Alireza Rahimi

Road-traffic injuries remain an important cause of premature death among women of reproductive age in Iran. We quantified the number of potential births no

Background and Aims: The delivery of consistent and comprehensive rehabilitation care for Cerebral Palsy (CP) patients, particularly in limited‐resource settings, faces significant structural, geographical, and economic barriers. The aim of the current study was to identify and finalize, through expert consensus, the functional and non‐functional requirements of a home‐based telerehabilitation information system for CP patients in the context of Iran, a setting with similar challenges to other low‐ and middle‐income countries (LMICs). Methods: A two‐round Delphi methodology was employed with a multidisciplinary panel of experts to obtain a consensus regarding the requirements of a home‐based telerehabilitation system. Based on a prior qualitative study and a scoping review, a comprehensive set of requirements was developed. Requirements with a mean score of ≥ 3.75 on a 5‐point Likert scale or ≥ 80% agreement were included in the final framework. The ≥ 3.75 mean score was selected to represent a high consensus level, ensuring the average rating was clearly above the midpoint and toward the “Very Important” category (score of 5). Results: A total of 142 requirements were identified and classified into 11 functional subsystems, comprising 121 functional and 21 non‐functional requirements. The subsystems with the highest number of endorsed requirements were Remote Exercise Therapy ( n = 22), Remote Education ( n = 21), and Remote Counseling ( n = 13). The most highly‐rated non‐functional requirements focused on Usability (e.g., simple interface), Compatibility (e.g., multi‐device support), and Adaptability (e.g., future feature addition). Conclusion: This study establishes a validated, context‐sensitive framework for the development of a home‐based telerehabilitation system for CP patients in Iran. By incorporating expert consensus across clinical and technical domains, the findings offer a strong foundation for future system design and implementation. The approach highlights the importance of tailoring digital health solutions to local needs and healthcare infrastructures, providing a model for similar LMIC settings.

Background: Telerehabilitation is an expanding domain of telehealth offering remote rehabilitation services. The quality of clinical guidelines, despite significant growth, is highly inconsistent, which may affect the quality of care and policy execution. We endeavored to systematically assess the quality of general telerehabilitation guidelines using the AGREE II instrument. Methods: A systematic search of six databases and grey literature identified 2575 records. After screening and eligibility assessment, seven guidelines were appraised independently by two reviewers using the AGREE II tool, covering six quality domains. Results: Only the American Physical Therapy Association′s 2024 guideline was rated high quality across all domains. Three guidelines were rated medium quality and recommended with modifications. The remaining three were deemed low quality due to weak methodological rigor and limited stakeholder involvement. Conclusion: The quality of telerehabilitation guidelines differs significantly, and high‐quality, evidence‐based, and inclusive guidelines are essential for promoting secure, efficient, and telerehabilitation practices globally.

Background: Telerehabilitation is used for delivering rehabilitation interventions, assessments, and education remotely by communication technology. The current study aimed to conduct a bibliometric analysis to discover research trends and knowledge mapping of telerehabilitation in patients with cerebral palsy. Materials and Methods: This descriptive–analytical study was conducted using a bibliometric analysis. The Web of Science was searched and 1,222 records were retrieved from the beginning to January 2024. The usual bibliometric rules were applied using the VOSviewer software for data processing. Also, this study used the LDA algorithm for topic modeling with Python. Results: The findings indicate that the trend of research in the telerehabilitation of patients with cerebral palsy is continuously increasing. Universities and institutions with high publication volumes are mainly institutions from the United States and Canada. The results demonstrates that the co-authorship network of researchers has an average density. Co-occurrence analysis primarily focuses on subjects such as rehabilitation, children, robots, virtual reality for walking and mobility. This research represents the latest evidence-based insights aimed at not only organizing existing knowledge but also assisting researchers and policymakers in achieving a better understanding of telerehabilitation interventions for cerebral palsy patients. Conclusion: According to the findings of this research, both the speed of evolution and diversity in telerehabilitation interventions and the amount of access and utilization of these interventions by cerebral palsy patients is high.

Background and Aim: Telerehabilitation has emerged as a promising solution to address accessibility, cost‐effectiveness, and continuity of care for patients requiring long‐term rehabilitation, like cerebral palsy (CP) patients. This study aimed to qualitatively explore the perceptions of clinical specialists, and CP patients regarding the feasibility, barriers, and facilitators of home‐based telerehabilitation.Methods: This qualitative study conducted a thematic analysis approach. Participants include two groups: 17 medical informatics and rehabilitation professionals and 13 CP patients and/or their caregivers. Participants were selected via expert and snowball sampling. Interviews were semi‐structured, transcribed, and analyzed using the Braun‐Clarke thematic analysis technique and MAXQDA software.Results: Thematic analysis revealed four dominant themes including feasibility, barriers, facilitators, and advantages. Feasibility was affected by technological infrastructure (internet connectivity, data security), human resources (availability of multidisciplinary specialists), legal aspects (patient data privacy), and financial sustainability. Key barriers included low digital literacy, limited access to specialized rehabilitation technologies, cultural resistance, legal regulations, and financial constraints. The findings also highlighted several advantages of home‐based telerehabilitation, including cost savings, improved accessibility to rehabilitation, and enhanced patient engagement in therapy.Conclusion: The current study suggested that home‐based telerehabilitation can be a feasible alternative for CP patients in Iran, but a variety of technological, financial, legal, and cultural barriers must first be addressed for its successful development. Overcoming such barriers requires targeted investments, supportive policies, and cultural education for successful implementation.

