Showing 7 results for Barriers
M Hosseini, M As’adi,
Volume 13, Issue 1 (6-2014)
Abstract
Abstract
Background: Conducting further research on medical tourism as a lucrative business is required. Very little research has been conducted into medical tourism barriers and a large amount of them just note structural barriers. This study is aimed to identify the most important communicational barriers of medical tourism and provide and examine a model of such barriers considering medical tourism`s intercultural nature.
Materials & Methods: This study is applied by purpose and survey by method. The three stages in completion of this study are : 1) Identifying the most important communicational barriers of medical tourism in Iran,2) designing a model of identified barriers by using interpretive structural modeling approach 3) examining the designed model in a sample of 300 individuals.
Results: Correlation test indicates a positive and significant relationship between variables in less than 0.01 significant level. Regression analysis confirms that all independent variables are significant predictor of the dependent variables .Therefore all hypotheses are confirmed.
Conclusion: This survey identified main medical tourism communicational barriers in Iran as: Lack of understanding, Perceived linguistic difference, Lack of trust, Perceived cultural difference, Prejudice, Stereotyping. Overcoming to Lack of understanding as the major obstacle has a dramatic effect on operating medical tourism.
Keywords: Communicational Barriers, Medical Tourism
M Hosseini, M As’adi,
Volume 13, Issue 1 (6-2014)
Abstract
Background: Conducting further research on medical tourism as a lucrative business is required. Very little research has been conducted into medical tourism barriers and a large amount of them just note structural barriers. This study is aimed to identify the most important communicational barriers of medical tourism and provide and examine a model of such barriers considering medical tourism`s intercultural nature.
Materials & Methods: This study is applied by purpose and survey by method. The three stages in completion of this study are : 1) Identifying the most important communicational barriers of medical tourism in Iran,2) designing a model of identified barriers by using interpretive structural modeling approach 3) examining the designed model in a sample of 300 individuals.
Results: Correlation test indicates a positive and significant relationship between variables in less than 0.01 significant level. Regression analysis confirms that all independent variables are significant predictor of the dependent variables .Therefore all hypotheses are confirmed.
Conclusion: This survey identified main medical tourism communicational barriers in Iran as: Lack of understanding, Perceived linguistic difference, Lack of trust, Perceived cultural difference, Prejudice, Stereotyping. Overcoming to Lack of understanding as the major obstacle has a dramatic effect on operating medical tourism.
Feizollah Akbari Haghighi , Ebrahim Jafari Poyan , Negar Aghighi,
Volume 13, Issue 3 (12-2014)
Abstract
Background: Monitoring and/or control are the management main duties. This duty is so important which some of authorities believed that efficient management depends on Effective Control System (ECS).This study aimed at identifyingbarriersandfacilitators of performance monitoring and providing some strategies for effective health care monitoring.
Materials and Method: This study was a qualitative one which data was collected bySemi-structured questionnaire filled by interview in2011-2012 and analyzed usingframeworkanalysis. Study population consisted of 25 experts and directors of care/treatment performance monitoring.
Results:Based on study results, nineconceptswere extracted as following:specialized nature of treatment performance monitoring, health assessors’ education, work experience in line units, prerequisites for new treatment performance monitoring, personal characteristics of care monitoring expert, managerial support of assessors, culture of monitoring process acceptability, facilitators and barriers of monitoring. Based on these concepts, 28 codes were identified.
Conclusion: Experienced assessors’ assessment, based on their specialty professionals’accurate and applied systematic education and management support are main items which will be result in more effective care/treatment performance monitoring.
Ahmad Amerion, Mostafa Shahabi Nejad,
Volume 14, Issue 4 (1-2016)
Abstract
Background: Strategic plan in hospitals will not be run spontaneously and managers encountered with some barriers in order to have a successful strategic planning implementation. This study aimed at recognizing the barriers of strategic plan implementation from hospital managers' perspective.
Materials and Methods: This cross-sectional study was performed in all Kerman hospitals in 2014. Fifty three individuals including chairmen, internal administrators, quality improvement managers, matrons and strategic plan executers participated by census sampling method. Data was collected using a questionnaire including demographic information and human, processes, structures and institutions factors affecting the strategies implementation. Data analysis was performed by SPSS software version21.
Results: Study results revealed that the barriers to strategic plan implementation were structural factors (27.71±6.68), process agents (19.54±10.06), human factors (19.09±5.37) and institutional factors (15.73±4.52) respectively. There was no significant association between management background and barriers of strategic plan implementation in hospitals (P < 0.05).
