As technology develops, technology also has an impact on every aspect of life, including the psychology of every human being. The imbalance created by excessive social media use is of great concern to parents, researchers, and society regarding the mental health of individuals experiencing anxiety. Social media is ubiquitous among teens, who are also at high risk for anxiety disorders. This research aims to conclude that social media has an effect on anxiety disorders. This research uses a systematic review and meta-analysis using PICO. Population: teenagers. Intervention: social media. Comparison: not social media. Outcome: anxiety. The articles used in this research come from 1 database, namely Google Scholar. The keywords of the article are “teenager” AND “social media” AND “anxiety” AND “multivariate”. The articles included in this research are full paper articles, cross-sectional study design, publication year range 2017-2024 and the magnitude of the Adjusted Odds Ratio relationship. Articles were analyzed using the Review Manager 5.4 application. Five cross-sectional studies showed that social media can increase the risk of anxiety disorders by 1 times greater than not using social media, and the results were statistically (aOR=1.00; 95% CI= 0.63 to 1.57; p= 0.01). Teenagers who use social media increase anxiety disorders.

Health services are undergoing changes in terms of digitalization. Electronic Medical Record (EMR) is one form of change in the impact of digitalization in the health service sector. It is hoped that the existence of EMR in the health services sector can improve the performance of health workers in providing services to patients so that it can improve the level of public health. However, with EMR there are still problems in its use. Many health service institutions apply several methods to adapt to changes or novelties in the field of EMR, one of which is by providing training on the use of EMR to health workers. This research aims to determine the effectiveness of EMR training on the readiness of health workers in using EMR in health services. This research uses meta analysis and systematic review methods with the PICO model (P = EMR users, I = EMR training, C = Non EMR training, O = readiness to use EMR). Articles were obtained through searching articles in the PubMed database. The articles used are full-text articles from 2019 to 2024. Articles were selected using the PRISMA flow diagram. Articles were analyzed using the RevMan 5.3 application. A total of 5 articles analyzed came from Ethiopia. The study results show that EMR training can increase the readiness of health workers to use EMR to support health services (aOR = 1.87; CI 95% = 0.92 – 3.79; p = 0.08). Health workers who receive EMR training will be 1.87 times better prepared to use EMR in health services than health workers who do not receive previous EMR training.