bims-librar Biomed news
on Biomedical librarianship
Issue of 2019‒01‒27
eleven papers selected by
Thomas Krichel
Open Library Society


  1. J Med Internet Res. 2019 Jan 25. 21(1): e11481
    Lupton D, Maslen S.
      BACKGROUND: A range of digital technologies are available to lay people to find, share, and generate health-related information. Few studies have directed attention specifically to how women are using these technologies from the diverse array available to them. Even fewer have focused on Australian women's use of digital health.OBJECTIVE: The Australian Women and Digital Health Project aimed to investigate which types of digital technologies women used regularly for health-related purposes and which they found most helpful and useful. Qualitative methods-semistructured interviews and focus groups-were employed to shed light on the situated complexities of the participants' enactments of digital health technologies. The project adopted a feminist new materialism theoretical perspective, focusing on the affordances, relational connections, and affective forces that came together to open up or close off the agential capacities generated with and through these enactments.
    METHODS: The project comprised two separate studies including a total of 66 women. In study 1, 36 women living in the city of Canberra took part in face-to-face interviews and focus groups, while study 2 involved telephone interviews with 30 women from other areas of Australia.
    RESULTS: The affordances of search engines to locate health information and websites and social media platforms for providing information and peer support were highly used and valued. Affective forces such as the desire for trust, motivation, empowerment, reassurance, control, care, and connection emerged in the participants' accounts. Agential capacities generated with and through digital health technologies included the capacity to seek and generate information and create a better sense of knowledge and expertise about bodies, illness, and health care, including the women's own bodies and health, that of their families and friends, and that of their often anonymous online social networks. The participants referred time and again to appreciating the feelings of agency and control that using digital health technologies afforded them. When the technologies failed to work as expected, these agential capacities were not realized. Women responded with feelings of frustration, disappointment, and annoyance, leading them to become disenchanted with the possibilities of the digital technologies they had tried.
    CONCLUSIONS: The findings demonstrate the nuanced and complex ways in which the participants were engaging with and contributing to online sources of information and using these sources together with face-to-face encounters with doctors and other health care professionals and friends and family members. They highlight the lay forms of expertise that the women had developed in finding, assessing, and creating health knowledges. The study also emphasized the key role that many women play in providing advice and health care for family members not only as digitally engaged patients but also as digitally engaged carers.
    Keywords:  Australia; apps; digital health; feminist new materialism; online forums; qualitative research; social media; wearable devices; websites; women
    DOI:  https://doi.org/10.2196/11481
  2. BMJ Open. 2019 Jan 24. 9(1): e023015
    Smith C, van Velthoven MH, Pakenham-Walsh N.
      INTRODUCTION: There is a wide variety in prescribing by primary healthcare workers in low-income and middle-income countries. While there is much information available, both online and offline, there is variation in quality and relevance to different settings. Acting on incorrect or out-of-date information can lead to inappropriate prescribing and impact on patient safety. The aim of this review is to systematically review the evidence on how primary healthcare workers obtain information during consultations to prescribe safely and appropriately.METHODS AND ANALYSIS: We will identify relevant articles by searching electronic databases: Medline (Ovid), EMBASE (Ovid), Cochrane Central Register of Controlled Trials, CABI Global Health (Ovid), WHO global health library, POPLINE, Africa-Wide Information (Ebsco), Library, Information Science & Technology Abstracts (Ebsco), ClinicalTrials.gov and WHO International Clinical Trials Registry Platform. Also, the Health Information For All network will be consulted and evidence databases (TRIP database, Epistemonikos, PDQ Evidence) will be searched. We will hand-search reference lists, run citation searches of included studies and email authors of identified papers. Observational and intervention studies involving primary healthcare workers in low-income and middle-income countries who prescribe and/or dispense medication will be included. The primary outcome is the proportion of healthcare workers obtaining information relevant to consultations from different sources. Secondary outcomes are the change in healthcare provider and patient knowledge or behaviour, adverse outcomes and use of resources. We will exclude studies focusing on secondary care. We anticipate a limited scope for meta-analysis and will provide a narrative overview of findings and tabular summaries of extracted data.
