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Safety and Health for Medical Workers
Published by PT Inovasi Analisis Data
ISSN : 30479460     EISSN : 30483786     DOI : https://doi.org/10.69725/shmw.v2i4
Core Subject : Health,
Health Professions Medicine & Pharmacology Nursing Public Health
AAt Safety and Health for Medical Workers (SHMW; P-ISSN: 3048-3786, E-ISSN: 3047-9460), we measure the value of research not by indexation alone, but by credible novelty, methodological rigor, and demonstrable benefit to frontline practice. High indexing can amplify dissemination, yet it is secondary to evidence that reduces exposure, strengthens infection prevention, improves ergonomics, and supports psychosocial well-being across healthcare settings. We therefore prioritize manuscripts that propose bold, testable ideas; report transparent methods and reproducible analyses; and translate findings into implementable solutions for workers, institutions, and policymakers. We welcome implementation studies, mixed-methods designs, replications, and well-documented null or negative results, alongside open data/code and stakeholder co-design. Our commitment is simple: if research does not meaningfully improve safety and health at work, it remains incomplete regardless of ranking. We invite authors who share this purpose to advance actionable science with SHMW.
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 4 (2025): January" : 5 Documents clear
Preventing Violence and Harassment Through Leadership, Policy, and Safety Culture in Emergency Healthcare Settings Arjun Bhandari Thapa; Pratiksha Priya Shakya
Safety and Health for Medical Workers Vol. 1 No. 4 (2025): January
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/shmw.v1i4.293

Abstract

Objective: This article investigates the effects of leadership commitment, organizational policies, training, reporting mechanisms, and workplace culture in reducing harassment and violence in work organizations.Methods: Quantitative cross-sectional survey design of employees in various industries. Responses were analyzed by structural equation modeling to investigate direct and indirect relationships between factors. Findings: The findings indicate that leadership support, sound policy implementation, and strong response are effective in minimizing workplace harassment and violence. Training and education programs develop the resiliency and awareness of employees to inappropriate behaviors. What’s more, a supportive organizational culture is a powerful driver in preventing misbehavior and suggests that societal approaches are more effective when they’re combined instead of working in isolation. Novelty: This study adds to the literature by combining several organizational-level initiatives as part of one comprehensive framework, creating a comprehensive view of how structural and cultural interventions intersect to reduce workplace harassment. Unlike past research concentrating on single variables, the present work highlights how leadership, policy, and culture act as additive mechanisms. Research Implications: The results have implications for the necessity of taking a multi-level and systems-oriented perspective to organizational governance. Policy makers and managers are recommended to integrate harassment-prevention measures into broader cultural change efforts for an impact that lasts. This analysis also has implications for international labor standards in a practical sense, as it offers evidence-based guidance to organizations within different cultural and legal frameworks.
Machine Learning Based Prediction of Burnout in Nurses During the COVID-19 Pandemic Wei Chen Yeu; Na Zu Yin
Safety and Health for Medical Workers Vol. 1 No. 4 (2025): January
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/shmw.v1i4.294

Abstract

Objective: The study looks at what causes nurse burnout and the part played by resilience and the support offered by the organisation in healthcare settings.Methods: A predictive burnout model was developed. This was done using machine learning and structural equation modelling. The aim was to analyse data collected through validated psychometric instruments.Findings: The predominant predictors of burnout have been identified as workload, psychological stress and extended shift duration. Resilience plays a key role as a mediator, helping to understand how these risk factors lead to symptoms of burnout. Organisational support is crucial in this respect, as it has been found to have a buffering effect that significantly reduces the negative impact of job demands. The model that is part of the study gets the results right most of the time when it comes to working out the risk of someone burning out, which shows that using a mix of machine learning and theories is a good idea.Novelty: This research presents a new way of doing things by combining machine learning predictive analytics with well-known psychological theories to create a complete assessment framework for burnout. It provides new information about the way in which the strength of individuals and the support they get from their organisations can influence the process of "burnout".Research Implications: The findings support interventions at two levels: individual resilience training combined with organisational support systems. People who run hospitals should introduce ways to predict and prevent problems, and support programs that look at the psychological needs of workers and the way work is organised. This will help to stop people from becoming exhausted and stressed.
The Social Amplification of Risk: Perceived Threats to Medical Workers in War Zones Shahin Farzaneh; Nasrin Abdul Golshani
Safety and Health for Medical Workers Vol. 1 No. 4 (2025): January
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/shmw.v1i4.295

