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Medicor : Journal of Health Informatics and Health Policy
ISSN : -     EISSN : 30309166     DOI : https://doi.org/10.61978/medicor
Core Subject : Health,
Medicor : Journal of Health Informatics and Health Policy with ISSN Number 3030-9166 (Online) published by Indonesian Scientific Publication, published original scholarly papers across the whole spectrum of Health Informatics and Health Policy Research. The journal attempts to assist in the understanding of the present and potential ability Health Informatics and Health Policy Research
Articles 49 Documents
Smart Health Monitoring Systems for Elderly Populations: Opportunities, Challenges, and Global Perspectives Umar, Fadly; Firmansyah; Ashari, Muhammad Rizki; Syam, Sadli
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i4.1092

Abstract

The global increase in elderly populations has intensified demands for innovative healthcare solutions capable of supporting independence, safety, and chronic disease management. This narrative review explores the role of Smart Health Monitoring Systems (SHMS) in addressing these challenges by synthesizing evidence from diverse medical, engineering, and social science literature. A comprehensive search was conducted in PubMed, Scopus, and IEEE Xplore using keywords such as smart health monitoring, elderly, wearable devices, telemedicine, and assistive technology. Inclusion criteria emphasized studies focusing on SHMS for older adults, with both clinical and technical perspectives considered. The results reveal that wearable devices provide reliable monitoring of falls, vital signs, and daily activity, with reported accuracies exceeding 90%. Integration of IoT and AI technologies further enhances predictive capabilities, enabling early detection of health risks and reducing hospital admissions by as much as 30%. However, adoption remains constrained by systemic barriers, including privacy concerns, fragmented health data, limited digital literacy, and infrastructural deficits in developing regions. The discussion highlights the need for coordinated strategies involving improved digital infrastructure, user education, policy incentives, and interoperability frameworks to overcome these challenges. This review concludes that SHMS represent a transformative innovation for elderly care, but their full potential will only be realized through inclusive design, robust policy support, and culturally sensitive adaptation across diverse healthcare contexts.
Parental Influence in Early-Onset Childhood Depression: A Case-Based Perspective Prisnidiawati, Ajeng; Basuki, Shinta Maulydiyah; Karida, Rika Nur; Rasyid, Rezza Dwi Ar; Ridlo, Fairuz; Kasiani, Tutik Nur; Algristian, Hafid
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i4.538

Abstract

Childhood depression often stems from early-life stressors such as peer bullying and negative parenting. Early- onset depression can have long-term impacts on a child’s emotional and cognitive development. Nevertheless, parental awareness of their crucial role in supporting children’s mental health remains limited. This case report describes the clinical manifestation of depression in a 10-year-old boy, triggered by prolonged bullying and insufficient family support, and explores how parental psychoeducation can facilitate recovery. This research employs a descriptive qualitative case study method, in which data were collected through in-depth clinical interviews with the patient and his parents, as well as direct observation. The initial screening used the Strengths and Difficulties Questionnaire (SDQ) to identify emotional and behavioral concerns. Additionally, semi structured interviews were conducted to explore psychosocial history, school experiences, and parenting style over a four week outpatient period. The child presented with persistent sadness, social withdrawal, hallucinations, and academic pressure, particularly from his grandmother, with clear behavioral changes following continuous bullying at school. Through targeted psychoeducation, the mother adopted a more responsive and non-judgmental parenting approach, leading to gradual emotional improvement in the child, as seen by reduced social isolation and improved emotional expression. This case highlights the critical role of family support and parental psychoeducation as non-pharmacological interventions in early- onset childhood depression, emphasizing the importance of early detection of depressive symptoms and involving families in emotional support strategies to strengthen children’s mental resilience.
Addressing Self-Harm in Paranoid Schizophrenia: The Role of Supportive Psychotherapy in Primary Health Care Abdillah, Diaz Syafrie; Mumpuni, Yekti; Algristian, Hafid; Azizah, Nur; Khairunnisa
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i4.923

Abstract

Self-harm represents a serious psychiatric emergency frequently observed in individuals with schizophrenia, especially the paranoid subtype, where hallucinations, delusions, and comorbid depression play crucial roles. Although antipsychotic medications remain the cornerstone of treatment for symptom stabilization, they are often insufficient to address underlying psychosocial vulnerabilities that heighten self-harm risk. Supportive psychotherapy (SPT) has emerged as a cost-effective adjunctive intervention that can be integrated within primary health care to complement pharmacological treatment. This literature review synthesizes studies published between 2011 and 2025, retrieved from PubMed, ScienceDirect, and Google Scholar using the keywords paranoid schizophrenia, supportive psychotherapy, and self-harm. Findings reveal that SPT, when implemented after acute psychotic symptoms have subsided, enables patients to express emotions, receive reassurance, and modify maladaptive thoughts through supportive persuasion. Evidence indicates that SPT effectively reduces suicidal ideation and self-harm severity, commonly assessed using the Suicidal Intention Rating Scale (SIRS). Additionally, involving families and providing psychoeducation improve treatment adherence, reduce relapse rates, and create a more supportive home environment. Compared to structured psychotherapies such as cognitive behavioral therapy (CBT) or family-focused therapy (FFT), SPT is simpler, more flexible, and feasible in low-resource settings since it can be delivered by general practitioners with basic training. Overall, this review concludes that SPT offers significant potential to mitigate psychiatric emergencies and enhance the quality of life in paranoid schizophrenia patients at risk of self-harm. It recommends training primary care providers in SPT, integrating family psychoeducation, and implementing a stepped-care model that positions SPT as an initial stabilization phase before advancing to structured therapies.
Vitamin B6, B9, and B12 Supplementation in Antipsychotic-Induced Akathisia: A Case Report and Comprehensive Review Quddus Salam; Tiwik Koesdiningsih; Widyantari, Maya; Algristian, Hafid
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i4.983

