Asia-Pacific Journal of Health Management (ACHSM)
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Performance of Health Officers And Family Support in Motivating For The Utilization of Integrated Non-Communicable Diseases (Posbindu PTM)
Integrated services for noncommunicable diseases (NCDs) are important public health services for the management and prevention of NCDs. However, lack of motivation to use these services remains a challenge. Factors such as health worker performance and family support may be associated with this problem. Therefore, this study aimed to examine the association of these factors with motivation to use integrated NCDs services (Posbindu PTM).
This study used an analytical survey with cross-sectional design, which included 380 samples from the general community around the working area of a Benteng public health centre, Palopo city, South Sulawesi, Indonesia. Sampling was selected using a purposive sampling technique. Data were analysed using chi-squared and multiple logistic regression tests.
The results show that there was an association between family support (p<0.001) and health officer performance (p<0.001) with motivation to use integrated NCDs services. In addition, health officer performance was the most influential factor in relation to motivation (Exp(B)=18.209, p<0.001). Motivation to use integrated NCDs services was more influenced by health officer performance. Health officers should sustainably improve their performance by focusing on service quality aspects related to integrated NCDs services
Organisational Commitment Among Nurses: A qualitative study
Objective: To describe the perceptions and experiences related to the organisational commitment of nurses working in healthcare institutions across different regions of Brazil.
Design: Descriptive qualitative study.
Setting: Registered nurses working in Brazilian healthcare institutions.
Methods: An online data collection tool was used. A total of 55 registered nurses participated in the study. Data were collected from July 15, 2023, to September 20, 2023. A thematic analysis was conducted.
Results: Data were organised into four themes: reasons to stay in the organisation, feelings towards the organisation, factors that promote organisational commitment, and factors that hinder organisational commitment. A total of 14 subthemes were identified.
Conclusions: The study sheds light on the indispensable significance of leadership styles and strategic formulations in improving working conditions, thus driving organisational commitment among nurses. Healthcare institutions could implement pilot projects to strengthen the leadership skills of nurse managers, systematically assessing their influence on workplace satisfaction and commitment
The Impact of Competence And Compensation on the Performance of Infection Prevention And Control Committee Members with A Particular Focus on The Mediating Role of Compensation
Introduction: The performance of Infection Prevention and Control (IPC) Committee members plays a critical role in ensuring effective healthcare safety protocols. Understanding how competence and compensation influence this performance, with particular attention to the mediating role of compensation, is essential for optimizing healthcare systems and improving outcomes. This study aimed to analyze the effect of competence and compensation on the performance of IPC committee members.
Methods: This study was conducted at the Regional General Hospital under the Southeast Sulawesi Provincial Health Office, Indonesia. A sample size of 212 members was determined based on geographical clusters. The data were then analyzed using the PLS-SEM technique.
Results: The path coefficient for the effect of competence on employee performance is 0.508, with a p-value of 0.000, which is statistically significant. The effect of compensation on employee performance is indicated by a coefficient value of 0.361, with a p-value of 0.000. Additionally, the coefficient value for the mediation effect of compensation between competence and employee performance is 0.242, with a p-value of 0.000.
Conclusion: This study found that competence and compensation significantly and positively affect the performance of members of the Southeast Sulawesi IPC Committee
Economic Evaluation of Telemedicine Services Provided at Satellite Centre for Tribal Health and Research, Abu Road Sirohi Rajasthan India
Background: Assessing health technology is a vital tool for determining whether interventions should be continued or stopped. Delivering efficient medical services in remote tribal, hilly regions demands careful planning to maximize limited resources. To identify the effectiveness of telemedicine centres, we conducted an economic evaluation of telemedicine services in term of avoidance of patient transportation costs.
Methods: A qualitative telemedicine evaluation was conducted through in-depth interviews with patients and hospital authorities, as well as focused group discussions with medical officers and paramedical staff. By analyzing direct and indirect costs, including setup, operations, and patient-related expenses, as well as patient satisfaction levels, the study provides insights into the sustainability of telemedicine in resource-constrained settings.
