Asia-Pacific Journal of Health Management (ACHSM)
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Student-Driven Research Acumen in Healthcare Management Education from Classroom to Contribution: Narrative review of cross-sectional study
No full textBackground: Research holds paramount importance in healthcare management within academic settings, playing a pivotal role in enhancing patient outcomes, innovating treatments and technologies, as well as advancing medical understanding.
Objective: The objective of the study includes an overall understanding of research acumen among healthcare management students and the importance of research knowledge translation for practical applications.
Methodology: The study employed a cross-sectional design, comprising a comprehensive review of the literature, data extraction, and synthesis of 17 published papers on research literacy, healthcare management, and the integration of research in academic settings. Additionally, Primary Data was collected from 120 postgraduate students on their research acumen, interest, barriers, and facilitators of conducting research in the academic.
Results: During postgraduate studies, 70.2% did not receive any formal training or coursework related to research methods and techniques. Skill development training was viewed as a preferred facilitator, while the lack of knowledge on how to get started was identified as the primary obstacle, among all other barriers.
Conclusion: This study contributes to the discourse surrounding the critical role of research in shaping the future of healthcare management
Are Medıcal Students Famılıar Wıth Patıent Safety Culture? A Cross-Sectıonal Study in Turkey
No full textBackground: Patient safety is a key indicator of healthcare quality. The purpose of this study is to evaluate the attitudes of medical students towards patient safety culture.
Methods: The population of the study, which was designed as descriptive and cross-sectional, consisted of 369 fourth-, fifth-, and sixth-year students studying at Karabük University Faculty of Medicine, while the sample consisted of 264 students who volunteered to participate in the study. Data were collected using a descriptive information form and the Medical Faculty Students' Attitude Scale Towards Patient Safety Culture. Data were analyzed using descriptive statistics and SPSS.
Results: Most of the students stated that they did not receive any training regarding patient safety. It was determined that the sub-dimensions with the highest mean scores regarding the patient safety culture attitude of medical faculty students were working hours (87.98(±17.64)) and teamwork (83.74(±13.69)) as the cause of error. It was also found that the lowest mean score was in the sub-dimension (31.33(±22.77)) related to those who saw professional incompetence as the reason for the mistake. In addition, it was found that students had positive attitudes regarding the sub-dimensions of working hours, teamwork, the role of the patient in the error, and the importance of patient safety in the curriculum as reasons for errors.
Conclusıon: Providing patient safety culture training to medical students before and during clinical practice, improving physicians’ working hours, promoting teamwork, and involving patients in the care process may positively influence students’ attitudes toward patient safety culture
Who Is Against COVID-19 Vaccination and Why? The Perspective of Opponents of the COVID-19Vaccination in An Iranian Context: A qualitative study
No full textObjective: This study was conducted in Iran to explore the hesitancy of COVID-19vaccinations from the perspective of opponents of the COVID-19vaccination in Iranian society.
Design: Qualitative design, using the conventional content analysis approach, has been used to collect and analyze data. 29 in-depth and semi-structured interviews were conducted with those individuals who held a stance against receiving the COVID-19vaccine. Participants were selected using purposive sampling. The data analysis process was based on the Landman and Grenheim method with the aid of MAXQDA (20) software. In addition, Lincoln and Guba's criteria were followed to ensure the trustworthiness of the study findings.
Setting: The study was conducted in Tehran, Iran, from April 2022 to March 2023.
Results: During the data analysis,16 sub-categories were formed from 1273 codes and after merging similar sub-categories in terms of similarities, 7 main categories including (a."Distrust", b."Beliefs", c."Emotions", d."Ambiguity", e."Alternative ways", f."Attention to people's freedom of choice", and g."The impact of politics on health") were extracted. These categories cover and reflect the participants' experiences of the phenomenon of opposition to COVID-19vaccination.
Conclusion: To promote vaccine acceptance, comprehensive and accurate information, trust in healthcare, proper information management, effective vaccine selection methods, and guidance from successful experiences should be implemented
Corruption in Healthcare Procurement During the COVID-19 Pandemic: Identifying determinants and proposing comprehensive anti-corruption strategies
No full textIntroduction: The COVID-19 pandemic has exposed and exacerbated existing vulnerabilities in global healthcare systems, particularly regarding corruption in supply chain management. This research aims to identify corruption's factors and effective counterstrategies.
