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All Journal SEHAT
Feri Catur Yuliani
Universitas Safin Pati, Central Java, Indonesia
Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health

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The Impact of Media Social on Mental Health Puti Amalia; Feri Catur Yuliani
Medical Studies and Health Journal (SEHAT) Vol. 1 No. 2 (2024): Medical Studies and Health Journal (SEHAT)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/gze4xr89

Abstract

Excessive social media use has been linked to increased anxiety, depression, and stress in teens. This study aims to examine the influence of the intensity of social media use on levels of anxiety and depression in adolescents. The research method used was a systematic literature review using PRISMA guidelines, which involved in-depth analysis of articles obtained from reputable international databases. The research results show that intense use of social media, especially image-based platforms such as Instagram, contributes significantly to increased anxiety and depression in adolescents. The implications of this research indicate the importance of developing effective and evidence-based mental health interventions to reduce the negative impact of social media on the mental well-being of adolescents.
PATIENT CENTERED CARE MODELS: A SYSTEMATIC REVIEW OF IMPLEMENTATION AND IMPACT ON HEALTH OUTCOMES Ummi Rahmah; Feri Catur Yuliani
Medical Studies and Health Journal (SEHAT) Vol. 1 No. 3 (2024): Medical Studies and Health Journal (SEHAT) - Mei - September (On Progress)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/9bxcxy97

Abstract

This research aims to explore the impact of implementing the model patient-centered care (PCC) on patient satisfaction and involvement in health services. By using the approach systematic literature review, this study analyzes studies measuring the effects of PCC in various care settings. The results showed that implementing PCC significantly increased patient satisfaction and engagement, despite challenges in implementation, such as lack of resources and cultural barriers. The implications of this research provide insight for health care policy and practice to improve service quality through the implementation of a more inclusive and patient-based PCC model.
AI DRIVEN NURSING CARE: EXPLORING THE READINESS AND ACCEPTANCE OF ARTIFICIAL INTELLIGENCE IN CLINICAL NURSING PRACTICE Prima Auditia; Feri Catur Yuliani
Medical Studies and Health Journal (SEHAT) Vol. 2 No. 1 (2025): Medical Studies and Health Journal (SEHAT)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/cp2jmd51

Abstract

The integration of artificial intelligence (AI) into nursing practice has become an important topic, but nurses’ perceptions of the usefulness and ease of use of this technology remain poorly understood. This study aims to explore how nurses perceive AI in clinical decision-making, as well as the factors that influence their acceptance.This study aims to analyze nurses' perceptions regarding the usefulness and ease of use of AI-based tools in a clinical context, as well as to identify challenges faced in the adoption of this technology.This study uses a systematic literature review (SLR) approach by collecting and analyzing data from peer-reviewed articles published between 2013 and 2024. The selection process follows the PRISMA guidelines, and data analysis is carried out using the thematic synthesis method.Findings indicate that although nurses have positive perceptions of the usefulness of AI in improving accuracy and efficiency, challenges related to ease of use, such as complex interface design and lack of training, hinder the adoption of this technology.This study provides important insights for technology developers and healthcare institutions to design more user-friendly AI systems, and emphasizes the need for better training to increase nurses' acceptance of this technology.
Co-Authors Prima Auditia Puti Amalia Ummi Rahmah