bims-librar Biomed News
on Biomedical librarianship
Issue of 2022–11–13
seventeen papers selected by
Thomas Krichel, Open Library Society
  1. LitCovid in 2022: an information resource for the COVID-19 literature.
  2. Going Digital: The Research Library and the Pandemic.
  3. Optimising database searching in pharmacy education.
  4. Database resources of the National Center for Biotechnology Information in 2023.
  5. Does the Use of Social Media Affect Online Health Information-Seeking Behaviors among Underserved African Americans in Rural Alabama?
  6. Pragmatic and open science-based solution to a current problem in the reporting of living systematic reviews.
  7. Justification of recommender systems results: a service-based approach.
  8. New Website Search Solution-Information at Your Fingertips.
  9. MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed.
  10. Research in the Time of COVID: Virtual Fellowships at the Linda Hall Library.
  11. Fellows Online: The User Experience.
  12. Readability and Suitability of Information Presented on a University Health Center Website.
  13. Readability, reliability and credibility of online patient information on skin grafts.
  14. Quality and accuracy of gastric cancer related videos in social media videos platforms.
  15. Understandability and Actionability of Available Video Information on YouTube Regarding Hemophilia: A Cross-Sectional Study.
  16. Is Online Video a Suitable Source to Obtain Sufficient and Useful Information About Peri-Implantitis?
  17. Analysis of YouTube Videos on Pregnant COVID-19 Patients During the Pandemic Period.
  1. Nucleic Acids Res. 2022 Nov 09. pii: gkac1005. [Epub ahead of print]
    LitCovid in 2022: an information resource for the COVID-19 literature.
    Qingyu Chen, Alexis Allot, Robert Leaman, Chih-Hsuan Wei, Elaheh Aghaarabi, John J Guerrerio, Lilly Xu, Zhiyong Lu.
      LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/)-first launched in February 2020-is a first-of-its-kind literature hub for tracking up-to-date published research on COVID-19. The number of articles in LitCovid has increased from 55 000 to ∼300 000 over the past 2.5 years, with a consistent growth rate of ∼10 000 articles per month. In addition to the rapid literature growth, the COVID-19 pandemic has evolved dramatically. For instance, the Omicron variant has now accounted for over 98% of new infections in the United States. In response to the continuing evolution of the COVID-19 pandemic, this article describes significant updates to LitCovid over the last 2 years. First, we introduced the long Covid collection consisting of the articles on COVID-19 survivors experiencing ongoing multisystemic symptoms, including respiratory issues, cardiovascular disease, cognitive impairment, and profound fatigue. Second, we provided new annotations on the latest COVID-19 strains and vaccines mentioned in the literature. Third, we improved several existing features with more accurate machine learning algorithms for annotating topics and classifying articles relevant to COVID-19. LitCovid has been widely used with millions of accesses by users worldwide on various information needs and continues to play a critical role in collecting, curating and standardizing the latest knowledge on the COVID-19 literature.
    DOI:  https://doi.org/10.1093/nar/gkac1005
  2. Technol Cult. 2022 ;63(4): 1137-1139
    Going Digital: The Research Library and the Pandemic.
    Benjamin Gross, Allison Marsh.
      
    DOI:  https://doi.org/10.1353/tech.2022.0160
  3. Int J Pharm Pract. 2022 Nov 10. pii: riac078. [Epub ahead of print]
    Optimising database searching in pharmacy education.
    Denise L Hope, Gary D Grant, Gary D Rogers, Michelle A King.
       OBJECTIVES: To determine the effectiveness of databases in a pharmacy education literature search.
    METHODS: Six databases (CINAHL, ERIC, Google Scholar, Ovid MEDLINE, Science Direct and Scopus) were compared for effectiveness in identifying pharmacy education literature. Articles were coded for database of retrieval and results cross-referenced. Sensitivity, precision and number of unique retrievals were calculated.
    KEY FINDINGS: Scopus yielded the highest sensitivity (65%) and precision (47%). The combination of three databases (Scopus, Science Direct and Google Scholar) identified 97% (n = 64) of 66 relevant articles.
    CONCLUSIONS: Pharmacy education literature searches require more than one database, ideally Scopus, Science Direct and Google Scholar.
    Keywords:  database; literature review; pharmacy education
    DOI:  https://doi.org/10.1093/ijpp/riac078
  4. Nucleic Acids Res. 2022 Nov 12. pii: gkac1032. [Epub ahead of print]
    Database resources of the National Center for Biotechnology Information in 2023.
