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All Journal Jurnal Kedokteran Syiah Kuala Jurnal Kedokteran Brawijaya Sari Pediatri Padjadjaran Journal of Dentistry Jurnal Ilmiah Mahasiswa Kedokteran Medisia Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Jurnal Sinaps Poltekita : Jurnal Ilmu Kesehatan Indian Journal of Forensic Medicine & Toxicology Narra J Journal of Social Research Journal of Medical Science; Jurnal Ilmu Medis Rumah Sakit Umum Daerah dr. Zainoel Abidin, Banda Aceh International Journal Of Public Health Media Penelitian dan Pengembangan Kesehatan
Rachmad Suhanda
Fakultas Kedokteran Universitas Syiah Kuala
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Journal : Narra J

 1 
Treatment acceptance and its associated determinants in cancer patients: A systematic review Novirianthy, Rima; Syukri, Maimun; Gondhowiardjo, Soehartati; Suhanda, Rachmad; Mawarpury, Marty; Pranata, Agung; Renaldi, Teuku
Narra J Vol. 3 No. 3 (2023): December 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v3i3.197

Abstract

Treatment recommendations for cancer patients are carried out according to clinical assessment, type and stage of cancer and treatment guidelines. However, many patients do not accept the recommendations. This raises obstacles in managing of cancers, which not only affects the patients, but also the family and people around the patients. This problem could increase morbidity, mortality and recurrence rate, which might result in lower quality of life. Since this condition is a complex problem, there is necessity to explore and determine various determinants from different levels. The aim of this systematic  review was to explore the acceptances of cancer treatments among cancer patients and its associated determinants. Articles published from 2010 to 2023 were searched in four databases: ScienceDirect, Medline, Google Scholar and PubMed. Articles written in English and focussing on three main cancer treatments (surgery, chemotherapy and radiotherapy) were eligible.  A narrative approach was used and the data were analysed into selected themes. Data suggest that several factors influence patient acceptance for cancer therapy including sociodemographic, economic and spiritual cultural backgrounds; patient knowledge and perceptions; community support, as well as policy and availability of health facilities.  The determinants consist of individual, interpersonal, institutional, community and public policy level and interaction between levels are contributing to cancer treatment acceptance. In conclusion, cancer treatment acceptance remains a problem in particular in low middle income countries. In addition, the data on radiotherapy referral acceptance were limited and needed further study.
Application of artificial intelligence technology in monitoring students’ health: Preliminary results of Syiah Kuala Integrated Medical Monitoring (SKIMM) Pratama, Rovy; Suhanda, Rachmad; Aini, Zahratul; Nurjannah, Nurjannah; Geumpana, Teuku A.
Narra J Vol. 4 No. 2 (2024): August 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i2.644

Abstract

Health promoting university is a holistic approach to health that uses higher education settings to create a learning environment that improves the health and well-being of the campus community in a sustainable manner. The utilization of technology such as artificial intelligence (AI) could be one of the main success factors in the implementation of health-promoting universities to increase the effectiveness and efficiency of all stages of activities carried out in health promotion and prevention efforts. Integrated monitoring with the utilization of AI in this program is conducted to evaluate the health status of the students. The Syiah Kuala Integrated Medical Monitoring (SKIMM) has three components of continuous health status evaluation: vital signs, nutritional status, and burnout status. Health status monitoring was conducted continuously for three months among medical students at the Faculty of Medicine Universitas Syiah Kuala, Banda Aceh, Indonesia. This system uses the WhatsApp application as a platform to monitor health status. Student health monitoring in this program consists of two main activities: the health measurement phase and the health monitoring phase. The use of the SKIMM system to monitor students' vital signs, nutritional status and burnout status through the use of AI significantly raises students' awareness to conduct timely self-examination and enables sustainable healthy lifestyle behavior change. The adoption of AI technology allows for continuous health promotion to the entire academic community, including students in implementing the health promoting university.
Co-Authors Adnyana, I Gde Hary Eka Agung Pranata Aini, Zahratul Atika, Siti Azka Muda Adri Chairunas Chairunas Cut Fauziah Dessy R. Emril Dian Lestari, Nova Djazuly Chalidyanto Dwi Susanti, Nurhayani ENDANG MUTIAWATI, ENDANG Evrillisa, Ghina Alya Fadhlia Farida Farida FIRDAUSA, SARAH Fitria, Sova Geumpana, Teuku A. Hasan, Desi Salwani Hendra Zufry, Hendra Irwan Saputra Ismy, Dewi Purnama Sari Juwita Kurnia , Benny Kurnia Fitri Jamil Laurentina, Yoriko Liza Meutia Sari M. Yogi Riyantama Isjoni Machillah, Nurul Maimun Syukri, Maimun Marty Mawarpury Mellazulfa, Dhea Sofiana Mulkan Azhari Munadi Munadi Mustaqiem Isda Nurfianto, Sigit Nurjannah Nurjannah Oktaria Denantika Refani, Priska Renaldi, Teuku Rima Novirianthy Rovy Pratama, Rovy Said Usman Sembiring, Thyrister Nina Asarya Setiani, Lily Sinta, Gian Salsabila Soehartati Gondhowiardjo Sukri Ekadamayanti, Agustia T. Maulana Tristia Rinanda Ummu Balqis Usman Hadi Wardhana Sucipto, Krishna Widodo J. Pudjirahardjo Winda Yulia Yeni Yeni Yuarta, Ferina Agustia Yus, Teuku Muhammad Zainul Abidin, Siti Nur Nabihah Zakaria, Iskandar Zulkarnain Zulkarnain