Main Outcome Measures: Cost-effectiveness of telemedicine services, Reduction in patient transportation expenses, financial sustainability of telemedicine centres, and Patient satisfaction and healthcare accessibility.
Results: The analysis reveals that telemedicine can significantly reduce patient transportation costs, making healthcare more accessible and affordable, particularly for underserved populations in tribal and hilly regions. The study also highlights substantial operating costs driven by staff salaries and emphasizes the importance of efficient budget planning and resource allocation.
Conclusions: The findings underscore the potential of telemedicine to promote health equity by reducing disparities and improving health outcomes. To fully understand the impact of telemedicine services, a comprehensive economic evaluation considering patient outcomes, quality of care, and long-term cost savings is recommended
Knowledge, Barriers, And Management Implications of Maintaining Hospital Information System (His) Among Staff Nurses In Uttar Pradesh, India
Background: Hospital Information System (HIS) play a critical role in enhancing hospital management by providing timely access to patient data, supporting clinical decision- making and streamlining administrative tasks. Despite its significance, effective utilization of HIS by nursing personnel remains inconsistent.
Aim: To assess the knowledge, to find out the barriers regarding Hospital Information System (HIS) among the staff nurses and to find out the association between the barriers faced by staff nurses in maintaining Hospital Information System (HIS) with their selected demographic variables in a selected hospital of Uttar Pradesh.
Method: A quantitative research approach was adopted for the study with cross sectional research design was conducted in selected hospital of Uttar Pradesh, India. The study was conducted among 250 staff nurses. A structured knowledge questionnaire was used to assess the knowledge of staff nurses and structured rating scale was used to find out the barriers among staff nurses.
Result: The findings revealed that 59.6% of staff nurses had adequate knowledge about HIS. Regarding barriers, 66.8% experienced moderate barriers, 17.6% experienced major barriers, and 15.6% experienced mild barriers and significant associations were found between barriers and any training attended related to HIS use (p=0.007) and any special training attended related to computer use (p=0.007), whereas with other demographic variables, no significant association was shown.
Conclusion: The study concluded that a large proportion of staff nurses had inadequate knowledge and faced barriers in maintaining Hospital Information System (HIS). These findings have practical and policy implications for hospital administrators, highlighting the need for structured and continuous HIS training programs, supportive policies, and adequate resource allocation to ensure effective and sustainable system use
Adoption of the “Enova Santé” Hospital Information System by Head Nurses in Souss Massa, Morocco
The integration of information technologies in the healthcare sector aims to enhance the quality of care, service efficiency, and clinical data management. Within this framework, hospitals in the Souss Massa region (Morocco) have deployed the hospital information system “ENOVA Santé”. Although the perceived benefits of this system are recognized, its adoption remains closely linked to the users’ involvement, particularly head nurses, whose role is essential in the deployment, appropriation, and dissemination of this technology within the nursing community. The present study examines the factors influencing the adoption of the “ENOVA Santé” by head nurses in hospitals in the Souss Massa region (Morocco).
A quantitative explanatory design was employed, using a hypothetico-deductive approach based on the UTAUT model. Data were collected through a questionnaire completed by 81 participants and analyzed using the PLS-SEM method via SmartPLS 4 software.
Statistical analysis revealed that effort expectancy and social influence have a positive and significant effect on the intention to adopt ENOVA Santé, which in turn significantly influences the actual adoption of the system. In contrast, performance expectancy and facilitating conditions showed no significant relationship with adoption.
