bims-librar Biomed News
on Biomedical librarianship
Issue of 2022–06–12
twenty-one papers selected by
Thomas Krichel, Open Library Society
  1. Updated generic search filters for finding studies of adverse drug effects in Ovid medline and Embase may retrieve up to 90% of relevant studies.
  2. Avoiding searching for outcomes called for additional search strategies: A study of Cochrane review searches.
  3. Evaluating Professional Behavior Analysts' Literature Searches.
  4. A perspective on academic library middle management in the COVID era.
  5. Health sciences librarian research and instruction services in pandemic information environments.
  6. Interactive Similarity-Based Search of Clinical Trials.
  7. Is Your WebLitLegit? Finding Safe and Good Health Information on the Internet.
  8. MedSentinel - A Smart Sentinel for Biomedical Online Search Demonstrated by a COVID-19 Search.
  9. Publishing and literature search in the online era.
  10. Towards Automated Screening of Literature on Artificial Intelligence in Nursing.
  11. A comparative evaluation of biomedical similar article recommendation.
  12. Hybrid Methods of Bibliographic Coupling and Text Similarity Measurement for Biomedical Paper Recommendation.
  13. [Systematic reviews in fivesteps: III. Assessing the quality of the literature].
  14. Readability Analysis and Accessibility of Online Materials About Transgender Voice Care.
  15. YouTube as a source of information on systemic sclerosis.
  16. Quality Assessment of YouTube Videos as an Information Source for Testicular Torsion.
  17. An investigation of the reliability of YouTube videos on undescended testis.
  18. Quality and Content Analysis of Hallux Valgus Videos on YouTube®.
  19. Effective use of online COVID-19 information and eHealth information literacy among US university students.
  20. Reply to Hausner et al. Re: Use of text mining tools in the development of search strategies - Comparison of different approaches.
  21. Correction: Predictors of Health Information-Seeking Behavior: Systematic Literature Review and Network Analysis.
  1. Health Info Libr J. 2022 Jun 07.
    Updated generic search filters for finding studies of adverse drug effects in Ovid medline and Embase may retrieve up to 90% of relevant studies.
    Su Golder, Kelly Farrah, Monika Mierzwinski-Urban, Beth Barker, Anna Rama.
       BACKGROUND: The most current objectively derived search filters for adverse drug effects are 15 years old and other strategies have not been developed and tested empirically.
    OBJECTIVE: To develop and validate search filters to retrieve evidence on adverse drug effects from Ovid medline and Ovid Embase.
    METHODS: We identified systematic reviews of adverse drug effects in Epistemonikos. From these reviews, we collated their included studies which we then randomly divided into three tests and one validation set of records. We constructed a search strategy to maximise relative recall using word frequency analysis with test set one. This search strategy was then refined using test sets two and three and validated on the final set of records.
    RESULTS: Of 107 systematic reviews which met our inclusion criteria, 1948 unique included studies were available from medline and 1980 from Embase. Generic adverse drug effects searches in medline and Embase achieved 90% and 89% relative recall, respectively. When specific adverse effects terms were added recall was improved.
    CONCLUSION: We have derived and validated search filters that retrieve around 90% of records with adverse drug effects data in medline and Embase. The addition of specific adverse effects terms is required to achieve higher recall.
    Keywords:  Embase; evaluation; information retrieval; literature searching; medical subject headings (MeSH); methodological filters; search strategies
    DOI:  https://doi.org/10.1111/hir.12441
  2. J Clin Epidemiol. 2022 Jun 02. pii: S0895-4356(22)00137-8. [Epub ahead of print]
    Avoiding searching for outcomes called for additional search strategies: A study of Cochrane review searches.
    Tove Faber Frandsen, Michael Friberg Bruun Nielsen, Mette Brandt Eriksen.
       OBJECTIVE: A search strategy for a systematic review that use the PICO-model as framework, should include the population, the intervention(s), and the type(s) of study design. According to existing guidelines outcome should generally be excluded from the search strategy unless the search is multistranded. However, a recent study found that approximately 10% (51) of recent Cochrane reviews on interventions included outcomes in their literature search strategies. This study aims to analyze the alternatives to including outcome in a search strategy, by analyzing these recent Cochrane reviews.
    STUDY DESIGN: This study analyses the 51 Cochrane reviews that included outcomes in their literature search strategies and analyzes the results of alternative search strategies that follow current recommendations.