    ETHICS AND DISSEMINATION: No ethics approval is required. Findings will be disseminated through the Healthcare Information For All network.
    PROSPERO REGISTRATION NUMBER: CRD42018091088.
    Keywords:  decision-making; health information; lmics; prescribing; primary care
    DOI:  https://doi.org/10.1136/bmjopen-2018-023015
  3. Rev Assoc Med Bras (1992). 2018 Aug;pii: S0104-42302018000800692. [Epub ahead of print]64(8): 692-699
    Mota LRAD, Ferreira CCG, Costa Neto HAAD, Falbo AR, Lorena SB.
      OBJECTIVES: To analyse the opinions and attitudes reported by medical specialists regarding online health information and their interference in the doctor-patient relationship.METHODS: A cross-sectional study developed between 2016 and 2017 in Recife-Pernambuco-Brazil, which used a questionnaire in person in a population of 183 specialists from the Instituto de Medicina Integral Prof. Fernando Figueira. The results were analysed through the Statistical Package for the Social Sciences. Obtained approval of the Ethics Committee under the voucher number 121004/2016.
    RESULTS: In the opinion of 85.2% of physicians, online health information has both positive and negative impacts on the physician-patient relationship. Faced with a questioning patient who claims to have researched information on the internet, 98.9% of the physicians said they would try to explain the reasons for their diagnosis and treatment. 59% already had a patient who modified the treatment recommended after seeing health information on the Internet. 73.8% agreed that online health information has positive effects for the general public, but 89.1% feel that most patients do not know which online health information is reliable.
    CONCLUSION: The physicians surveyed view online health information in a positive way, but realize that it is necessary to be cautious as to their repercussions on the treatment of patients. There is concern about the accuracy of online health information, and it is incumbent upon the physician and health institutions to instruct patients about the sources of quality and that they are able to understand, as its known the patients have an active voice through the guarantee of the ethical principle of autonomy.
    DOI:  https://doi.org/10.1590/1806-9282.64.08.692
  4. J Cheminform. 2019 Jan 21. 11(1): 7
    Furrer L, Jancso A, Colic N, Rinaldi F.
      BACKGROUND: We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus-based disambiguation component. The annotator uses an efficient look-up strategy combined with a normalization method for matching spelling variants. The disambiguation classifier is implemented as a feed-forward neural network which acts as a postfilter to the previous step.RESULTS: We evaluated the system in terms of processing speed and annotation quality. In the speed benchmarks, the OGER++ web service processes 9.7 abstracts or 0.9 full-text documents per second. On the CRAFT corpus, we achieved 71.4% and 56.7% F1 for named entity recognition and concept recognition, respectively.
    CONCLUSIONS: Combining knowledge-based and data-driven components allows creating a system with competitive performance in biomedical text mining.
    Keywords:  Concept recognition; Machine learning; Named entity recognition; Natural language processing
    DOI:  https://doi.org/10.1186/s13321-018-0326-3
  5. Online J Public Health Inform. 2018 ;10(3): e219
    Valizadeh-Haghi S, Rahmatizadeh S.
      Objectives: The aim of the study is to explore the eHealth literacy and general interest in using eHealth information among patients with dental diseases.Methods: A total of 171 patients with dental diseases completed the survey including the eHEALS. The effect of participants' age, gender and education on eHealth literacy was assessed. Spearman's correlation coefficient was also used to assess the correlation between the importance of access to health information and the usefulness of the internet for decision-making.
    Results: The mean score of eHealth literacy in the participants was 30.55 (SD=4.069). The participants' age has significant effect on eHealth literacy level (t=3.573, P-value=0.002). Moreover, there was a significant correlation between the total score of eHealth literacy and the importance of access to eHealth information (r=0.33, n=171, P<0.s001). The difference in eHealth literacy in terms of educational background showed no statistically significant differences (F=1.179, P-value=0.322).
    Discussion: The participants had a high level of eHealth literacy. Determining eHealth literacy among dental patients leads to a better understanding of their problems in health decision-making.
