bims-librar Biomed News on Biomedical librarianship
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Issue of 2020‒05‒10 │
ten papers selected by │
Thomas Krichel (Open Library │
Society) │
http://e.biomed.news/librar │
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1. Effect of Online Health Information Seeking on Anxiety in Hospitalized
Pregnant Women: Cohort Study.
2. TeamTat: a collaborative text annotation tool.
3. Using Google Trends to assess the impact of global public health days
on online health information seeking behaviour in Central and South
America.
4. The role of health classifications in health information management.
5. [Use of health information on the internet: personal and motivational
influencing factors].
6. [Toolbox for user-experience evaluation of online health information].
7. The new International Classification of Diseases 11th edition: a
comparative analysis with ICD-10 and ICD-10-CM.
8. SIB Literature Services: RESTful customizable search engines in
biomedical literature, enriched with automatically mapped biomedical
concepts.
9. An assessment of the quality of current clinical meta-analyses.
10. Developing a strategy to improve data sharing in health research: A
mixed-methods study to identify barriers and facilitators.
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JMIR Med Inform. 2020 May 06. 8(5): e16793
1. Effect of Online Health Information Seeking on Anxiety in Hospitalized
Pregnant Women: Cohort Study.
Coglianese F, Beltrame Vriz G, Soriani N, Piras GN, Comoretto RI, Clemente
L, Fasan J, Cristiano L, Schiavinato V, Adamo V, Marchesoni D, Gregori D
BACKGROUND: There are approximately 1,000,000 pregnant women at high risk
for obstetric complications per year, more than half of whom require
hospitalization.
OBJECTIVE: The aim of this study was to determine the relation between
online health information seeking and anxiety levels in a sample of
hospitalized woman with pregnancy-related complications.
METHODS: A sample of 105 pregnant women hospitalized in northern Italy, all
with an obstetric complication diagnosis, completed different
questionnaires: Use of Internet Health-information (UIH) questionnaire about
use of the internet, EuroQOL 5 dimensions (EQ-5D) questionnaire on quality
of life, State-Trait Anxiety Inventory (STAI) questionnaire measuring
general anxiety levels, and a questionnaire about critical events occurring
during hospitalization.
RESULTS: Overall, 98/105 (93.3%) of the women used the internet at home to
obtain nonspecific information about health in general and 95/105 (90.5%) of
the women used the internet to specifically search for information related
to their obstetric disease. Online health information-seeking behavior
substantially decreased the self-reported anxiety levels (P=.008).
CONCLUSIONS: Web browsing for health information was associated with anxiety
reduction, suggesting that the internet can be a useful instrument in
supporting professional intervention to control and possibly reduce
discomfort and anxiety for women during complicated pregnancies.
Keywords: anxiety; internet use; pregnant women; web health information
DOI: https://doi.org/10.2196/16793
URL: http://pubmed.ncbi.nlm.nih.gov/32374268
Nucleic Acids Res. 2020 May 08. pii: gkaa333. [Epub ahead of print]
2. TeamTat: a collaborative text annotation tool.
Islamaj R, Kwon D, Kim S, Lu Z
Manually annotated data is key to developing text-mining and
information-extraction algorithms. However, human annotation requires
considerable time, effort and expertise. Given the rapid growth of
biomedical literature, it is paramount to build tools that facilitate speed
and maintain expert quality. While existing text annotation tools may
provide user-friendly interfaces to domain experts, limited support is
available for figure display, project management, and multi-user team
annotation. In response, we developed TeamTat (https://www.teamtat.org), a
web-based annotation tool (local setup available), equipped to manage team
annotation projects engagingly and efficiently. TeamTat is a novel tool for
managing multi-user, multi-label document annotation, reflecting the entire
production life cycle. Project managers can specify annotation schema for
entities and relations and select annotator(s) and distribute documents
anonymously to prevent bias. Document input format can be plain text, PDF or
BioC (uploaded locally or automatically retrieved from PubMed/PMC), and
output format is BioC with inline annotations. TeamTat displays figures from
the full text for the annotator's convenience. Multiple users can work on
the same document independently in their workspaces, and the team manager
can track task completion. TeamTat provides corpus quality assessment via
inter-annotator agreement statistics, and a user-friendly interface
convenient for annotation review and inter-annotator disagreement resolution
to improve corpus quality.