    Eric W Sayers, Evan E Bolton, J Rodney Brister, Kathi Canese, Jessica Chan, Donald C Comeau, Catherine M Farrell, Michael Feldgarden, Anna M Fine, Kathryn Funk, Eneida Hatcher, Sivakumar Kannan, Christopher Kelly, Sunghwan Kim, William Klimke, Melissa J Landrum, Stacy Lathrop, Zhiyong Lu, Thomas L Madden, Adriana Malheiro, Aron Marchler-Bauer, Terence D Murphy, Lon Phan, Shashikant Pujar, Sanjida H Rangwala, Valerie A Schneider, Tony Tse, Jiyao Wang, Jian Ye, Barton W Trawick, Kim D Pruitt, Stephen T Sherry.
      The National Center for Biotechnology Information (NCBI) provides online information resources for biology, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. NCBI provides search and retrieval operations for most of these data from 35 distinct databases. The E-utilities serve as the programming interface for most of these databases. New resources include the Comparative Genome Resource (CGR) and the BLAST ClusteredNR database. Resources receiving significant updates in the past year include PubMed, PMC, Bookshelf, IgBLAST, GDV, RefSeq, NCBI Virus, GenBank type assemblies, iCn3D, ClinVar, GTR, dbGaP, ALFA, ClinicalTrials.gov, Pathogen Detection, antimicrobial resistance resources, and PubChem. These resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.
    DOI:  https://doi.org/10.1093/nar/gkac1032
  5. J Health Care Poor Underserved. 2022 ;33(4): 1949-1964
    Does the Use of Social Media Affect Online Health Information-Seeking Behaviors among Underserved African Americans in Rural Alabama?
    Hee Yun Lee, Kun Wang, Karen Johnson, Kefentse Kubanga, Areum Han, Eunyoung Choi.
       PURPOSE: This study aimed (1) to investigate levels of technology device access and social media use among African Americans in rural Alabama, (2) to examine the prevalence of online health information-seeking behaviors, and (3) to identify associations of technology device access and social media use with online health information-seeking behaviors.
    METHODS: A convenience sample of 185 African Americans aged 18 and older was recruited from a rural county in Alabama. Multilinear regression was conducted to examine the associations.
    RESULTS: Nearly 60% of participants had access to the internet, smartphone, and tablets/computers. The prevalence of online health information-seeking behaviors was low. Technology device access was not associated with online health information-seeking behaviors, while more social networking sites were associated with more online health information-seeking behaviors.
    CONCLUSION: Public health interventions are needed to promote internet use for health purposes among rural African Americans. Offline health information services should also target those lacking internet access.
    DOI:  https://doi.org/10.1353/hpu.2022.0147
  6. BMJ Evid Based Med. 2022 Nov 09. pii: bmjebm-2022-112019. [Epub ahead of print]
    Pragmatic and open science-based solution to a current problem in the reporting of living systematic reviews.
    Maria-Inti Metzendorf, Stephanie Weibel, Stefanie Reis, Steve McDonald.
      Living systematic reviews (LSRs) are an increasingly common approach to keeping reviews up to date, in which new relevant studies are incorporated as they become available, so as to inform healthcare policy and practice in a timely manner. While journal publishers have been exploring the publication of LSRs using different updating and publishing approaches, readers cannot currently assess if the evidence underpinning a published LSR is up to date, as neither the search details, the selection process, nor the list of identified studies is made available between the publication of updates. We describe a new method to transparently report the living evidence surveillance process that occurs between published LSR versions. We use the example of the living Cochrane Review on nirmatrelvir combined with ritonavir (Paxlovid) for preventing and treating COVID-19 to illustrate how this can work in practice. We created a publicly accessible spreadsheet on the Open Science Framework platform, linking to the living Cochrane Review, that details the search and study selection process, enabling readers to track the progress of eligible ongoing or completed studies. Further automation of the evidence surveillance process should be explored.
    Keywords:  COVID-19; Information Science; Methods; Systematic Reviews as Topic
    DOI:  https://doi.org/10.1136/bmjebm-2022-112019
  7. User Model User-adapt Interact. 2022 Oct 29. 1-43
    Justification of recommender systems results: a service-based approach.
    Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono.
      With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user's experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.
    Keywords:  Justification of recommender systems results; Service Blueprints; Service models
    DOI:  https://doi.org/10.1007/s11257-022-09345-8
  8. NASN Sch Nurse. 2022 Nov 07. 1942602X221135960
    New Website Search Solution-Information at Your Fingertips.
    Cynthia A Galemore.
      
    DOI:  https://doi.org/10.1177/1942602X221135960
  9. Front Big Data. 2022 ;5 965619
    MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed.