    Conclusion: Dental institutions efforts should aim to raise awareness on online health information quality and to encourage patients to use evaluation tools, especially among low electronic health literate patients.
    Keywords:  consumer health information; dentistry; eHEALS; eHealth literacy; online health information; patient education
    DOI:  https://doi.org/10.5210/ojphi.v10i3.9487
  6. Res Social Adm Pharm. 2019 Jan 19. pii: S1551-7411(18)30837-4. [Epub ahead of print]
    Mendes AM, Tonin FS, Buzzi MF, Pontarolo R, Fernandez-Llimos F.
      BACKGROUND: Pharmacy journals constitute a heterogeneous group that can be map to identify Pharmacy scientific subareas.OBJECTIVE: This study aimed to objectively map Pharmacy journals by means of a lexicographic analysis of the titles of published articles.
    METHODS: Active journals between 2006 and 2016 containing any of the terms 'pharmacy', 'pharmacist*', 'pharmaceut*', 'pharmacol*', or 'pharmacotherap*' in their titles were searched in four databases (01/15/2018): Medline, PubMed Central, Science Citation Index expanded/Social Sciences Citation Index expanded (SCIe/SSCIe), and Scopus CiteScore Metrics. The titles of all the articles (Jan-2006 to Dec-2016) in the identified journals were gathered into a single text corpus. The following analyses were performed (Iramuteq 0.7): lexicographic analysis to determine the number, frequency and distribution of active words; descending hierarchical classification (DHC) to categorize active words and journals into lexical classes; factorial correspondence analyses (FCA) to obtain bi- and tri-dimensional graphs.
    RESULTS: A total of 285 journals comprising 316,089 articles (median 70.4 articles [IQR 34.0-141.0] per journal per year) were included for the analyses. The journals were indexed in Scopus (90.2%) with a median CiteScore of 1.16 (IQR 0.28-2.55); in SCIe/SSCIe (44.6%) with a median impact factor of 2.410 (IQR 1.629-3.316); and in PubMed (65.7%). The DHC of active words produced three major groups (A, B, C) with two lexical classes each, representing six Pharmacy subareas depicted by the FCA as: Group A comprising 'Cell Pharmacology' (20 journals) and 'Molecular Pharmacology' (46 journals), Group B with 'Clinical Pharmacology' (57 journals) and 'Pharmacy Practice' (67 journals), and Group C with 'Pharmaceutics' (35 journals) and 'Pharmaceutical Analysis' (60 journals). Coverage of the classes in bibliographic databases and impact metrics is unbalanced.
    CONCLUSIONS: Pharmacy journals that can be objectively classified into six different classes that represent different research subareas with uneven coverage in bibliographic databases.
    Keywords:  Bibliometrics; Periodicals as topic; Pharmacy; Principal component analysis
    DOI:  https://doi.org/10.1016/j.sapharm.2019.01.011
  7. Med Humanit. 2019 Jan 19. pii: medhum-2018-011446. [Epub ahead of print]
    Kendal E.
      Infectious disease epidemics are widely recognised as a serious global threat. The need to educate the public regarding health and safety during an epidemic is particularly apparent when considering that behavioural changes can have a profound impact on disease spread. While there is a large body of literature focused on the opportunities and pitfalls of engaging mass news media during an epidemic, given the pervasiveness of popular film in modern society there is a relative lack of research regarding the potential role of fictional media in educating the public about epidemics. There is a growing collection of viral outbreak films that might serve as a source of information about epidemics for popular culture consumers that warrants critical examination. As such, this paper considers the motivating factors behind engaging preventive behaviours during a disease outbreak, and the role news and popular media may have in influencing these behaviours.
    Keywords:  film; medical ethics/bioethics; medical humanities; public health
    DOI:  https://doi.org/10.1136/medhum-2018-011446
  8. Online J Public Health Inform. 2018 ;10(3): e221
    Hamzehei R, Ansari M, Rahmatizadeh S, Valizadeh-Haghi S.
