bims-librar Biomed News
on Biomedical librarianship
Issue of 2020‒05‒24
sixteen papers selected by
Thomas Krichel
Open Library Society

  1. Health Info Libr J. 2020 Jun;37(2): 95-97
    McNamara S.
      As a prelude to his keynote speech at the forthcoming Health Libraries Group conference, Sean McNamara, Head of CILIP Scotland, provides an insight into the work being undertaken with health librarians in Scotland and considers how CILIP Scotland might support the health information sector in the coming years.
    Keywords:  United Kingdom; evidence-based library and information practice; health care; libraries
  2. Health Info Libr J. 2020 May 21.
    Watson EM.
      BACKGROUND: Although most medical libraries buy ebooks, there has been little discussion of the comparative costs of medical ebooks and print books.OBJECTIVES: To determine whether individually purchased medical ebooks cost more or less, on average, than the same titles in print format and, if so, to calculate the price differential.
    METHODS: The author searched the platform of monograph vendor YBP for the 1095 titles in the 'Clinical Medicine' category of Doody's Core Titles 2018 edition. For each title, the print price and the lowest ebook price were noted; the ratio of ebook price to print book price for each title was then calculated.
    RESULTS: On average, ebooks cost 2.20 times more than their print equivalents, though the size of the price differential varied greatly with the publisher. For some publishers, ebooks cost nearly the same amount as print books, while for others, ebooks cost three or even four times as much as the print.
    DISCUSSION: The greater price of some ebooks may make them unaffordable for libraries or mean that those titles cannot be purchased as ebooks even when that format would be preferred.
    CONCLUSIONS: Buying ebooks, at least on a title-by-title basis, can be very costly for medical libraries.
    Keywords:  collection development; comparative study; economic analysis; electronic books (eBooks); libraries; medical
  3. Z Evid Fortbild Qual Gesundhwes. 2020 May 18. pii: S1865-9217(20)30043-X. [Epub ahead of print]
    Hirt J, Brinkmann S, Cadima R, Dichter MN, Golla A, Kaap-Fröhlich S, Kachler M, Lauer N, Meiling C, Messer M, Paulicke D, Saal S, Schmidt S, Schwarz C, Tholen R, Ulrich G, Warnke A, Abraham J.
      BACKGROUND: Journal hand searching offers the possibility to complement a literature search as part of systematic reviews and other evidence syntheses. Hand searching is indicated in cases where scientific journals with potentially relevant publications addressing the research question are not indexed in a literature database. However, it is often unclear whether these journals are actually indexed, and when they are, in which literature databases. In many cases, it is also unknown which journals should be searched by hand in addition to systematic literature search after databases to be searched have been specified. Therefore, the project aimed to investigate the indexation of selected scientific health science journals and to provide an overview of indexation in order to facilitate the hand search planning process.METHODS: Journals from German-speaking countries covering eight professional fields (medical laboratory assistance, occupational therapy, midwifery, logopedics, nursing, physiotherapy, public health and rehabilitation) were considered that publish original research papers or systematic reviews or other review types in German and/or English. Two researchers per field identified relevant journals and independently analyzed the indexing locations using the journal websites. In case of missing information, we contacted the editors.
    RESULTS: A total of 70 journals were included: from 1 to 17 journals per field. These journals are indexed in 1 to 29 databases. Twelve journals are not indexed or do not offer information concerning indexation. Indexation is distributed across n=74 different literature databases. Most journals are indexed in LIVIVO (n=55) and (n=33). Other common indexing databases are Scopus (n=18), Web of Science Core Collection (n=16), PSYNDEX (n=13), and Embase (n=10).
    CONCLUSIONS: The results indicate a heterogeneous indexation of the included journals. Only a small number is indexed in common international literature databases such as MEDLINE or CINAHL. On the other hand, only a few journals are not indexed in any database. The results can be used as a basis to define databases for literature searches as part of systematic reviews. In addition, the findings might guide the selection of journals for hand searching after literature databases have been defined.
    Keywords:  Database; Datenbank; Gesundheitswissenschaften; Hand search; Handsuche; Health Sciences; Methode; Methods; Review; Übersichtsarbeit
  4. J Adv Nurs. 2020 May 18.
    West S, Kornhaber R, Visentin DC, Thapa DK, Cleary M.
      Google has become so synonymous with information search, retrieval and sharing that it entered our lexicon as the most-used verb to express searching information online. Consequently, few are surprised to learn that 'googling' applies as equally to health information seeking as it does to TV series spoilers or homemade slime recipes. Almost half the population uses what is now referred to as 'Dr Google' (Astrup, 2018), the use of the Google search engine to obtain information relating to health matters.
