Korean language.