DOI: https://doi.org/10.1093/nar/gkaa333
URL: http://pubmed.ncbi.nlm.nih.gov/32383756
J Glob Health. 2020 Jun;10(1): 010403
3. Using Google Trends to assess the impact of global public health days
on online health information seeking behaviour in Central and South
America.
Havelka EM, Mallen CD, Shepherd TA
Background: Public health awareness can help prevent illness and result in
earlier intervention when it does occur. For this reason, health promotion
and disease awareness campaigns have great potential to alleviate the global
burden of disease. Global Public Health Days (GPHD) are frequently
implemented with this intent, but research evaluating their effectiveness,
especially in the developing world setting, is scant.
Objectives: We aimed to evaluate the impact of four GPHDs (World Cancer Day,
World Diabetes Day, World Mental Health Day, World AIDS Day) on online
health information seeking behaviour (OHISB) in five Central and South
American (CSA) countries which differ in their stage of economic development
and epidemiological transition (Uruguay, Chile, Brazil, Colombia, Nicaragua).
Methods: Google Trends data was used as a 'surrogate' of OHISB. This was
measured on the 28 days leading up to the GPHD, on the date of the GPHD, and
on the seven days following it. The Joinpoint regression programme was used
to perform a time trend analysis on the Google Trends data. This allowed us
to identify statistically significant time points of a change in trend,
which reflect significant 'changes' to OHISB.
Results: GPHDs were inconsistently effective at influencing internet search
query activity in the studied countries. In situations where an effect was
significant, this impact was consistently short-term, with Relative Search
Volume level returning to precampaign levels within 7 days of the GPHD.
Conclusions: Our findings imply the need to revise GPHDs or create
alternative health awareness campaigns, perhaps with a more long-term
approach and tailored to the specific health needs of the CSA population.
Developing effective preventive strategies is vital in helping combat the
rising threat of NCDs in this region.
DOI: https://doi.org/10.7189/jogh.10.010403
URL: http://pubmed.ncbi.nlm.nih.gov/32373327
Health Inf Manag. 2020 May 08. 1833358320905970
4. The role of health classifications in health information management.
Shepheard J, Groom A
DOI: https://doi.org/10.1177/1833358320905970
URL: http://pubmed.ncbi.nlm.nih.gov/32383407
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2020 May 04.
5. [Use of health information on the internet: personal and motivational
influencing factors].
Link E, Baumann E
BACKGROUND AND OBJECTIVES: Taking an active role in healthcare requires
comprehensive health knowledge. One's own online search for health
information can contribute to an appropriate information base. Therefore, it
seems essential to determine the extent to which online services and health
apps are currently used in Germany as well as to analyze which personal and
motivational factors influence whether and how often the German public
search for health information online or use health apps.
METHODS: We conducted an online survey among the German public in a sample
stratified by demographic characteristics (N = 3000). The questionnaire
measured the health-related use of the Internet and health apps as well as
possible personal and motivational factors. The relevance of these factors
for explaining the Internet use for health-related purposes was determined
by regression analyses.
RESULTS: While health-related information searches using the Internet are
widespread in Germany, health apps are used less frequently. In particular
health information platforms are most frequently used to search for
information on disease symptoms. Turning to the Internet for health-related
purposes is mainly influenced by motivational factors. Having current health
problems and possessing information-seeking skills are particularly
influential factors for an individual's Internet use.
CONCLUSIONS: In order to unfold the potential associated with health-related
online information-seeking behaviors, it is necessary that people are
motivated and feel competent to gather online information themselves. In
particular, the corresponding skills need to be promoted in order to reduce
the risk of increasing informational, health, and social disparities.
Keywords: Empowered patients; Health promotion; Health-realted online
search; Uncertainty management
DOI: https://doi.org/10.1007/s00103-020-03144-5
URL: http://pubmed.ncbi.nlm.nih.gov/32367207
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2020 May 04.
6. [Toolbox for user-experience evaluation of online health information].