      Objectives: Health service providers use internet as a tool for the spreading of health information and people often go on the web to acquire information about a disease. A wide range of information with varying qualities and by authors with varying degrees of credibility has thus become accessible by the public. Most people believe that the health information available on the internet is reliable. This issue reveals the need for having a critical view of the health information available online that is directly related to people's life. The Ebola epidemic is an emergency situation in the international public health domain and the internet is regarded as an important source for obtaining information on this disease. Given the absence of studies on the trustworthiness of health websites on Ebola, the present study was conducted to assess the trustworthiness of websites which are focused on this disease.Methods: The term "Ebola" was searched in Google, Yahoo and Bing search engines. Google Chrome browser was used for this purpose with the settings fixed on yielding 10 results per page. The first 30 English language websites in each of the three search engines were evaluated manually by using the HONcode of conduct tool. Moreover, the official HONcode toolbar was used to identify websites that had been officially certified by HON foundation. Results: Almost the half of the retrieved websites were commercial (49%). Complementarity was the least-observed criterion (37%) in all the websites retrieved from all three-search engines. Justifiability, Transparency and Financial Disclosure had been completely observed (100%).
    Discussion: The present study showed that only three criteria (Justifiability, Transparency and Financial Disclosure) out of the eight HON criteria were observed in the examined websites. Like other health websites, the websites concerned with Ebola are not reliable and should be used with caution.
    Conclusion: Considering the lack of a specific policy about the publication of health information on the web, it is necessary for healthcare providers to advise their patients to use only credible websites. Furthermore, teaching them the criteria for assessing the trustworthiness of health websites would be helpful.
    Keywords:  Ebola; Patient portals; internet; online health information; patient education; self-care
    DOI:  https://doi.org/10.5210/ojphi.v10i3.9544
  9. BioData Min. 2019 ;12 2
    Jeanquartier F, Jean-Quartier C, Holzinger A.
      Background: A plethora of Web resources are available offering information on clinical, pre-clinical, genomic and theoretical aspects of cancer, including not only the comprehensive cancer projects as ICGC and TCGA, but also less-known and more specialized projects on pediatric diseases such as PCGP. However, in case of data on childhood cancer there is very little information openly available. Several web-based resources and tools offer general biomedical data which are not purpose-built, for neither pediatric nor cancer analysis. Additionally, many Web resources on cancer focus on incidence data and statistical social characteristics as well as self-regulating communities.Methods: We summarize those resources which are open and are considered to support scientific fundamental research, while we address our comparison to 11 identified pediatric cancer-specific resources (5 tools, 6 databases). The evaluation consists of 5 use cases on the example of brain tumor research and covers user-defined search scenarios as well as data mining tasks, also examining interactive visual analysis features.
    Results: Web resources differ in terms of information quantity and presentation. Pedican lists an abundance of entries with few selection features. PeCan and PedcBioPortal include visual analysis tools while the latter integrates published and new consortia-based data. UCSC Xena Browser offers an in-depth analysis of genomic data. ICGC data portal provides various features for data analysis and an option to submit own data. Its focus lies on adult Pan-Cancer projects. Pediatric Pan-Cancer datasets are being integrated into PeCan and PedcBioPortal. Comparing information on prominent mutations within glioma discloses well-known, unknown, possible, as well as inapplicable biomarkers. This summary further emphasizes the varying data allocation. Tested tools show advantages and disadvantages, depending on the respective use case scenario, providing inhomogeneous data quantity and information specifics.
    Conclusions: Web resources on specific pediatric cancers are less abundant and less-known compared to those offering adult cancer research data. Meanwhile, current efforts of ongoing pediatric data collection and Pan-Cancer projects indicate future opportunities for childhood cancer research, that is greatly needed for both fundamental as well as clinical research.
    Keywords:  Brain tumor; Cancer database; Childhood cancer; Glioma; In silico analysis; Open research; Pediatric oncology
    DOI:  https://doi.org/10.1186/s13040-018-0190-8
  10. J Med Internet Res. 2019 Jan 16. 21(1): e11935
    Mueller SM, Jungo P, Cajacob L, Schwegler S, Itin P, Brandt O.
