Comparing the clinical and economic efficiency of four natural surfactants in treating infants with respiratory distress syndrome.

Surfactant therapy has revolutionized the treatment of respiratory distress syndrome (RDS) over the past few decades. Relying on a new method, the current research seeks to compare four common surfactants in the health market of Iran to determine the best surfactant according to the selected criteria. The research was a cross-sectional, retrospective study that used the data of 13,169 infants as recorded on the information system of the Iranian Ministry of Health. To rank the surfactants used, the following indicators were measured: re-dosing rate, average direct treatment cost, average length of stay, disease burden, need for invasive mechanical ventilation, survival at discharge, and medical referrals. The CRITIC (criteria importance through intercriteria correlation) method was used to determine the weight of the indicators, and MABAC (multi-attributive border approximation area comparison) was used to prioritize the surfactants. Based on the seven selected indicators in this research (re-dosing rate, average length of stay, direct medical cost per one prescription, medical referral rate, survival at discharge, disability-adjusted life years, number of newborns in need of invasive mechanical ventilation) and using multi-criteria analysis method, Alveofact was identified as the worst surfactant in infants with either more or less than 32 weeks' gestation. So that some criteria were worse in Alveofact group infants than other groups; for example, in the comparison of the Alveofact group with the average of the total population, it was found that the survival rate at discharge was 57.14% versus 66.43%, and the rate of re-dosing was 1.63 versus 1.39. BLES (bovine lipid extract surfactant) was the best alternative for infants more than 32 weeks' gestation, whereas Survanta was identified as best option for infants with less than 32 weeks' gestation. Curosurf showed an average level of functionality in the ranking. This study advises the policy makers in the field of neonatal health to increase the market share of more effective surfactants based on this study and other similar studies. On the other hand, neonatal health care providers are also advised to prioritize the use of more effective surfactants if possible, depending on the clinical conditions and desired improvements.

Comparison of Health Status Indicators in Iran with the Eastern Mediterranean Countries Using Multiple Attribute Decision-Making Methods.

Background: Improving public health is the main goal of healthcare systems across the world. Healthcare policymakers often use comparisons between different healthcare systems to better position their country and use the outcome to develop novel strategies to improve their own public health. The present study aimed to compare the health status indicators in Iran with those of the Eastern Mediterranean (EM) countries using the multiple attribute decision-making (MADM) methods. Methods: A descriptive-analytical study was conducted in 2021 at Shiraz University of Medical Sciences, Shiraz, Iran. Data on the ranking of health status indicators in EM countries were obtained from the annual publications of the World Health Organization, World Health Statistics (2016-2020). As part of the MADM mathematical models, the "criteria importance through intercriteria correlation" (CRITIC) model was used to assign weights to health status indicators. In addition, the "multi-criteria optimization and compromise solution" (VIKOR) model was used to rank the EM countries. Results: The results showed that Bahrain and Somalia ranked first and last on health status indicators, respectively. Iran was ranked fifth among the EM countries. However, while Iran has a better status on all indicators than the mean value of all EM countries, there is a significant gap between the health status in Iran compared to the top-ranked countries. Conclusion: Health care strategies adopted by top-ranked countries, such as Bahrain and Qatar, can be used by Iran and other EM countries as a model to improve their healthcare system.

Analyzing the interaction of main components of hidden curriculum in medical education using interpretive structural modeling method.

BACKGROUND: Hidden curriculum (HC) is considered as unintended learning experiences in medical education (ME). This may include values, norms, beliefs, skills, and knowledge which could potentially influence learning outcomes. HC has key components that must be identified and considered properly by individuals and organizations involved in ME. OBJECTIVES: This study aimed to determine the main components of hidden curriculum in medical education (HCME) and the interrelationships among them. METHODS: In this mixed-method study initially we performed a scoping review and determined the main components of HCME using qualitative content analysis approach. Then, the interrelationships among these components were investigated using Interpretive Structural Modeling (ISM). RESULTS: Ten key components for HCME were identified in scoping review. We classified them into four main categories including structural, educational, cultural, and social factors. The ISM analysis revealed that organizational rules and structure, dominant culture of educational environments, teaching and assessment approaches, as well as clinical and educational physical setting were the independent or driving factors. While, social components were dependent and influenced by basic components. CONCLUSION: The ISM model indicated that role modeling behaviors and interpersonal relationships (social factors) are under influence of underlying organizational and educational factors. These results should be considered at all stages of educational management including planning process, implementation of the programs, and development of formal curricula. According to the importance of contextual factors, components of HC must be analyzed and interpreted based on the specific conditions of each educational institution.

Identifying and Prioritizing Effective Factors on Outsourcing in Public Hospitals Using Fuzzy BWM.

The outsourcing of health services has gained prominence over the past decades. Because numerous factors affect outsourcing in the field of health services, identifying and prioritizing these factors is specifically important. This study sought to identify and prioritize the factors affecting outsourcing, and to propose a model for the effective outsourcing of hospital services in Shiraz, Iran. The study drew on an exploratory mixed research method. In the first stage, all the criteria affecting the outsourcing of activities in hospitals were identified through the theoretical framework, a literature review, and interviews with hospital experts. Next, the criteria were finalized and prioritized using the fuzzy best-worst method (BWM). Following the literature review, 34 criteria for outsourcing were identified based on the studies explored and the interviews with the experts; the criteria were categorized into seven dimensions including "strategy", "management", "economy", "quality", "security and keeping patients' records", "service", and "agility." These dimensions formed the final outsourcing model of hospitals in Shiraz. Finally, the fuzzy BWM analysis revealed that "security and keeping patient's records" had the highest priority in outsourcing-related decision-making. The findings can help hospital managers make the right decision concerning the outsourcing of hospital services. The dimensions found in this research might also have been identified in other models, although this study was different in that it concentrated on the criteria in the specialized area of hospital management, while identifying the importance and weights of all the criteria involved.

Evaluating the health system financing of the Eastern Mediterranean Region (EMR) countries using Grey Relation Analysis and Shannon Entropy.

BACKGROUND: Sufficient and sustainable financing of the health system is essential for improving the health of the community. The health systems financing of the EMR countries is facing the challenge. Assessment and ranking of healthcare financing can help identify and resolve some challenges of health systems. So, the aim of this study is to evaluate and rank the condition of the health sector financing in the EMR countries. METHODS: This study was a cross-sectional study. The data was of secondary type, extracted from the official WHO and World Bank data. The six healthcare financing indicators in a 10-year interval (2005-2014) in 19 EMR countries analyzed using Grey Relation Analysis and Shannon Entropy. RESULTS: On average, the countries in the EMR region spent 4.87% of their GDP on the health sector. Jordan and Qatar allocated the highest (8.313) and the lowest (2.293) percentages of their GDP to the health sector, respectively. The results showed That Qatar was in a better condition than other EMR countries during 2005-2014 in terms of the health system financing and earned the first rank. After that, the UAE and Kuwait were ranked second and third. CONCLUSIONS: There is a lot of inequality among the EMR countries in terms of health financing. However, our findings confirmed that only increasing the total health expenditure in a country would not improve its financing status compared to other countries, but it also depends on financing methods.