bims-librar Biomed News
on Biomedical librarianship
Issue of 2020‒05‒03
ten papers selected by
Thomas Krichel
Open Library Society


  1. Health Info Libr J. 2020 Apr 27.
    Daly A, Harrison S, Reed A, Yates D.
      BACKGROUND: Birmingham Women's and Children's NHS Foundation Trust was formed in February 2017 following an acquisition. The Library and Knowledge Services (LKS) merged while operating across two hospital sites. A priority for the merged Library and Knowledge Service was to integrate e-collections. A literature review identified six papers reporting health libraries that had merged and integrated e-collections.OBJECTIVES: A priority for the merged Library and Knowledge Service was to integrate e-collections.
    METHODS: To ensure equitable and cost-effective access to an extended collection, an audit of pre-existing e-collections was conducted. Electronic licence agreements enabling cross-site access were negotiated. A new OpenAthens ID was created.
    RESULTS: The integration of e-collections enabled Trust staff access to a greater number of e-journals and additional e-content, and an overall cost-saving was achieved.
    DISCUSSION: This case study supports existing literature stating that integrating collections increases the number of e-journals. It further identifies cost-difference in acquiring cross-site access to e-journals compared to databases providing full-text e-journals and additional e-content.
    CONCLUSION: Integrating e-collections enables equity of access and value. A national co-ordinated approach to procurement of e-collections will further support equity and best value throughout NHS LKS.
    Keywords:  access to information; case studies; collaboration; collection development; e-journals; hospital; libraries
    DOI:  https://doi.org/10.1111/hir.12305
  2. Diagnosis (Berl). 2020 Apr 25. pii: /j/dx.ahead-of-print/dx-2020-0022/dx-2020-0022.xml. [Epub ahead of print]
    Negrini D, Padoan A, Plebani M.
      Background The number of websites providing laboratory test information is increasing fast, although the accuracy of reported resources is sometimes questionable. The aim of this study was to assess the quality of online retrievable information by Google Search engine. Methods Considering urinalysis, cholesterol and prostate-specific antigen (PSA) as keywords, the Google Search engine was queried. Using Google Trends, users' search trends (interest over time) were evaluated in a 5-year period. The first three or 10 retrieved hits were analysed in blind by two reviewers and classified according to the type of owner or publisher and for the quality of the reported Web content. Results The interest over time constantly increased for all the three considered tests. Most of the Web content owners were editorial and/or publishing groups (mean percentage 35.5% and 30.0% for the first three and 10 hits, respectively). Public and health agencies and scientific societies are less represented. Among the first three and 10 hits, cited sources were found to vary from 26.0% to 46.7% of Web page results, whilst for cholesterol, 60% of the retrieved Web contents reported only authors' signatures. Conclusions Our findings confirm those obtained in other studies in the literature, demonstrating that online Web searches can lead patients to inadequately written or reviewed health information.
    Keywords:  Google Trends; Web search engine; artificial intelligence; health information; laboratory tests; online information
    DOI:  https://doi.org/10.1515/dx-2020-0022
  3. Int J Environ Res Public Health. 2020 Apr 24. pii: E2975. [Epub ahead of print]17(8):
    Orthuber W.
      Any piece of information is a selection from a set of possibilities. In this paper, this set is called a "domain". Digital information consists of number sequences, which are selections from a domain. At present, these number sequences are defined contextually in a very variable way, which impairs their comparability. Therefore, global uniformly defined "domain vectors" (DVs), with a structure containing a "Uniform Locator" ("UL"), referred to as "UL plus number sequence", are proposed. The "UL" is an efficient global pointer to the uniform online definition of the subsequent number sequence. DVs are globally defined, identified, comparable, and searchable by criteria which users can define online. In medicine, for example, patients, doctors, and medical specialists can define DVs online and can, therefore, form global criteria which are important for certain diagnoses. This allows for the immediate generation of precise diagnostic specific statistics of "similar medical cases", in order to discern the best therapy. The introduction of a compact DV data structure may substantially improve the digital representation of medical information.
