Volume 31, Issue 1 (3-2024)
RJMS 2024, 31(1): 1-10 |
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Research code: 01
Ethics code: IR.IAU.SARI.REC.1403.271
Clinical trials code: 01
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Janbazi M, Ranjbar M, Mohammadizadeh C. Identifying the Dimensions of the Future-Oriented Health System in Universities of Medical Sciences in the First Region. RJMS 2024; 31 (1) :1-10
URL: http://rjms.iums.ac.ir/article-1-8600-en.html
URL: http://rjms.iums.ac.ir/article-1-8600-en.html
Associate Professor, Education Development Center of Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran , manfm43@gmail.com
Abstract: (124 Views)
Background & Aims: A forward-looking health system in universities of medical sciences, based on rapid developments in the fields of science and technology, needs to identify and define new dimensions that can cover future health challenges and needs. Universities of medical sciences should increasingly focus on the development of interdisciplinary knowledge so that students and researchers can address issues with multifaceted approaches. Due to the increasing complexity of health issues and the emergence of new diseases, it is necessary to prioritize the training of specialists who can collaborate with specialists in various fields such as medical engineering, biotechnology, and even social sciences. This allows the health system to deal with complex and multidimensional health challenges with a comprehensive approach. Therefore, the present study aimed to identify the dimensions of the future-oriented health system in the macro medical sciences universities of Region 1.
Methods: The current research was a mixed method (qualitative and quantitative). The statistical population of the qualitative part included the professors of universities of medical sciences in the first region, who are experts in the field of the research subject, 20 of them were identified, and the quantitative part was identified. It included 1851 academic staff members of universities of medical sciences in Region One. In the qualitative part, 10 people were selected using the purposeful sampling method and considering the saturation law, and in the quantitative part, 320 people were selected as a statistical sample based on the stratified random sampling method based on the Cochran formula. To collect data in the qualitative part, semi-structured interviews were used, and in the quantitative part, the prospective health system questionnaire was used from the qualitative part interview with 56 questions in the form of 10 dimensions. To analyze the qualitative data of the research, two stages of open coding and axial coding were used. Therefore, in the first stage, the main dimensions and components were presented based on the process of open and central coding of the data obtained from semi-structured interviews using the Delphi method and the refinement process, conceptual codes were presented and the priority of each factor was based on frequency. The concepts mentioned in the interviews were clarified. In the quantitative part, exploratory factor analysis, confirmatory factor analysis, and structural equation tests were used for data analysis. Data analysis was done using SPSS21 and LISREL software.
Results: The results of the confirmatory factor analysis listed in Table 1 show that: at the 99% confidence level, the t-values for the dimensions of the prospective health system questionnaire are outside the range (2.58, -2.58). Also, the R2 values for all dimensions except the technology and information dimension are strong, so there is a positive and significant relationship between the future-oriented health system variable and all its dimensions. The highest standard coefficient (0.842) is related to the economic and development dimension and the lowest value is related to the technology and information dimension (0.628). The standard coefficient of 0.842 and R2 value equal to 0.709 show that the economic and development dimension has the most impact and predictive power in the model. These results show that attention to economic issues and development in the prospective health system can have a very positive effect on the improvement of the prospective health system. This analysis shows that the economic and development dimension has the greatest impact and predictive power in the model for the future health system, while the technology and information dimension also plays an important role despite having a lesser impact. Paying special attention to the improvement of these dimensions can lead to the overall improvement of the health system and the improvement of the quality of education in universities of medical sciences in the first region.
Conclusion: The conclusion from the identification of various dimensions of the future-oriented health system in medical sciences universities shows that to face complex challenges and rapid changes in the health field, these universities must pay attention to a comprehensive and multidimensional model of development and education in the field of health and treatment. A forward-looking health system in universities of medical sciences needs to identify and expand several dimensions that can respond to the health challenges in today's and future world. Each of these dimensions plays a vital role in creating a new platform for education and healthcare services. The technology and information aspect, as the foundation of the transformation of the health system, focuses on the use of artificial intelligence, big data, complex analysis, and digital health systems. These technologies provide powerful tools for advances in diagnosis, treatment, and data management that increase accuracy and speed in health services. Also, the dimension of prediction and prevention by focusing on the evaluation and prediction of health problems prevents the occurrence and severity of diseases and plays a vital role in the prevention of chronic and emerging diseases. The dimension of health communication and telemedicine enables communication between the patient and the specialist through digital platforms and remote treatment services, which is especially effective in deprived areas and critical situations such as pandemics. Also, the dimension of professional interaction refers to the cooperation between different disciplines and specialties such as medicine, engineering, social sciences, and psychology, and it causes students and medical staff to acquire the ability to comprehensively deal with complex health issues. The financial and economic dimension is another important pillar that covers the provision of resources, budgeting, treatment costs, and justice in access to health services. On the other hand, the social and sociological dimension addresses the effects of social issues and culture in the field of health and emphasizes the development of public health methods and social interactions. The legal and disciplinary dimension deals with the creation and adherence to laws, regulations, and professional standards related to health and ensures that health services are provided within legal frameworks and respecting the rights of individuals. In addition, the ethical and human dimension emphasizes paying attention to moral principles and respecting human and moral values in providing medical services and education.