Thielsch MT, Salaschek M
The Internet is now a central source of health information. An ideal design
of web services and e‑health programs requires valid evaluations of users'
perceptions, the so-called user experience. As part of a research project
with the German Federal Centre for Health Education (BZgA), a toolbox for
website evaluation (for screening and monitoring) was compiled for this
purpose from freely available quantitative empirical questionnaires. With
this toolbox, key aspects of the web user experience can be reliably and
validly assessed. In this article, we describe the toolbox's components,
underlying quality criteria, and practical experiences.The aim of the
toolbox is to facilitate methodically high-quality, comprehensive, and
time-efficient analyses. A total of nine standardized instruments and
supplementary single items from three areas are documented. In the standard
version of the toolbox, 35 items are used that can be answered in less than
10 min. For an extended examination of a website, the toolbox documents
additional measures on website content, usability, and aesthetics. We
discuss both the advantages and limitations of the toolbox and give an
outlook on possible future developments.
Keywords: Digital health communication; Evaluation methods; E‑health;
Quality assurance; Usability
DOI: https://doi.org/10.1007/s00103-020-03142-7
URL: http://pubmed.ncbi.nlm.nih.gov/32367206
J Am Med Inform Assoc. 2020 May 01. 27(5): 738-746
7. The new International Classification of Diseases 11th edition: a
comparative analysis with ICD-10 and ICD-10-CM.
Fung KW, Xu J, Bodenreider O
OBJECTIVE: To study the newly adopted International Classification of
Diseases 11th revision (ICD-11) and compare it to the International
Classification of Diseases 10th revision (ICD-10) and International
Classification of Diseases 10th revision-Clinical Modification (ICD-10-CM).
MATERIALS AND METHODS: : Data files and maps were downloaded from the World
Health Organization (WHO) website and through the application programming
interfaces. A round trip method based on the WHO maps was used to identify
equivalent codes between ICD-10 and ICD-11, which were validated by limited
manual review. ICD-11 terms were mapped to ICD-10-CM through normalized
lexical mapping. ICD-10-CM codes in 6 disease areas were also manually
recoded in ICD-11.
RESULTS: Excluding the chapters for traditional medicine, functioning
assessment, and extension codes for postcoordination, ICD-11 has 14 622 leaf
codes (codes that can be used in coding) compared to ICD-10 and ICD-10-CM,
which has 10 607 and 71 932 leaf codes, respectively. We identified 4037
pairs of ICD-10 and ICD-11 codes that were equivalent (estimated accuracy of
96%) by our round trip method. Lexical matching between ICD-11 and ICD-10-CM
identified 4059 pairs of possibly equivalent codes. Manual recoding showed
that 60% of a sample of 388 ICD-10-CM codes could be fully represented in
ICD-11 by precoordinated codes or postcoordination.
CONCLUSION: In ICD-11, there is a moderate increase in the number of codes
over ICD-10. With postcoordination, it is possible to fully represent the
meaning of a high proportion of ICD-10-CM codes, especially with the
addition of a limited number of extension codes.
Keywords: ICD-10; ICD-10-CM; ICD-11; controlled medical vocabularies;
medical terminologies
DOI: https://doi.org/10.1093/jamia/ocaa030
URL: http://pubmed.ncbi.nlm.nih.gov/32364236
Nucleic Acids Res. 2020 May 07. pii: gkaa328. [Epub ahead of print]
8. SIB Literature Services: RESTful customizable search engines in
biomedical literature, enriched with automatically mapped biomedical
concepts.
Julien G, Déborah C, Pierre-André M, Luc M, Emilie P, Patrick R
Thanks to recent efforts by the text mining community, biocurators have now
access to plenty of good tools and Web interfaces for identifying and
visualizing biomedical entities in literature. Yet, many of these systems
start with a PubMed query, which is limited by strong Boolean constraints.
Some semantic search engines exploit entities for Information Retrieval,
and/or deliver relevance-based ranked results. Yet, they are not designed
for supporting a specific curation workflow, and allow very limited control
on the search process. The Swiss Institute of Bioinformatics Literature
Services (SIBiLS) provide personalized Information Retrieval in the
biological literature. Indeed, SIBiLS allow fully customizable search in
semantically enriched contents, based on keywords and/or mapped biomedical
entities from a growing set of standardized and legacy vocabularies. The
services have been used and favourably evaluated to assist the curation of
genes and gene products, by delivering customized literature triage engines
to different curation teams. SIBiLS (https://candy.hesge.ch/SIBiLS) are
freely accessible via REST APIs and are ready to empower any curation
workflow, built on modern technologies scalable with big data: MongoDB and
Elasticsearch. They cover MEDLINE and PubMed Central Open Access enriched by
nearly 2 billion of mapped biomedical entities, and are daily updated.
