Design and validation of a conceptual model regarding impact of open science on healthcare research processes.

INTRODUCTION: The development and use of digital tools in various stages of research highlight the importance of novel open science methods for an integrated and accessible research system. The objective of this study was to design and validate a conceptual model of open science on healthcare research processes. METHODS: This research was conducted in three phases using a mixed-methods approach. The first phase employed a qualitative method, namely purposive sampling and semi-structured interview guides to collect data from healthcare researchers and managers. Influential factors of open science on research processes were extracted for refining the components and developing the proposed model; the second phase utilized a panel of experts and collective agreement through purposive sampling. The final phase involved purposive sampling and Delphi technique to validate the components of the proposed model according to researchers' perspectives. FINDINGS: From the thematic analysis of 20 interview on the study topic, 385 codes, 38 sub-themes, and 14 main themes were extracted for the initial proposed model. These components were reviewed by expert panel members, resulting in 31 sub-themes, 13 main themes, and 4 approved themes. Ultimately, the agreed-upon model was assessed in four layers for validation by the expert panel, and all the components achieved a score of > 75% in two Delphi rounds. The validated model was presented based on the infrastructure and culture layers, as well as supervision, assessment, publication, and sharing. CONCLUSION: To effectively implement these methods in the research process, it is essential to create cultural and infrastructural backgrounds and predefined requirements for preventing potential abuses and privacy concerns in the healthcare system. Applying these principles will lead to greater access to outputs, increasing the credibility of research results and the utilization of collective intelligence in solving healthcare system issues.

A framework for health information governance: a scoping review.

BACKGROUND: As a newly emerged concept and a product of the twenty-first century, health information governance is expanding at a rapid rate. The necessity of information governance in the healthcare industry is evident, given the significance of health information and the current need to manage it. The objective of the present scoping review is to identify the dimensions and components of health information governance to discover how these factors impact the enhancement of healthcare systems and services. METHODS: PubMed, Scopus, Web of Science, ProQuest and the Google Scholar search engine were searched from inception to June 2024. Methodological study quality was assessed using CASP checklists for selected documents. Endnote 20 was utilized to select and review articles and manage references, and MAXQDA 2020 was used for content analysis. RESULTS: A total of 37 documents, including 18 review, 9 qualitative and 10 mixed-method studies, were identified by literature search. Based on the findings, six core categories (including health information governance goals, advantages and applications, principles, components or elements, roles and responsibilities and processes) and 48 subcategories were identified to form a unified general framework comprising all extracted dimensions and components. CONCLUSIONS: Based on the findings of this scoping review, health information governance should be regarded as a necessity in the health systems of various countries to improve and achieve their goals, particularly in developing and underdeveloped countries. Moreover, in light of the undesirable effects of the coronavirus disease 2019 (COVID-19) pandemic in various countries, the development and implementation of health information governance models at organizational, national and international levels are among the pressing concerns. Researchers can use the present findings as a comprehensive model for developing health information governance models. A possible limitation of this study is our limited access to some databases.

Information and health literacy policies during pandemics: A narrative review.

BACKGROUND: The COVID-19 pandemic has compelled governments globally to formulate policies addressing the unique needs of their populations. These policies are critical in disseminating accurate information and enhancing health literacy during crises. OBJECTIVE: This narrative review aims to identify and assess effective information and health literacy policies implemented during pandemics. METHODS: A comprehensive literature search was performed across five electronic information sources (PubMed, Science Direct, ProQuest, Emerald Insight, Scopus), supplemented by Google Scholar. The analysis employed Walt and Gilson's health policy triangle framework to categorize and evaluate the findings. RESULTS: The review revealed that the policies could be grouped into several key categories: educational programs, laws and regulations, knowledge sharing, national programs, and different information sources. The development of these policies involved multifaceted processes influenced by political, scientific, economic, cultural and social factors, as well as the involvement of multiple stakeholders. CONCLUSIONS: This review offers significant insights and actionable recommendations for policymakers and stakeholders. By understanding the dimensions and components of effective information and health literacy policies, stakeholders can better prepare for and respond to future pandemics and similar health crises.

