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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 7 Documents
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Search results for , issue "vol. 3 no. 2 (2026)" : 7 Documents clear
Health-Promoting Behaviors Among Hospital Employees and Their Implications for Workplace Health Education: A Cross-Sectional Study Zahra Sarabandi; Mehdi Sheikh Mozafari; Fateme Ahmadi; Nazanin Nakhaei; Moein Eilaghi; Negar Aghaee
Asian Journal of Public Health and Nursing Vol. 3 No. 2 (2026)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/17tths22

Abstract

Background: Health-promoting behaviors are essential for maintaining well-being and preventing chronic diseases, particularly among healthcare professionals. However, hospital employees are frequently exposed to occupational stressors that may negatively affect their personal health behaviors. This study aimed to assess health-promoting behaviors among hospital employees and examine the influence of demographic and occupational factors. Methods: This cross-sectional study was conducted among 293 employees at a private hospital using convenience sampling. Of approximately 320 eligible employees, 293 participated (response rate: 91.5%). Data were collected using the Walker Health-Promoting Lifestyle Profile (HPLP), which demonstrated good internal consistency in the present study (Cronbach’s alpha = 0.89). Independent t-tests, one-way ANOVA, Pearson correlation, and multiple linear regression analyses were performed using SPSS version 25. Results: The overall health-promoting behavior score was moderate (M = 2.61, SD = 0.48). Spiritual growth and stress management had the highest mean score, while nutrition had the lowest. Most demographic variables were not significantly associated with health-promoting behaviors. A weak negative correlation was observed between work experience and health responsibility (r = –0.116, p = 0.049). The regression model explained only 1.6% of the variance and was not statistically significant. Conclusion: Demographic variables showed limited influence on health-promoting behaviors among hospital employees. The findings suggest that broader organizational and environmental factors may play a more important role in promoting healthy behaviors in workplace settings.
Cognitive Impairment in Schizophrenia: Prevalence and Domain-Specific Deficits Among Indonesian Psychiatric Patients Juwita Saragih; Agustina Agustina; Fitri Tilawah; Eka Arianti; Hedya Nadhrati Surura; Husna Islahuddin; Liza Fathiariani
Asian Journal of Public Health and Nursing Vol. 3 No. 2 (2026)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/wbhkbq81

Abstract

Background:  Cognitive impairment is a core dimension of schizophrenia that significantly contributes to long-term functional disability. Although international evidence indicates a high prevalence of cognitive deficits in schizophrenia, data regarding cognitive domain profiles among clinical populations in Indonesia remain limited. This Study aims to determine the prevalence of cognitive impairment and describe the profile of cognitive domain performance among patients with schizophrenia. Methods:  This hospital-based cross-sectional study involved 101 patients with schizophrenia (ICD-10 F20) aged ≥18 years who were in clinically stable condition. Cognitive function was assessed using the Indonesian version of the Montreal Cognitive Assessment (MoCA-INA). Cognitive impairment was defined as a total MoCA score <26, with the standard education correction (+1 point for ≤12 years of education) applied. Descriptive analyses were conducted to present total and domain subscale scores as mean ± standard deviation and percentages of the maximum possible score for each domain. Results: The mean age of respondents was 38.72 ± 9.22 years, with a mean duration of illness of 6.61 ± 3.86 years. The mean total MoCA score was 17.17 ± 7.02. Overall, 92.08% of patients had MoCA scores <26 (95% CI added: 87.20–96.96%) . Domain analysis showed the poorest performance in memory (delayed recall), achieving only 34.26% of the maximum score, followed by abstraction (43.07%) and attention (48.84%). Relatively preserved domains included naming (86.80%) and orientation (73.27%). Conclusion: Cognitive impairment was detected in the majority of patients with schizophrenia at Aceh Psychiatric Hospital, with the most prominent deficits observed in memory and higher-order executive functions. These findings highlight the importance of integrating routine cognitive screening into the comprehensive management of patients with schizophrenia.  
Effectiveness and Implementation Challenges of Malaria Control Interventions Among Children Under Five in Malawi: A Systematic Review Eneles Chisonga; Russell Kabir
Asian Journal of Public Health and Nursing Vol. 3 No. 2 (2026)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/g8v67q86