DOI: https://doi.org/10.1093/nar/gkaa328
URL: http://pubmed.ncbi.nlm.nih.gov/32379317
BMC Med Res Methodol. 2020 May 07. 20(1): 105
9. An assessment of the quality of current clinical meta-analyses.
Hameed I, Demetres M, Tam DY, Rahouma M, Khan FM, Wright DN, Mages K,
DeRosa AP, Nelson BB, Pain K, Delgado D, Girardi LN, Fremes SE, Gaudino M
BACKGROUND: The objective of this study was to assess the overall quality of
study-level meta-analyses in high-ranking journals using commonly employed
guidelines and standards for systematic reviews and meta-analyses.
METHODS: 100 randomly selected study-level meta-analyses published in ten
highest-ranking clinical journals in 2016-2017 were evaluated by medical
librarians against 4 assessments using a scale of 0-100: the Peer Review of
Electronic Search Strategies (PRESS), Preferred Reporting Items for
Systematic Reviews and Meta-Analyses (PRISMA), Institute of Medicine's (IOM)
Standards for Systematic Reviews, and quality items from the Cochrane
Handbook. Multiple regression was performed to assess meta-analyses
characteristics' associated with quality scores.
RESULTS: The overall median (interquartile range) scores were: PRESS
62.5(45.8-75.0), PRISMA 92.6(88.9-96.3), IOM 81.3(76.6-85.9), and Cochrane
66.7(50.0-83.3). Involvement of librarians was associated with higher PRESS
and IOM scores on multiple regression. Compliance with journal guidelines
was associated with higher PRISMA and IOM scores.
CONCLUSION: This study raises concerns regarding the reporting and
methodological quality of published MAs in high impact journals Early
involvement of information specialists, stipulation of detailed author
guidelines, and strict adherence to them may improve quality of published
meta-analyses.
Keywords: Clinical; Cochrane; Epidemiology; IOM; Meta-analysis;
Methodology; PRESS; PRISMA; Quality
DOI: https://doi.org/10.1186/s12874-020-00999-9
URL: http://pubmed.ncbi.nlm.nih.gov/32380945
Health Inf Manag. 2020 May 05. 1833358320917207
10. Developing a strategy to improve data sharing in health research: A
mixed-methods study to identify barriers and facilitators.
Krahe MA, Wolski M, Mickan S, Toohey J, Scuffham P, Reilly S
BACKGROUND: Data sharing presents new opportunities across the spectrum of
research and is vital for science that is open, where data are easily
discoverable, accessible, intelligible, reproducible, replicable and
verifiable. Despite this, it is yet to become common practice. Global
efforts to develop practical guidance for data sharing and open access
initiatives are underway, however evidence-based studies to inform the
development and implementation of effective strategies are lacking.
OBJECTIVE: This study sought to determine the barriers and facilitators to
data sharing among health researchers and to identify the target behaviours
for designing a behaviour change intervention strategy.
METHOD: Data were drawn from a cross-sectional survey of data management
practices among health researchers from one Australian research institute.
Determinants of behaviour were theoretically derived using well-established
behavioural models.
RESULTS: Data sharing practices have been described for 77 researchers, and
6 barriers and 4 facilitators identified. The primary barriers to data
sharing included perceived negative consequences and lack of competency to
share data. The primary facilitators to data sharing included trust in
others using the data and social influence related to public benefit.
Intervention functions likely to be most effective at changing target
behaviours were also identified.
CONCLUSION: Results of this study provide a theoretical and evidence-based
process to understand the behavioural barriers and facilitators of data
sharing among health researchers.
IMPLICATIONS: Designing interventions that specifically address target
behaviours to promote data sharing are important for open researcher
practices.
Keywords: data sharing; health information management; research
DOI: https://doi.org/10.1177/1833358320917207
URL: http://pubmed.ncbi.nlm.nih.gov/32367733
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