    Islam Akef Ebeid.
      Here we study the semantic search and retrieval problem in biomedical digital libraries. First, we introduce MedGraph, a knowledge graph embedding-based method that provides semantic relevance retrieval and ranking for the biomedical literature indexed in PubMed. Second, we evaluate our approach using PubMed's Best Match algorithm. Moreover, we compare our method MedGraph to a traditional TF-IDF-based algorithm. Third, we use a dataset extracted from PubMed, including 30 million articles' metadata such as abstracts, author information, citation information, and extracted biological entity mentions. We pull a subset of the dataset to evaluate MedGraph using predefined queries with ground truth ranked results. To our knowledge, this technique has not been explored before in biomedical information retrieval. In addition, our results provide some evidence that semantic approaches to search and relevance in biomedical digital libraries that rely on knowledge graph modeling offer better search relevance results when compared with traditional methods in terms of objective metrics.
    Keywords:  biomedical digital libraries; graph embedding; information retrieval; knowledge graph; natural language processing
    DOI:  https://doi.org/10.3389/fdata.2022.965619
  10. Technol Cult. 2022 ;63(4): 1140-1156
    Research in the Time of COVID: Virtual Fellowships at the Linda Hall Library.
    Benjamin Gross.
      When COVID-19 prevented scholars from traveling to libraries, archives, and museums, staff at those institutions devised creative strategies for providing remote access to their holdings. This article examines one such initiative launched by the Linda Hall Library of Science, Engineering, and Technology in Kansas City, Missouri. The Library's prioritization of print over archival materials, experience fulfilling document delivery requests, and investments in digitization infrastructure facilitated the transition to a completely virtual fellowship program during the 2021-22 academic year. Although virtual fellowships could not replicate every aspect of in-person residencies, they nonetheless supplied scholars with much-needed funding, research materials, and membership in a scholarly community. Based on the program's initial success, the Library plans to continue offering virtual fellowships to scholars otherwise unable to conduct research on site.
    DOI:  https://doi.org/10.1353/tech.2022.0161
  11. Technol Cult. 2022 ;63(4): 1157-1167
    Fellows Online: The User Experience.
    Allison Marsh.
      Several scholars give their perspective on the virtual fellowships they received from the Linda Hall Library of Science, Engineering, and Technology. Initially, Technology and Culture's public history editors wanted to host a roundtable with these scholars and publish the resulting conversation, but that proved difficult in pandemic-stressed times. Instead, Allison Marsh conducted individual interviews with recent fellows, collating the transcripts in an edited Q&A format. The result is not exactly a conversation, more an anthology of perspectives on the nature of historical research during the pandemic. The fellows unanimously praise the Linda Hall Library staff and the technical support they provided, but they have divergent opinions on the access and usefulness of digitized materials. Their responses show how technology and technical infrastructure fundamentally shape the research process.
    DOI:  https://doi.org/10.1353/tech.2022.0162
  12. Perspect Health Inf Manag. 2022 ;19(4): 1f
    Readability and Suitability of Information Presented on a University Health Center Website.
    Alice M Noblin, Richard I Zraick, Ann Neville Miller, Mary Schmidt-Owens, Michael Deichen, Kelly Tran, Raj Patel.
      This study evaluated the readability and suitability of a university health center public website. Readability formulas estimated the reading grade and age required for comprehension of health information. The Suitability Assessment of Materials (SAM) instrument determined adequacy of the webpages for the intended audience. Readability showed the reading grade level, representing the youngest reader able to process the material, ranged from 10.1 to 14.6, averaging 12.5 (midway through 12th grade in the US educational system). Full comprehension required higher education levels, up to postgraduate. Suitability scores for some webpages indicated deficiencies in readability, motivation to learn, and instructions for healthy behavior changes. Content on the website may be difficult for some students to comprehend based on the reading grade level, but overall suitability results are satisfactory. All webpage updates should bear these parameters in mind to ensure content is fully accessible to college students, faculty, and staff.
    Keywords:  college students; college website; health center; health literacy; readability; suitability
  13. Australas J Dermatol. 2022 Nov 10.
    Readability, reliability and credibility of online patient information on skin grafts.
    Chelsea L Heaven, Cheerag Patel, Omid Ahmadi, Jon A Mathy.
       BACKGROUND: Skin grafting reflects a common dermatological procedure for closing skin defects. Patient education is important for managing expectation and optimising skin graft take. While health information is increasingly accessed on the internet, there are no existing studies assessing their quality.