Abstract

Objective: The objective of this study is to examine the determinants of public perception regarding the safety of medical workers in conflict zones.Methods: We employed a quantitative cross-sectional design, using a structured questionnaire that we distributed to a diverse sample. Regression and moderation analyses were performed on the data to test the hypothesised relationships.Findings: The results demonstrate that the perceived threat to medical workers' safety is significantly influenced by media exposure intensity, belief in international humanitarian law, and public trust in healthcare institutions. Furthermore, political affiliation moderates these relationships. It does so by strengthening the effect of media exposure. At the same time, it weakens the influence of humanitarian law beliefs. The filter used to select media sources also moderates the relationship between public trust and perceived threat. The integrated model sheds light on significant differences in public opinion, highlighting the intricate relationship between information exposure, societal standards, institutional trust, and personal filters.Novelty: This research proffers a pioneering integrated framework that concurrently evaluates the immediate consequences of pivotal determinants and the incidental functions of political affiliation and media source filter. It provides new information about how ideas and thinking affect how people see humanitarian rules in places where there is conflict, and it does this in a new way that is different from the usual ways of thinking.Research Implications: The findings offer crucial theoretical contributions by validating an integrated model of perception formation. In practice, they help humanitarian organisations develop communication strategies that are nuanced and take into account political affiliations and media consumption patterns. The aim is to effectively advocate for the protection of medical workers.
How Does Psychological Capital Buffer Job Stress in Dental Healthcare Workers? Desi Andriyani; Lies Elina Prasetiowati
Safety and Health for Medical Workers Vol. 1 No. 4 (2025): January
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/shmw.v1i4.309

Abstract

Objective: The influence of organisational factors and psychological resources on occupational well-being in dental healthcare is examined in this study. It looks at how work engagement, safety climate and transformational leadership directly impact job burnout, and whether psychological capital strengthens these protective factors. Methods: To measure the key concepts, we used scales that had been shown to be valid. Information was examined via structural equation modelling and hierarchical regression to evaluate direct and moderating impacts, with measurement models confirmed for reliability and validity. Findings: The analysis shows that work engagement, safety climate and transformational leadership can all play a key role in preventing job burnout. Also, good mental health can make these bad relationships much better. Individuals with high levels of psychological capital demonstrate a greater ability to convert supportive work conditions into sustained well-being. Novelty: This research is pioneering because it shows how organisational resources and personal capabilities work together. Psychological capital is established not just as a complementary factor, but as a catalytic resource that optimises the impact of workplace conditions on professional health. Research Implications: The study provides a theoretical advancement by integrating organisational and positive psychology perspectives. Psychological capital is identified as a strategic leverage point for the purpose of practice. This suggests that interventions targeting this resource can maximise the effectiveness of organisational support systems. The result of this is that sustainable professional practice and enhanced care quality are promoted.
Visual-Based Communication Training: Reducing Pediatric Induced Practitioner Stress and Enhancing Clinical Ergonomics Ade Elza Buana; Desi Andriyani
Safety and Health for Medical Workers Vol. 1 No. 4 (2025): January
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/shmw.v1i4.311

Abstract

Objective: Drawing on psychology and cognitive theories, the current study explores visual-based communication training in order to alleviate stress among practitioners provoked by pediatric clinical experiences, and to improve clinical ergonomics. Methods: The research adopted a quantitative, theory-based design using a structured survey and variance-based structural equation modelling to explore the links between visual communication characteristics, practitioner self-efficacy and work-related stress. The project was nested in Cognitive Load Theory, Social Cognitive Theory and the Transactional model of stress and coping to describe how ergonomic communication tools influence practitioner outcomes. Findings: Results indicate that visual language doesn’t significantly reduce the level of work- related stress; but on the other hand, it has an indirect effect which improves practitioners’ self-efficacy. Communication interactivity and narrative depth, closely related to the practitioners' perceived ability of successfully handling pediatric clinical demands are a key factor in stress reduction. Self-efficacy is the major psychological process by which ergonomic communication design leads to well-being at work. Novelty: This research contributes to the ergonomics and occupational health literature by combining visual communication theory with psychological self-regulation mechanisms, while promoting ‘self-efficacy’ as a proximal mediator as opposed to considering the tools of communication as direct interventions on stress modification. Research Implications: These results provide direction for the development of practitioner-focused communication training and ergonomic interventions to enhance occupational well-being and sustained clinical performance.

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