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All Journal Jurnal Kesehatan Terpadu (Integrated Health Journal) Indonesian Journal of Global Health research FUNDAMENTAL AND MANAGEMENT NURSING JOURNAL
Tsanifiandi, Fauzi
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Decision Sciences, Operations Research & Management Education Health Professions Languange, Linguistic, Communication & Media Nursing Public Health

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Risk and Protective Factors of Self-Harm and Suicide in Adolescents in The Era of Society 5.0: A Systematic Review Astuti, Trihaningsih Puji; Hidayati, Nurul; Tsanifiandi, Fauzi; Tristiana, Rr Dian
Fundamental and Management Nursing Journal Vol. 7 No. 2 (2024): VOLUME 7 ISSUE 2 2024
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/fmnj.v7i2.55677

Abstract

Introduction: Suicide and self-harm have been ranked as the fourth leading causes of mortality among adolescent population. Preventive interventions are necessary due to the rising prevalence. The aimed of this study was to identify the risk and protective factors of self-harm and suicidal behavior among adolescents in the era of society 5.0. Methods: This study was a literature review. Published, English articled were retrieved from Scopus, Web of Science, PubMed, and CINAHL databases, limited to the last five years from 2018 to 2023. The specific keywords used to search for articles were ("Self-harm" OR "Self-injurious behavior" OR "Self-destructive behavior") AND suicid* AND (adolescent OR youth OR teenager). Results: Eleven (n=11) articles were synthesized and resulted based on thematic analysis of eleven articles, five risk factors and three protective factors for self-harm and suicidal behavior in adolescents were found. Five risk factors consist of family dysfunction, experience of being a victim of bullying, history of self-harm, maladaptive coping and having a history of mental disorders. Meanwhile, three protective factors for prevention are family support and attachment, school support and positive activities. Conclusions: The rapid influence of technology in the era of society 5.0 which was triggering self-harm and suicide behaviors can be suppressed with a strong support system in adolescents. Family, education, and peers play crucial roles in fostering adolescents' emotional well-being. Considering both risk and protective factors, Further examination to deeply understand adolescents engage in self-harm and suicide is warranty.
Pengaruh Dukungan Keluarga Terhadap QOL Pasien Skizofrenia: Systematic Review Tsanifiandi, Fauzi; Fitryasari, Rizki; Iskandar, Iskandar; Astuti, Trihaningsih Puji; Hidayati, Nurul
Jurnal Kesehatan Terpadu (Integrated Health Journal) Vol 15 No 2 (2024): Jurnal Kesehatan Terpadu (Integrated Health Journal)
Publisher : Poltekkes Kemenkes Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32695/jkt.v15i2.578

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ABSTRACT Introduction: Patients with schizophrenia experience symptoms that affect their quality of life such as working, socializing, and other daily activities. Families have the main task of caring for patients when they are sick. This systematic review aims to investigate QoL in schizophrenia patients who receive family support during the treatment process. Methods: Springer Link, Pubmed, Sage Journal, and Science Direct databases were used for literature search. The literature used was published within the last 5 years that examined family support on QoL of patients with schizophrenia. Articles were read and analyzed using the PRISMA procedure to guide this review. Results: The literature search yielded 375 research articles, 11 of which were included after multiple selections in the systematic review. Overall, patients with schizophrenia when supported by their families had significantly higher QoL. Family support influenced QoL on the constructs of social interaction, psychological status and functional ability in patients with schizophrenia. Conclusion: Further research is needed on the development of interventions that utilize family support through family empowerment in its implementation.application of this therapy. Future CBT programs can focus on developing the content of CBT by utilizing the internal and external factors of adolescents based on the findings of this study. Key words: family support, quality of life, schizophrenia
Diagnostic Accuracy of Artificial Intelligence-Based Systems for Detecting Diabetic Retinopathy: A Systematic Review Hidayati, Nurul; Widyawati, Ika Yuni; Suarilah, Ira; Astuti, Trihaningsih Puji; Tsanifiandi, Fauzi; Suraya, Andi Safutra
Indonesian Journal of Global Health Research Vol 7 No 1 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i1.4011

Abstract

Diabetic retinopathy (DR) represents a leading cause of blindness worldwide, early detection is critical to prevent vision loss. However, traditional screening methods, which rely on human experts, prove to be costly and time-consuming. The systematic review aims to assess the validity of artificial intelligence (AI) as a screening tool for detecting DR among diabetic patients. A systematic literature search was performed of the following databases: PubMed, Scopus, CINAHL, and Web of Science. The last date of our search was January 31, 2024. We included all observational studies, including cohort, case–control and cross-sectional studies and evaluated their quality using the Joanna Briggs Institute tool. We included diagnostic test accuracy studies evaluating the use of AI algorithms for DR screening in patients with diabetes. Studies were excluded if they exclusively assessed diagnostic accuracy for DR that did not use AI algorithms as a diagnostic tool and studies with incomplete or inaccessible data. Thirteen studies with sample sizes ranging from 69 to 1378 participants, reported good sensitivity of AI for detecting visually threatening DR (VTDR). The lowest sensitivity was 89.2%, and the highest was 100%. In terms of specificity, Any DR exhibited higher specificity compared to RDR and VTDR, ranging from 80.2% to 100%. The sensitivity and specificity of the Artificial Intelligence (AI)-based tools available for DR screening was considered acceptable, especially in detecting VTDR and Any DR, was regarded as good. These results implied the potential usefulness of these tools for DR screening in settings with limited resources. However, further high-quality comparative studies were deemed necessary to evaluate their effectiveness in real-world clinical settings.
Co-Authors Andi Safutra Suraya Astuti, Trihaningsih Puji Ika Yuni Widyawati Iskandar Iskandar Nurul Hidayati RR Dian Tristiana Suarilah, Ira