  5. Mem Cognit. 2020 May 21.
    Donovan AM, Rapp DN.
      People often reproduce information they read, which is beneficial when that information is accurate. Unfortunately, people are also often exposed to inaccurate information, with subsequent reproductions allowing for problematic decisions and behaviors. One empirically validated consequence of exposures to inaccuracies is that after reading falsehoods, participants are more likely to make errors answering related questions than if they previously read accurate statements, particularly for unfamiliar information. Interventions designed to attenuate these reproductions are often ineffective, at least as studied in tasks that restrict participants to generating answers based on text content and relevant prior knowledge. In the real world, however, people have access to outside resources to evaluate information. In three experiments, we tested whether affording the option to search for relevant online information following exposure to inaccurate statements would reduce reproductions of those inaccuracies on a post-reading task. Participants given the opportunity to search for information were less likely to reproduce inaccurate information and more likely to produce correct responses, in comparison to the performance of participants who were not allowed to search. We also tested whether warnings about potentially inaccurate information would encourage searches and inform responses. While warnings increased searching, additional reductions in inaccurate reproductions were not observed. Given the contingencies of many lab tasks, reproductions of inaccurate information might be overestimated. Resources available in the real world can offer useful supports for reducing the influence of and uncertainty associated with inaccurate exposures, consistent with contemporary accounts of memory and comprehension.
    Keywords:  Inaccurate information; Memory; Online search; Reading comprehension; Text processing
  6. J Clin Epidemiol. 2020 May 13. pii: S0895-4356(19)30926-6. [Epub ahead of print]
    Ebell MH, Fahey T, Murphy ME, Barry A, Barry H, Hickner J.
      OBJECTIVE: To develop an improved search strategy for clinical prediction rules.STUDY DESIGN AND SETTING: We first refined a list of 30 primary care relevant journals and improved the efficiency of the Haynes Narrow Filter/ Teljour/Murphy Inclusion Filter with 26 items by removing one term (Modified Haynes 26 filter). We then developed the "Royal College of Surgeons Ireland (RCSI) filter", and compared it with the modified HNF/TMIF26 for its ability to detect prediction riules in the primary care literature. All abstracts and if necessary full text were reviewed independently in parallel by primary care physicians. Key outcomes were the percentage of prediction rules identified out of the total identified by both search strategies (sensitivity), and the number of articles that had to be reviewed to identify them (efficiency).
    RESULTS: The Modified Haynes 26 filter returned 1701 abstracts versus 1062 for the RCSI filter. The RCSI filter identified 105/111 of all prediction rules identified by either filter, compared with 107/111 by the Modified Haynes 26 filter (94.6% vs 96.4%, p = 0.52). Also, 9.9% of abstracts found using the RCSI filter were prediction rules, compared with only 6.3% using the Modified Haynes 25 filter (p = 0.001).
    CONCLUSION: We have developed a novel "RCSI filter" that more efficiently identifies prediction rules in the medical literature.
    Keywords:  PubMed; clinical decision rule; clinical prediction rule; decision support; evidence-based medicine; literature search
  7. Mem Cognit. 2020 May 19.
    Xu Y, Wong R, He S, Veldre A, Andrews S.
      Despite advances in digital technology that have resulted in more people accessing information via mobile devices, little is known about reading comprehension on mobile phones. This research investigated the impact of reading format by comparing sensitivity to misinformation presented either in printed texts or in digital format on mobile phones to readers of English versus Chinese. Participants read pairs of short newspaper-style articles containing a critical piece of information that was either retracted or not retracted, and were later assessed on their memory for critical and general details, as well as inferential judgements related to the retracted information. The average results replicated previous evidence that repeating the original misinformation at the time of retraction enhanced memory updating. However, reading on a mobile phone reduced the likelihood that readers noticed the retraction and updated their memory with alternative information in both language groups and reduced the extent to which inferences were modified by the alternative information in readers of Chinese but not English. Chinese readers showed significantly better general memory, but were more affected by the continued influence of the misinformation. These differences between Chinese and English-speaking participants may reflect cultural influences on the tendency to apply a dialectical rather than an analytic reasoning strategy and incorporate contradictory information into the memory representation of a discourse or event.
    Keywords:  Chinese; Continued-influence effect; Digital format; Misinformation; Mobile phone; Reading comprehension
  8. Asia Pac J Public Health. 2020 May 19. 1010539520927261
    Ali MY, Bhatti R.
