Asia-Pacific Journal of Health Management (ACHSM)
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A Review Of Patient Education Strategies In Chronic Conditions, Like Epilepsy And Post-Stroke Care
No full text"Every patient holds a perspective regarding their condition."
Since the inception of nursing within the healthcare sector, patient education has been a vital component. It involves systematic efforts to alter patient behaviour and facilitate improvements in the skills, knowledge, and attitudes essential for maintaining or enhancing health outcomes. Rooted in the Latin term "doctor," which comes from "docere," meaning "to educate," it falls upon every physician to educate patients, their families, and the broader community.
Family physicians play an essential role in spearheading patient education initiatives. By leveraging their position as primary care providers, they foster enduring and trustworthy relationships with patients. This unique bond helps to promote and facilitate shifts in health-related behaviours. Consequently, patient education is a fundamental aspect of residency training for family doctors.
Improving patients' quality of life through structured, regular interactions should be the foremost aim of patient education to optimize outcomes. However, the limited time allocated for each patient visit—usually under five minutes in urban settings and much shorter in public hospitals—indicates that patient education remains significantly inadequate in India. Due to this reduced Turnaround Time (TAT), comprehensive patient education programs are largely unfeasible
Implications of Nurses' COVID-19 Phobias on Patient Safety Culture: A Cross-Sectional study
No full textBackground: COVID-19 phobia in nurses may increase the incidence of negative events that threaten the culture of patient safety. Especially due to the devastating effects of the coronavirus pandemic, there is concern that nurses may engage in practices that may threaten patient safety against a possible pandemic. Therefore, this study aims to examine the relationship and impact of nurses' COVID-19 phobia levels with patient safety culture.
Methods: The study was conducted using a descriptive and cross-sectional design. Data was collected from 165 nurses in Turkey using the descriptive characteristics form, COVID-19 phobia (C19P-S) and patient safety culture scale (PSC-S) between August and November 2022 via online responses.
Results: The mean score of C19P-S of the nurses was 47,85±19,29, and the mean score of PSC-S was determined as 2,75±0,57. There was a significant correlation between psychological and the employee behavior subscales (r=0,174; p<0,05). The impact value of nurses' COVID-19 phobia on patient safety culture was found to be β=,153, p=,050.
Conclusions: Nurses have low COVID-19 phobias and moderate patient safety culture perceptions. A positive and low level significant relationship was found between psychological and employee behavior subscales. There was no significant impact of nurses' COVID-19 phobias on patient safety culture
Facebook Sentiment Analysis on Healthcare of Timor-Leste: Analysing public perception through social media
No full textThis study investigates public sentiment toward healthcare in Timor-Leste using Facebook comments from four pages: the Ministry of Health, Guido Valadares National Hospital, ANTIL, and Jornal Independente.
Data from November 2023 to November 2024 were analyzed using Natural Language Processing (NLP) techniques, including Python’s VADER sentiment analyzer. The study categorized sentiments as positive, neutral, or negative and identified key healthcare themes, such as medicine availability, good healthcare policy, poor healthcare management, and health services.
From the 2,095 comments analyzed, results reveal that positive sentiment dominates at 58.4%, followed by neutral (22.7%) and negative (18.9%). Comments on institutional pages showed predominantly positive sentiments, attributed to posts highlighting achievements and activities. Conversely, news agency posts received more negative sentiments due to coverage of issues like medicine shortages and hospital service criticisms.
The findings demonstrate the significant role of agenda-setting and social media framing in shaping public perceptions of healthcare. This analysis highlights the need for strategic communication and reforms in healthcare delivery to address public concerns. It underscores the importance of using social media as a tool for gathering public feedback and enhancing healthcare policies in Timor-Leste
Post Covid Era and the Influence of Online Healthcare Platforms on the Health-Seeking Behaviour of Adults
No full textNeed & Objectives of the study: Good living conditions include basic shelter, food, and clothing but the aspect of access to quality healthcare has become one of the essentials of livelihood, especially in this post-covid era. The post covid era has also marked the digital evolution where the role of social media is inevitable to a wider range such that it has acquired the position among the social institutions influencing diverse population on all aspects due to its multiple users. This multiplicity of users has demanded the interference of social media in all spheres of life even in the field of health and medicine. It has opened up new ways of access for sharing information and social support, due to increased connectivity and direct participation bringing changes in the illness behavior.
Methodology: The study tries to understand the influence of online healthcare platforms on health health-seeking behavior of young adults in contemporary society by adopting a quantitative methodology with self-structured questionnaire for data collection.
Results: The study results state that online healthcare services have developed a new platform of interaction between the doctor and the patient resulting in the evolution of traditional health-seeking behaviour. It also infers that health-seeking behavior is dynamically aligned with modernity.