    RESULTS: Despite a small study sample of 51 reviews, the results show that many of the reviews excluded some of the recommended elements due to very broadly defined elements (e.g., all interventions or all people). Furthermore, excluding outcome from the search strategy is followed by an enormous increase in the number of retrieved records making it unmanageable to screen, if using a single stranded search strategy.
    CONCLUSION: Recommendations for search strategies in difficult cases are called for.
    DOI:  https://doi.org/10.1016/j.jclinepi.2022.05.015
  3. Behav Anal Pract. 2022 Jun 03. 1-12
    Evaluating Professional Behavior Analysts' Literature Searches.
    Nicole L Bank, Einar T Ingvarsson, Trenton J Landon.
      The first section of the new Behavior Analyst Certification Board's Ethics Code for Behavior Analysts (BACB, 2020) includes the expectation that behavior analysts will maintain competence by reading relevant literature. The purpose of the current study was to evaluate to what extent professional behavior analysts search for and access the behavior analytic literature. A survey invitation was sent through the Behavior Analyst Certification Board and social media outlets at the end of 2020; 180 professionals responded. Roughly 80% of participants searched for research at least once per month. The top three online resources used were academic web search (72.7%), a university library subscription (65.6%), and the BACB research resource (65.6%). Forty-five percent of all participants indicated satisfaction with the research resources available to them. A series of independent samples t-test and analysis of variance (ANOVA) were conducted to determine group differences. Participants with doctorates searched more frequently and reported higher satisfaction and confidence across all tested domains. Participants using a university library reported more frequent literature searches, a higher skill level in conducting searches, more confidence in their ability to conduct a meaningful literature search, more satisfaction with the research resources available to them, and were more likely to report that the identified research would inform their practice.
    Keywords:  BACB; Evidence-based practice; Literature search; Professional practice
    DOI:  https://doi.org/10.1007/s40617-022-00720-w
  4. Journal of academic librarianship. 2022 Jul;48(4): 102559
    A perspective on academic library middle management in the COVID era.
    Vivian Bynoe.
      Middle managers in academic libraries are often the first point of contact for employees within their departments. Middle managers work as colleagues, advocates, and project managers. While the responsibilities may vary between institutions, it is essential that middle managers develop leadership skills to function effectively in their positions. In the era of COVID-19, middle managers must reconcile their own expectations of their role with the changing needs and responsibilities of those they manage. COVID-19 is a complex phenomenon that has brought many issues such as health and social inequity to the forefront. These issues should be considered in leadership techniques that are utilized by middle managers in academic libraries. When leading a department, the manager must consider the whole person. This column will discuss several leadership styles that consider the whole person and can be effective for academic library middle managers as they navigate the complexities of their positions in the COVID-19 Era.
    Keywords:  Academic libraries; COVID-19; Leadership styles; Library leadership; Library management; Middle mangers
    DOI:  https://doi.org/10.1016/j.acalib.2022.102559
  5. Journal of academic librarianship. 2022 Jul;48(4): 102553
    Health sciences librarian research and instruction services in pandemic information environments.
    Deborah H Charbonneau, Emily Vardell.
      This study examined research and instruction services provided by academic health sciences librarians in the United States during the COVID-19 pandemic. A total of 205 respondents (N = 205) completed an anonymous online survey about academic health sciences librarian involvement in providing research and instruction services during the global pandemic. In-depth literature searching services (86%, n = 176), curated COVID-19 research through guides (66%, n = 135), and systematic review consultations (53%, n = 109) were reported as the top three research services in demand. Librarians supported online teaching and learning at their institutions by providing online instruction for a course (92%, n = 189), facilitating access to licensed resources (73%, n = 150), and identifying open access and open educational resources (62%, n = 127). Overall, this study contributes to understanding pandemic-responsive academic library services to meet the unique needs of health sciences education and research in evolving COVID-19 pandemic information environments.
    Keywords:  Academic libraries; COVID-19; Health; Instruction; Library services; Online teaching and learning; Pandemic; Research support
    DOI:  https://doi.org/10.1016/j.acalib.2022.102553
  6. Stud Health Technol Inform. 2022 Jun 06. 290 309-313
    Interactive Similarity-Based Search of Clinical Trials.
    Yingcheng Sun, Jiaqi Tang, Alex Butler, Cong Liu, Yilu Fang, Chunhua Weng.
