bims-librar Biomed News
on Biomedical librarianship
Issue of 2020‒04‒05
thirteen papers selected by
Thomas Krichel
Open Library Society


  1. J Clin Epidemiol. 2020 Mar 27. pii: S0895-4356(19)31063-7. [Epub ahead of print]
    Cooper C, Snowsill T, Worsley C, Prowse A, O'Mara-Eves A, Greenwood H, Boulton E, Strickson A.
      OBJECTIVE: To compare the effectiveness and efficiency of methods used to identify and export conference abstracts into a bibliographic management tool.STUDY DESIGN AND SETTING: Case study. The effectiveness and efficiency of methods to identify and export conference abstracts presented at the American Society of Hematology (ASH) conference 2016-2018 for a systematic review were evaluated. A reference standard handsearch of conference proceedings was compared to: 1) contacting Blood (the journal who report ASH proceedings); 2) keyword searching; 3) searching Embase; 4) searching MEDLINE via EndNote; and 5) searching CPCI-S. Effectiveness was determined by the number of abstracts identified compared with the reference standard, while efficiency was a comparison between the resources required to identify and export conference abstracts compared to the reference standard.
    RESULTS: 604 potentially eligible and 15 confirmed eligible conference abstracts (abstracts included in the review) were identified by the handsearch. Comparator 2 was the only method to identify all abstracts and it was more efficient than the reference standard. Comparators 1, and 3-5 missed a number of eligible abstracts.
    CONCLUSION: This study raises potentially concerning questions about searching for conferences' abstracts by methods other than directly searching the original conference proceedings. Efficiency of exporting would be improved if journals permitted bulk downloads.
    DOI:  https://doi.org/10.1016/j.jclinepi.2020.03.013
  2. Interact J Med Res. 2020 Mar 30. 9(1): e16606
    Schoeb D, Suarez-Ibarrola R, Hein S, Dressler FF, Adams F, Schlager D, Miernik A.
      BACKGROUND: Mapping out the research landscape around a project is often time consuming and difficult.OBJECTIVE: This study evaluates a commercial artificial intelligence (AI) search engine (IRIS.AI) for its applicability in an automated literature search on a specific medical topic.
    METHODS: To evaluate the AI search engine in a standardized manner, the concept of a science hackathon was applied. Three groups of researchers were tasked with performing a literature search on a clearly defined scientific project. All participants had a high level of expertise for this specific field of research. Two groups were given access to the AI search engine IRIS.AI. All groups were given the same amount of time for their search and were instructed to document their results. Search results were summarized and ranked according to a predetermined scoring system.
    RESULTS: The final scoring awarded 49 and 39 points out of 60 to AI groups 1 and 2, respectively, and the control group received 46 points. A total of 20 scientific studies with high relevance were identified, and 5 highly relevant studies ("spot on") were reported by each group.
    CONCLUSIONS: AI technology is a promising approach to facilitate literature searches and the management of medical libraries. In this study, however, the application of AI technology lead to a more focused literature search without a significant improvement in the number of results.
    Keywords:  artificial intelligence; literature review; medical information technology
    DOI:  https://doi.org/10.2196/16606
  3. Health Info Libr J. 2020 Apr 03.
    Barker E, Phillips V.
      Academic librarians with teaching responsibility have traditionally delivered training in discovering and organising information. However, in recent years, there has been an increased emphasis on supporting researchers through all stages of the research lifecycle. While librarians are ideally placed to provide training in writing for publication and presentation of research, very few in the United Kingdom appear to be doing so. However, there are clear benefits to teaching these subjects. Based on feedback from faculty on user needs, the University of Cambridge Medical Library's training programme was expanded to include training and support in the publication and presentation of research outputs. This article recounts the process by which the new courses were developed, and the techniques used by the library's teaching staff to gain understanding of conventions and requirements of forms of written communication with which they were unfamiliar. It also evaluates the impact of the new courses, discusses next steps and provides advice for other librarians wishing to develop similar courses. D.I.
    Keywords:  education; education and training; health professionals; library outreach; library services; research and development; research skills; teaching
    DOI:  https://doi.org/10.1111/hir.12302
  4. Health Info Libr J. 2020 Apr 03. e12304
    Hirvonen N, Enwald H, Mayer AK, Korpelainen R, Pyky R, Salonurmi T, Savolainen MJ, Nengomasha C, Abankwah R, Uutoni W, Niemelä R, Huotari ML.
      BACKGROUND: People face varying obstacles when interacting with health information in their everyday lives.OBJECTIVES: This study aims to examine the applicability of a multidimensional Everyday Health Information Literacy (EHIL) screening tool in detecting people with challenges in accessing, understanding, evaluating and using health information in everyday situations.
    METHODS: Previously collected EHIL screening tool data from Finnish upper secondary school students (n = 217), Finnish young men (n = 1450), Finnish adults with an increased risk for metabolic syndrome (n = 559) and Namibian university students (n = 271) were reanalysed to examine the factorial structure of the tool and to compare the groups. Statistical analyses included exploratory factor analyses, calculation of mean factor scores and one-way analysis of variance.