Iranian researchers' perspective about concept and effect of open science on research publication.

BACKGROUND: Sharing research outputs with open science methods for different stakeholders causes better access to different studies to solve problems in diverse fields, which leads to equal access conditions to research resources, as well as greater scientific productivity. Therefore, the aim of this study was to perceive the concept of openness in research among Iranian health researchers. METHODS: From the beginning of August to the middle of November 2021, twenty semi-structured interviews were held with Iranian health researchers from different fields using purposeful, snowball, and convenience sampling. The interviews continued until data saturation. Data analysis was performed with thematic analysis using MAXQDA 20. Finally, seven main issues related to open science were identified. RESULTS: Through analysis of the interviews, 235 primary codes and 173 main codes were extracted in 22 subclasses. After careful evaluation and integration of subclasses and classes, they were finally classified into nine categories and three main themes. Analysis showed that openness in research was related to three main themes: researchers' understanding of open science, the impact of open science on publication and sharing of research, concerns and reluctance to open research. CONCLUSION: The conditions of access to research output should be specified given the diversity of studies conducted in the field of health; issues like privacy as an important topic of access to data and information in the health system should also be specified. Our analysis indicated that the conditions of publication and sharing of research processes should be stated according to different scopes of health fields. The concept of open science was related to access to findings and other research items regardless of cost, political, social, or racial barriers, which could create collective wisdom in the development of knowledge. The process of publication and sharing of research related to open access applies to all types of outputs, conditions of access, increasing trust in research, creation of diverse publication paths, and broader participation of citizens in research. Open science practices should be promoted to increase the circulation and exploitation rates of knowledge while adjusting and respecting the limits of privacy, intellectual property and national security rights of countries.

Cost-Effectiveness of Health Literacy Enhancement Intervention on Patients with Type II Diabetes.

Background: Type II diabetes is considered a chronic disease that influences the affected person's quality of life and imposes a high economic burden on the patient and society. The enhancement of health literacy seems essential for self-management and disease control in patients with type II diabetes. Consequently, this study was performed to evaluate the cost-effectiveness of enhanced health literacy in type II diabetes patients. Methods: This study was of quantitative and economic evaluation type. A population of 232 patients was selected among those referred to the Tafihan Shiraz clinic based on the quality of entry and exit. The health literacy educational intervention was carried out for three months. In order to collect information, researchers used the SF36 questionnaire and the checklist of costs. The Cost Effectiveness Ratio (CER) and Incremental Cost Effectiveness Ratio (ICER) were calculated. Moreover, the costs of each unit of increasing the quality of life before and after the intervention were calculated. A decision was made to determine the cost-effectiveness of the intervention. Results: According to the results, 40% of the participants were females, and 34.5% were 30-40 years old. Examination of the quality of life in patients before the intervention indicated that the mean and standard deviation of the patients' quality of life before the intervention was 18.43±44.99, and the mean and standard deviation of the quality of life after the intervention was 49.57±16.21. Moreover, the patients' quality of life increased after the educational intervention. The total direct medical costs were $717,484 and $685,620 before and after the intervention, respectively. The total indirect medical costs were $604,122 and $493,011 before and after the intervention, respectively. Moreover, the total indirect costs were $122,535 and $122,119 before and after the intervention, respectively. The study was cost-effective with CER=0.9 and ICER= - 140,000 per increase in the quality of life. Conclusion: Improving health literacy can have a range of benefits and improve the quality of life of patients with type II diabetes and reduce their treatment costs, and thereby, this may be seen as an effective step toward the recovery of patients with type II diabetes.

Citation Analysis and Mapping of Iranian's Stem Cell Research Output.