Determination of the State of Operating Room Efficiency in a Tertiary Hospital in the Philippines
No full textObjective: This study aimed to describe the status of operating room (OR) efficiency of a tertiary hospital in the Philippines according to time-based parameters, identify the direct causes of delays in the OR, and predict the change in number of patients served and OR income if utilization rates improve.
Design and Setting: A cross-sectional study employing a retrospective records review of all elective surgical cases from June 2023 to June 2024 was done at a tertiary hospital in Pasig City, Philippines.
Main Outcome Measures: The study determined the means of the different OR efficiency parameters, the causes of delays, the relationship between the changes in utilization rate and number of patients served, and the relationship between the changes in the number of patients served and the gross income.
Results: The means of the arrival of first case lag time, anesthesia induction lag time and turnover time did not reach target, while the means of the procedure lag time, trans-out lag time and utilization rate were optimal. Among the different causes of delay, those related to the surgeon predominated. The relationship between the change in utilization rate and change in the number of patients served was not significant. Likewise, there was no significant relationship between the change in the number of patients served and the change in gross income.
Conclusion: While the means of the arrival of first case lag time, anesthesia induction lag time and turnover time were beyond target mainly due to surgeon-related factors, the utilization rate of the functioning operating rooms was optimal. Hence, the current number of functioning operating rooms may no longer be enough to address the existing backlog of cases. Increasing the number of functioning operating rooms may be considered
Bibliometric Mapping of Artificial Intelligence Applications in Healthcare: A ScienceDirect and Scopus-Based Analysis : - Confab 360 Degree Annual Conference in Dubai, 2025
No full textBackground: Artificial Intelligence (AI) makes the healthcare industry modern and responsive by enhancing diagnosis, description, and planning for treatment. Machine learning and deep learning algorithms have made it possible to automate diagnosis, improve the quality of images, and make medicine more personalized. But there are still ethical and privacy issues to think about.
Objective: This study performs a bibliometric analysis to map key trends, thematic clusters, and author collaborations in AI in healthcare using ScienceDirect and Scopus-indexed literature published between January 2021 and August 2025.
Methodology: A systematic review was performed for ScienceDirect with the keywords Artificial Intelligence in Healthcare or AI in Medicine to retrieve research papers. The growth in publications, productive authors, top-cited research articles, resources, and authors’ collaboration publications in AI in healthcare for keyword network analysis figures using bibliometric analysis(specifically using the Bibliometrix Shiny dashboard) were identified.
Key Findings / Results: The number of AI publications in the healthcare and medical fields has grown quickly each year with an average growth rate of 62.66% from 2021 to 2024. Yogesh K. Dwivedi, A.S. Albahri, Patrick Mikalef, Rajesh Gupta, and Suddeep Tanwar are the most productive authors identified in this study. A paper by Chanyuan Zhang is one of the most cited manuscripts. It has 2,293 authors and 2,442 author appearances. The keyword co-occurrence network helps find patterns and research trends in this field. Central keywords show well-established research areas, while peripheral nodes show new or niche topics. The network reporting shows that AI in healthcare is a field of study that brings together different areas of research, such as diagnostics, data analytics, medical informatics, and patient monitoring.
Conclusion / Implications: By applying bibliometric analysis to the literature identified from ScienceDirect, this study offers valuable insights into emerging trends, thematic patterns, and strategic directions in the field of AI in healthcare. ScienceDirect was selected due to its high-quality peer-reviewed content, institutional access rights, and strong emphasis on technology and applied sciences. However, relying solely on one database is a limitation, as it may not fully represent the breadth of influential research in this area. Future studies should consider incorporating additional databases such as Scopus, Web of Science, and PubMed to improve the comprehensiveness, representativeness, and generalizability of the results. Further research could also examine the integration of AI and the Internet of Things (IoT) in clinical healthcare settings to enable intelligent diagnostics, personalized treatment, and better patient outcomes
Adaptive Leaders Building Collective Adaptive Capacity and Capabilities
No full textAdaptive leadership is a relational and systemic approach to leading that emphasises continuous capacity to sense, interpret and respond to evolving challenges within complex and uncertain environments. Adaptive leading goes beyond individual flexibility by fostering a dynamic interplay between leaders, followers and within organisational contexts. It provides an opportunity for enabling collective problem solving and resilience. Adaptive leaders do not merely adjust their own behaviours; they mobilise people to confront difficult realities; experiment with new ways of working; and co-create innovative responses. This approach of leadership is grounded in principles of reflection, collaboration and shared responsibility. It can cultivate an environment where both individuals and organisations can learn, develop and perform amid ongoing change [1, 2]. Adaptive leadership is an important capability given the reactions required to the changing actions and demands on health organisations and systems....