Methods: The current research was a mixed method (qualitative and quantitative). The statistical population of the qualitative part included the professors of universities of medical sciences in the first region, who are experts in the field of the research subject, 20 of them were identified, and the quantitative part was identified. It included 1851 academic staff members of universities of medical sciences in Region One. In the qualitative part, 10 people were selected using the purposeful sampling method and considering the saturation law, and in the quantitative part, 320 people were selected as a statistical sample based on the stratified random sampling method based on the Cochran formula. To collect data in the qualitative part, semi-structured interviews were used, and in the quantitative part, the prospective health system questionnaire was used from the qualitative part interview with 56 questions in the form of 10 dimensions. To analyze the qualitative data of the research, two stages of open coding and axial coding were used. Therefore, in the first stage, the main dimensions and components were presented based on the process of open and central coding of the data obtained from semi-structured interviews using the Delphi method and the refinement process, conceptual codes were presented and the priority of each factor was based on frequency. The concepts mentioned in the interviews were clarified. In the quantitative part, exploratory factor analysis, confirmatory factor analysis, and structural equation tests were used for data analysis. Data analysis was done using SPSS21 and LISREL software.
Results: The results of the confirmatory factor analysis listed in Table 1 show that: at the 99% confidence level, the t-values for the dimensions of the prospective health system questionnaire are outside the range (2.58, -2.58). Also, the R2 values for all dimensions except the technology and information dimension are strong, so there is a positive and significant relationship between the future-oriented health system variable and all its dimensions. The highest standard coefficient (0.842) is related to the economic and development dimension and the lowest value is related to the technology and information dimension (0.628). The standard coefficient of 0.842 and R2 value equal to 0.709 show that the economic and development dimension has the most impact and predictive power in the model. These results show that attention to economic issues and development in the prospective health system can have a very positive effect on the improvement of the prospective health system. This analysis shows that the economic and development dimension has the greatest impact and predictive power in the model for the future health system, while the technology and information dimension also plays an important role despite having a lesser impact. Paying special attention to the improvement of these dimensions can lead to the overall improvement of the health system and the improvement of the quality of education in universities of medical sciences in the first region.
Conclusion: The conclusion from the identification of various dimensions of the future-oriented health system in medical sciences universities shows that to face complex challenges and rapid changes in the health field, these universities must pay attention to a comprehensive and multidimensional model of development and education in the field of health and treatment. A forward-looking health system in universities of medical sciences needs to identify and expand several dimensions that can respond to the health challenges in today's and future world. Each of these dimensions plays a vital role in creating a new platform for education and healthcare services. The technology and information aspect, as the foundation of the transformation of the health system, focuses on the use of artificial intelligence, big data, complex analysis, and digital health systems. These technologies provide powerful tools for advances in diagnosis, treatment, and data management that increase accuracy and speed in health services. Also, the dimension of prediction and prevention by focusing on the evaluation and prediction of health problems prevents the occurrence and severity of diseases and plays a vital role in the prevention of chronic and emerging diseases. The dimension of health communication and telemedicine enables communication between the patient and the specialist through digital platforms and remote treatment services, which is especially effective in deprived areas and critical situations such as pandemics. Also, the dimension of professional interaction refers to the cooperation between different disciplines and specialties such as medicine, engineering, social sciences, and psychology, and it causes students and medical staff to acquire the ability to comprehensively deal with complex health issues. The financial and economic dimension is another important pillar that covers the provision of resources, budgeting, treatment costs, and justice in access to health services. On the other hand, the social and sociological dimension addresses the effects of social issues and culture in the field of health and emphasizes the development of public health methods and social interactions. The legal and disciplinary dimension deals with the creation and adherence to laws, regulations, and professional standards related to health and ensures that health services are provided within legal frameworks and respecting the rights of individuals. In addition, the ethical and human dimension emphasizes paying attention to moral principles and respecting human and moral values in providing medical services and education.
Type of Study: Research |
Subject:
Clinical Psychiatry
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