Background: This study aims to map the research trends in the field of stem cell research in Iran by presenting a systematic and analytical bibliometrics approach based on data from the Web of Science database. Methods: In this study, we provide a visualization overview of the distribution of stem cell publications in Iran. The HistCite software was used to draw and analyze the historiographical maps, based on Global Citation Score (GSC) and Local Citation Score (LCS) in order to indicate the most frequent thematic trends. The accuracy of clustering and classification of scientific fields is enhanced by the incorporation of algorithms and main bibliometric analysis. Results: A total of 5123 records were collected from the Web of Science database in 2020. The most prolific author had a GCS of 5890 and the most productive university earned GCS of 13677. "Cell Journal," with 186 records contributed the highest number of publications. The highest cited document based on GSC had a score of 646 and the highest cited article based on LCS had a score of 71. We documented regular growth in outputs. In addition, the scientific maps based on LCS and GCS have been drawn. The prominent, distinguished areas of study revolve around differentiation, generation, proliferation, and the therapeutic use of stem cells as well as "genotoxicity in stem cells", "mesenchymal stem cells" and "embryonic stem cells". Journal articles were the predominant document type. Conclusion: Research on stem cells is a biomedical venture with great scientific impact, and its development in Iran is undeniable. This study provides an overview and a framework for the weaknesses and strengths of Iranian research outputs on stem cells, representing the main clusters in scientific maps. We hope that our results help researchers to plan future studies and promote their research productions.

A Scoping Review of Adopted Information Extraction Methods for RCTs.

Background: Randomized controlled trials (RCTs) provide the strongest evidence for therapeutic interventions and their effects on groups of subjects. However, the large amount of unstructured information in these trials makes it challenging and time-consuming to make decisions and identify important concepts and valid evidence. This study aims to explore methods for automating or semi-automating information extraction from reports of RCT studies. Methods: We conducted a systematic search of PubMed, ACM Digital Library, and Web of Science to identify relevant articles published between January 1, 2010, and 2022. We focused on published Natural Language Processing (NLP), machine learning, and deep learning methods that automate or semi-automate key elements of information extraction in the context of RCTs. Results: A total of 26 publications were included, which discussed the automatic extraction of key characteristics of RCTs using various PICO frameworks (PIBOSO and PECODR). Among these publications, 14 (53.8%) extracted key characteristics based on PICO, PIBOSO, and PECODR, while 12 (46.1%) discussed information extraction methods in RCT studies. Common approaches mentioned included word/phrase matching, machine learning algorithms such as binary classification using the Naïve Bayes algorithm and powerful BERT network for feature extraction, support vector machine for data classification, conditional random field, non-machine-dependent automation, and machine learning or deep learning approaches. Conclusion: The lack of publicly available software and limited access to existing software makes it difficult to determine the most powerful information extraction system. However, deep learning models like Transformers and BERT language models have shown better performance in natural language processing.

Barriers and facilitators of implementing an information system for health grey literature in Iran: Experts' views and perspectives.

BACKGROUND: Despite the importance of health grey literature, there is not a comprehensive information system for managing these valuable resources in Iran. OBJECTIVES: This study aimed at identifying the barriers to and facilitators of implementing a comprehensive national information system for health grey literature. MATERIAL AND METHOD: This study applied the qualitative research method. Semi-structured interviews were conducted among 19 experts in related fields. A qualitative content analysis was used to analyze the data in MAXQDA. The data were codified and revised constantly and classified in some selected main and sub-categories based on their relative similarities and differences. RESULTS: Data analysis identified some barriers to the implementation of an information system for health grey literature in Iran, including two main categories (and some sub-categories): managerial issues (performance related issues, coordination issues, monitoring and supervision issues and attitudinal issues) and issues on data integration (data collecting issues, data recording issues, quality control issues, and issues on data organization, dissemination and use). CONCLUSION: Designing a national system for health grey literature in Iran needs a powerful authority, removing possible intersectional conflicts, a selection committee, written policies and strict quality control criteria, and protocols for storage, access, retrieval and metadata evaluation.

