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Journal of Public Health Indonesian
Published by PT Anagata Sembagi Education
ISSN : -     EISSN : 30481139     DOI : https://doi.org/10.62872/jphi.v2i5
Core Subject : Health,
Health Professions Medicine & Pharmacology
Journal of Public Health Indonesian: Jurnal Kesehatan Masyarakat is an international, peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health. It is aimed at all public health practitioners and researchers and those who manage and deliver public health services and systems. It will also be of interest to anyone involved in provision of public health programmes, the care of populations or communities and those who contribute to public health systems in any way. Published six times a year, Journal of Public Health Indonesian: Jurnal Kesehatan Masyarakat considers submissions on any aspect of public health across age groups and settings. These include: Public health practice and impact Epidemiology and Biostatistic Applied Epidemiology Need or impact assessments Health service effectiveness, management and re-design Health Protection including control of communicable diseases Health promotion and disease prevention Evaluation of public health programmes or interventions Public health governance, audit and quality Public health law and ethics Health policy and administration Capacity in public health systems and workforce Public health nutrition Environmental healthOccupational health and safety Reproductive health Maternal and child health Obstetrics This is not an exhaustive list and the Editors will consider articles on any issue relating to public health. Journal of Public Health Indonesian: Jurnal Kesehatan Masyarakat also publishes invited articles, reviews and supplements from leading experts on topical issues.
Arjuna Subject : Kedokteran - Kesehatan Masyarakat, Kesehatan Lingkungan dan Pekerjaan
Articles 75 Documents
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The Impact of Traditional and Modern Practices on Maternal Health During the Postpartum Period Andi Muhammad Multazam; Isah Fitriani; Annisa Andriyani
Journal of Public Health Indonesian Vol. 2 No. 5 (2026): JANUARY-JHH
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/wa2v2k33

Abstract

This mixed-method study demonstrates that postpartum care practices significantly influence maternal health outcomes, with modern practices and integrated traditional–modern approaches yielding better results than reliance on traditional practices alone. Quantitative findings indicate that mothers who adopted evidence-based postpartum care experienced improved physical recovery and overall health status, while qualitative insights reveal that traditional practices continue to play an important psychosocial and cultural role. The integration of both approaches emerged as the most beneficial model, suggesting that maternal health outcomes are optimized when biomedical care is complemented by culturally meaningful practices that provide emotional support and social reassurance. The findings carry important implications for maternal health policy and practice. Health professionals should avoid framing traditional postpartum practices as inherently harmful and instead adopt culturally sensitive strategies that encourage safe integration with modern care. Training programs for midwives and postpartum care providers should emphasize respectful communication and cultural competence to enhance maternal trust and service utilization. However, this study has limitations. The findings are context-specific and may not be fully generalizable to regions with different cultural or healthcare systems. Additionally, the cross-sectional nature of the quantitative phase limits causal inference, and self-reported health measures may be subject to recall bias. Future research should employ longitudinal designs and broader geographic coverage to further examine the long-term health effects of integrated postpartum care models.
Clinical Nursing Interventions and Their Contribution to Stability in Hemodialysis Patients with Chronic Kidney Disease Erwinsyah; Inaya Nur Aini
Journal of Public Health Indonesian Vol. 2 No. 5 (2026): JANUARY-JHH
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/5djndz03

Abstract

Chronic kidney disease is a progressive condition requiring long-term hemodialysis and is associated with a high risk of physiological instability. Clinical nursing interventions play a strategic role in maintaining patient stability during hemodialysis procedures. This study aimed to analyze the relationship and contribution of clinical nursing interventions to the stability of patients with chronic kidney disease undergoing hemodialysis. A quantitative approach with a cross-sectional observational analytic design was employed. The study sample consisted of patients receiving routine hemodialysis who met the inclusion criteria. Data were collected using structured observation sheets of nursing interventions and measurements of patient stability indicators, and analyzed using correlation and linear regression tests. The results demonstrated a positive and statistically significant relationship between clinical nursing interventions and patient stability. Regression analysis indicated that nursing interventions contributed significantly to patient stability after controlling for clinical factors. These findings confirm that clinical nursing interventions are a critical determinant of patient stability and safety in hemodialysis care. Strengthening evidence-based nursing practices is therefore recommended to improve the quality of hemodialysis services and clinical outcomes.
Surveillance Health Society: Ethics, Privicy, and Social Control in Digital Health Systems Hendra Cipta; Isah Fitriani; Ryryn Suryaman Prana Putra
Journal of Public Health Indonesian Vol. 2 No. 5 (2026): JANUARY-JHH
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/4tt4qc09

