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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
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Search results for , issue "Vol. 2 No. 4 (2024): October 2024" : 5 Documents clear
The Correlation Between the Duration of Diabetes Exercise Series 5 and Blood Sugar Levels Among Members of the Indonesian Diabetes Association (PERSADIA) at Mayapada Hospital Bogor Pitdayani; Desvoita, Eva; Herawati, Lusi; Aryanti, Erna; Syahwa, Azmi Sulintya; Buka, Sisilia Prima Yanuaria
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i4.395

Abstract

Diabetes Mellitus (DM) is a metabolic condition characterized by elevated blood glucose levels (hyperglycemia), caused by insufficient insulin secretion, impaired insulin activity, or both. One of the management strategies for Diabetes Mellitus is physical exercise. Diabetes exercise is a low-impact aerobic workout recommended by PERSADIA. The fifth series of diabetes exercise, with a duration of 40-60 minutes, is beneficial in converting glucose into energy, thus slowing the progression of diabetes. This study aims to determine the relationship between the duration of the fifth series of diabetes exercise and blood sugar levels in members of PERSADIA at Mayapada Hospital Bogor. The study uses a quantitative descriptive design with a quasi-experimental approach through a one-group pre-posttest design. The research subjects were members of PERSADIA who participated in diabetes exercise, with a total sample of 30 respondents. The results showed that almost all members of PERSADIA at Mayapada Hospital Bogor experienced a reduction in random blood sugar levels (93.3%) after performing diabetes exercise according to the standard operating procedure (40-60 minutes), while 2 members (6.7%) who did not follow the SOP and exercised for less than 40 minutes experienced an increase in blood sugar levels. Statistical analysis using the chi-square test showed a p-value of 0.000, indicating a significant relationship between the duration of the fifth series of diabetes exercise and blood sugar levels in PERSADIA members at Mayapada Hospital Bogor. Conclusion: Diabetes exercise can play a role in regulating blood glucose levels if conducted according to the principles of diabetes exercise, which include meeting the standards of frequency, intensity, duration, and type of exercise.
Sociocultural and Economic Factors Influencing JKN Participation: A Cross-Sectional Study in Bajoe, Indonesia Ashari, Muhammad Rizki; Arwan; Syam, Sadli
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i4.709

Abstract

The implementation of the Jaminan Kesehatan Nasional (JKN) program in Indonesia seeks to achieve Universal Health Coverage by ensuring equitable access to health services for all citizens. Despite this aim, disparities in participation persist, particularly in rural and coastal regions. This study aimed to analyze the factors influencing community participation in the JKN program within the working area of Bajoe Community Health Center, Bone Regency. A cross sectional quantitative approach was used to survey 291 respondents selected through purposive sampling. Structured questionnaires were administered to assess demographic characteristics and the influence of five key variables: knowledge, trust, income, health condition, and family support. Data were analyzed using univariate and bivariate (Chi square) statistical techniques. Results revealed that knowledge, trust in the JKN system, income level, and family support had statistically significant associations with program participation (p < 0.05). Specifically, individuals with better knowledge, higher trust, greater income, and supportive families were more likely to be enrolled. Conversely, perceived or actual health status showed no significant correlation with participation. These findings suggest that proactive enrollment behavior is influenced more by informational, economic, and social dynamics than by immediate health needs. The study concludes that increasing JKN participation requires multi-dimensional strategies, including culturally tailored public education, institutional trust building, improved subsidy access for low income households, and family centered outreach. These interventions are essential to bridge participation gaps and strengthen the national health insurance framework.
Youth Smoking in Indonesia: Demographic Determinants and Policy Imperatives in a Middle Income Country Ramlan, Pratiwi; Syam, Sadli; Arwan; Firmansyah; Anas, Adhe Sofyan; Alchamdani
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i4.749

Abstract

Tobacco use among Indonesian youth remains alarmingly high despite ongoing anti-smoking initiatives, posing a significant public health challenge. This study aimed to identify the prevalence and key demographic determinants of youth smoking in Indonesia, utilizing a cross-sectional analysis of the 2023 Riskesdas national health survey and a 2024 Ministry of Health press release. Variables examined included age, gender, education, income level, and urban or rural residency, analyzed using frequency distributions, cross-tabulations, and logistic regression. Results revealed that smoking rates peaked among youth aged 20–24 (18.5%), with males and individuals from lower education and income backgrounds at greater risk. Urban youth and those who began smoking before age 15 were also more likely to develop long-term dependence. Socioeconomic disadvantage, limited health literacy, and weak enforcement of tobacco laws emerged as major risk factors. The findings highlight the need for comprehensive, multi-sectoral, and culturally adapted strategies including strengthened school-based programs, community engagement, stricter tobacco advertising bans, and increased tobacco taxation to effectively reduce youth smoking. Coordinated actions across education, policy, healthcare, and media sectors are critical for protecting Indonesia’s next generation from the harms of tobacco.
Health Informatics and Mental Health Services: Bridging Gaps in Access, Quality, and Equity Widyasih, Hesty; Firmansyah; Ashari, Muhammad Rizki; Syam, Sadli
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i4.1061

Abstract

Health informatics has emerged as a pivotal tool in transforming mental health services, offering new possibilities for diagnostic precision, treatment planning, and patient engagement. This narrative review aimed to examine the role of health informatics in improving mental health outcomes, with a focus on Clinical Decision Support Systems (CDSS), mobile health applications, artificial intelligence (AI), and inclusive data practices. A systematic literature search was conducted across databases including Scopus, PubMed, Web of Science, and Google Scholar, using targeted keywords related to digital health and psychiatry. Studies were screened based on defined inclusion and exclusion criteria to ensure methodological rigor and relevance. The findings reveal that CDSS improves diagnostic accuracy and comorbidity detection, though disparities exist in adoption between developed and developing countries. Mobile health applications demonstrate effectiveness in suicide prevention and trauma management, particularly among youth, but adoption is uneven across demographic groups. AI and big data contribute to early detection and personalized care, yet raise significant concerns about bias, privacy, and transparency. Inclusive data practices, especially in collecting sexual orientation and gender identity information, are essential for reducing disparities and promoting equitable care. Discussion highlights the need for supportive policy frameworks, adequate funding, digital infrastructure, and clinician training, alongside participatory approaches that ensure cultural sensitivity. This review concludes that health informatics holds substantial promise for improving accessibility, quality, and equity in mental health services. Yet, overcoming systemic, infrastructural, and ethical barriers remains essential to fully addressing the global mental health burden.
Balancing Innovation and Ethics: A Narrative Review of Artificial Intelligence in Healthcare Meinisasti, Resva
Medicor : Journal of Health Informatics and Health Policy Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/medicor.v2i4.1079

Abstract

Artificial intelligence (AI) is increasingly applied in healthcare, improving diagnostic accuracy, personalized treatment, and data management. However, its adoption raises ethical challenges related to patient privacy, algorithmic bias, clinical autonomy, and governance. This narrative review synthesizes peer-reviewed studies (2020–2025) identified through Scopus, PubMed, Google Scholar, and Web of Science. Findings indicate persistent risks of data breaches, algorithmic inequities, and loss of clinical autonomy. While techniques such as differential privacy and explainable AI offer solutions, their implementation remains uneven. Effective governance requires multi-stakeholder engagement and strong regulation. We conclude that responsible AI integration depends on transparent governance and inclusive model development to ensure equitable and trustworthy healthcare outcomes.

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