      The main purpose of this paper is to highlight the important information sources of the Public Health awareness used by the library and information sources in this Pandemic situation. Social distancing phase Information professional used a different medium to connect with their patron and try to serve the best manner. The role of the information professional in health information and health literacy is very vital. Information professional public health awareness information with the library patrons and the general public. In this paper, the researchers provide a brief introduction to different information channel support in information dissemination.
    Keywords:  COVID-19; coronavirus; health information; librarian; pandemic; public health
  9. J Am Coll Radiol. 2020 May 16. pii: S1546-1440(20)30410-5. [Epub ahead of print]
    Choudhery S, Xi Y, Chen H, Aboul-Fettouh N, Goldenmerry Y, Ho C, Viroslav H, Zhang C, Goudreau S.
      OBJECTIVES: The purpose of this study was to assess the readability and quality of patient information regarding mammography, tomosynthesis, and breast density on the websites of ACR-designated mammography Breast Imaging Centers of Excellence (BICOEs) in the United States.MATERIALS AND METHODS: In this institutional review board-exempt study, websites of mammography BICOEs were identified by state. Websites were assessed for presence of patient education material on screening mammography, tomosynthesis, and breast density. This material was then assessed for readability using five well-established readability metrics (Flesch-Kincaid Reading Ease Index, Flesch-Kincaid Grade Level, Gunning-Fog Score, Coleman-Liau Index, and Simple Measure of Gobbledygook Index) and for quality using the DISCERN instrument.
    RESULTS: We identified 1,482 BICOE centers, of which 1,451 (98%) had websites; 79% (1,156 of 1,451) of websites had information on screening mammography, 45% (657 of 1,451) on tomosynthesis, and 16% (228 of 1,451) on breast density. Readability analysis showed that the overall average grade level of patient information was 12.4. Average readability grade levels by tested indexes were Flesch-Kincaid Grade Level of 11.5, Gunning-Fog Score of 14.1, Coleman-Liau Index of 14.1, and Simple Measure of Gobbledygook Index of 10.9. The average Flesch-Kincaid Reading Ease score was 45, with 0 being the most difficult and 100 being the easiest text to read. The overall DISCERN score nationally was 2.61 of 5 (with 5 representing the highest quality).
    CONCLUSIONS: Although most BICOEs have patient education material on their websites regarding mammography and some have information regarding tomosynthesis and breast density, the average readability grade level of this material is more than double the nationally recommended readability grade level of 6 for health care information. Additionally, the overall quality of this material is relatively low per established quality metrics.
    Keywords:  Mammography; online; patient education quality; readability
  10. Travel Med Infect Dis. 2020 May 14. pii: S1477-8939(20)30176-9. [Epub ahead of print] 101708
    Ortiz-Martínez Y, Castellanos-Mateus S, Rojas-Moreno H, Suárez-Molina J.
    Keywords:  Hepatitis C; Knowledge; Online systems; Social media; Video-audio media
  11. J Biomed Inform. 2020 May 18. pii: S1532-0464(20)30080-0. [Epub ahead of print] 103452
    Moradi M, Dashti M, Samwald M.
      Text summarization tools can help biomedical researchers and clinicians reduce the time and effort needed for acquiring important information from numerous documents. It has been shown that the input text can be modeled as a graph, and important sentences can be selected by identifying central nodes within the graph. However, the effective representation of documents, quantifying the relatedness of sentences, and selecting the most informative sentences are main challenges that need to be addressed in graph-based summarization. In this paper, we address these challenges in the context of biomedical text summarization. We evaluate the efficacy of a graph-based summarizer using different types of context-free and contextualized embeddings. The word representations are produced by pre-training neural language models on large corpora of biomedical texts. The summarizer models the input text as a graph in which the strength of relations between sentences is measured using the domain specific vector representations. We also assess the usefulness of different graph ranking techniques in the sentence selection step of our summarization method. Using the common Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics, we evaluate the performance of our summarizer against various comparison methods. The results show that when the summarizer utilizes proper combinations of context-free and contextualized embeddings, along with an effective ranking method, it can outperform the other methods. We demonstrate that the best settings of our graph-based summarizer can efficiently improve the informative content of summaries and decrease the redundancy.
    Keywords:  Deep learning; Graph ranking; Medical text mining; Natural language processing; Text summarization; Word embedding
  12. Brief Bioinform. 2020 May 18. pii: bbaa057. [Epub ahead of print]
    Zhao S, Su C, Lu Z, Wang F.