Abstract

The rapid expansion of digital health systems has transformed healthcare delivery while simultaneously embedding pervasive practices of surveillance within everyday life. Technologies such as electronic health records, wearable devices, and health analytics enable continuous monitoring and data-driven governance of bodies and behaviors. This study critically examines digital health systems through the lens of surveillance society, focusing on the ethical implications of privacy, autonomy, and social control. Employing a qualitative normative–critical approach, the study analyzes policy documents and academic literature from health ethics, surveillance studies, and critical social theory. The findings show that digital health systems function as infrastructures of continuous surveillance that classify risk, normalize behavior, and reshape relations between individuals, states, and technology providers. Ethical challenges arise from weakened informed consent, data commodification, and profound power asymmetries that limit individual control over personal health data. The study further argues that health-based narratives of prevention and security legitimize intrusive forms of governance, positioning digital health as a mechanism of social control rather than purely a tool of care. This research concludes that ethical governance of digital health requires moving beyond technocratic and procedural approaches toward a critical framework that addresses power, justice, and accountability in data-driven health systems
Biostatistical Approach to Predict Disease Risk Using Public Health Data Loso Judijanto; Isah Fitriani
Journal of Public Health Indonesian Vol. 2 No. 5 (2026): JANUARY-JHH
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/zjyppe33

Abstract

The increasing complexity of public health issues demands an analytical approach capable of optimally utilizing data to support disease prevention efforts. The increasing availability of public health data opens up opportunities for the development of evidence-based predictive approaches. This study aims to examine the role of biostatistical approaches in predicting disease risk using public health data and its implications for preventive efforts and health policy. The study employed a qualitative approach using literature review methods, including journal articles, academic books, and relevant policy documents. Data analysis was conducted thematically to identify the role of biostatistics in risk factor analysis, predictive model development, and the associated methodological and policy challenges. The study results indicate that biostatistical approaches play a crucial role in identifying multifactorial relationships between health determinants and disease incidence at the population level. Disease risk prediction models have been shown to support the identification of high-risk groups and the planning of more efficient preventive interventions. Key challenges include data quality, limited human resources, and gaps in the translation of analysis results into health policy. Overall, the biostatistical approach is a strategic foundation for the development of a data- and evidence-based public health system oriented towards disease prevention
Evaluation of Health System Preparedness for Post-Disaster Health Crises Inaya Nur Aini; Isah Fitriani; Ryryn Suryaman Prana Putra
Journal of Public Health Indonesian Vol. 2 No. 5 (2026): JANUARY-JHH
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/pb4m0v31

Abstract

Post-disaster health crises frequently expose structural vulnerabilities within health systems, including disrupted service delivery, limited medical resources, and weak inter-institutional coordination. This study aims to evaluate the level of health system preparedness for post-disaster health crises and to identify the structural barriers that hinder effective response and recovery. A mixed-methods approach was employed using a convergent explanatory design. Quantitative data were collected through a health system preparedness checklist covering human resources, infrastructure, logistics, referral systems, and emergency response protocols. Descriptive statistics and gap analysis were used to assess preparedness levels against established standards. Qualitative data were obtained through in-depth interviews with health policymakers, facility managers, and frontline health workers involved in disaster response, and analyzed thematically to explain quantitative findings.The results indicate that overall health system preparedness is at a moderate level, with relatively strong formal preparedness in emergency protocols but substantial gaps in logistics capacity, human resource availability, and operational coordination. Qualitative findings reveal that fragmented governance, delayed resource mobilization, and limited functional integration across institutions undermine the implementation of preparedness plans during post-disaster conditions. The integration of quantitative and qualitative results highlights a persistent gap between formal preparedness and functional readiness.This study concludes that effective post-disaster health preparedness requires moving beyond administrative compliance toward strengthening functional system capacity. The findings underscore the value of mixed-methods evaluation in generating comprehensive evidence to inform policy reforms aimed at improving health system resilience in disaster-prone settings.

Page 8 of 8 | Total Record : 75

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