The Effective Trends and Driving Forces in The Future of Research Performance Evaluation: A Qualitative Study.

Background: Performance is a multidimensional concept and is evaluated by different criteria. Definition and evaluation of research performance are always controversial and may be affected by variable conditions. Therefore, this study aimed to determine the effective trends and driving forces in the future of research performance evaluation. Methods: In this qualitative study, the trend analysis through scoping review and interview was done to identify the driving forces affecting the future of research performance evaluation. The scoping review was conducted according to PRISMA-ScR guidelines and searching of the international databases. The interviews were done face-to-face, by telephone, and on social media. MAXQDA version 10 and thematic analysis were used to analyze the interviews and documents. Results: In the scoping review step, a total of 6125 records were found through searching of the international databases and search engines. After removing 869 duplications, the title and abstract of 5256 records were screened. Finally, 42 records (41 English articles and 1 dissertation) were eligible for the study. In the interview step, 248 codes were assigned in nine main categories, 64 subcategories, and 47 dimensions. The trends included social (27 codes), technological (38 codes), economic (30 codes), environmental (5 codes), and political (44 codes) dimensions. Then, acquired information from two steps was synthesized, and the effective social, technological, economic, environmental, and political trends and driving forces were identified. Conclusion: The results showed that various social, technological, economic, environmental, and political factors and indicators must be included and normalized in the national and international research performance evaluation system.

Contribution of Iranian scholars to medical sciences: A holistic overview of 140-years publication.

Background: This study investigated the trends in the scientific output of Iran published in PubMed indexed journals. To the best of our knowledge, there was no previous study to examine the Iranian scientific output in all fields of health and biomedical sciences. Methods: Using a bibliometric approach, we tracked 140 years (between 1877 and 2016) of Iranian scientific productions in PubMed. The journals which papers widely published over them were analyzed. The metadata of journals was extracted from Web of Science (WoS), Scopus, and Scimago Journal & Country Rank. The Gross Domestic Product (GDP) data was elaborated from the World Bank to evaluate the relationship with research output. We used Pearson's correlation coefficient at p<0.01 significance level and reported the data in a scatterplot. Results: We identified 106 226 documents produced by Iranian authors in journals indexed in PubMed since 1877. The number of papers climbed dramatically in 2000 and afterward, and this was consistent with the country's GDP. Although the scientific contribution of Iranian researchers is remarkable, 67% of papers (26 978 out of 106 226) were published in local Journals categorized into quartile 3 and 4 of WoS and Scopus. The study shows that GDP growth has had a positive influence on publication output (r=0.738, p<0.001). Conclusion: This is the first study with a panorama view of Iran's contribution to biomedical literature. Based on the results of our survey, although the number of Iranian publications rose over time but they are mostly published in low ranked journals. Health policy-makers advise reconsidering the criteria for measuring research activities. Improving policies will help researchers to publish in higher ranked journals.

A systematized review on diabetes gamification.

Background: Gamification is an effective tool used to enhance the quality of education and training, to create motivation and enthusiasm, and to maintain competitiveness in the targeted population. Given that, the present study is an attempt to review gamification used in the field of diabetes systematically and its effects on the target group. Methods: Articles were retrieved from eight databases via an electronic advanced search. The data were imported to Endnote; and to assess the quality of the articles, PRISMA and CASP were used. Finally, according to the inclusion criteria, the appropriate articles were selected. Results: This study indicates that physical activity and nutrition were the most frequent diabetic subgroups in diabetes gamification. In addition, all diabetes gamification programs were designed to educate, teach skills and make behavior improvement in diabetics. Conclusion: Diabetes gamification have the capacity to change health behaviors among all age groups and can create an innovative, attractive and interactive learning environment accompanied by fun and engagement. Professor, Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran; Librarianship and Medical Information Science, Iran University of Medical Sciences, Tehran, Iran.