      BACKGROUND: Approximately 80% of internet users access health information online and patients with chronic illnesses especially rely on internet-based resources. YouTube ranks second among the most accessed websites worldwide and hosts an increasing number of videos with medical information. However, their quality is sometimes unscientific, misleading, or even harmful.OBJECTIVE: As little is known about YouTube as a source of information on psoriasis, we aimed to investigate the quality of psoriasis-related videos and, if necessary, point out strategies for their improvement.
    METHODS: The quality of the 100 most viewed psoriasis-related videos was assessed using the DISCERN instrument and the Global Quality Scale (GQS) by categorizing the videos into useful, misleading, and dangerous and by evaluating the reception of the videos by users.
    RESULTS: Evaluation of the videos exhibited a total of 117,221,391 views and a total duration of 10:28 hour. The majority of clips contained anecdotal personal experiences with complementary and alternative psoriasis treatments, topical treatments, and nutrition and diets being the most frequently addressed topics. While advertisements accounted for 26.0% (26/100) of the videos, evidence-based health information amounted to only 20.0% (20/100); 32.0% (32/100) of the videos were classified as useful, 52.0% (52/100) as misleading, and 11.0% (11/100) as even dangerous. The quality of the videos evaluated by DISCERN and GQS was generally low (1.87 and 1.95, respectively, on a 1 to 5 scale with 5 being the maximum). Moreover, we found that viewers rated poor-quality videos better than higher quality videos.
    CONCLUSIONS: Our in-depth study demonstrates that nearly two-thirds of the psoriasis-related videos we analyzed disseminate misleading or even dangerous content. Subjective anecdotal and unscientific content is disproportionately overrepresented and poor-quality videos are predominantly rated positively by users, while higher quality video clips receive less positive ratings. Strategies by professional dermatological organizations are urgently needed to improve the quality of information on psoriasis on YouTube and other social media.
    Keywords:  YouTube videos; dangerous content; layperson; misleading information; poor quality; psoriasis
    DOI:  https://doi.org/10.2196/11935
  11. BMC Bioinformatics. 2019 Jan 24. 20(1): 50
    Maraver P, Armañanzas R, Gillette TA, Ascoli GA.
      BACKGROUND: The biomedical literature is expanding at ever-increasing rates, and it has become extremely challenging for researchers to keep abreast of new data and discoveries even in their own domains of expertise. We introduce PaperBot, a configurable, modular, open-source crawler to automatically find and efficiently index peer-reviewed publications based on periodic full-text searches across publisher web portals.RESULTS: PaperBot may operate stand-alone or it can be easily integrated with other software platforms and knowledge bases. Without user interactions, PaperBot retrieves and stores the bibliographic information (full reference, corresponding email contact, and full-text keyword hits) based on pre-set search logic from a wide range of sources including Elsevier, Wiley, Springer, PubMed/PubMedCentral, Nature, and Google Scholar. Although different publishing sites require different search configurations, the common interface of PaperBot unifies the process from the user perspective. Once saved, all information becomes web accessible allowing efficient triage of articles based on their actual relevance and seamless annotation of suitable metadata content. The platform allows the agile reconfiguration of all key details, such as the selection of search portals, keywords, and metadata dimensions. The tool also provides a one-click option for adding articles manually via digital object identifier or PubMed ID. The microservice architecture of PaperBot implements these capabilities as a loosely coupled collection of distinct modules devised to work separately, as a whole, or to be integrated with or replaced by additional software. All metadata is stored in a schema-less NoSQL database designed to scale efficiently in clusters by minimizing the impedance mismatch between relational model and in-memory data structures.
    CONCLUSIONS: As a testbed, we deployed PaperBot to help identify and manage peer-reviewed articles pertaining to digital reconstructions of neuronal morphology in support of the NeuroMorpho.Org data repository. PaperBot enabled the custom definition of both general and neuroscience-specific metadata dimensions, such as animal species, brain region, neuron type, and digital tracing system. Since deployment, PaperBot helped NeuroMorpho.Org more than quintuple the yearly volume of processed information while maintaining a stable personnel workforce.
    Keywords:  Cloud-ready software; Microservices; Open-source; Scientific indexer
    DOI:  https://doi.org/10.1186/s12859-019-2613-z