    Keywords:  adapted domain; big data; domain space; domain vector; efficiency; information; metric space; online definition; selection; similarity search
    DOI:  https://doi.org/10.3390/ijerph17082975
  4. Int J Med Inform. 2020 Apr 18. pii: S1386-5056(19)30187-X. [Epub ahead of print]139 104144
    Daei A, Soleymani MR, Ashrafi-Rizi H, Zargham-Boroujeni A, Kelishadi R.
      INTRODUCTION: Physicians encounter a large number of questions during patient care. Therefore, finding high-quality evidence provides a good opportunity to improve patient care and continue learning.OBJECTIVES: The present study aims to obtain a comprehensive understanding of the physicians' clinical information-seeking behavior.
    METHODS: A systematic review was conducted according to the PRISMA guidelines. The Web of Science, PubMed, Scopus, ProQuest, Emerald, Wiley Online Library, Science Direct, Cochrane Library, and Embase databases were systematically searched based on the defined criteria. The inclusion criteria were the original articles in the context of patient care and full-text articles published in English from 2002 to 2017. The articles were reviewed, selected, and analyzed in group discussions.
    RESULTS: Seventy-three articles met the study criteria. Therapy, diagnosis, and epidemiology ranked the highest ones among physicians' information needs. The mean frequency of questions raised during patient care was varied from 0.18 to 1.5 per patient, and the percentage of questions answered ranged between 22.8 and 93 %. The time taken to find the answers to the questions was between 2 to 32 min. Consultation with colleagues, alongside reviewing journal articles, Internet websites, textbooks, and MEDLINE/PubMed were the most frequently used sources reported in the retrieved articles. Further, common search strategies used by physicians included keywords, Boolean operators, similar medical terms, and advanced search. In addition, lack of time, and information searching skills and the unawareness of accessible sources were the most frequent barriers while easily searching and finding information and summaries and synthesized evidence-based materials mainly facilitated information seeking.
    CONCLUSIONS: Physicians increasingly encounter clinical point-of-care questions. However, the facilitation of accessing online information sources has not enabled the physicians to find answers to many of their questions. Considering the fact that they often refer to colleagues, Internet websites, and databases to find answers, the quality of information should be improved by evaluating the physicians' information-seeking behavior in the first stage, and developing information technology in a point-of-care environment, integrating EHR systems to communicate with colleagues, and accessing databases in the second stage.
    Keywords:  Barriers; Clinical information-seeking behavior; Facilitators; Information need; Patient care; Point-of-care
    DOI:  https://doi.org/10.1016/j.ijmedinf.2020.104144
  5. Surgeon. 2020 Apr 25. pii: S1479-666X(20)30043-3. [Epub ahead of print]
    Bresler RM, Lynch NP, Connolly M, Keelan S, Richter L, McHugh SM, Naughton PA.
      BACKGROUND: This study evaluated the readability and quality of information regarding arteriovenous (AV) fistula for dialysis on the Internet in the English language.STUDY DESIGN: Using Google© search, the keywords "AV Fistula for dialysis" were searched. The top 75 ranking sites were analyzed. One website was excluded due to repetition. Each landing page was assessed independently by two authors (RB, LR) for readability using the Flesch Reading Ease Score (FRES) and Gunning Fog Index (GFI). Web site quality was assessed using the DISCERN instrument. The individual position of the top 15 websites in the search engine ranking order list was noted. The country of origin, organization type and issuance of Health on the Net (HoN) Certification was recorded. Statistical analyses were performed using unpaired t-tests and ANOVA variance.
    RESULTS: The mean GFI score was 9.2 and the mean FRES score was 50.6, indicating poor readability. The mean DISCERN score was 48.4, indicating weak quality of websites. Website quality was influenced by the academic/healthcare organization type (p = 0.012). Organization type was not found to impact GFI and FRES scores. Presence of a HoN Certification was not found to impact the quality of information. The majority of sites originated from the United States (61%).
    CONCLUSION: Our study demonstrates that internet information pertaining to AV fistula for dialysis is of poor quality necessitating improvements to readability and overall website quality to improve the patient experience. Further research into how to improve healthcare web information is needed.
    Keywords:  Accessibility; Arteriovenous fistula; Dialysis; Internet; Quality; Readability
    DOI:  https://doi.org/10.1016/j.surge.2020.02.009
  6. Aust Dent J. 2020 May 01.
    Meade MJ, Dreyer CW.