      The rapid growth of clinical trials launched in recent years poses significant challenges for accurate and efficient trial search. Keyword-based clinical trial search engines require users to construct effective queries, which can be a difficult task given complex information needs. In this study, we present an interactive clinical trial search interface that retrieves trials similar to a target clinical trial. It enables user configuration of 13 clinical trial features and 4 metrics (Jaccard similarity, semantic-based similarity, temporal overlap and geographical distance) to measure pairwise trial similarities. Among 1,007 coronavirus disease 2019 (COVID-19) trials conducted in the United States, 91.9% were found to have similar trials with the similarity threshold being 0.85 and 43.8% were highly similar with the threshold 0.95. A simulation study using 3 groups of similar trials curated by COVID-19 clinical trial reviews demonstrates the precision and recall of the search interface.
    Keywords:  Clinical Trial; Information Retrieval; Similarity Search
    DOI:  https://doi.org/10.3233/SHTI220085
  7. Health Lit Res Pract. 2022 Apr;6(2): e151-e158
    Is Your WebLitLegit? Finding Safe and Good Health Information on the Internet.
    Teresa Wagner, Carol J Howe, Brennan Lewis, Tracine Adame.
       BACKGROUND: There exists a paucity of literature about teenager health literacy in general and teenagers are likely to turn to the internet for health information. Therefore, they need good e-health literacy to properly understand and apply the information obtained. Yet, many have limited e-health literacy, lacking the knowledge and skills to filter and distinguish reliable from unreliable health information and searches return large amounts of information, making it difficult to recognize whether information is reputable and raising concerns regarding teenagers' safety. Brief Description of Activity: We developed a toolkit in collaboration with community-based organizations serving teenagers and teenagers themselves usable with brief training to present a 1-hour, interactive workshop. We transformed current adult information for locating and appraising online health information into a teenager friendly format using relevant health topics to engage participants.
    IMPLEMENTATION: We met teenagers in teenager-friendly settings where they already gather to engage them and leverage the relationship fostered within those settings to bridge positive and negative social determinant influences on health literacy and e-health literacy as well as cross potential cultural, economic, political, and demographic barriers. Using the "train the trainer" method to build sustainability, we trained teenagers and group leaders to use the toolkit to run workshops with teenagers and placed the components in an easily available online format.
    RESULTS: After completing the workshop, teenager participants expressed a high level of confidence in using Medline Plus, locating health information online, identifying Truth versus Trash and making health decisions. Most teenagers reported they would recommend the WebLitLegit workshop to their friends and it improved their ability to find credible online health information.
    LESSONS LEARNED: The workshop's practical application provided participants with real-life examples for evaluating online information using the "LEGIT" acronym. The integration of this community-based program fostered relationships between the teenager participants, community organizations, and university students and faculty. All of the organizations involved benefited through exposure to health literacy concepts and knowledge of evaluation criteria, which may help expand e-health literacy in the community because the students, teenagers, and community partners are able to sustainably share the toolkit within their social network. [HLRP: Health Literacy Research and Practice. 2022;6(2):e151-e158.] Plain Language Summary: Teenagers use the internet to find health information but have difficulty deciding if the information is correct and safe. WebLitLegit workshops help teenagers find correct and safe information to make health decisions. Teenagers completing the workshop thought their ability to find correct information and make good health decisions improved. This best practice adds to the literature by addressing needed teenager e-health literacy.
    DOI:  https://doi.org/10.3928/24748307-20220516-01
  8. Stud Health Technol Inform. 2022 Jun 06. 290 278-281
    MedSentinel - A Smart Sentinel for Biomedical Online Search Demonstrated by a COVID-19 Search.
    Reto Schölly, Suhail Yazijy, Philipp Kellmeyer.
      We present a work-in-progress software project which aims to assist cross-database medical research and knowledge acquisition from heterogeneous sources. Using a Natural Language Processing (NLP) model based on deep learning algorithms, topical similarities are detected, going beyond measures of connectivity via citation or database suggestion algorithms. A network is generated based on the NLP-similarities between them, and then presented within an explorable 3D environment. Our software will then generate a list of publications and datasets which pertain to a certain topic of interest, based on their level of similarity in terms of knowledge representation.
    Keywords:  Data Mining (D057225); Information Services (D007255); Knowledge Bases (D051188)
    DOI:  https://doi.org/10.3233/SHTI220078
  9. J Anim Breed Genet. 2022 07;139(4): 367-368
    Publishing and literature search in the online era.