    RESULTS: A three factor structure ('awareness', 'access', 'assessment') for the screening tool was supported based on the Finnish samples. However, the Namibian data did not follow a similar structure. Significant differences in groupwise factor scores were discovered.
    DISCUSSION: The findings suggest that the multidimensional EHIL screening tool can be used in pointing out areas where individuals or groups may need support.
    CONCLUSION: The tool may be useful to health information and library services workers when counselling or educating the public.
    Keywords:  Africa, South; Europe, Northern; adolescents; adults; consumer health information; health literacy; higher education; information literacy
    DOI:  https://doi.org/10.1111/hir.12304
  5. Brief Bioinform. 2020 Mar 31. pii: bbaa037. [Epub ahead of print]
    Guo ZH, You ZH, Huang DS, Yi HC, Zheng K, Chen ZH, Wang YB.
      Effectively representing Medical Subject Headings (MeSH) headings (terms) such as disease and drug as discriminative vectors could greatly improve the performance of downstream computational prediction models. However, these terms are often abstract and difficult to quantify. In this paper, we converted the MeSH tree structure into a relationship network and applied several graph embedding algorithms on it to represent these terms. Specifically, the relationship network consisting of nodes (MeSH headings) and edges (relationships), which can be constructed by the tree num. Then, five graph embedding algorithms including DeepWalk, LINE, SDNE, LAP and HOPE were implemented on the relationship network to represent MeSH headings as vectors. In order to evaluate the performance of the proposed methods, we carried out the node classification and relationship prediction tasks. The results show that the MeSH headings characterized by graph embedding algorithms can not only be treated as an independent carrier for representation, but also can be utilized as additional information to enhance the representation ability of vectors. Thus, it can serve as an input and continue to play a significant role in any computational models related to disease, drug, microbe, etc. Besides, our method holds great hope to inspire relevant researchers to study the representation of terms in this network perspective.
    Keywords:  MeSH relationship network ; MeSHHeading2vec; computational prediction model; graph embedding
    DOI:  https://doi.org/10.1093/bib/bbaa037
  6. J Am Coll Health. 2020 Apr 02. 1-9
    Ori EM, Berry TR.
      Objective: To assess preferred sources of information for seeking physical activity (PA), and how PA information seeking may contribute to participation in a campus PA program. Participants: Students attending a large, Western Canadian university between April 2015 and April 2018. Methods: Secondary analysis of an annual campus-wide survey. Results: Students sought PA information for general health. Females sought information about weight loss for appearances; males sought information for muscle gain for appearance. Internet and friends were primary sources of PA information. Regression analysis indicated females 2.49 (95% CI 1.98-3.13), domestic students 2.86, 95% CI (2.04-4.02), and first year students 24.88, 95% CI (18.12-34.17) were most likely to participate in a campus PA program. Only health reasons significantly contributed to participation 1.42, 95% CI (1.06-1.89). Conclusions: Emerging adults attending university may benefit from PA promotion that makes use of their preferred information sources.
    Keywords:  college students; emerging adults; information seeking; physical activity
    DOI:  https://doi.org/10.1080/07448481.2020.1740230
  7. J Genet Couns. 2020 Mar 30.
    Westrate L, Brennan S, Carmany EP.
      In recent years, people increasingly are accessing health information on the Internet. A significant percentage of the United States (US) population has limited English proficiency with Spanish being the most common other language spoken. There is limited research on the presence or quality of Spanish-language health information, particularly in genetics, on the Internet overall. Therefore, we aimed to assess the availability and quality of patient-specific education resources in Spanish available on US-based support group websites for a wide range of genetic conditions. We assessed 630 websites through the Disease InfoSearch website (www.diseaseinfosearch.org), created by Genetic Alliance, for the presence of Spanish genetic resources for patients with a new diagnosis of a genetic condition. Of these, 261 (41.4%) websites met study criteria for further evaluation. Of the 99 websites (37.9%) that had any Spanish content, 45 Spanish resources and a paired English resource from the same site met criteria for a quality assessment. Scoring was performed by two independent raters using Ensuring Quality Information for Patients (EQIP), a previously validated tool to assess the quality of written health information. The mean scores for Spanish and English resources were 57.3% and 58.4%, respectively, corresponding to a good quality score according to guidelines proposed by authors of EQIP. An independent two-sample t test showed no significant difference in the mean quality scores between Spanish and English resources (p-value = .506). Overall, we found limited availability of Spanish resources on the websites analyzed, but of those identified, there was no difference between the quality of Spanish resources and the paired English resources from the same site. These results highlight the need for genetics professionals to advocate for the creation of more Spanish patient resources. However, genetics professionals can have some reassurance that if a support group does produce a Spanish resource, it likely has comparable quality to its English equivalent.