Objective: The correlation between health data quality and disease management is of utmost importance. Optimal data quality enhances decision making, minimizes medical errors, and boosts efficiency in disease management. Hence, current research is focused on mapping of co-occurrences and the relationship between health data quality and disease management. Methods: The present study employed a scientometric approach known as co-occurrence analysis to analyze the data extracted from the Web of Science. Our research community aimed to investigate the association between health data quality and disease management, encompassing all documents produced in this field from 1991 to September 2023. The data was meticulously scrutinized and recorded on 1 October 2023. To generate graphs and tables, we utilized Excel 2019 software utilized, while VOSviewer scientometric software was employed to create co-occurrence maps. Results: The top three countries with the highest scientific production in this field were the United States, England, and Australia. The study also uncovered three clusters centered on data quality, management, and public health. Co-occurrence maps drawn from the study showed that accuracy, coverage, and completeness of health data are related to the provision of healthcare and therapeutic interventions, as well as treatment outcomes. Furthermore, management was found to be associated with prevention, epidemic, prevalence, disease, and mortality rate. The study also revealed that data quality is linked to evaluation, validity, reliability, public health, and quality of life. Conclusion: It is clear from this research that accuracy, coverage, and completeness are crucial characteristics of data quality. These factors play a key role in the management of prevention, epidemics, and disease outbreaks, as well as and mortality rates. Evaluating data quality is also important as it can have a positive impact on the quality of life, public health, and health information technologies. This study has the potential to be very useful in improving the quality of health data, the clinical informationist performances, and in turn, promoting more effective disease management.

Background. The rapid advancement of medical knowledge and technology was precipitating transformations in healthcare, necessitating novel approaches to the dissemination of information. Medical library and information sciences (MLIS) assumed a pivotal role in facilitating access to information sources and conducting literacy programs. This study endeavored to analyze the scientific outcomes of MLIS from 1990 to 2022 to elucidate the underlying themes and contributions that were shaping the discipline. Methods. This study employed a cross-sectional descriptive method with a scientometric approach. Data were gathered from the Web of Science in September 2024. The analysis was conducted using Excel version 2019 software and VOSviewer 1.6 software. In this visualization, the size of the circles represented the weight based on the co-occurrence of subjects, with a maximum length of 30. The data normalization method used for network visualization was Min. strength and association strength. Results. In the field of MLIS, the United States was the leading producer of scientific output, with Iran ranking sixth. Tanya P. Bardin and Daniel Eric Burgard were the most prolific writers. The scientometric map identified five clusters of research activity, focusing on professional tasks, technology, user nature, organizational issues, and citation-related fields. Conclusions. The analysis of MLIS literature from 1990 to 2022 revealed a rapidly expanding and highly specialized field, with the greatest quantity of production occurring in 2008. The key research areas encompassed Information Science, Library Science, and Health Care Sciences Services. Scientometric mapping revealed distinct clusters focusing on professional tasks, technology and Internet use, user-oriented services, organizational issues, and citation-related fields. These findings underscored the pivotal role of MLIS professionals in supporting healthcare. However, challenges persisted in methodological diversity, international collaboration, and research transparency. It was crucial to address these challenges in order to ensure that MLIS continued to wield significant influence in the future of healthcare

Virtual reality (VR) technology presents a promising alternative to medical education by creating an immersive and interactive learning environment. This research aimed to examine the effectiveness of virtual reality on medical students’ academic achievement in anatomy. This systematic review included 24 full-text articles in both Persian and English from 10 databases. The search focused on experimental, quasi-experimental, and descriptive studies published between May 28, 2000, and May 24, 2022. At least two researchers reviewed all studies. In cases of disagreement between the two, a third researcher reviewed the article and made the final decision. Results were analyzed according to the four-level Kirkpatrick model. Also, the modified Buckley checklist was used to assess the quality of the study. Twenty-four articles were included. Following Kirkpatrick’s levels of evaluation, Nineteen studies explored the first level of training effectiveness (reaction). Twenty-four studies examined the second level (learning). One study investigated the efficacy of education (behavior). No studies have investigated the fourth level (impact). This study argues that Virtual reality improves students’ academic progress and learning in medical anatomy when used as a supplementary way to other methods. However, experimental studies are recommended to investigate the impact of various factors on the efficacy of this method.

This scientometric study provides a comprehensive analysis of drug abuse research within the top 10 countries indexed in the Web of Science from 2010 to August 2023. It highlights the significant contributions of authors like Kendler KS and institutions such as the University of California System, emphasizing the pivotal role they play in advancing our understanding of drug abuse. The United States, China, and Iran emerge as leading contributors, with funding predominantly provided by institutions like the United States Department of Health and Human Services, NIH USA, and NIDA. The study identifies four distinct research clusters focusing on alcohol, cocaine, opioids, and cannabis, offering nuanced insights into specific areas of emphasis within drug abuse research. These findings underscore the need for collaborative, multi-faceted approaches involving researchers, institutions, and countries to effectively address the complex challenges posed by drug abuse. Building upon these insights, future research and policy initiatives can work towards more effective strategies for prevention, intervention, and support, ultimately contributing to improvements in public health and well-being.