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Asian Journal of Public Health and Nursing
Published by Queeva Publishing
ISSN : -     EISSN : 30640008     DOI : https://doi.org/10.62377/
Core Subject : Health,
Medicine & Pharmacology Nursing Public Health
The Asian Journal of Public Health and Nursing (AJPHN) stands as a beacon of scholarly excellence, dedicated to fostering advancements in the realms of public health and nursing across the diverse landscape of Asia. With a commitment to promoting evidence-based practices, innovative research, and transformative policies, the journal serves as a vital platform for academics, practitioners, policymakers, and students alike. We expect that AJPHN as the place for young and motivate researchers to publish their first work.
Arjuna Subject : Keperawatan - Keperawatan (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 3 (2025)" : 5 Documents clear
Family Support and Self-Efficacy Among Post-Ischemic Stroke Patients: A Cross-Sectional Correlational Study Riski Amalia; Nani Safuni; Asrizal Asrizal; Abul A’la Tarigan; Irfanita Nurhidayah; Dewiyuliana Dewiyuliana; Anda Kamal
Asian Journal of Public Health and Nursing Vol. 2 No. 3 (2025)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/0tz1zp40

Abstract

Background: Post-ischemic stroke patients often experience residual functional limitations that affect recovery and daily functioning. Family support may influence self-efficacy during the rehabilitation process. Methods: This cross-sectional study was conducted from November to December 2023 among 193 post-ischemic stroke patients undergoing medical rehabilitation in a general Hospital in Indonesia. Samples were selected using purposive sampling. Family support was measured using a modified Family Support Instrument, and self-efficacy was assessed using the Stroke Self-Efficacy Questionnaire (SSEQ). Data were analyzed using the Spearman Rho correlation test. Results: Overall family support showed a weak positive correlation with self-efficacy (r = 0.290; p < 0.001). Informational support demonstrated a moderate positive correlation with self-efficacy (r = 0.429; p < 0.001). Appreciation support showed a weak negative correlation (r = −0.262; p < 0.001), while instrumental and emotional support were not significantly associated with self-efficacy. Conclusion: Family support is associated with self-efficacy among post-ischemic stroke patients, with informational support appearing to play a particularly important role. Strengthening family support through integration with healthcare and community-based services may enhance rehabilitation outcomes for post-ischemic stroke patients
Machine Learning Applications in Suicide Prediction and Prevention: A Narrative Review Kabir, Russel; Ferdous, Nahida; Valand, Nirav; Kadhim, Zaid; Obaleye, Peter; Parsa, Ali Davod
Asian Journal of Public Health and Nursing Vol. 2 No. 3 (2025)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/c9rj2z43

Abstract

Background: Suicide is a complex and preventable public health issue where traditional statistical techniques have shown limited effectiveness in predicting future suicide deaths. Machine learning offers promising approaches to identify complex patterns and improve prediction accuracy. Methods: This narrative review examined the application of machine learning in suicide prediction by searching academic databases (PubMed, CINAHL Plus, IEEE Xplore) using MeSH terms 'Machine Learning' and 'Suicide.' English-language articles published within the last five years focusing on suicide, suicide deaths, and prevention were included. The final selection comprised 18 articles after removing duplicates. Results: Key risk factors identified included mental health conditions (particularly depression), socioeconomic factors (unemployment and financial difficulties), family-related issues, and demographic characteristics (age, gender). Various machine learning approaches demonstrated effectiveness in predicting suicide risk. K-Nearest Neighbors and ensemble models (combining Random Forest and XGBoost) showed particularly strong performance. Time series models like ARIMA variants excelled at temporal predictions, while ensemble methods demonstrated versatility with multiple data sources. Conclusion: Machine learning techniques offer substantial improvements over traditional approaches for suicide prediction, with model selection dependent on data availability, geographical scale, and temporal requirements. Ensemble methods perform best with multiple data sources, while time series models excel with temporal data.
Self-Management and Knowledge Gaps in Chronic Disease Care: A Phenomenological Study of Patients with Hypertension, Diabetes Mellitus, and COPD in Indonesia Inayati, Rahmi; Sofyan, Hizir; Tahlil, Teuku; Marthoenis, Marthoenis
Asian Journal of Public Health and Nursing Vol. 2 No. 3 (2025)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/sxh5bz43