    Ignacy Misztal.
      
    DOI:  https://doi.org/10.1111/jbg.12724
  10. Stud Health Technol Inform. 2022 Jun 06. 290 637-640
    Towards Automated Screening of Literature on Artificial Intelligence in Nursing.
    Hans Moen, Dari Alhuwail, Jari Björne, Lori Block, Sven Celin, Eunjoo Jeon, Karl Kreiner, James Mitchell, Gabriela Ožegović, Charlene Esteban Ronquillo, Lydia Sequeira, Jude Tayaben, Maxim Topaz, Sai Pavan Kumar Veeranki, Laura-Maria Peltonen.
      We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually screened article abstracts before using it to identify additional articles on the same topic. Here the focus is on articles related to the topic "artificial intelligence in nursing". Eight text classification methods are tested, as well as two simple ensemble systems. The results indicate that it is feasible to use text classification technology to support the manual screening process of article abstracts when conducting a literature review. The best results are achieved by an ensemble system, which achieves a F1-score of 0.41, with a sensitivity of 0.54 and a specificity of 0.96. Future work directions are discussed.
    Keywords:  Natural Language Processing; Nursing; Review
    DOI:  https://doi.org/10.3233/SHTI220155
  11. J Biomed Inform. 2022 Jun 02. pii: S1532-0464(22)00122-8. [Epub ahead of print] 104106
    A comparative evaluation of biomedical similar article recommendation.
    Li Zhang, Wei Lu, Haihua Chen, Yong Huang, Qikai Cheng.
       BACKGROUND: Biomedical sciences, with their focus on human health and disease, have attracted unprecedented attention in the 21st century. The proliferation of biomedical sciences has also led to a large number of scientific articles being produced, which makes it difficult for biomedical researchers to find relevant articles and hinders the dissemination of valuable discoveries. To bridge this gap, the research community has initiated the article recommendation task, with the aim of recommending articles to biomedical researchers automatically based on their research interests. Over the past two decades, many recommendation methods have been developed. However, an algorithm-level comparison and rigorous evaluation of the most important methods on a shared dataset is still lacking.
    METHOD: In this study, we first investigate 15 methods for automated article recommendation in the biomedical domain. We then conduct an empirical evaluation of the 15 methods, including six term-based methods, two word embedding methods, three sentence embedding methods, two document embedding methods, and two BERT-based methods. These methods are evaluated in two scenarios: article-oriented recommenders and user-oriented recommenders, with two publicly available datasets: TREC 2005 Genomics and RELISH, respectively.
    RESULTS: Our experimental results show that the text representation models BERT and BioSenVec outperform many existing recommendation methods (e.g., BM25, PMRA, XPRC) and web-based recommendation systems (e.g., MScanner, MedlineRanker, BioReader) on both datasets regarding most of the evaluation metrics, and fine-tuning can improve the performance of the BERT-based methods.
    CONCLUSIONS: Our comparison study is useful for researchers and practitioners in selecting the best modeling strategies for building article recommendation systems in the biomedical domain. The code and datasets are publicly available.
    Keywords:  BERT; biomedical article recommendation; methodological comparison; model evaluation; modeling strategy; text representation
    DOI:  https://doi.org/10.1016/j.jbi.2022.104106
  12. Stud Health Technol Inform. 2022 Jun 06. 290 287-291
    Hybrid Methods of Bibliographic Coupling and Text Similarity Measurement for Biomedical Paper Recommendation.
    Hongmei Guo, Zhesi Shen, Jianxun Zeng, Na Hong.
      The amount of available scientific literature is increasing, and studies have proposed various methods for evaluating document-document similarity in order to cluster or classify documents for science mapping and knowledge discovery. In this paper, we propose hybrid methods for bibliographic coupling (BC) and linear evaluation of text or content similarity: We combined BC with BM25, Cosine, and PMRA to compare their performances with single methods in paper recommendation tasks using TREC Genomics Track 2005datasets. For paper recommendation, BC and text-based methods complement each other, and hybrid methods were better than single methods. The combinations of BC with BM25 and BC with Cosine performed better than BC with PMRA. The performances were best when the weights of BM25, Cosine, and PMRA were 0.025, 0.2, and 0.2, respectively, in hybrid methods. For paper recommendation, the combinations of BC with text-based methods were better than BC or text-based methods used alone. The choice of method should depend on the actual data and research needs. In the future, the underlying reasons for the differences in performance and the specific part or type of information they complement in text clustering or recommendation need to be examined.