      BACKGROUND: Data regarding the quality of information (QOI) related to orthodontic clear aligners (OCAs) on the internet are lacking. The aim of the present investigation was to assess the quality and readability of websites providing information regarding OCAs to prospective patients.METHODS: Three search terms were entered separately into three search engines. Four validated QOI instruments were used to determine the QOI and readability of the content contained within the websites that satisfied pre-determined criteria. Descriptive statistical analyses and intra-rater testing for DISCERN scores were calculated.
    RESULTS: Forty-nine websites satisfied inclusion/exclusion criteria. General dentists (44.9%) and specialist orthodontists (26.5%) authored the majority of websites. One website contained the HONcode seal. Cohen's kappa for DISCERN scores was good (0.87). The overall mean (SD) DISCERN score was 38.55 (8.00)/80, range 26-60. The websites authored by 'Direct-to-consumer' OCA providers recorded the lowest DISCERN mean score (33/80). One website contained all four JAMA benchmarks. The mean (SD) Flesch Reading Ease score was 53.92 (9.08), range 36-82.5.
    CONCLUSIONS: The QOI of the website content related to OCAs is poor and is 'fairly difficult' to read. Website authors should consider using QOI instruments and readability tools to enable the delivery of evidence-based and easily readable information regarding OCAs to prospective patients.
    Keywords:  Direct to consumer orthodontics. Internet. Orthodontic clear aligners. Quality of information. Readability
    DOI:  https://doi.org/10.1111/adj.12776
  7. JMIR Public Health Surveill. 2020 Apr 22.
    Rovetta A, Bhagavathula AS.
      BACKGROUND: Since the beginning of the novel coronavirus (COVID-19) outbreak, several fake news and misleading information are circulated all over the world, which can profoundly affect public health communication.OBJECTIVE: We investigated the online search queries behavior related to the COVID-19 outbreak and the attitude of infodemic monikers circulating in Italy.
    METHODS: By using Google Trends to explore the internet search activity related to COVID-19 from January to March 2020, titles of the articles of the most read newspapers, and government websites are mined to investigate the attitude of various infodemic monikers circulating across various regions and cities in Italy. Search volume values and average-peak value (APC) are used to quantify the results.
    RESULTS: Keywords such as "novel coronavirus", "china coronavirus", "covid-19", "2019-ncov", and "sars-cov-2" were the top infodemic and scientific COVID-19 denominations trends in Italy. Information related to face masks, amuchina (disinfectant), symptoms of the novel coronavirus, health bulletins, and vaccine for coronavirus were the top five searches related to health. The regions of Umbria and Basilicata recorded a high number of infodemic monikers (weight total APC >140). Misinformation was widely circulated in Campania region and racism related information in Umbria and Basilicata. These monikers were more frequently pronounced (weight total APC >100) in more than ten major cities in the Italy including Rome.
    CONCLUSIONS: We identified a growing regional and population-level interest in COVID-19 in Italy, and a majority of the searches are related to amuchina (disinfectants), face maks, health bulletin, and symptoms related to COVID-19. As a large number of infodemic monikers were observed across Italy, we recommend the health agencies can use Google Trends to predict the human behavior and also to exploit the misinformation circulating in Italy.
    CLINICALTRIAL:
    DOI:  https://doi.org/10.2196/19374
  8. Am J Audiol. 2020 Apr 29. 1-8
    Manchaiah V, Bellon-Harn ML, Kelly-Campbell RJ, Beukes EW, Bailey A, Pyykkő I.
      Objectives There has been a substantial increase in people with health conditions seeking health-related information online. The aim of this study was to examine the media usage by older adults with hearing loss. Method The study used a cross-sectional survey design. A total of 556 older adults with hearing loss (Hearing Tracker website users) completed the survey that was focused on (a) demographic information, (b) general electronic media usage, (c) sources of hearing health information, and (d) social media use for hearing health information. Data were analyzed using descriptive statistics and chi-square tests. Results When seeking hearing health care information, the majority of the participants turned to the Internet (54%) followed by health professionals (34%) as the first response to their symptoms. Both sources were also rated as the easiest means of obtaining hearing health information. The information from health care providers was rated as more reliable and important for decision making than that from the Internet. Facebook and YouTube were the most frequently used social media platforms with over 40% of the respondents using them "most of the time" or "sometimes." All the social media platforms were rated less favorably than other sources for ease of finding information, reliability, and importance in decision making. Conclusion Older adults with hearing loss use various forms of electronic media for seeking hearing health information. They place the most trust on the information obtained from hearing health care professionals. These professionals need to be aware of the quality of information available on the Internet and social media sources in order to direct patients to credible sources. Supplemental Material https://doi.org/10.23641/asha.12170397.