Factors affecting smartphone adoption for accessing information in medical settings.

OBJECTIVES: This study aimed to acquire knowledge about the factors affecting smartphone adoption for accessing information in medical settings in Iranian Hospitals. METHODS: A qualitative and quantitative approach was used to conduct this study. Semi-structured interviews were conducted with 21 medical residents and interns in 2013 to identify determinant factors for smartphone adoption. Afterwards, nine relationships were hypothesised. We developed a questionnaire to test these hypotheses and to evaluate the importance of each factor. Structural equation modelling was used to analyse the causal relations between model parameters and to accurately identify determinant factors. RESULTS: Eight factors were identified in the qualitative phase of the study, including perceived usefulness, perceived ease of use, training, internal environment, personal experience, social impacts, observability and job related characteristics. Among the studied factors, perceived usefulness, personal experience and job related characteristics were significantly associated with attitude to use a smartphone which accounted for 64% of the variance in attitude. Perceived usefulness had the strongest impact on attitude to use a smartphone. CONCLUSION: The factors that emerged from interviews were consistent with the Technology Acceptance Model (TAM) and some previous studies. TAM is a reliable model for understanding the factors of smartphone acceptance in medical settings.

The Top 100 Articles in the Medical Informatics: a Bibliometric Analysis.

The number of citations that a research paper receives can be used as a measure of its scientific impact. The objective of this study was to identify and to examine the characteristics of top 100 cited articles in the field of Medical Informatics based on data acquired from the Thomson Reuters' Web of Science (WOS) in October, 2016. The data was collected using two procedures: first we included articles published in the 24 journals listed in the "Medical Informatics" category; second, we retrieved articles using the key words: "informatics", "medical informatics", "biomedical informatics", "clinical informatics" and "health informatics". After removing duplicate records, articles were ranked by the number of citations they received. When the 100 top cited articles had been identified, we collected the following information for each record: all WOS database citations, year of publication, journal, author names, authors' affiliation, country of origin and topics indexed for each record. Citations for the top 100 articles ranged from 346 to 7875, and citations per year ranged from 11.12 to 525. The majority of articles were published in the 2000s (n=43) and 1990s (n=38). Articles were published across 10 journals, most commonly Statistics in medicine (n=71) and Medical decision making (n=28). The articles had an average of 2.47 authors. Statistics and biostatistics modeling was the most common topic (n=71), followed by artificial intelligence (n=12), and medical errors (n=3), other topics included data mining, diagnosis, bioinformatics, information retrieval, and medical imaging. Our bibliometric analysis illustrated a historical perspective on the progress of scientific research on Medical Informatics. Moreover, the findings of the current study provide an insight on the frequency of citations for top cited articles published in Medical Informatics as well as quality of the works, journals, and the trends steering Medical Informatics.

A qualitative study on personal information management (PIM) in clinical and basic sciences faculty members of a medical university in Iran.

BACKGROUND: Personal Information Management (PIM) refers to the tools and activities to save and retrieve personal information for future uses. This study examined the PIM activities of faculty members of Iran University of Medical Sciences (IUMS) regarding their preferred PIM tools and four aspects of acquiring, organizing, storing and retrieving personal information. METHODS: The qualitative design was based on phenomenology approach and we carried out 37 interviews with clinical and basic sciences faculty members of IUMS in 2014. The participants were selected using a random sampling method. All interviews were recorded by a digital voice recorder, and then transcribed, codified and finally analyzed using NVivo 8 software. RESULTS: The use of PIM electronic tools (e-tools) was below expectation among the studied sample and just 37% had reasonable knowledge of PIM e-tools such as, external hard drivers, flash memories etc. However, all participants used both paper and electronic devices to store and access information. Internal mass memories (in Laptops) and flash memories were the most used e-tools to save information. Most participants used "subject" (41.00%) and "file name" (33.7 %) to save, organize and retrieve their stored information. Most users preferred paper-based rather than electronic tools to keep their personal information. CONCLUSION: Faculty members had little knowledge about PIM techniques and tools. Those who organized personal information could easier retrieve the stored information for future uses. Enhancing familiarity with PIM tools and training courses of PIM tools and techniques are suggested.