    Keywords:  Spanish; communication; disparities; diversity; genetic resources; internet resources; patient information; quality; underrepresented populations
    DOI:  https://doi.org/10.1002/jgc4.1267
  8. J Community Genet. 2020 Mar 27.
    Marsh JM, Dobbs TD, Hutchings HA.
      Phenylketonuria (PKU) is a condition that results in the build-up of phenylalanine in the blood. This can cause severe brain damage and neurological issues if left untreated. Management can be complex and many individuals may turn to the internet to access further information. It is important that resources are understood as misinterpretation could result in harm to health. The aim of this study was to assess the readability of online resources for PKU and to assess their visual appearance using a communication sciences assessment framework. We searched the top five websites through Google using the search term "phenylketonuria/PKU". We then analysed the text content of the identified websites using five readability formulae to determine the USA and UK reading grade. The median readability level across the five websites was US grade/UK grade 10.6/11.6, with individual grades ranging from 10/11 to 13.3/14.3. We found wide differences in the focus, layout and general appearance of the websites. The readability of resources was much higher than the recommended US 6th grade level. Online resources for PKU need to be simplified to ensure they can be easily understood.
    Keywords:  Online information; PKU; Phenylketonuria; Readability
    DOI:  https://doi.org/10.1007/s12687-020-00461-9
  9. NASN Sch Nurse. 2020 Apr 02. 1942602X20913249
    Bergren MD, Maughan ED.
      Nurses in the 21st-century are expected to be data and information literate and proficient in data management. Nurses graduating from baccalaureate programs must be able to use computers and information systems and apply data and evidence to inform practice. Those competencies are also essential for the entire nursing workforce. That puts the onus on school nurses, school nurse supervisors, school districts, and state affiliates to take responsibility for comprehensive data and information literacy professional development. Fortunately, the National Association of School Nurses (NASN) has anticipated the needs of the membership. NASN included data and information capacity building as a part of The National School Health Data Set: Every Student Counts!, a national standardized data set and data collection initiative.
    Keywords:  Every Student Counts!; data literacy; informatics; information literacy; school nurses
    DOI:  https://doi.org/10.1177/1942602X20913249
  10. Math Biosci Eng. 2019 Dec 19. 17(3): 1922-1939
    Alsmadi I, O'Brien MJ.
      News claims that travel the Internet and online social networks (OSNs) originate from different, sometimes unknown sources, which raises issues related to the credibility of those claims and the drivers behind them. Fact-checking websites such as Snopes, FactCheck, and Emergent use human evaluators to investigate and label news claims, but the process is labor- and time-intensive. Driven by the need to use data analytics and algorithms in assessing the credibility of news claims, we focus on what can be generalized about evaluating human-labeled claims. We developed tools to extract claims from Snopes and Emergent and used public datasets collected by and published on those websites. Claims extracted from those datasets were supervised or labeled with different claim ratings. We focus on claims with definite ratings-false, mostly false, true, and mostly true, with the goal of identifying distinctive features that can be used to distinguish true from false claims. Ultimately, those features can be used to predict future unsupervised or unlabeled claims. We evaluate different methods to extract features as well as different sets of features and their ability to predict the correct claim label. By far, we noticed that OSN websites report high rates of false claims in comparison with most of the other website categories. The rate of reported false claims is higher than the rate of true claims in fact-checking websites in most categories. At the content-analysis level, false claims tend to have more negative tones in sentiments and hence can provide supporting features to predict claim classification.
    Keywords:   feature extraction ; information credibility ; online social networks ; predictive models
    DOI:  https://doi.org/10.3934/mbe.2020101
  11. Can Assoc Radiol J. 2020 Mar 30. 846537120913031
    Hamid S, Gibney B, Niu B, Phord-Toy R, Murray N, Vijayasarathi A, Nicolaou S, Khosa F.
      BACKGROUND: Radiology trainees frequently use the Internet to research potential fellowship programs across all subspecialties. For a field like nuclear medicine, which has multiple training pathways, program websites can be an essential resource for potential applicants. This study aimed to analyze the online content of Canadian and American Nuclear Medicine fellowship websites.MATERIALS AND METHODS: The content of all active Canadian and American Nuclear Medicine fellowship websites was evaluated using 26 criteria in the following subdivisions: application, recruitment, education, research, clinical work, and incentives. Fellowships without websites were excluded from the study. Scores were summed per program and compared by geographic region and ranking.
    RESULTS: A total of 42 active Canadian and American Nuclear Medicine fellowship programs were identified, of which 39 fellowships had dedicated fellowship websites available for the analysis. On average, fellowship websites contained 34.4% (9 ± 3.3) of the 26 criteria. Programs did not score differently on the criteria by geographical distribution (P = .08) nor by ranking (P = .18).
    CONCLUSION: Most Canadian and American Nuclear Medicine fellowship websites are lacking content relevant to prospective fellows. Addressing inadequacies in online content may support programs to inform and recruit residents into fellowship programs.
    Keywords:  criteria; fellowship websites; nuclear medicine; ranking
    DOI:  https://doi.org/10.1177/0846537120913031