Methods: In 2024, A comprehensive scoping review was conducted following Arksey and O'Malley's guidelines. The search involved major databases (Web of Science, PubMed and Scopus) as well as a manual search of literature and reports. A two-reviewer screening process applied inclusion and exclusion criteria to all citations. Data were extracted using a standardized form and presented in a tabular format before undergoing qualitative content analysis. This qualitative content analysis identified key factors contributing to corruption and proposed effective anti-corruption strategies
Results: Corruption in healthcare supply chains arises from various factors, including structural, political, governance, sociocultural, technological, and human resource factors. Suggested counterstrategies included Procurement and Supply Chain Measures, Transparency and Accountability Mechanisms, Regulatory and Legislative Measures, Capacity Building and Coordination, and Civic Engagement and Oversight.
Conclusion: A multidimensional, comprehensive approach is needed across all health systems to fight corruption. Implementing suggested strategies will augment public trust in healthcare institutions and safeguard public health against future crises. Findings provide policymakers and managers a roadmap
Determinants Influencing Turnover Intention Among Doctors in East Nusa Tenggara, Indonesia
No full textObjective: High turnover intention among rural doctors disrupts healthcare services and increases organizational costs associated with recruitment and training. This research aims to investigate doctors’ turnover intentions and analyse the associated factors that influence them in East Nusa Tenggara (ENT), a remote region in Indonesia.
Design: Doctors’ turnover intentions at a single point of time were measured quantitatively with cross-sectional approach. Data were collected through a structured questionnaire comprising 120 questions, designed to measure turnover intention as the key variable and its related factors. The responses from the questionnaire will be analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), a statistical technique that allows for the examination of complex relationships between multiple variables and their direct or indirect effects on turnover intention.
Setting: This study was conducted in ENT, Indonesia, where 13 of 21 regencies are classified as "3T" (In Indonesian: Terdepan, Tertinggal, Terluar; means: frontier, underdeveloped, outermost). Limited healthcare facilities and professionals hinder service access. Challenges, including poor infrastructure, often lead to doctors’ resignation, disrupting healthcare delivery in these remote regions.
Results: Data were collected from 202 general practitioners and specialists in East Nusa Tenggara (ENT) through an online survey. Among the participants, 45.54% expressed an intention to resign. The results indicate that working engagement, pay satisfaction, opportunities for learning and development, work-life balance, and personal accomplishment influence turnover intention through job satisfaction as a mediating variable. Additionally, burnout was found to directly affect turnover intention.
Conclusion: This study highlights the importance of targeted interventions—ensuring fair pay, growth opportunities, balanced workloads, and supportive work environments—along with addressing burnout to reduce doctor turnover in East Nusa Tenggara (ENT). By identifying key turnover factors, it offers valuable insights for policymakers and hospital management to develop effective retention strategies, ensuring sustainable, high-quality healthcare in ENT
Improving Health Seeking Behaviour for Non-Communicable Diseases in Sri Lanka through Health Promotion Interventions
No full textObjective: We piloted evidence-based health promotion interventions to increase health seeking behaviour (HSB), as measured primarily by utilization of Healthy Lifestyle Centers (HLC). HLCs were introduced in Sri Lanka to increase screening of Non-Communicable Diseases (NCDs), but utilization has not met the pre-defined targets.
Design: This case-control study involved: development and validation of a contextually adapted tool to assess HSB; examination of HSB for selected NCDs; co-design and delivery of interventions to promote HSB; and evaluation of how these interventions impacted proxy measures of HSB, such as HLC utilization. The HSB tool was developed based on the Health Belief Model (HBM) and validated by local experts. HSB was assessed using a survey involving 850 participants selected using multi-stage cluster sampling. Community-based and health-system interventions were developed through four focus group discussions (FGD). The impact evaluation was completed in study and control areas, with 85 individuals from each area selected through cluster-sampling.
Setting: The intervention setting was the Kekanadura Medical Officer of Health (MOH) area and the control was Akuressa MOH area in Matara District, Sri Lanka
Main outcome measures: Pre-post survey results regarding HBM constructs, and awareness and utilization of HLCs, were conceptualised as proxy indicators of changes to HSB.
Results: Initially, only 46.5% of survey participants were aware of HLCs, 30.1% had ever visited a HLC and, of those, only 40.2% (n=102) were satisfied with HLC services. FGDs revealed lack of awareness, personal and service-related factors as common reasons for limited HLC utilization. Significant post-interventional improvements were identified regarding HLC utilization, but and self-reported improvements to HBM constructs were not statistically significant.
