Health Management and Information Science
Year:2023 | Volume:10 | Issue:3|Papers Count:8

Structural equation modeling (SEM) as a quantitative approach can greatly help the researcher in the analysis of multivariate experimental data. This issue can be more significant in medical research. The results of SEM are expected to be more realistic than the results of regression analysis. SEM is a combination of measurement and structural models. The measurement model in SEM is divided into two types of reflective indicators and constructive indicators. Fitting indicators of measurement models (external model) include index reliability, convergent validity and divergent validity. Structural models indices (internal model) include Significant numbers t (T - values), Coefficient of determination (R2), The effect size (f2), Predictive Relevance (Q2 criterion), Quality Index, Communality Criterion (sharing index) and Redundancy Criterion. Overall fit indicators also include GOF criterion. In the present study, various methods and indicators of structural equation modeling have been developed in full detail, which can help researchers in conducting their studies in the field of structural equations.

Background and aim: Today, despite the progress of science in healthcare, cancer is still one of the main causes of death worldwide. Artificial intelligence (AI) has emerged as a technology to tackle some of the biggest challenges in cancer research and treatment, and researchers have completed numerous studies in this area. Therefore, the current study analyzed scientific research in the field of artificial intellige nce and cancer using scientometric tools.Material and method: This descriptive study utilized scientometrics techniques and focused on analyzing scientific publications related to using AI in cancer that were indexed in the Web of Science Core Collection (WoSCC) database. until April 23, 2023. To analyze the data, the Babblemetrix package was used in the R software.Results: A total of 8098 related documents were retrieved, and the USA, China, and Germany had the most publications. The words "Classification," "Cancer," and "Diagnosis" were the most important keywords of the authors in the scientific publications. Pathology and Diagnosis were the primary topics in the field of AI and cancer. Moreover, Cancer, Survival, and Computer-aided detection have received more attention from researchers in recent years.Conclusion: The findings of the study suggest that AI has enormous potential to revolutionize cancer research and treatment, and pave the way for more effective and personalized therapies. The results of this study can be useful for research policy-makers and researchers to determine the priorities and research decisions in this field.

Introduction: Organizational culture plays a key role in the success or failure of healthcare organizations. Weak organizational culture is one of the main causes of inefficiency in hospitals. Identifying the type of organizational culture of hospitals is an important step in order to increase their productivity. Therefore, this study was conducted with the aim of identifying the components of organizational culture.Methods: This qualitative study was conducted in Baharloo Hospital in Tehran in 2023. The statistical population included nurses and administrative-support and financial staff of Baharloo Hospital in Tehran. The sampling method used in this study was purposive and snowball sampling. In order to collect data, semi-structured interviews were used. Content analysis method was used to analyze the texts using MAXQDA version 18 software. To analyze the data, Clark and Brown (2006) thematic analysis method, which is set in 6 steps, was used to identify important and coherent themes about the components of organizational culture.Findings: In this study, 18 experienced and expert nurses and administrative - support and financial staff were interviewed. The results of data analysis showed that the 10 main components of organizational culture in Baharloo Hospital of Tehran University of Medical Sciences are rational, ideological, agreement and participation, hierarchical, constructive, passive/defensive, work and open culture, entrenchment, flexibility and value orientation.Conclusion: The identified components of organizational culture can help healthcare managers and policy makers to improve service quality, job satisfaction and organizational commitment of employees, improve organizational performance and increase patient satisfaction.

Background: Accidents and disasters have affected human lives and various aspects, including casualties, financial, psychological, and environmental damage, directly and indirectly. Prehospital emergency, one of the vital organs and agencies that respond right away to the scene and aid the injured, plays a crucial part in such incidents and is a vital link in the chain of public safety that protects the lives and health of its users. Methods: Each of the two stages in this mixed-method (qualitative and quantitative) study serves as an introduction to the application of the subsequent phase. The first phase was a qualitative phase (Item generation) that have 3 steps, a scoping review, qualitative study, and incorporation of steps 1 and 2 (synthesis research). The second phases, the quantitative phase (item reduction), have 4 steps: Face validity, Content Validity, Construct Validity, and Tool Reliability.Discussion: Prehospital emergency preparedness requires the development of response plans, training of these plans, and the quantitative and qualitative enhancement of current capabilities and capacities. As a result, the establishment and promotion of specific preparedness functions outlined in the emergency response operational plan hospital at various headquarters and operational levels need to conduct various maneuvers in this battle.