    Keywords:  Citation-based methods; hybrid methods; text-based methods
    DOI:  https://doi.org/10.3233/SHTI220080
  13. Semergen. 2022 Jun 05. pii: S1138-3593(22)00132-0. [Epub ahead of print]
    [Systematic reviews in fivesteps: III. Assessing the quality of the literature].
    K S Khan, A Bueno Cavanillas, J Zamora.
      Study quality assessment plays a key role in every step of the process when conducting a systematic review. Checklists are used to perform an accurate quality assessment. They include generic questions relevant to the design of the studies included in the review. The checklist items can be modified in relation to the question-specific components related to participants, interventions and outcomes. Quality assessment is used to describe the selected studies, explain heterogeneity, decide on the feasibility of undertaking a meta-analysis, assess the strength of the collated evidence, and make recommendations for future research.
    Keywords:  Checklist; Evaluación de calidad; Heterogeneidad; Heterogeneity; Lista de comprobación; Quality assessment; Revisión sistemática; Riesgo de sesgo; Risk of bias; Systematic review
    DOI:  https://doi.org/10.1016/j.semerg.2022.05.001
  14. Otolaryngol Head Neck Surg. 2022 Jun 07. 1945998221103466
    Readability Analysis and Accessibility of Online Materials About Transgender Voice Care.
    Walker J Magrath, Matthew Shneyderman, Tom K Bauer, Paula Neira, Simon Best, Lee M Akst.
       OBJECTIVE: To determine readability, understandability, and actionability of online health information related to transgender voice care.
    STUDY DESIGN: Review of online materials.
    SETTING: Academic medical center.
    METHODS: A Google search of "transgender voice care" was performed with the first 50 websites meeting inclusion criteria included. Readability was assessed using the Flesch Reading Ease Score (FRES), Flesch-Kincaid Grade Level (FKGL), and the Simple Measure of Gobbledygook (SMOG). Understandability and actionability were measured by 2 independent reviewers using the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P). Unpaired t tests were used to compare clinician- and patient-oriented sites, surgical and nonsurgical sites, and sites that discuss nonbinary indications for voice care. Analysis of variance was used to compare sites that discuss voice feminization, masculinization, both, or neither.
    RESULTS: Average scores across the cohort for FRES, FKGL, and SMOG were 43.77 ± 13.52, 12.14 ± 2.66, and 11.30 ± 1.93, respectively, indicating materials were above a 12th-grade reading level. PEMAT-P scores for understandability and actionability were 64.95% ± 15.78% and 40.55% ± 23.86%, respectively. Patient-oriented sites were significantly more understandable and actionable than clinician-oriented sites (P < .02). Websites that discussed only voice feminization were significantly more readable according to objective metrics (FKGL, SMOG) than websites that discussed both feminization and masculinization or those that did not differentiate care types (P < .05).
    CONCLUSION: Online information written about transgender voice care is written at a level above what is recommended for patient education materials. Providers may improve accessibility of transgender voice care by enhancing readability of online materials.
    Keywords:  Flesch Reading Ease Score; Flesch-Kincaid Grade Level; Patient Education Materials Assessment Tool for Printable Materials; readability; transgender; voice surgery; voice therapy
    DOI:  https://doi.org/10.1177/01945998221103466
  15. Int J Rheum Dis. 2022 Jun 06.
    YouTube as a source of information on systemic sclerosis.
    Cagri Unal-Ulutatar, Firat Ulutatar.
       AIM: YouTube is a popular online platform which patients and healthcare professionals often use to obtain information. However, the reliability and quality of videos on systemic sclerosis are not known.
    METHOD: We searched for the key words "systemic sclerosis" and "scleroderma" on YouTube. Features of videos such as the number of views and duration of videos were noted. The reliability and quality of videos were assessed with the modified DISCERN and Global Quality Scale (GQS), respectively. The videos were divided into three categories: useful, misleading and patient experiences. The videos were assessed according to these categories and their quality.