Conclusions: The structured, rigorous approach used in this study can be replicated in other resource-constrained settings to improve HSB, strengthen the identification and management of NCDs and, in this way, reduce demand for curative services
Artificial Intelligence in Hospital Procurement: Advancing supply chain resilience and efficiency in Singapore: - Confab 360 Degree Annual Conference in Dubai, 2025
No full textThe COVID-19 pandemic exposed critical vulnerabilities in hospital supply chains across the Asia-Pacific region, emphasizing the need for more resilient and agile procurement systems. This study examines how artificial intelligence (AI) is being leveraged to optimize hospital procurement processes in Singapore, a country known for its advanced digital infrastructure and strong public health governance. Using a qualitative research approach based on secondary data, literature analysis, and relevant case studies, the paper explores the application of AI technologies such as predictive analytics, demand forecasting, and supplier risk assessment in Singapore’s healthcare procurement ecosystem. The findings reveal that AI integration has improved procurement responsiveness, minimized supply chain disruptions, and enhanced crisis preparedness. A conceptual model is proposed to illustrate how AI supports both operational efficiency and supply chain resilience within resource-optimized yet high-demand health systems. The study also identifies regulatory, workforce, and organizational challenges that influence the pace of AI adoption. The insights from this research offer practical guidance for policymakers, hospital administrators, and supply chain professionals seeking to strengthen procurement systems through AI-driven strategies in digitally mature healthcare environments
Nexus Between Health Determinants and Health Outcomes: A comparative global analysis
No full textThe present study examines the nexus between healthcare determinants and health outcomes of different income group countries. For this, the study uses the Feasible Generalized Least Square (FGLS) model on a panel of 143 countries spanning from 2000 to 2019. The findings suggest that total health expenditure and GDP per capita significantly improve health outcomes by reducing infant mortality and increasing life expectancy in all income groups and in all geographic regions. Further, socioeconomic determinants like urbanisation and sanitation significantly contribute in the improvement of health status. Therefore, our results suggest that government health expenditures have to increase to enhance the health outcomes of different countries. At the same time, the policymakers have to focus to increase the income level of the people in order to enhance the health outcomes of the countries
Development of the BMSU Accreditation Model with the Approach of the Wisdom-Based University
No full textObjective: This study aims to develop an accreditation model for Baqiyatallah University of Medical Sciences, employing a wisdom-based university approach through a mixed exploratory method (qualitative-quantitative).
Methods: A mixed exploratory design was used in this study. In the qualitative phase, data were collected via semi-structured interviews with 16 experts and analyzed using MAXQDA software. The quantitative phase involved a descriptive-analytical survey-correlation design, analyzing data with LISREL software. The statistical population included academic staff and officials from Baqiyatallah University and experts from wisdom-based universities, with a sample size of 305 participants. A researcher-developed questionnaire, validated for content (CVR and CVI), face validity, and construct validity (confirmatory factor analysis), was implemented. The questionnaire comprised 7 categories and 35 items, achieving a reliability score of 0.80 via Cronbach's alpha.
Results: Inferential data analysis confirmed the model's fit through structural equation modelling. The validation results indicated significant paths and model strength, leading to the recognition of the proposed accreditation model as suitable.
Conclusion: The accreditation model for Baqiyatallah University of Medical Sciences encompasses seven areas: 1) Strategies and Mission; 2) Faculty Members; 3) Executive Management; 4) Social Accountability; 5) Educational and Content Environment; 6) Assessment for Learning; and 7) Education and Research Process. It includes 22 main measures and 91 sub-measures. A wisdom-based university is characterized by integrating science, experience, reason, philosophy, imagination, and revelation into its curriculum, emphasizing practical learning, social service, teamwork, and the cultivation of national self-confidence among students and staff
The Effects of Beliefs and Health Literacy on Medication Use in Culturally And Linguistically Diverse Populations: A literature review
No full textSocial and individual factors (beliefs, and health literacy) play a crucial role in health promotion and disease prevention among older culturally and linguistically diverse (CALD) populations. This review examines the recent publications regarding the impact of health beliefs, and health literacy on patients' medication use involving adherence, polypharmacy, and potentially inappropriate medications (PIMs) in older CALD population.
Databases were systemically searched for articles published from inception to January 2025. Thirteen research articles on beliefs and medication use (randomized control trials [n=1], cross-sectional [n=6], observational [n=1], qualitative [n=2], or unknown [n=3]) were obtained from databases. Ten research articles (observational [n=2], cross-sectional [n=2], interview [n=5], randomized control trials [n=1]) were retrieved for health literacy and medication use. Findings were categorized into four themes: (1) beliefs and health promotion and disease prevention, (2) beliefs and medication adherence, (3) beliefs and polypharmacy, and PIM, and (4) health literacy and medication use.
Results highlighted that beliefs and health literacy often negatively influenced medication use and health outcomes. While these findings, were specific to groups like Mexican Americans, African Americans, Indian Americans, and British Bangladeshis, the results emphasize the need for research into the influence of health beliefs, and health literacy on medication use in other older CALD populations. Future studies should address these gaps to develop culturally sensitive, interventions, and support mechanisms