Introduction: HL7 standards of EHR performance model provides a standardized framework that can help evaluate, design, and improve hospital information system. This study examines hospital information systems in terms of their compliance with HL7 standards in the EHR functional model at teaching hospitals affiliated with Shiraz University of Medical SciencesMethods: This is an applied descriptive-cross sectional study. The research population includes 11 hospital information system officials of hospitals affiliated with Shiraz University of Medical Sciences. The data collection tool was a questionnaire that has been prepared, and translated based on the HL7 standards of EHR performance model. The validity and reliability of the tool have been confirmed by the agreement of information technology experts. The data collection method consists of a questionnaire prepared by the researcher and completed by interviewing hospital IT officials and direct observation. Data analysis was performed using the SPSS16, and a one-sample T-test was used to compare the sample mean with the population mean.Results:The results of study showed The comparison between the average scores of variables and the community average revealed that there is a significant difference between the community average and the security mean in the examined sample (p<0.001). Furthermore, there are significant differences between the community average and the means of health records management and information (p=0.03), terminology services and standard terminology (p<0.001), and workflow (p=0.03).Conclusion:The evaluation of Healthcare Information Systems (HIS) performance is crucial to ensure that they effectively meet the needs healthcare organizations and support their missions.

Introduction: Length of stay in the intensive care unit (ICU) is one of the most important factors that impacts the health care resource utilization. The aim of this study was to identify the factors associated with prolonging the patients’ stay in Namazi Hospitals ICUs and perform possible interventions to reduce the length of stay in order to improve the quality of care and decrease hospital costs.Method: During a two-month period, eight sessions were held with the senior physicians, head nurses and supervisors of eight adult ICUs working in Namazi hospital, a 850 bed university hospital in Shiraz, south of Iran. Factors that may contribute to the prolongation of patients' stay in the intensive care units were examined. Based on a researcher-made questionnaire, 28 important factors were identified and ranked according to the degree of importance. Result: The most important factors in terms of the degree of importance were unavailable bed vacancy in the step down wards, financial problems of the families to pay for the home-based primary nursing cares, ICU acquired infections, and admission of the patients too sick to benefit from the ICU due to unjustified administrative pressure. The most amendable factors were hospital acquired infections, delay in surgical tracheostomy when indicated, unavailable bed in step down wards, and poor interdisciplinary collaboration of the staff physicians.Conclusion: Interventional projects have been designed to reduce the ICU-acquired infections, facilitating the process of surgical tracheostomy and supporting the families who are not able to pay the costs of home-based care.

Introduction: This study aimed to explain and design a system model of factors affecting the organizational citizenship behavior of medical universities in 2019.Methods: The research method was applied based on the purpose; in terms of data collection, it was a mixed method of qualitative and quantitative design. The statistical population of the research in the qualitative part includes academics, managers, and experts in behavioral and educational topics who were purposefully selected; in the quantitative part, we included the staff of the universities of medical sciences in the south of the country (Shiraz, Yasooj and Bushehr universities of medical sciences). The final 33 components of organizational citizenship behavior were obtained from 57 components extracted from reviewing the literature and similar research and three rounds of the repetition of the Delphi method, which are systematic in the form of effective factors (inputs) with components: 1- individual factors: managerial factors, organizational factors, and job characteristics; 2- process (organizational citizenship behavior), and 3- results or consequences with components. Individual and organizational outcomes were categorized. The proposed model was analyzed by confirmatory factor analysis in structural equation modeling and Smart PLS software and the final modelwas presented.Results: The results showed that the conceptual model fit was well based on the indices of acceptable and significant values of path coefficients, factor loads, and variance. Also, the results confirm all research relationships based on the impact of individual factors at 0.527, managerial factors at 0.377, organizational factors at 0.507, job characteristics at 0.448 on organizational citizenship behavior, and also the impact of organizational citizenship behavior on individual outcomes. The rate was 0.502, and the organizational outcomes of medical universities were 0.552 at a 99% confidence level.Conclusion: To increase organizational citizenship behaviors, it is recommended that attention should be paid to organizational justice, organizational commitment, job satisfaction, and leadership style because these factors play a significant role in the success of the organization. Therefore, it is suggested that organizations should prioritize theestablishment of organizational justice and organizational commitment in their policies.

Health tourism has become an increasingly popular industry, and countries are competing extremely to attract more health tourists. However, there are several barriers to the development of this industry in Iran, including economic ones. To overcome these challenges, Iran must establish effective international relations, improve its infrastructure related to health tourism, develop targeted marketing mechanisms, and stabilize the economy. By implementing a comprehensive and strategic plan, Iran can emerge as a major player in the health tourism industry, competing with other countries in the region.Health tourism has become an increasingly popular industry, and countries are competing extremely to attract more health tourists. However, there are several barriers to the development of this industry in Iran, including economic ones. To overcome them, Iran must establish effective international relations, improve infrastructure related to health tourism, have targeted marketing mechanisms, and stabilize the economy. By implementing a comprehensive and strategic plan, Iran can emerge as a major player in the health tourism industry, competing with other countries in the region.