    RESULTS: A total of 200 videos listed by relevance were screened and 115 videos which met the inclusion criteria were analyzed further. Eighty-four (73%) of the 115 videos were useful, 20 (17.4%) were misleading, and 11 (9.6%) were patients' experiences. Useful videos had higher DISCERN and GQS scores compared to misleading videos and videos that contain patient experiences (P < 0.001). High-quality videos were mostly uploaded by academic institutions/professional organizations or physicians.
    CONCLUSIONS: The majority of YouTube videos have useful information on scleroderma and are important educational sources for both patients and physicians. However, patients in particular should be aware that videos might include advertisements and misleading information.
    Keywords:  YouTube; information; scleroderma; systemic sclerosis; video analysis
    DOI:  https://doi.org/10.1111/1756-185X.14363
  16. Front Public Health. 2022 ;10 905609
    Quality Assessment of YouTube Videos as an Information Source for Testicular Torsion.
    Gaochen Bai, Xi Pan, Tianxin Zhao, Xiong Chen, Guochang Liu, Wen Fu.
       Background: Testicular torsion is an acute scrotal disease requiring urgent management, and the COVID-19 pandemic has been demonstrated to lead to poor outcomes for this disease. Presently, many people tend to seek health information via YouTube. This study aims to quantitatively assess the quality of English YouTube video content as an information source of testicular torsion.
    Methods: In this cross-sectional study, a search was performed with the search term "testicular torsion" on YouTube, and the first 100 videos listed by relevance were selected for our analysis. Duplicate, non-English, videos without audio and surgical videos were excluded. Video features (duration, number of days online, views, likes, comments), source of the video, and author's country were collected. Each video included in the study was assessed using DISCERN and Journal of the American Medical Association (JAMA) Benchmark Criteria. A correlation analysis was performed considering video features, video source, DISCERN scores and JAMA scores.
    Results: A total of 66 videos were included and analyzed. The most common video content was general information, including etiology, symptoms, and treatment. The majority of videos were from education and training websites (30%), physicians (23%), and independent users (21%). The mean DISCERN and JAMA scores were 36.56 and 2.68, respectively. According to DISCERN, the quality of video uploaded by physicians was relatively high (P < 0.001), and the quality of video uploaded by independent users was relatively low (P < 0.001). The JAMA score had no relevance to the video source (P = 0.813). The correlation between the video features, DISCERN and JAMA scores was controversial by different assessment methods.
    Conclusions: Despite most of the videos on YouTube being uploaded by medical or education-related authors, the overall quality was poor. The misleading, inaccurate and incomplete information may pose a health risk to the viewers, especially during the COVID-19 pandemic. Much effort needs to be undertaken to improve the quality of health-related videos regarding testicular torsion.
    Keywords:  DISCERN; YouTube; internet; quality; testicular torsion
    DOI:  https://doi.org/10.3389/fpubh.2022.905609
  17. J Pediatr Urol. 2022 May 13. pii: S1477-5131(22)00168-1. [Epub ahead of print]
    An investigation of the reliability of YouTube videos on undescended testis.
    Tanju Keten, Anıl Erkan.
       INTRODUCTION AND OBJECTIVE: There are thousands of patient information videos published on YouTube, the most watched video sharing platform; however, most of these videos contain incomplete or incorrect information. Interestingly, some videos with incomplete or incorrect information have a higher view rate. This study aimed to evaluate the quality of patient information videos on 'undescended testis' published on YouTube.
    MATERIAL AND METHOD: A search was conducted on YouTube using the keywords 'undescended testis' and 'cryptorchidism', and a total of 373 videos were found. Among these, 122 patient information videos presented in the English language were examined. Four different scoring systems were used to evaluate the quality of the videos: Patient Education Materials Assessment Tool for Audiovisual Materials, Global Quality Score, Journal of American Medical Association score, and modified DISCERN scoring system. Whether the videos contained accurate and sufficient information was evaluated using a scoring system developed based on the patient information booklet prepared by the European Association of Urology (EAU) on undescended testis.
    RESULTS: The median duration (sec), number of views and number of likes of the videos were 269 (11-2484), 589 (6-1.563561) and 7 (0-4.200), respectively. According to the EAU-patient information scoring (EAU-PIS), while 32 (26.2%) of the total 122 videos contained a good level of informativeness (score: 8-10), the view rate of these videos was only 4.1% among all videos. When the top 10 most watched videos were evaluated, their mean EAU-PIS was 5.9 ± 2.81, and these videos contained a moderate level of informativeness. On the positive side, 90% of all the videos recommended surgery as a treatment option.
