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Background & Objective: The COVID-19 pandemic has impacted medical education worldwide with several opportunities and challenges. This study aims to provide an overview of medical education's opportunities and challenges according to the experience of the COVID-19 pandemic in order to guide future endeavors in conducting the teaching-learning process in post-COVID era support. Material & Methods: In this systematized review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, databases of PubMed, Cochrane, Scopus, Web of Science, and Eric, in addition to Google Scholar as a search engine, were searched to retrieve relevant original peer-reviewed, review, editorial, and commentary articles published from Dec 2019 to the end of Sep 2022. Results: As per the qualitative synthesis, a total of 29 articles were included from the 1534 records that were identified. Reviewing the included articles showed that most of the relevant studies were considered Medical and healthcare students (51.8%) at undergraduate level (72.5%) in University settings (62.1%). As per the qualitative synthesis, a total of 29 articles were included from the 1534 records that were identified. Reviewing the included articles showed that most of the relevant studies were considered Medical and healthcare students (51.8%) at undergraduate level (72.5%) in University settings (62.1%). On the other hand, post-COVID medical education opportunities have been grouped into four main categories, which are teaching and learning processes, psychological impact, accessibility and education equity, and management and administrative affairs. Post-COVID medical education opportunities also consist of four main categories: teaching-learning process, psychological impact, accessibility and education equity, and management and administrative affairs. Conclusion: Changes in teaching and learning processes in medical education caused by the COVID-19 pandemic created opportunities and caused important challenges that should be considered in the post-COVID era. In this regard, blended learning with the integration of technology using a flexible approach could be an effective recommendation.

Background: In pursuing improving healthcare quality and enhancing efficiency, public hospitals in Iran have undergone numerous reforms over the past two decades. This study aimed to assess the efficiency of all public hospitals in Iran from 2012 to 2016.Methods: This study was conducted as a quantitative and descriptive-analytical research project. The authors employed an innovative approach called Extended Data Envelopment Analysis (Extended-DEA), a modification of conventional DEA, to assess the technical efficiency and productivity of 568 public hospitals. They obtained nationally representative data from official annual health reports. The data were analyzed using GAMS software version 24.3.Results: The study found that the average efficiency score for all hospitals was 0.733. Among all the hospitals, 10.1% were deemed efficient, while 2.68% had low-efficiency scores below 0.2. The Malmquist Productivity Index (MPI) showed improvement in 49.3% of hospitals and remained unchanged at 2.3%. In comparison, 48.2% of hospitals experienced a regression in productivity from 2015 to 2016. On average, the MPI was 1.07 throughout the analysis.Conclusion: The findings of this study suggest that there is a need for increased efforts to improve the efficient utilization of resources in public hospitals. It highlights the importance of developing appropriate policy solutions and tools to address these efficiency challenges. In particular, one proposed strategy is the merger of small-sized district hospitals to establish larger and more efficient hospitals in different geographical regions across the country.

Background & aim: Given recent demographic changes, Iran has revised its reproductive health (RH) programs. To respond to the need for monitoring the new programs and policies, this study aimed to identify appropriate indicators for RH and population programs monitoring in the Iranian context.Methods: A mixed-methods approach was applied which was conducted in four phases: identification of goals of RH policies and programs, a scoping review of the RH indicators, developing and ranking the identified indicators, and indicators' finalization. The final indicators were selected through consensus, with a cut-off point of 75%. Data was collected from June 21, 2020, until February 18, 2021. Data analysis was conducted simultaneously during each stage of the study. MAXQDA.11 and MS Excel 2017 software were used in the first and third phases for data analysis. Results: A total of 37 RH indicators were finalized after three rounds of screening. The first five indicators with the highest score were: total fertility rate, population under 15 years, total population, population aged 65 years and older, and age-specific fertility rate. The lowest score was related to the recuperation index (degree of recuperation relative to fertility decline at younger ages).Conclusion: The nature and number of indicators might vary at different organizational levels; so, the need to develop specific indicators is pivotal.