Abstract

Background: Malaria remains a major cause of morbidity and mortality among children under five years of age in Malawi despite the widespread implementation of insecticide-treated nets (ITNs), indoor residual spraying (IRS), and the RTS,S/AS01 malaria vaccine. However, evidence regarding the effectiveness of these interventions remains fragmented. Methods: A systematic review was conducted following the PRISMA 2020 guidelines. PubMed, Scopus, Web of Science, and Embase were searched for studies published between 2015 and 2025 evaluating malaria control interventions among children under five years of age in Malawi. Eight studies met the inclusion criteria and were synthesised narratively due to heterogeneity in study designs and outcome measures. Methodological quality was assessed using study-design-appropriate appraisal tools, including CASP checklists for empirical studies. Five studies were assessed as high quality and three as moderate quality. Results: Across the included studies, ITN use was generally associated with lower malaria risk or prevalence, although the magnitude of effect varied due to differences in study design, outcome measures, and study settings. IRS reduced prevalence by up to 20% in sprayed households. Evidence on RTS,S/AS01 indicated protection against clinical malaria that varied with environmental context, while modelling estimated the greatest reductions (65–71%) when vaccination was combined with ITN use. Post-introduction evidence identified no new vaccine safety concerns. Intervention effectiveness was influenced by utilisation, coverage, insecticide resistance, environmental conditions, and socioeconomic factors. Key implementation challenges included inconsistent ITN use, logistical constraints, and inequities in access and uptake. Conclusions: Malaria control interventions were generally associated with reductions in the malaria burden among children under five years of age in Malawi, with modelling evidence suggesting additional benefits from combining RTS,S/AS01 vaccination with ITN use. However, evidence on combined interventions was limited and heterogeneous, with the largest estimated benefits derived from modelling. Strengthening integrated delivery strategies, improving adherence, and addressing implementation challenges are essential for achieving sustained reductions in malaria transmission.
Nurse-Led Early Deterioration Surveillance in Adult ICU: A Concept Analysis Sandra A Villanueva-Bonus; Ronnell D. Dela Rosa
Asian Journal of Public Health and Nursing Vol. 3 No. 2 (2026)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/s7n0nz20

Abstract

Background: Early recognition of clinical deterioration in adult intensive care units (ICUs) is essential to preventing avoidable morbidity and mortality. Although ICUs are equipped with advanced monitoring systems, delayed recognition of subtle physiological decline remains a persistent patient-safety concern. This concept analysis aimed to clarify nurse-led early deterioration surveillance in adult ICU settings using Walker and Avant's concept analysis framework, identifying its six defining attributes—continuous observation, clinical reasoning, trend recognition, anticipatory action, escalation of care, and interdisciplinary coordination—together with its antecedents, consequences, and empirical referents. Methods: A structured literature search of PubMed, CINAHL, Scopus, and SAGE Journals was conducted for peer-reviewed literature published between January 2006 and June 2026, a period that had fully elapsed at the time of writing. PRISMA 2020 was used only to structure and report the search and screening process, consistent with its increasing use in nursing concept analyses; it was not used as a systematic review of intervention effects. Forty-five studies met eligibility criteria and were analysed using Walker and Avant's eight-step method. Formal quality appraisal of included studies was not performed, consistent with concept analysis convention, and this is acknowledged as a limitation. Results: Six defining attributes were identified: continuous observation, clinical reasoning, trend recognition, anticipatory action, escalation of care, and interdisciplinary coordination. Antecedents included critically ill adult patients, competent ICU nurses, adequate staffing, monitoring technologies, escalation protocols, and organisational safety culture. Effective surveillance was associated with reduced ICU mortality, fewer cardiac arrests, improved patient safety, shorter ICU stay, enhanced nurse confidence, and improved team responsiveness, although these outcomes are also shaped by illness severity and system-level factors. Empirical referents were separated into process indicators of surveillance itself (e.g., reassessment completion, alarm response time, competency scores) and associated clinical outcomes (e.g., rapid response activation rates, ICU mortality, failure-to-rescue events). Conclusion: Nurse-led early deterioration surveillance is an active, systematic nursing function that links moment-to-moment monitoring data with timely clinical judgement and intervention. Clarifying this concept can support critical care education, workforce development, policy formation, and evaluation of surveillance systems in adult ICUs, including resource-variable settings across the Asia-Pacific region.
Community Engagement versus Social Mobilization in Public Health Interventions: A Qualitative Study of Practitioners’ Perceptions Lawizah Usman; Sadiq Yusuf; Hadijah Usman-Yamman; Philomena Hope Ajayi; Okedare Tobi Victor; Nma Usman Abdul; Samuel Bulus Kaze; Mahmud Fauziya Tanko; Junaidu Inuwa; Abdulsalam Ahmed
Asian Journal of Public Health and Nursing Vol. 3 No. 2 (2026)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/1tdywf20

