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All Journal IPTEK The Journal for Technology and Science Journal of Educational, Health and Community Psychology Jurnal Online Mahasiswa (JOM) Bidang Ilmu Ekonomi Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Jurnal NERS Safari : Jurnal Pengabdian Masyarakat Indonesia Jurnal Kesehatan Amanah Dinamika Pertanian
Sholihin Sholihin
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Economics, Econometrics & Finance Education Immunology & microbiology Languange, Linguistic, Communication & Media Nursing Public Health Other

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Journal : Jurnal NERS

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A Clinical Decision Support System as a Tool to Improve the Accuracy of Nursing Diagnoses Wikan Purwihantoro Sudarmaji; Sholihin Sholihin; Roby Aji Permana; Agustina Soares; Yanuar Aga Nugraha
Jurnal Ners Vol. 14 No. 3 (2019): Special Issue
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (17.145 KB) | DOI: 10.20473/jn.v14i3.17171

Abstract

Introduction: Nursing diagnosis is an important part of the nursing process and it influences the quality of nursing care. Accuracy in establishing nursing diagnoses is one of the factors that determines the accuracy of the nursing intervention program and the speed of healing of the patients. The Clinical Decision Support System is an information system built to assist health workers in making clinical decisions including the enforcement of nursing diagnoses. Through this systematic review, the author wants to explain the clinical decision support system as a tool to increase the accuracy of the enforcement of nursing diagnoses.Methods: The search for journals using the PICOT framework was conducted in the Scopus, Proquest, PubMed and Cinahl databases with a 10-year publication time limit (2008 - 2018). There were 8 international journals reviewed in full.Results: Generally the journals reviewed stated that the use of the Clinical Decision Support System in establishing nursing diagnoses has been shown to improve the accuracy of nursing diagnoses.Conclusion: This systematic review concludes that the use of clinical decision support systems can help nurses or nursing students in establishing accurate nursing diagnoses.
Effectiveness of Self-Management Education based on Information Technology (IT) in Chronic Kidney Disease Patients Innani Wildania Husna; Qolbi Nur Qoidah Yahya; Masita Widiyani; Sholihin Sholihin
Jurnal Ners Vol. 14 No. 3 (2019): Special Issue
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.702 KB) | DOI: 10.20473/jn.v14i3.17180

Abstract

Introduction: Chronic Kidney Disease (CKD) has a slow progression in the treatment process. The use of IT (information technology) media as an innovation to support health education in patients with chronic kidney failure to improve their knowledge and self-management nowadays is becoming a trend.Methods: We analyzed the literature to identify the effectiveness of IT using as education media on chronic kidney disease patients. Articles were obtained by PRISMA approach from Scopus, ScienceDirect, CINAHL, PubMed, and Proquest limited to the 5 years; from 2013 to 2018 and obtained 12 articles with RCTs design study. We identified interventions based on IT devices such as smartphones, PDAs (Personal Digital Assistant), computer-based applications, telehealth, film, SMS, and website-based applications.Results: This studies assessed 12 journals. According to the outcomes, there were 38 outcomes in total which are divided into three groups. They were 13 clinical outcomes, 14 caring process outcomes, and 11 usability and feasibility outcomes.Conclusion: Overall, the percentage of intervention which had a positive effect on the outcomes was about 47%. Smartphone and computer-based technologies are the most effective to help the patient find information about aspects related to caring, self and disease management which are recommended by the health care team.
Co-Authors Abdul Fatah Rasyidi Agusnimar Agusnimar Agustina Soares Akhmad Yanuar Fahmi Akhmad Yanuar Fahmi Pamungkas Dian Roshanti Enni Savitri Erik Toga Essy Sonontiko Sayekti Filianingrum Ade Saputri Hermandra Hermandra Innani Wildania Husna Ivan Rachmawan Laili, Roudlotun Nurul Mahmud Mustain Mangatur Sinaga Masita Widiyani Muhammad Al Amin Muhammad Nashir Munif, Badrul Nuristy Brillian Ainindyahsari Winarna Qolbi Nur Qoidah Yahya Rima Ambarwati Rohmat Ilman Salim Sujantoko Sujantoko Ujang Sumarwan Volta Diyanto Wikan Purwihantoro Sudarmaji Yanuar Aga Nugraha