Ranking Iranian biomedical research centers according to H-variants (G, M, A, R) in Scopus and Web of Science.

BACKGROUND: We conducted a comprehensive bibliometrics analysis to calculate the H, G, M, A and R indicators for all Iranian biomedical research centers (IBRCs) from the output of ISI Web of Science (WoS) and Scopus between 1991 and 2010. We compared the research performance of the research centers according to these indicators. METHODS: This was a cross-sectional and descriptive-analytical study, conducted on 104 Iranian biomedical research centers between August and September 2011. We collected our data through Scopus and WoS. Pearson correlation coefficient between the scientometrics indicators was calculated using SPSS, version 16. RESULTS: The mean values of all indicators were higher in Scopus than in WoS. Drug Applied Research Center of Tabriz University of Medical Sciences had the highest number of publications in both WoS and Scopus databases. This research center along with Royan Institute received the highest number of citations in both Scopus and WoS, respectively. The highest correlation was seen between G and R (.998) in WoS and between G and R (.990) in Scopus. Furthermore, the highest overlap of the 10 top IBRCs was between G and H in WoS (100%) and between G-R (90%) and H-R (90%) in Scopus. CONCLUSION: Research centers affiliated to the top ranked Iranian medical universities obtained a better position with respect to the studied scientometrics indicators. All aforementioned indicators are important for ranking bibliometrics studies as they refer to different attributes of scientific output and citation aspects.

The effective factors on the academic progress of the students of Tehran University of Medical Science.

OBJECTIVE: To examine factors influencing the academic performance of students at Tehran University of Medical Sciences. METHODS: The retrospective cross-sectional study was conducted between 2008 and 2009 at the Tehran University of Medical Sciences, Iran. Data was obtained from the education office of the university and SPSS version 15 was used for data analysis. RESULTS: Of the 670 students in the study, 230 (34.3%) were boys and 440 (65.6%) were girls.The highest mean score of courses belonged to the Psychiatry Institute (18.68) and the lowest was in the School of Medicine (15.20). Twenty nine per cent of students had failed course and 8.4% had failed semester. CONCLUSION: The variables gender, level of education, and school are the most important factors affecting the educational progress of students. Overall, students' failure ratios varied significantly between schools and educational levels.

Identifying and validating the components for the development of an information system for health grey literature in Iran: A mixed method approach.

BACKGROUND: Considering the importance and necessity of establishing a nationwide information system for health grey literature in Iran, this study aimed to identify the main dimensions and components needed for developing a health grey literature information system in Iran and validate them according to experts' opinions. MATERIALS AND METHODS: A mixed-method approach with an exploratory sequential design was used in this study. The research was done in following main steps: (1) conducting a systematic literature review to identify the potential components of the health grey literature information system suggested in the literature, (2) Interviewing 19 experts to explore further components required for designing the health grey literature system for Iran and doing a thematic analysis for analyzing the interviews, and (3) validating the identified components by a Delphi panel in two rounds for finalizing the initially-approved dimensions and components. Descriptive statistical analysis was also used for analyzing the Delphi panel's data. RESULTS: Eight dimensions were identified as necessary for developing Iran's health grey literature information system (including 31 components and 111 elements). The main dimensions included goals, data sources, minimum data set, data collection techniques, data content management procedures, quality control approaches, stakeholders, and management and policy-making. CONCLUSION: Using the identified and validated functional components in this study can be helpful In designing a health grey literature system that is of value for health policymakers and medical researchers as well as health information users.