These findings highlight the need to implement targeted strategies, including strengthening user engagement, mobilizing opinion leaders, maintaining strong organizational support, and improving the system's usability and security. While this research is limited to the local context studied, it paves the way for future research at a broader geographical scale and among more diverse populations
The Implementation of Good Hospital Governance on The Professional Performance of Nurses
Bureaucratic reform in Indonesia is a renewal effort to realize a good governance system as a specific practice model that supports nurses' empowerment and decision-making to influence policy, thus affecting their performance. The purpose of this study was to analyze the effect of hospital good governance implementation (i.e., participation, responsiveness, accountability) on the performance of nurses in RSUD Daya Makassar City, Indonesia. This type of research uses a quantitative analytical survey with cross-sectional approach. A total of 101 nurses were sampled with a total sampling method for this study. Data collection was through questionnaires. Chi-square and multiple logistic regression were used for data analysis. There was a relationship between participation (p = 0.025), responsiveness (p = 0.003) and accountability (p = 0.002) with nurses' performance. Multiple logistic regression analysis showed that accountability had the strongest influence (Exp (B) = 77.634, p = 0.006). This study concludes that in implementing good hospital governance, accountability is more effective in improving nurse performance. Nurses should be more accountable in their performance in caring for patients
Evaluation of Competence Levels of Healthcare Management Graduates by Employers
The competencies and skills that healthcare management graduates must have been constantly updated due to the dynamism of the healthcare industry. Understanding employers' perspectives on graduates' professional competencies, which provide employment opportunities for healthcare management graduates, can provide valuable insights to both universities and students. The aim of this study is to determine how the professional competency levels of healthcare management graduates are evaluated by employers, to identify the key attributes sought in graduates. Semi-structured face-to-face interviews were conducted with 10 participants identified using criterion sampling method. The research group consisted of human resources managers working in private hospitals. A qualitative research method was employed in the study, and analysis of the data revealed 5 themes. The findings can provide guidance for curriculum updates in universities and employment processes in hospitals
Leadership And Management for The New Era of Public Healthcare in Singapore: A qualitative study of senior healthcare leaders
Background: Singapore's public healthcare system is undergoing significant transformation through the 'Healthier SG' initiative. Effective leadership is crucial to successfully manage this strategic shift and ensure the continued success of the public healthcare model.
Methods: A qualitative study was conducted with senior leaders in Singapore's public healthcare sector to identify the key qualities required in future leaders and the necessary environment for nurturing them. In-depth individual interviews (n=46) and online open-ended questionnaires (n=11) were administered, and responses were analysed using thematic analysis.
Results: Four key leadership qualities were identified: (i) systems-based thinking to balance competing priorities across the healthcare system, (ii) a long-term perspective with cross-industry experience to understand health within a broader sociological context, (iii) personal integrity, honesty, and authenticity aligned with public service values, and (iv) strong communication and collaboration skills to foster a shared vision.
The study also highlighted four essential environmental factors to cultivate future leaders: (i) a healthcare system that embraces learning, innovation, and failure as part of growth, (ii) opportunities for cross-functional rotation and networking, (iii) a mature talent management system with robust succession planning and senior leaders as role models, and (iv) a focus on people management and talent potential over seniority in leadership selection.
Conclusion: As Singapore transforms its healthcare system with a focus on population health, developing capable leaders is essential for achieving long-term strategic goals. This study provides insights for policymakers, senior healthcare leaders, and HR planners to identify and foster talent, creating an environment where future healthcare leaders can thrive
A Decision Model Based on Artificial Intelligence for Disease Prediction And Patient Treatment Process Planning
Purpose: The aim of this study is to determine which patients are at risk of lung cancer with a sample of 1000 people living in China and a data set consisting of 20 variables. In this direction, it is aimed to take preventive measures for individuals at risk of developing lung cancer, to protect human health, and to contribute to the effective and efficient use of resources. In this way, the model developed in the planning of preventive and therapeutic activities of professionals working in the health sector will be exemplary as a decision model.
Methodology: A linear regression model was developed and applied to predict individuals at high risk of developing lung cancer using machine learning on the Microsoft Azure Machine Learning Studio platform.
Findings: Lung cancer risk of the patients in the sample was predicted with the machine learning application. It was determined that these predictions made with machine learning gave an effective result and provided efficient policies. The developed model and application example is proposed as a modern, valid and artificial intelligence-based decision-making model for professionals.
Originality: There are few statistical analysis and machine learning applications for lung cancer prediction in the literature. In this paper, in addition to the prediction model, statistical analyses will be performed, preventive measures will be proposed, and the scope of the analyses will be made holistic by linking it to efficiency in resource utilization. As a result, this will enable professionals to make optimal decisions