      The recent years have witnessed a rapid increase in the number of scientific articles in biomedical domain. These literature are mostly available and readily accessible in electronic format. The domain knowledge hidden in them is critical for biomedical research and applications, which makes biomedical literature mining (BLM) techniques highly demanding. Numerous efforts have been made on this topic from both biomedical informatics (BMI) and computer science (CS) communities. The BMI community focuses more on the concrete application problems and thus prefer more interpretable and descriptive methods, while the CS community chases more on superior performance and generalization ability, thus more sophisticated and universal models are developed. The goal of this paper is to provide a review of the recent advances in BLM from both communities and inspire new research directions.
    Keywords:  Biomedical Literature Mining; Deep Learning; Natural Language Processing
  13. J Am Acad Orthop Surg Glob Res Rev. 2020 Mar;pii: e19.00181. [Epub ahead of print]4(3):
    Zade RT, Tartaglione JP, Chisena E, Adams CT, DiCaprio MR.
      "Cancer" is one of the top three health-related Internet searches, yet research shows over 30% of patients are confused after searching for medical information. The quality and accuracy of Internet oncology literature varies widely and can affect patient perceptions or seeking of care.Purpose: This study hypothesizes that online patient resources for orthopaedic oncology are often inconsistent, inaccurate, or incomprehensible by the standard patient and examines the readability, quality, and accuracy of common orthopaedic oncology websites.
    Methods: Three common search terms were searched in three popular search engines. The first 25 nonsponsored websites were identified for each term; randomized to search term; and evaluated via a 25-question quality score, DISCERN treatment-based score, predetermined accuracy score, and Flesch-Kincaid reading level.
    Results: Forty-eight websites were included. Website quality, DISCERN score, accuracy score, and reading level were not statistically different based on search term. Quality and DISCERN scores were markedly higher from websites without commercial gain. Websites were consistently written above the recommended reading level.
    Discussion: Online orthopaedic oncology literature is frequently confusing and complicated. The orthopaedic surgeon should be aware that patients frequently access this information and should ensure that patients receive accurate primary source material relevant to their care.
  14. J Med Internet Res. 2020 Apr 09.
    Mac OA, Thayre A, Tan S, Dodd RH.
      BACKGROUND: Three main changes were implemented in the Australian National Cervical Screening Program (NCSP) in December 2017: an increase in the recommended age to start screening, extended screening intervals, and change from the Papanicolaou (Pap) test to primary human papillomavirus screening (cervical screening test). The internet is a readily accessible source of information to explain the reasons for these changes to the public. It is important that web-based health information about changes to national screening programs is accessible and understandable for the general population.OBJECTIVE: This study aimed to evaluate Australian web-based resources that provide information about the changes to the cervical screening program.
    METHODS: The term cervical screening was searched in 3 search engines. The first 10 relevant results across the first 3 pages of each search engine were selected. Overall, 2 authors independently evaluated each website for readability (Flesch Reading Ease [FRE], Flesch-Kincaid Grade Level, and Simple Measure of Gobbledygook [SMOG] index), quality of information (Patient Education Materials Assessment Tool [PEMAT] for printable materials), credibility (Journal of the American Medical Association [JAMA] benchmark criteria and presence of Health on the Net Foundation code of conduct [HONcode] certification), website design, and usability with 5 simulation questions to assess the relevance of information. A descriptive analysis was conducted for the readability measures, PEMAT, and the JAMA benchmark criteria.
    RESULTS: Of the 49 websites identified in the search, 15 were eligible for inclusion. The consumer-focused websites were classed as fairly difficult to read (mean FRE score 51.8, SD 13.3). The highest FRE score (easiest to read) was 70.4 (Cancer Council Australia Cervical Screening Consumer Site), and the lowest FRE score (most difficult to read) was 33.0 (NCSP Clinical Guidelines). A total of 9 consumer-focused websites and 4 health care provider-focused websites met the recommended threshold (sixth to eighth grade; SMOG index) for readability. The mean PEMAT understandability scores were 87.7% (SD 6.0%) for consumer-focused websites and 64.9% (SD 13.8%) for health care provider-focused websites. The mean actionability scores were 58.1% (SD 19.1%) for consumer-focused websites and 36.7% (SD 11.0%) for health care provider-focused websites. Moreover, 9 consumer-focused and 3 health care provider-focused websites scored above 70% for understandability, and 2 consumer-focused websites had an actionability score above 70%. A total of 3 websites met all 4 of the JAMA benchmark criteria, and 2 websites displayed the HONcode.
    CONCLUSIONS: It is important for women to have access to information that is at an appropriate reading level to better understand the implications of the changes to the cervical screening program. These findings can help health care providers direct their patients toward websites that provide information on cervical screening that is written at accessible reading levels and has high understandability.
  15. Health Info Libr J. 2020 Jun;37(2): 168-169