    METHODS: The first 25 results from Google, Microsoft Bing and Yahoo! search engines using the term 'skin graft' were analysed using a variety of standard instruments. Readability was assessed using the Flesch-Kincaid Grade score (FKG), Gunning Fog Index (GFI), Simple Measure of Gobbledygook (SMOG) and the New Dale-Chall Readability Index (NDC). Reliability was assessed using the DISCERN instrument and credibility with the Journal of the American Medical Association Benchmark Criteria (JAMA). Transparency was identified by presence of the Health On the Net Foundation Code certification (HON-code).
    RESULTS: Seventy-five websites were identified. After exclusion, forty-three remaining websites were analysed with average FKG, GFI and SMOG scores of 7.8, 10.1 and 10.7, respectively. The average NDC was 5.9. The average reliability was fair with a DISCERN score based on the first 15 questions of the instrument of 42.6. The mean JAMA score was 2, and 9 websites displayed the HON-code certificate.
    CONCLUSIONS: Readability, reliability and credibility of online health information regarding skin grafting can be improved. Health care providers should critically assess existing online patient information or develop alternative material to educate patients undergoing skin graft surgery.
    Keywords:  comprehension; literacy; patients; skin; transplants
    DOI:  https://doi.org/10.1111/ajd.13953
  14. BMC Public Health. 2022 Nov 05. 22(1): 2025
    Quality and accuracy of gastric cancer related videos in social media videos platforms.
    Ren-Hao Hu, Hai-Bin Zhang, Biao Yuan, Ke-Hui Zhang, Jia-Yi Xu, Xi-Mao Cui, Tao Du, Chun Song, Shun Zhang, Xiao-Hua Jiang.
       BACKGROUND: Gastric cancer is a major public health problem worldwide. Social media has affected public's daily lives in ways no one ever thought possible. Both TikoTok and its Chinese version Douyin are the most popular short video posting platform. This study aimed to evaluate the quality, accuracy, and completeness of videos for gastric cancer on TikTok and Douyin.
    METHODS: The terms "gastric cancer" was searched on TikTok in both English and Japanese, and on Douyin in Chinese. The first 100 videos in three languages (website's default setting) were checked. QUality Evaluation Scoring Tool (QUEST) and DISCERN as the instrument for assessing the quality of the information in each video. Content was analysed under six categories (aetiology, anatomy, symptoms, preventions, treatments, and prognosis). The educational value and completeness were evaluated with a checklist developed by the researchers.
    RESULTS: A total of 78 videos in English, 63 in Japanese, and 99 in Chinese were analyzed. The types of sources were as follows: 6.4% in English, 4.8% in Japanese, and 57.6% in Chinese for health professionals; 93.6% in English, 95.2% in Japanese, and 3.0% in Chinese for private users; none in English and Japanese, but 39.4% in Chinese for other sources. In all, 20.5% in English, 17.5% in Japanese, and 93.9% in Chinese of videos had useful information about gastric cancer. Among the useful videos, the videos published in Chinese had the highest QUEST(p < 0.05) and DISCERN scores(p < 0.05), followed by those published in Japanese. Among the educational videos, prognosis in English (37.5%), symptoms in Japanese (54.5%), and prevention in Chinese (47.3%) were the most frequently covered topic.
    CONCLUSIONS: TikTok in English and Japanese might not fully meet the gastric cancer information needs of public, but Douyin in Chinese was the opposite.
    Keywords:  Gastric cancer; Social media; Public health; Content analysis
    DOI:  https://doi.org/10.1186/s12889-022-14417-w
  15. Cureus. 2022 Oct;14(10): e29866
    Understandability and Actionability of Available Video Information on YouTube Regarding Hemophilia: A Cross-Sectional Study.
    I S Chaitanya Kumar, I Muni Srikanth, Anand Bodade, Amol Khade, Cheranjeevi Jayam, Tvn Sriranjitha, Anila Mani.
      Introduction With the advent of revolutionary information technology, most general medical information can be accessed by the community at large. However, the factual nature of information, its understandability, and actionability of diseases like Hemophilia are unknown to the general population. Hence the present study has been envisaged to assess the understandability and actionability of available video information on YouTube about Hemophilia. Methods A cross-sectional study was performed using the Patient Education Materials Assessment Tool for Audiovisual materials (PEMAT-AV) to assess the understandability and actionability of 50 videos shown by order of relevance utilizing three independent assessors. An online google survey was prepared using the PEMAT questionnaire as a basis and results were recorded and saved as a Microsoft Excel sheet for analysis. Data was analyzed using either Microsoft Excel or an online calculator as the case may be. Results A total of 50 short videos on Hemophilia were assessed by three independent assessors using PEMAT. The data so obtained was rechecked by an independent reviewer before data analysis. Three videos were excluded due to non-English language while only two videos out of 50 showed 100% average understandability and actionability. Average understandability and actionability scores range between 34 to 100 percent and 11.1 to 100 percent, respectively. Most videos have higher average understandability than actionability (P value=0.003). Conclusion Our study shows there are only a few high-quality short videos available as audio-visual patient education materials on YouTube about Hemophilia. There is a great need to develop content that is beneficial to patients as patient educational material.