Abstract

Background: Community engagement and social mobilization are widely used strategies in public health interventions, yet limited empirical evidence exists comparing their effectiveness, sustainability, and long-term impact, particularly from practitioners’ perspectives in Nigeria. This study explored practitioners' perceptions of both strategies in Minna, Niger State, Nigeria. Methods: A descriptive qualitative research design was adopted. Data were collected through semi-structured key informant interviews with 21 purposively selected public health practitioners from state government agencies, development partner organizations, and local government authority health departments. Data were analyzed using Braun and Clarke's six-phase thematic analysis framework with NVivo 16 software, generating six themes and twelve categories. Results: Practitioners described community engagement as a structured, multi-dimensional participatory process involving community participation, stakeholder involvement, gatekeeper engagement, and shared decision-making. It was perceived as important for public health intervention success and required continuous rather than episodic implementation. Reported outcomes included improved service uptake, enhanced acceptance, strengthened trust, reduced non-compliance, and community ownership. Social mobilization was viewed as effective for generating rapid awareness through diverse communication channels, but was characterized as incentive-dependent, shallow in participation, and less sustainable. Community engagement was consistently perceived as more sustainable due to stronger ownership, durable behavior change, and enhanced community agency. Both strategies were viewed as complementary. Conclusion: The study concludes that, from practitioners’ perspectives, community engagement was perceived as more effective for long-term sustainability and behavior change, while social mobilization was valued for rapid awareness creation. Public health systems in Nigeria should institutionalize community engagement while strategically deploying social mobilization to maximize both immediate and long-term health gains.  
Application of Logistic Regression in Health and Allied Research: Part I – Basic Concepts, Purpose, Methods, Variable Requirements, and Assumptions Mohammad Tajul Islam; Russell Kabir; Sufia Nasrin Rita; Ali Davod Parsa; SM Anwar Sadat
Asian Journal of Public Health and Nursing Vol. 3 No. 2 (2026)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/jsgzqy90

Abstract

Background: Logistic regression is a widely used multivariable statistical method in health and allied research for examining associations and predicting categorical outcomes. However, its appropriate application requires an understanding of the type of outcome variable, model specification, variable coding, and underlying assumptions. This article provides an accessible introduction to logistic regression for non-statisticians, clinical professionals, and early-career researchers. Methods: This methodological article reviews the purpose, methods, mathematical concepts, variable requirements, sample size considerations, and assumptions of logistic regression. It distinguishes binary, multinomial, and ordinal logistic regression and explains odds, logit transformation, regression coefficients, odds ratios, predicted probabilities, reference category selection, and dummy variable coding. Results: Binary logistic regression is appropriate for dichotomous outcomes, multinomial logistic regression for nominal outcomes with more than two categories, and ordinal logistic regression for ordered categorical outcomes. Appropriate coding and selection of reference categories are essential for interpretation. Although a minimum of 10 outcome events per estimated model parameter has traditionally been used as a rule of thumb, sample size requirements depend on the characteristics and purpose of the model. Logistic regression does not require normally distributed predictors but requires attention to model assumptions and diagnostics. Conclusions: This article provides an accessible foundation for understanding and applying logistic regression in health and allied research and prepares readers for Part II, which focuses on binary logistic regression.
Application of Logistic Regression in Health and Allied Research: Part II – Binary Logistic Regression Mohammad Tajul Islam; Russell Kabir; Sufia Nasrin Rita; Ali Davod Parsa; SM Anwar Sadat
Asian Journal of Public Health and Nursing Vol. 3 No. 2 (2026)
Publisher : Queeva Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62377/wbcdd272

Abstract

Background: Binary logistic regression is a widely used multivariable method in health and allied research when the outcome is dichotomous. However, its appropriate application requires careful consideration of variable coding, model specification, assumptions, diagnostics, and interpretation. This article is Part II of a series on logistic regression and provides practical guidance for non-statisticians, clinical professionals, and early-career researchers. Methods: This methodological tutorial describes the application of unconditional and conditional binary logistic regression using Stata. It covers coding of dichotomous outcomes and categorical predictors, selection of reference categories, model fitting, assessment of multicollinearity and model performance, estimation of predicted probabilities, variable selection, and interaction terms. Interpretation of regression coefficients adjusted odds ratios, 95% confidence intervals, and post-estimation results is illustrated using practical examples. Results: The tutorial demonstrates how binary logistic regression can be used to estimate adjusted associations and predict dichotomous outcomes. Practical examples illustrate the interpretation of adjusted odds ratios for categorical and continuous predictors, assessment of multicollinearity, evaluation of model calibration and discrimination, estimation of predicted probabilities, and examination of interaction terms. Important methodological considerations, including model diagnostics, overfitting, and variable selection, are highlighted. Conclusions: Binary logistic regression is a flexible method for analyzing dichotomous outcomes in health and allied research. Appropriate model specification, diagnostics, and interpretation are essential for obtaining valid and meaningful results. This tutorial provides practical guidance for applying and reporting binary logistic regression using Stata.

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