    DOI:  https://doi.org/10.1044/2020_AJA-19-00039
  9. J Cancer Educ. 2020 May 02.
    Davis SN, O'Malley DM, Bator A, Ohman-Strickland P, Hudson SV.
      Understanding information seeking behaviors and experiences is essential for designing educational and supportive interventions to promote survivor's self-management post treatment. This study examined health and cancer information seeking, use of internet to find cancer information, and information seeking experiences among breast, colorectal, and prostate cancer survivors. Nationally representative data collected in 2017-2018 from 2 cycles of the Health Information National Trends Survey (HINTS 5, cycles 1 and 2 were merged with combined replicate weights using the jackknife replication method (n = 373). Regression analysis for three information seeking behaviors (i.e., health information, cancer information, and internet for cancer information) were modeled, including sociodemographic and clinical factors as predictors. In addition, separate regression analysis predicted three experiences of information seeking (effort, quality, and hard to understand) with sociodemographic and clinical factors. A majority of survivors (84.7%) sought health information. Factors significantly associated with seeking health information were gender (p = 0.024), education (p = 0.0021), and income (p = 0.018). Only 38% of survivors used the internet to seek cancer-related information. The only factor significantly associated with using the internet to seek cancer-related information was time since diagnosis (p = 0.0002). The factor significantly associated with difficulty understanding information was annual household income (p = 0.026). This study fills an important gap by identifying sociodemographic and cancer-related factors associated with information seeking behaviors and experiences. These findings highlight a need to tailor information for low socioeconomic status survivors to account for the lack of skills, resources, and motivation to seek information about health and cancer related topics independently.
    Keywords:  Cancer; Cancer information; Cancer survivors; Cancer survivorship; Information-seeking
    DOI:  https://doi.org/10.1007/s13187-020-01758-6
  10. BMC Med Inform Decis Mak. 2020 Apr 30. 20(Suppl 1): 73
    Chen Q, Du J, Kim S, Wilbur WJ, Lu Z.
      BACKGROUND: Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and models are limited in biomedical and clinical domains. The BioCreative/OHNLP2018 organizers have made the first attempt to annotate 1068 sentence pairs from clinical notes and have called for a community effort to tackle the Semantic Textual Similarity (BioCreative/OHNLP STS) challenge.METHODS: We developed models using traditional machine learning and deep learning approaches. For the post challenge, we focused on two models: the Random Forest and the Encoder Network. We applied sentence embeddings pre-trained on PubMed abstracts and MIMIC-III clinical notes and updated the Random Forest and the Encoder Network accordingly.
    RESULTS: The official results demonstrated our best submission was the ensemble of eight models. It achieved a Person correlation coefficient of 0.8328 - the highest performance among 13 submissions from 4 teams. For the post challenge, the performance of both Random Forest and the Encoder Network was improved; in particular, the correlation of the Encoder Network was improved by ~ 13%. During the challenge task, no end-to-end deep learning models had better performance than machine learning models that take manually-crafted features. In contrast, with the sentence embeddings pre-trained on biomedical corpora, the Encoder Network now achieves a correlation of ~ 0.84, which is higher than the original best model. The ensembled model taking the improved versions of the Random Forest and Encoder Network as inputs further increased performance to 0.8528.
    CONCLUSIONS: Deep learning models with sentence embeddings pre-trained on biomedical corpora achieve the highest performance on the test set. Through error analysis, we find that end-to-end deep learning models and traditional machine learning models with manually-crafted features complement each other by finding different types of sentences. We suggest a combination of these models can better find similar sentences in practice.
    Keywords:  Deep learning; Electronic medical records; Machine learning; Sentence similarity
    DOI:  https://doi.org/10.1186/s12911-020-1044-0