Abstract

Background: Non-communicable diseases (NCDs), including hypertension, diabetes mellitus, and chronic obstructive pulmonary disease (COPD), remain significant public health challenges in Indonesia. Despite advances in clinical management, patients lived experiences, particularly regarding disease-related knowledge and self-care practices, have received limited scholarly attention. Methods: A qualitative phenomenological approach was employed using focus group discussions and in-depth interviews with 19 participants, including 12 patients with hypertension, diabetes mellitus, and COPD; five primary health workers from community health center; and two district health office staff. The research was conducted between February and June 2024. Data were analyzed using descriptive phenomenological methods. Results: Three interrelated themes emerged. First, participants described delayed symptom recognition accompanied by limited initial understanding of their disease. Second, deeply entrenched lifestyle-related risk factors, including smoking, high salt and sugar intake, and physical inactivity. Third, inconsistent self-management practices following diagnosis. Although some participants attempted to adhere to medical advice and adopt healthier behaviors, these efforts were frequently constrained by inadequate health literacy, low motivation, and barriers to healthcare access. Persistent misconceptions regarding disease etiology were evident, reflected in culturally embedded terms such as “sweet urine” for diabetes and “lung pain” for COPD. Family support and religious beliefs were found to exert a dual influence, functioning as both facilitators and barriers to treatment adherence. Conclusion: Improving chronic disease outcomes in Indonesia requires the integration of culturally responsive health education, patient-centered communication, continuous follow-up, and health literacy interventions that are aligned with the sociocultural context of affected communities.
Public Health, Community Resilience, and Psychosocial Recovery after the 2025 Sumatra Floods and Landslides Marthoenis, Marthoenis
Asian Journal of Public Health and Nursing Vol. 2 No. 3 (2025)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/crkcn684

Abstract

Background:The floods and landslides that struck several provinces in Sumatra toward the end of 2025 resulted in substantial loss of life, large-scale displacement, and damage to public infrastructure. As of 29 December 2025, national disaster reports recorded around 1,140 deaths, 163 people missing, and nearly 400,000 displaced residents, with reconstruction needs estimated at approximately 51.82 trillion rupiah. These events underscore the intersection between disaster exposure, public-health system resilience, and psychosocial wellbeing. Objectives:This editorial reflects on the public-health and mental-health implications of the 2025 Sumatra disaster, draws on recent empirical and review evidence, and highlights priorities for strengthening community-based preparedness and recovery. Key Issues:Post-disaster settings are commonly characterized by increased risks of infectious disease, disruption of routine care for chronic and psychiatric conditions, and pressure on primary health-care services. Evidence from flood- and landslide-affected contexts in South and Southeast Asia indicates elevated symptoms of anxiety, depression, sleep disturbance, and post-traumatic stress among survivors, particularly among socio-economically vulnerable households, older adults, women, and adolescents. These psychosocial outcomes are shaped by prolonged displacement, livelihood loss, housing insecurity, and erosion of social support networks. Recommendations and Conclusion:The editorial emphasizes the importance of framing disaster risk reduction as a sustained public-health responsibility grounded in primary care and continuity of essential services, integrating psychosocial and mental-health care across preparedness, response, and recovery, and advancing inclusive, community-driven resilience strategies that prioritize vulnerable populations to protect dignity and wellbeing in future events.
Retraction: Understanding Barriers to PrEP Adherence: A Brief Report on the Combined Effects of Alcohol Misuse, PTSD, and Gut Microbiome Disruption in HIV Prevention AJPHN, Editor
Asian Journal of Public Health and Nursing Vol. 2 No. 3 (2025)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/rwwexw91

Abstract

Retraction Notice This notice concerns the article: Hasan MR, Davidson R. Understanding Barriers to PrEP Adherence: A Brief Report on the Combined Effects of Alcohol Misuse, PTSD, and Gut Microbiome Disruption in HIV Prevention. Asian Journal of Public Health and Nursing. 2025; 2(2):14–27. https://doi.org/10.62377/ayk4kk55 This article has been retracted at the request of the corresponding author. After publication, the author reported two ethical concerns:(1) inclusion of an institutional affiliation (Norton Hospital) without formal ethics approval or research authorization, and(2) unintentional conceptual overlap with an ongoing institutional research project conducted by senior colleagues.The author acknowledged these issues and requested retraction to maintain transparency and safeguard research integrity. Following editorial review, the Editor-in-Chief approved the retraction in accordance with the journal’s publication ethics policy and the COPE Retraction Guidelines. The original article remains available online for the scholarly record and is clearly marked as RETRACTED. This Retraction Notice is permanently linked to the original publication.

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