A methodological quality review of citations of randomized controlled trials of diabetes type2 in leading clinical practice guidelines and systematic reviews.

Objective: Evaluate methodological quality of type 2 diabetes RCTs conducted in Iran and cited in clinical practice guidelines and systematic reviews and meta-analyses. Methods: We conducted a descriptive methodological quality review, analyzing 286 Randomized Controlled Trials (RCTs) on diabetes mellitus published in Iran from July 2004 to 2021. We searched six databases systematically and evaluated eligible articles using the CONSORT 2010 checklist for abstracts. Two investigators assessed the data using a 17-item checklist derived from CONSORT. Additionally, we examined the citations of each RCT in 260 clinical practice guidelines, with a specific focus on the adequate reporting of outcomes. Results: Out of 6667 articles, 286 analyzed. Poor reporting and failure to meet criteria observed. Only 3.8% cited in guidelines. Reporting rates: primary outcomes (41.9%), randomization (61.8%), trial recruitment (12.6%), blinding (50.8%). 27.9% cited in systematic reviews, 50.34% in systematic reviews and meta-analyses, 26.57% in meta-analyses. 67.8% of papers cited in systematic reviews. Adherence highest for participants, objective, randomization, intervention, outcome; lowest for recruitment, trial design, funding source, harms, and reporting primary outcomes. Conclusions: Poor methodological reporting and adherence to CONSORT checklist in evaluated RCTs, especially in methodological sections. Improvements needed for reliable and applicable results in guidelines, reviews, and meta-analyses. Inadequate outcome reporting challenges researchers, clinicians, and policymakers, impacting evidence-based decision-making. Urgent improvements in RCT registration necessary.

Research impact in randomized controlled trials of diabetes: an altmetric approach.

Purpose: This study aimed to assess the impact of research in randomized controlled trials (RCTs) of diabetes and explore the various subject areas related to diabetes that receive attention on social media platforms. Altmetric measures were utilized to collect and extract relevant data, providing valuable insights into the social reach and influence of clinical research beyond traditional citation-based metrics. Methods: The research focused on RCTs of diabetes involving at least one Iranian author, indexed in Scopus. Altmetric.com was employed to extract altmetric data, and the collected articles were categorized into 14 subject areas for individual analysis using STATA. Results: The analysis revealed that a majority of the diabetes studies examined nutrition, complications, treatment, genetics, basic mechanisms, and comorbidities of the disease. Conversely, subject areas such as diagnosis, education, gestational diabetes, psychology, physical activity, prevention, dentistry, and economics had fewer studies associated with them. Among social media platforms, Twitter, Facebook, Google+, and Reddit emerged as the most frequently mentioned platforms. Furthermore, Mendeley readership was identified as the preferred platform for engagement across several subject areas. Conclusions: The substantial number of social media mentions indicates a significant level of public interest and concern regarding diabetes. Social media platforms serve as effective tools for disseminating research findings from clinical trials. Altmetric data proves valuable to researchers and funding agencies seeking to comprehend the impact of their work, enabling them to allocate resources more effectively.

No study is ever flawless: A scoping review of common errors in biomedical manuscripts.

We conducted this scoping review of common errors identified by editors and reviewers of biomedical manuscripts. Errors includes items that a reviewer or editor might identify as needing correction. The errors were categorized by section of the manuscript: Introduction, Methods, Results, Discussion, and References. After screening 87 published studies, 16 papers were selected for data extraction. Of these 16 studies, the most frequently represented disciplines were Medicine (n = 5), Radiology (n = 2), and Psychiatry (n = 2). The most reported common errors included inappropriate study design, inadequate sample size, poor statistical analysis, and unclear and inadequate description of methods. Abstracts not reflecting the content of the paper were the most frequent general common error in biomedical manuscripts. The findings of this study offer one perspective on common errors in biomedical manuscripts and might be a useful guide for novice authors.