Abstract

Schizophrenia and related psychotic disorders pose a substantial global health burden, with treatment often complicated by antipsychotic-induced extrapyramidal side effects. Akathisia, characterized by profound inner restlessness and repetitive movements, is particularly distressing and frequently leads to medication non-adherence and relapse. This case report and comprehensive review details the management of a 30-year-old woman with schizoaffective disorder who developed severe akathisia following three months of risperidone therapy, resulting in treatment discontinuation. Upon readmission, a multimodal therapeutic strategy was implemented: risperidone was switched to aripiprazole, and adjunctive therapy included clobazam, trihexyphenidyl, folic acid (B9), and mecobalamin (B12). The clinical rationale extended beyond conventional management to incorporate targeted nutritional support, based on evidence that vitamin B6 modulates dopaminergic, serotonergic, and GABAergic pathways, while folate and B12 are crucial for one-carbon metabolism, homocysteine regulation, and neuroprotection. Following this integrated intervention, the patient's akathisia resolved, daily functioning stabilized, and treatment adherence was restored. This report provides an in-depth discussion of the synergistic neurobiological mechanisms through which B vitamins may alleviate akathisia, situates the findings within the broader context of nutritional psychiatry, and highlights the socio-economic relevance of this low-cost, low-risk adjunctive strategy for resource-limited settings. While current evidence remains preliminary, this case underscores the importance of early akathisia recognition and supports the integration of nutritional assessment and B-vitamin supplementation into personalized treatment plans for patients intolerant to standard therapies. Further randomized controlled trials are warranted to establish standardized dosing and identify patient subgroups most likely to benefit.
Dyspepsia as a Trigger for Sleep Disorders: A Case Study of Gut–Brain Axis Interaction Friska Febrian Damayanti; Algristian, Hafid; Ilahi, Marintik
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.1139

Abstract

Functional dyspepsia is an upper gastrointestinal complaint without organic abnormalities that may interact with sleep through gut–brain axis mechanisms. We report the case of a 49-year-old woman with persistent insomnia occurring concurrently with epigastric pain for approximately one year. The patient relied on hypnotic medication and experienced early-morning awakenings. Psychiatric, somatic, and psychosocial evaluations indicated that the sleep disturbance was related to dyspeptic complaints. Management included psychoeducation, supportive psychotherapy, and Cognitive Behavioral Therapy for Insomnia (CBT-I), along with dyspepsia therapy (sucralfate and omeprazole) and a spiritual approach according to the patient’s preferences. Following integrated therapy, sleep patterns improved and the Insomnia Severity Index score decreased in parallel with the resolution of dyspepsia symptoms. This case demonstrates that dyspepsia can trigger sleep disturbances through gut–brain axis mechanisms and highlights the importance of a multidisciplinary approach in managing insomnia with gastrointestinal comorbidity. The report also emphasizes the clinical relevance of addressing biopsychosocial factors and incorporating culturally sensitive, patient-centered care to enhance therapeutic outcomes and prevent symptom recurrence.
The Relationship Between Ovarian Cancer and Depressive Symptoms: A Case Report Prawidya, Syahrul Gusnaldi; Roosyidah; Amsori, Anabela Amoreth; Subagyo, Novanthy Nur Rohmadhani; Baihaqi, Muhammad Azhari; Kumalaratih, Embun; Algristian, Hafid
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.902

Abstract

Ovarian cancer is a malignant tumor originating from the ovaries, affecting various age groups, with multiple histological types. Depression is a common mental disorder characterized by emotional and physical symptoms. Cancer diagnosis and treatment are widely recognized as major psychological stressors that can precipitate or exacerbate mental health disturbances, particularly depressive and anxiety disorders, due to the profound emotional, social, and physiological challenges experienced by patients. This case report highlights the relationship between ovarian cancer and depressive symptoms. This case report examines the relationship between ovarian cancer and depressive symptoms, with a focus on the psychological and inflammatory pathways influencing mental health. A 44-year-old woman presented with a loss of interest in activities, beginning three weeks after her ovarian cancer diagnosis. Research indicates that factors such as advanced cancer stage, poor physical functioning, and the absence or discontinuation of chemotherapy due to disease progression or treatment intolerance may increase the susceptibility to mental health disorders among ovarian cancer patients. Cancer patients, including those diagnosed with ovarian cancer, experience heightened stress and depression compared to those with non-neoplastic diseases. Depression can arise due to both psychological stress and inflammatory processes triggered by cancer treatments.
Reengineered DHIS 2 to Capture Maternal and Child Data at Point of Service for Prompt Intelligent Decision Making and Data Visualisation: A Case of Kiambu County Waiganjo, Sarah; Muliaro, Joseph Wafula; Karanja, Simon
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i4.1161