Conclusions: In order to achieve desired results, chairmen and hospitals managers should be entirely conscious about barriers /failure factors of strategic decisions concerning foresight and appropriate managing or approaches change during strategic management process implementation.
Ahad Norouzzadeh,
Volume 21, Issue 3 (12-2022)
Abstract
Background: Global statistics shows that health tourism grew significantly before the outbreak of Covid-19, but with the beginning of the pandemic and the closure of countries' borders to immigrants, this trend has declined significantly. The present study aimed to identify the bottlenecks of health medical tourism in the context of the outbreak of Covid-19 and to present scientific solutions for its development using two stages of content analysis and surveying.
Materials & Methods: This research is exploratory in terms of purpose and descriptive in terms of type, which was conducted by field method. Study population was selected in two stages; the first stage consisted of 20 physicians with more than 15 years of experience in Ardabil province who were chosen by snowball sampling method and the second stage consisted of 200 employees of the province's University of Medical Sciences who were randomly selected. In order to analyze the data in the first stage, the content analysis was used in 6 stages and in the second stage, the first and second order confirmatory factor analysis test was used.
Results: The research findings showed that 9 main themes and 29 sub-themes were identified as barriers and bottlenecks in health medical tourism and 23 scientific solutions were presented to reduce barriers and bottlenecks in health medical tourism in the event of COVID-19 outbreak.
Conclusion: The adaptive fit indices are good and the RMSEA value is 0.047 which indicates that the model has a good fit.
Shadi Khalilolahi, Nasrin Kazemi, Saeid Besharati, Atefe Abedini, Mohammad Varharam,
Volume 23, Issue 3 (11-2024)
Abstract
Background and purpose: The globalization of medical tourism has intensified competition among destinations, making it crucial to identify key success factors. While research emphasizes the role of host communities in tourism development, non-medical aspects of medical tourism remain underexplored. This study examines healthcare staff perspectives to identify the drivers and barriers affecting medical tourism in public hospitals.
Methods: This qualitative study employed structured interviews with 16 healthcare staff at Masih Daneshvari Hospital, selected through purposive sampling. Interviews were conducted in person during the summer of 2024 until data saturation was reached. Data analysis followed an inductive content analysis approach using MAXQDA software for coding, grouping, and categorization of themes into drivers and barriers.
Results: Key drivers of medical tourism development include skilled human resources, strong medical potential, affordable healthcare and associated costs, and the presence of complementary attractions. Conversely, major barriers include inadequate welfare services for medical tourists, managerial and institutional inefficiencies, hospital infrastructure deficiencies, and political and cultural challenges.
Conclusion: Developing a successful medical tourism sector requires a holistic approach. Identifying, prioritizing, and implementing strategic plans to strengthen facilitators and address obstacles are essential steps toward sustainable growth in this field.
Mehdi Hosseini, Ahad Norouzzadeh, Fatemeh Hosseini,
Volume 23, Issue 4 (2-2025)
Abstract
Background and purpose: The integration of digital technologies—computer-based systems, devices, and methods—is transforming organizational activities within the healthcare sector. However, research on the adoption of these technologies in healthcare remains limited, with a predominant focus on structural rather than behavioral factors. As the successful implementation of technology ultimately depends on the workforce, behavioral aspects play a decisive role. Therefore, this study aims to identify the principal behavioral barriers to the adoption of digital technologies in the healthcare sector.
Methods: This applied research utilized a three-stage survey methodology. The stages included: (1) identifying the most significant behavioral barriers to digital technology adoption through a literature review and expert opinions; (2) developing a hierarchical model of these barriers using Interpretive Structural Modeling (ISM); and (3) testing the hypotheses derived from the model with a sample of 302 healthcare professionals.
Results: The ISM model identified a hierarchy of six key behavioral barriers: lack of digital literacy, low perceived value, high perceived risk, negative attitude, resistance to change, and ultimately, non-adoption of digital technology. Based on this model, six research hypotheses were formulated. Regression analysis was conducted to test these hypotheses, and the results indicated that all six were statistically supported.
Conclusion: The findings establish that a lack of digital literacy is the most fundamental barrier to digital technology adoption in the healthcare sector. To address this primary obstacle, the study recommends targeted interventions, such as conducting national assessments of digital literacy levels among healthcare staff and implementing tailored training programs to enhance their technological competencies.