    DISCUSSION: Although YouTube is a widely used video-sharing platform, it is also a website where people or institutions can easily upload non-standardized videos due to the absence of regulations. Therefore, although it is an easily accessible source of information, it has many gaps in terms of reliability. As shown in our study, the rate of videos with accurate information was very low. It would be beneficial for viewers to be aware of this and accept YouTube as a source where they can have a general idea about a subject in which they are interested rather than using it as a reference information site. In future, YouTube can become a reference source in the medical field, especially with the standardization of medical videos through the collaboration of various organizations.
    Keywords:  Cryptorchidism; Testis; Undescended
    DOI:  https://doi.org/10.1016/j.jpurol.2022.04.021
  18. J Foot Ankle Surg. 2022 May 15. pii: S1067-2516(22)00150-8. [Epub ahead of print]
    Quality and Content Analysis of Hallux Valgus Videos on YouTube®.
    Sezgin Bahadır Tekin, Bahri Bozgeyik.
      Our aim in this study is to analyze the content and quality of the videos about hallux valgus on YouTube®. The first 50 videos published by typing "hallux valgus" in the search engine on the YouTube® site were analyzed. The number of views of all videos, likes, dislikes, who uploaded the video, video duration, content, watch rate, and how many days it was uploaded were analyzed and recorded. All videos were analyzed with Journal of the American Medical Association (JAMA), DISCERN, GQS, and VPI scores. Six of the videos (12%) were from academic sources, 14 (28%) from commercial product vendors, 13 (26%) by medical animation organizers, 8 (16%) by physicians, 4 (8%) by physiotherapists, 2 (4%) by physical training trainers, 1 (2%) by patients, and last 2 (4%) by trainers. The JAMA mean score of the videos was recorded as 2 (1-4), GQS 3.02 (2-5), DISCERN score 37.56 (26-68), and Video Power Index 41.35 (0-470). The quality of YouTube® videos about hallux valgus is low. The content and quality of health-related information obtained through the Internet are of increasing importance for both healthcare professionals and patients.
    Keywords:  YouTube®; hallux valgus; quality videos
    DOI:  https://doi.org/10.1053/j.jfas.2022.05.003
  19. J Am Coll Health. 2022 Jun 03. 1-8
    Effective use of online COVID-19 information and eHealth information literacy among US university students.
    Yulong Gu, Zornitsa Kalibatseva, Xu Song, Sreelekha Prakash.
      Objective: This study aimed to understand students' ability to search the Internet for COVID-19 information and apply it to evaluate the veracity of specific statements. Participants: Undergraduate students (N = 239) at a US university completed a Web-based questionnaire in September-October 2020. Methods: The questionnaire included self-reported measures of online health information literacy, COVID-19 knowledge, and anxiety along with exercises on searching and evaluating COVID information online. Results: Students reported moderate levels of information literacy (76%, 3.8 out of 5), but did not perform as well while searching the Internet for COVID-19 information (average accuracy: 65%, 10.5 out of 16 points). Students with higher Internet exercise scores reported higher GPA, higher household income, and liberal political views, and were more likely to follow public health measures [ie, social distancing, mask wearing, and not self-medicating with (hydroxy)chloroquine]. Conclusions: University students may overestimate their information literacy while struggling with searching the Internet for accurate COVID-19 information.
    Keywords:  COVID-19; Suggesting: Internet; eHealth; information literacy
    DOI:  https://doi.org/10.1080/07448481.2022.2080505
  20. J Clin Epidemiol. 2022 Jun 07. pii: S0895-4356(22)00132-9. [Epub ahead of print]
    Reply to Hausner et al. Re: Use of text mining tools in the development of search strategies - Comparison of different approaches.
    Robin A Paynter, Robin Featherstone, Elizabeth Stoeger, Celia Fiordalisi, Christiane Voisin, Gaelen P Adam.
      
    DOI:  https://doi.org/10.1016/j.jclinepi.2022.05.010
  21. J Med Internet Res. 2022 Jun 03. 24(6): e39705
    Correction: Predictors of Health Information-Seeking Behavior: Systematic Literature Review and Network Analysis.
    Ardalan Mirzaei, Parisa Aslani, Edward Joseph Luca, Carl Richard Schneider.
      [This corrects the article DOI: 10.2196/21680.].
    DOI:  https://doi.org/10.2196/39705
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