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Martha Kurnia Kusumawardani
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SURABAYA PHYSICAL MEDICINE AND REHABILITATION JOURNAL
Published by Universitas Airlangga
ISSN : -     EISSN : 26560895     DOI : https://doi.org/10.20473/spmrj.v2i1.16875
Core Subject : Health, Engineering,
Chemical Engineering, Chemistry & Bioengineering Health Professions Medicine & Pharmacology
Surabaya Physical Medicine and Rehabilitation Journal focused on both basic science and clinical study, with following topics: Neuromuscular rehabilitation Musculoskeletal rehabilitation Pediatric rehabilitation Cardiorespiratory rehabilitation Sport rehabilitation Geriatric rehabilitation This Journal also invites contributors from all associated disciplines.
Arjuna Subject : Kedokteran - Rehabilitasi
Articles 102 Documents
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Evaluating Hand Function across Brunnstrom Stages in Ischemic Stroke Patients Suryansah, Aurellia Shafitri; Siddik, Muhammad; Heriyani, Farida; Arsyiana, Fathia; Pambudi, Pagan
Surabaya Physical Medicine and Rehabilitation Journal Vol. 8 No. 1 (2026): SPMRJ, FEBRUARY 2026
Publisher : Faculty of Medicine, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/spmrj.v8i1.71412

Abstract

Background: Ischemic stroke disrupts blood flow to the brain, leading to decreased motor function, particularly in the hands. Based on previous studies, a detailed and objective description of hand function at each phase of the Brunnstrom stage has not been studied. Aim(s): This study assessed hand function in post-stroke patients at Bhayangkara Tk III Banjarmasin Hospital throughout each phase of the Brunnstrom stages. Material and methods: This observational descriptive research employed a cross-sectional design. We utilized primary data through observations using the Sollerman Hand Function Test. The sample comprised 50 post-ischemic stroke patients at the Physical Rehabilitation Clinic of Bhayangkara Tk III Banjarmasin Hospital between August and October 2024, selected via purposive sampling. Result: This study indicated that 46 patients (92%) had poor hand function, while 4 (8%) had good function. The majority were in Brunnstrom phase VI (50%), followed by phase V (22%), phase III (18%), phase IV (6%), and phase II (4%). All subjects in phases II to V exhibited poor hand function. In phase VI, 4 individuals (16%) demonstrated good hand function, while 21 (84%) had poor function. Conclusions: The findings conclude that the majority of ischemic stroke patients exhibit poor hand function, highlighting the need for targeted rehabilitation strategies. Healthcare facilities should educate patients on independent motor exercises, particularly for hand function, and encourage them to follow these exercises consistently to enhance recovery.
Effectiveness of AI-Based Chatbots as Additional Psychiatry Assistive Technology and Alternative to Mental Health Services for Adolescents Rahmat, Arya Dwi; Tauhid, Alfana Yudaru; Mulyadi, Faizah Azzahrah; Ellfazmy, Asyifa; Nikki Aldi Massardi; Elvira Yunita
Surabaya Physical Medicine and Rehabilitation Journal Vol. 8 No. 1 (2026): SPMRJ, FEBRUARY 2026
Publisher : Faculty of Medicine, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/spmrj.v8i1.75554

Abstract

Background: Adolescents' lives have been profoundly impacted by the rapid development of artificial intelligence (AI), especially in mental health. AI provides easier access to learning and psychological support through chatbots. However, it also raises concerns like dependency, reduced critical thinking, risks of stress, and social isolation, especially due to social media algorithms that shape digital behavior. Data privacy and diagnostic accuracy are also key issues in mental health applications. Aim: The main objective of this review is to examine whether AI-based chatbots can serve as an additional psychiatry assistive technology to help adolescents. Scope: The review was carried out by examining research articles from databases including PubMed and Google Scholar, with a focus on papers published between 2020 and 2025. Findings: AI chatbots like Emohaa, Elomia, and SEJATI have proven effective in alleviating symptoms of depression, anxiety, and insomnia. They provide immediate support, promote emotional expression, and foster self-awareness. These chatbots have also shown promise in telerehabilitation contexts by aiding in monitoring, providing behavioral feedback, and facilitating early intervention. However, an overreliance on AI systems might hinder emotional sensitivity and social growth. Conclusion: AI chatbots hold significant promise as therapeutic resources in adolescent mental health, especially in under-resourced environments. However, their application must be carefully weighed against ethical considerations, data privacy safeguards, and continuous professional supervision. The responsible incorporation of AI into mental health care can enhance access and customization while reducing psychological and social risks.

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