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Medicor : Journal of Health Informatics and Health Policy
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 30309166     DOI : https://doi.org/10.61978/medicor
Core Subject : Health,
Health Professions Public 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
Arjuna Subject : Kedokteran - Informatika Kesehatan
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 3 (2025): July 2025" : 5 Documents clear
Prolonged Grief Disorder and Early Onset Depression in Children Basuki, ⁠Shinta Maulydiyah; Prisnidiawati, Ajeng; Karida, Rika Nur; Rasyid, Rezza Dwi Ar; Ridlo, Fairuz; Ilahi, Marintik; Algristian, Hafid
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i3.536

Abstract

Children who experience the death of a significant attachment figure, such as a parent or grandparent, are particularly vulnerable to Prolonged Grief Disorder (PGD) and early-onset depression. Unlike adults, children may manifest grief through somatic symptoms, irritability, or behavioral disturbances rather than overt sadness. The grief process in childhood, if not properly addressed, can disrupt emotional regulation, cognitive development, and psychosocial functioning. This case report discusses a 10-year-old boy who developed depressive symptoms following the loss of his grandfather, with whom he had a strong emotional bond. His symptoms included persistent sadness, social withdrawal, emotional dysregulation, and somatic complaints. These were compounded by environmental stressors such as parental divorce, an emotionally invalidating caregiving environment, and exposure to an aggressive alcoholic family member. Assessment involved clinical interviews, psychiatric evaluations, and a comprehensive review of literature addressing grief and child mental health. The patient met the diagnostic criteria for PGD and showed comorbid early-onset depression, highlighting the interconnected nature of grief and affective disorders in children. Neurobiological factors, particularly dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, were considered in the etiology. The case underscores the importance of early recognition, family-centered psychosocial interventions, and integrative therapeutic approaches including cognitive-behavioral therapy (CBT), expressive arts, and complementary methods such as aromatherapy. This report emphasizes the urgent need for culturally sensitive, trauma-informed strategies to help bereaved children navigate loss and prevent chronic psychiatric outcomes. Early intervention plays a critical role in promoting resilience and long-term mental well-being in grieving children.
A Case Report on Moderate Depression as a Precipitating Factor for Chronic Gastritis Rasyid, Rezza Dwi Ar; Ridlo, Fairuz; Karida, Rika Nur; Prisnidiawati, Ajeng; Basuki, Shinta Maulydiyah; Kasiani, Tutik Nur; Algristian, Hafid
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i3.535

Abstract

Depression is increasingly acknowledged as a key contributor to gastrointestinal dysfunction, primarily through neuroendocrine mechanisms such as activation of the hypothalamic–pituitary–adrenal (HPA) axis. Elevated cortisol in depressive states may trigger increased gastric acid secretion, altered gut motility, and intestinal barrier disruption, which contribute to inflammation and recurrent gastritis. While chronic gastritis is often treated pharmacologically, the psychological dimension is frequently overlooked. This case report investigates the role of moderate depression as a triggering factor for chronic gastritis through HPA axis dysregulation. A 33-year-old woman diagnosed with both conditions was followed for six months. Data were obtained via DSM-5-based psychiatric assessments, medical records, and follow-up interviews. The patient was treated with sertraline (50 mg/day) and standard gastritis therapy. Notable improvements in depressive symptoms were observed, along with a marked reduction in gastritis recurrence. This outcome supports existing evidence that psychological stress can impact gastrointestinal health via neuroinflammatory responses, immune dysfunction, and microbiota alteration. The case highlights the importance of an integrated treatment model that addresses both psychological and physical aspects. Routine mental health screening in patients with persistent gastrointestinal symptoms may enhance treatment efficacy and reduce recurrence. A biopsychosomatic approach involving collaboration between psychiatry and gastroenterology is recommended for comprehensive and effective care.
Strengthening Preventive Health Services in Urban Indonesia: A Qualitative Study from Puskesmas Kuta Alam Arwan; Syam, Sadli; Firmansyah; Syahrir, Muhammad Sabri; Satria, Muhammad Aji; Hilintang, Rendhar Putri
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i3.720

Abstract

This study specifically examines how promotive and preventive health strategies are implemented in Puskesmas Kuta Alam, Banda Aceh, Indonesia, to address the challenges of urban health services. This study aims to explore the implementation dynamics of these strategies at Puskesmas Kuta Alam, an urban public health center in Banda Aceh, Indonesia. Using a qualitative descriptive approach, data were collected through interviews, observations, and document analysis, focusing on four themes: communication, resources, staff disposition, and bureaucratic structure. Findings reveal that while health promotion efforts exist, they are constrained by unidirectional communication practices, low community engagement, and a lack of culturally adapted messaging. Human resource limitations, including an absence of trained personnel and insufficient educational infrastructure, further weaken program effectiveness. Staff demonstrated moral commitment to preventive care but lacked formal training and policy literacy, leading to inconsistent implementation of national health regulations. Moreover, the absence of a clearly defined organizational structure for promotive preventive programs resulted in poor coordination and accountability. These insights highlight the systemic challenges faced by Puskesmas in Banda Aceh in translating health policy into practice. The study recommends adopting participatory communication strategies, enhancing training and infrastructure, and establishing a dedicated institutional unit for preventive services. By contributing to the growing body of knowledge on primary health care implementation in LMICs, the study offers evidence based recommendations to strengthen health promotion capacity at the local level.
Artificial Intelligence, Big Data, and IoT in Public Health Surveillance: A Global Narrative Review Alchamdani; Anas, Adhe Sofyan; Sunita
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i3.1084

Abstract

The transformation of public health surveillance through digital technologies has significantly reshaped global health responses in the post-pandemic era. This narrative review synthesizes evidence from 2019 to 2025, highlighting the roles of artificial intelligence (AI), big data, and the Internet of Things (IoT) in improving outbreak forecasting, data integration, and real-time monitoring. While high-income countries demonstrate successful implementation due to robust infrastructures and governance, low- and middle-income nations face systemic barriers such as inadequate digital capacity and workforce limitations. Key challenges include fragmented systems, interoperability issues, and persistent digital divides. Policy coherence, investment in workforce training, and ethical data governance emerge as critical enablers of sustainable and equitable surveillance. The findings underscore the need for inclusive digital health strategies that extend beyond emergency responses to build resilient systems capable of addressing both emerging threats and long-term public health priorities.
Data-Driven Health Equity: The Role of Artificial Intelligence in Addressing Social Determinants of Health Zahraini, Dian Ayu
Medicor : Journal of Health Informatics and Health Policy Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v3i3.1085

Abstract

Artificial Intelligence (AI) is increasingly recognized as a powerful instrument for addressing Social Determinants of Health (SDOH) and advancing health equity. This narrative review aims to synthesize current evidence on how AI tools are applied to identify, interpret, and operationalize SDOH in public health interventions. Relevant literature was collected from major scientific databases. The findings reveal four key themes: the interconnectedness of determinants such as economic stability, housing, education, and digital equity; the promise of AI for predictive analytics and mapping health risks; stakeholder perspectives that underscore both optimism and concerns regarding data use; and the limited coverage of upstream determinants such as education quality and community cohesion. While AI technologies demonstrate clear potential to enhance health equity strategies, systemic challenges—including algorithmic bias, uneven data quality, and infrastructural constraints—limit their effectiveness. Addressing these barriers requires inclusive policies, investments in digital infrastructure, and participatory approaches that integrate community voices. This review concludes that AI has significant potential to promote equitable health outcomes, but future research must broaden its scope and develop robust frameworks to fully harness its capabilities.

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