Abstract

Reengineering of health information systems (HIS) involves restructuring system functionality to improve efficiency, usability, and reliability for rapid, evidence-based decision-making. This study presents a reengineered District Health Information Software 2 (DHIS2) prototype designed to capture maternal and child health (MCH) data at the point of service in Kiambu County, Kenya. By integrating key measures of data quality – namely completeness, timeliness, accuracy, and consistency – the prototype aligns with the four Vs of big data. A cross-sectional study involving 23 health facilities used questionnaires, interviews, and desk research to assess existing data management processes. Findings revealed heavy reliance on manual registers, resulting in duplicated entries, incomplete records, and delayed reporting. The reengineered DHIS2 prototype automated these processes, enabling real-time data capture and improved tracking of maternal and child health indicators. Testing at a pilot facility demonstrated improved attendance tracking, reduced data entry errors, and real-time dashboard and GIS analytics supporting decisions on ANC follow-up, HIV prevention, and maternal delivery outcomes. The number of mothers served per day increased from an average of 60–100 to 120–150, while reporting timeliness improved from 20% to over 95%. This study highlights the potential of customizing DHIS2 to strengthen maternal and child health data systems in resource-limited settings, offering a cost-effective alternative to proprietary electronic health records.
Machine Learning Approach for Iron Deficiency Anemia Detection in Pregnant Women Using XGBoost and CTGAN Hatibović, Enes; Karaibrahimovic, Hana; Divanovic, Anida; Vanis, Nenad; Tulumović, Azur; Ler, Daria
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.1097

Abstract

Iron deficiency anemia (IDA) continues to pose one of the most significant challenges in maternal health, affecting nearly 40% of pregnant women worldwide according to the World Health Organization (2023).  Despite advances in obstetric screening, conventional diagnostic methods such as complete blood count (CBC) tests often fail to detect early or latent stages of anemia due to physiological changes associated with pregnancy.  This study introduces a robust machine learning framework integrating Extreme Gradient Boosting (XGBoost), and Conditional Tabular Generative Adversarial Networks (CTGAN) for the early detection of IDA in pregnant women. Our approach addresses the class imbalance inherent in clinical datasets and incorporates trimester-specific hematological adaptations.  Using 3,944 anonymized clinical records from ASA Hospital Sarajevo (January–July 2025), we evaluated model performance across hematological features commonly used in obstetric care. The optimized model achieved a precision of 100%, recall of 65.2%, specificity of 100%, and an AUC-ROC of 0.8686. Comparative analysis against conventional CBC screening, which reached only 40.5% sensitivity, demonstrated significant improvement in detection reliability. These findings demonstrate the potential of AI-enhanced diagnostics to support early detection of IDA in pregnant women, reduce missed diagnoses, and strengthen clinical decision-making. Further multi-center validation and integration of additional biomarkers are recommended to confirm generalizability.
Website Redesign of Bandung City Special Dental and Oral Hospital Purbasari, Sophia; Kurnia, Mohammad Manzili
Medicor : Journal of Health Informatics and Health Policy Vol. 4 No. 1 (2026): January 2026
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v4i1.1211

Abstract

This study examines the redesign of the Bandung City Special Dental and Oral Hospital (RSKGM) website to address usability and accessibility issues in public healthcare digital platforms. As digital health services have become increasingly essential, particularly after the COVID-19 pandemic, hospitals are expected to provide efficient, user-friendly, and integrated online systems. The existing RSKGM website presented several UI/UX weaknesses, such as the separation of registration and information pages and poorly designed call-to-action buttons, which hindered the user experience. Using a qualitative approach supported by interviews, observations, questionnaires, and literature review, the research applied the 5W+1H and SWOT analytical frameworks, followed by wireframing, prototyping, and usability testing. Results showed that 69.6% of users found the previous website unattractive and difficult to use, while 85.7% agreed it needed a redesign. The new website successfully integrated registration and information services, improved call-to-action clarity, and reduced registration time from 15 seconds to 1.5 seconds. The novelty of this study lies in its integration of User-Centered Design (UCD) and the AISAS communication model to develop a contextual framework for redesigning digital health services in public hospitals, offering a new approach that bridges usability, communication strategy, and institutional branding. The findings demonstrate how user-centered redesign can enhance efficiency, accessibility, and user satisfaction while providing practical implications for digital transformation in public healthcare institutions.