Measuring System Performance or Just Counting: A conceptual analysis
No full textPurpose – The paper explores the concept of performance measurement and identifies that when measurement information does not inform about the performance of the system, it is not used and the effort becomes wasteful. Strategies to make performance measurement and reporting more meaningful are identified.
Design/methodology/approach – The paper explores concepts and relevant and selected literature to understand the measurement of performance and how to make it meaningful. Some strategies to make measurement and reporting of performance meaningful are suggested.
Findings – The process of collection and use of performance measures is resource-intensive. If this information is then not used appropriately and fully, it can become a considerable waste.
Healthcare system performance measurement is complex. These complexities include the fact that outputs or deliverables may not be able to inform the strategic objectives. The package of care has to be customised to the needs of the consumer, and therefore, measures of effectiveness are difficult to pre-determine. Morevore, measures are often interrelated, and one measure by itself may not inform about the performance of the system.
Research limitations/implications – Complex systems have many variables that are interdependent. Even though this conceptual paper explores the measurement of system performance, it has to be acknowledged that specific interdependencies between performance variables for each complex system have to be understood to determine the relevance of measures of performance for each specific system.
Practical implications – The paper describes ways in which performance measurement information can be reported to make it more meaningful and value-adding for the organisation.
Visualisation of measures of performance should be customised for specific stakeholders to retain their interest. However, it must also be acknowledged that visualisation without an opportunity for analysis makes visualisation non-value-adding
A Cross-sectional Study on Stress and Burnout among the AYUSH Doctors in an Eastern Indian State during the COVID Pandemic
No full textBackground: Health care workers were at the forefront of the COVID battle. They experienced professional burnout due to long working hours in hospitals, being away from their families, the fear of getting infected and transmitting the infection to family members, and social stigma in society.
Objective: The main objective of this study was to assess the stress and burnout experienced by AYUSH doctors during the COVID-19 pandemic in Odisha.
Methods: A concurrent mixed-methods cross-sectional study design was adopted for this study. A Google form was used to gather responses from 56 AYUSH doctors using the Copenhagen Burnout Inventory (CBI), preceded by in-depth interviews with 11 participants. Descriptive statistics and two-way ANOVA analyses were applied to the quantitative data, while thematic analysis was conducted for the qualitative data.
Results: The in-depth interviews with AYUSH doctors revealed that 63.63% of the participants felt physically and mentally exhausted and susceptible to weakness and illness, including fear of infection; 45.45% felt frustrated; and 18.18% of respondents expressed irritation, stating that they could not endure the situation any longer and felt they were giving much while not receiving what they expected in return. Similarly, the online survey indicated that the mean (±SD) scores of personal, work-related, and COVID patient-related burnout were 49.55 (±25.51), 41.45 (±33.15), and 43.22 (±35.72), respectively. Although the average personal burnout was higher than work-related and patient care-related burnout, the difference was not statistically significant at p=0.5 when tested using two-way ANOVA.
Conclusion: The AYUSH doctors experienced stress and burnout during the pandemic; however, most felt that this was part of their job and continued to provide services during the pandemic
The Impact of Opening a Private Hospital Emergency Department on the Hospital and Patient Characteristics
No full textIntroduction: Australian public hospital emergency departments (EDs) are under increasing pressure with higher patient volumes, failure to meet triage target times and increased ambulance wait times. Further, there is limited literature exploring how the opening of an ED affects Australian hospitals. This study focuses on Hollywood Private Hospital (HPH), a large private hospital in Western Australian which opened their ED in November 2021. The research aimed to examine how the introduction of the ED influenced the hospital’s service demands and resourcing.
Method: This study investigated hospital inpatient characteristics including admissions, clinical deterioration episodes, deaths, after-hours theatre activity and companion care hours. The investigation compared the periods 01 January to 30 June 2021 (2021) and 01 January to 30 June 2022 (2022) to identify differences pre and post the ED opening.
Results: Overall, the number of inpatient admissions was similar from 2021 to 2022 (31,061 and 31,706 respectively). However, there was a statistically significant change in the admission type with a decrease in elective admissions (925.2 in 2021 and 880.4 in 2022 (p<.001)) and an increase in emergency admissions (67.4 in 2021 and 111.1 in 2022 (p<.001)). A significantly higher incidence rate of rapid response calls was reported in 2022 compared to 2021 (p=.043), nonetheless there was no difference in the incidence rates of cardiac arrest (p=.445), code blacks (p=.600) or patient deaths (p=.880). From 2021 to 2022 there was an increase in both after-hours theatre procedures (6.6% to 9.0%; χ2=50.9 p<.001) and median companion care hours (Md = 32.5 to Md=56.3; U=2.3, p=.021).
Implications: The opening of the HPH ED resulted in increased after-hours and emergency related admissions with a co-occurring increase on companion hours. These impacts necessitate significant resourcing investment such as revised staffing models and rosters, additional recruitment, and change management