    Keywords:  actionability; hemophilia; pemat score; understandability; videos; youtube
    DOI:  https://doi.org/10.7759/cureus.29866
  16. J Oral Maxillofac Surg. 2022 Oct 12. pii: S0278-2391(22)00908-9. [Epub ahead of print]
    Is Online Video a Suitable Source to Obtain Sufficient and Useful Information About Peri-Implantitis?
    Duygu Göller Bulut, Tuğçe Paksoy, Gülbahar Ustaoğlu.
       PURPOSE: Recently, with the increase in cases of peri-implantitis, the amount of data patients can receive via social media about the condition has increased. The study presented here aims to examine what online videos (YouTubeTM, Google LLC, San Bruno, California) offer patients searching for information about peri-implantitis and to evaluate the quality of the information presented.
    MATERIALS AND METHODS: In this cross-sectional study, a systematic search was conducted on online videos containing information about peri-implantitis using the keyword "peri-implantitis" by an experienced periodontologist. The source of videos, video type, duration, number of days since upload, number of views, comments, likes, dislikes, and interaction index of each video were recorded. Videos were scored as per its content; Score 0 (low content): videos with no description of clinical presentations, risk factors, or management options; Score 1 (moderate content): videos that described 1 clinical presentation and 1 etiologic factor and did not describe management options; Score 2 (high content): videos with the description of at least 2 clinical presentations, 2 etiologic factors, and 1 management option. The quality of each video evaluated using the Global Quality Scale and DISCERN. Data were analyzed with the Kruskal-Wallis test, Spearman's test, and multinomial logistic regression analysis. Intraobserver agreement was calculated as the intraclass correlation coefficient.
    RESULTS: The first 200 videos were screened and, after exclusions, 103 videos were included for further analysis. United States-based videos were the majority (14 videos), 46.6% of the videos uploaded by healthcare professionals, and 99% were in the educational videos category. Video content score 2 videos have higher mean values with 4,871.945 views, 6.002 comments, 50.729 likes, 7.751 viewing rate, and 0.023 interaction index than score 0 videos (P < .05). Statistically significant positive correlations were found between the video content score, Global Quality Scale, DISCERN, and the data showing the popularity and visibility of the videos (P < .01).
    CONCLUSIONS: Overall, half of the top-ranked online videos are valuable sources of information about peri-implantitis. Videos with high content are more popular and quality than videos with low content.
    DOI:  https://doi.org/10.1016/j.joms.2022.10.001
  17. Cureus. 2022 Oct;14(10): e29934
    Analysis of YouTube Videos on Pregnant COVID-19 Patients During the Pandemic Period.
    Ayhan Atigan.
       OBJECTIVE: Pregnant women often refer to YouTube videos when they are worried about themselves and/or their baby. This study aims to evaluate COVID-19 and pregnancy-related content on YouTube, the platform that comes to mind first when social media is mentioned.
    METHODS: YouTube videos were evaluated between September 7-10, 2022. "COVID-19 pregnancy" videos with more than 100.000 views were included in the study. The content and technical data of 45 videos were recorded. The videos were scored using the DISCERN score, Video Power Index (VPI), and Global Quality Scale (GQS).
    RESULTS: Of the 45 videos with a mean duration of 432 seconds, 32 (71.1%) of them originated in the USA, 38 (84.4%) of them were presented by healthcare workers, and 36 (80.0%) of them recommended vaccination. Accounts producing the videos had a mean of 3,037,619 subscribers. The videos we analyzed were viewed a mean of 522836 times. These videos had 9287 likes and 1891 comments. The DISCERN, VPI, and GQS mean scores of the videos were 32.36, 74.76, and 3.82, respectively.
    CONCLUSION: In order to correctly inform society about health problems, healthcare workers must make presentations on YouTube with a controlled mechanism. There is confusion about information on the internet, and people must acquire information selectively.
    Keywords:  coronavirus; covid-19 retro; pandemic; pregnancy; sars-cov-2; youtube
    DOI:  https://doi.org/10.7759/cureus.29934
This page is being maintained by Thomas Krichel. It was last updated on 2024‒11‒22 at 4:18.