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MEDLIB-L  June 2019, Week 3

MEDLIB-L June 2019, Week 3

Subject:

[bims-librar] 2019-06-16, twenty selections

From:

Thomas Krichel <[log in to unmask]>

Reply-To:

Thomas Krichel <[log in to unmask]>

Date:

Sun, 16 Jun 2019 06:31:45 +0000

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bims-librar Biomed News on Biomedical librarianship
─────────────────────────────┐
Issue of 2019‒06‒16 │
twenty papers selected by │
Thomas Krichel (Open Library │
 Society) │
 http://e.biomed.news/librar
                             │
                             │
                             └──────────────────────────────────────────────────
────────────────────────────────────────────────────────────────────────────────

 1. A Productive Proposed Search Syntax for Health Disaster Preparedness
     Research.
 2. Medical misinformation and the internet: a call to arms.
 3. Can You Hear Me Now? Social Listening as a Strategy for Understanding
     User Needs.
 4. Leveraging the Librarian in a Nurse Residency Program.
 5. Now Tell Us What You Want: Information-Seeking Habits of Health
     Sciences Faculty.
 6. ARtPM: Article Retrieval for Precision Medicine.
 7. Reference to Stacks: Getting the Most out of Library Resources.
 8. Event-Dataset: Temporal information retrieval and text classification
     dataset.
 9. An Optometry Librarian's Vision: Improved Student Scholarly
     Communication.
10. No Regrets When It Comes to Your Health: Anticipated Regret,
     Subjective Norms, Information Insufficiency and Intent to Seek Health
     Information from Multiple Sources.
11. Comparison of the accuracy of CBCT effective radiation dose
     information in peer-reviewed journals and dental media.
12. Mining of Textual Health Information from Reddit: Analysis of Chronic
     Diseases With Extracted Entities and Their Relations.
13. Quality assessment of patient information on the management of
     gallstone disease in the internet - A systematic analysis using the
     modified ensuring quality information for patients tool.
14. PROSPERO: An International Register of Systematic Review Protocols.
15. Learning Instruction: How an Academic Librarian Transitioned to a
     Health Sciences Environment.
16. The development of search filters for adverse effects of medical
     devices in medline and embase.
17. Use of Web-Based Health Services in Individuals With and Without
     Symptoms of Hypochondria: Survey Study.
18. ESLMT: a new clustering method for biomedical document retrieval.
19. Learning to Love the LOR: Implementing an Internal Learning Object
     Repository at a Large National Organization.
20. eHealth Literacy in Otolaryngology Patients.

────────────────────────────────────────────────────────────────────────────────

                                         Bull Emerg Trauma. 2019 Apr;7(2): 93-98
 1. A Productive Proposed Search Syntax for Health Disaster Preparedness
     Research.
   Rastegarfar B, Ardalan A, Nejat S, Keshtkar A, Moradian MJ
  Objective: To find a proper search strategy to do a systematic review
  related to preparedness for disasters.
   Methods: MeSH and Emtree terms were searched to detect synonyms for two main
  search terms "disaster" and "preparedness". Expert opinion on the synonyms
  was examined applying a Google form. The adopted syntax was searched in
  PubMed and results were sifted. Hand searching in two top key journals was
  done and sensitivity was calculated.
   Results: Out of 1120 articles, 122 were included. In PDM journal, 10
  articles were included by hand searching, out of which 5 were not spotted in
  PubMed search with the proposed syntax. In DMPHP journal, 13 publications
  were included, with 5 not found in PubMed search. Because of human error in
  hand searching 2 articles were added.
   Conclusion: The proposed syntax in this study achieves a sensitivity of
  search of 0.6 in PubMed which could be quite applicable for researchers.
  Moreover, in case only MeSH or Emtree terms were applied in search strategy
  or where hand searching was not performed, there were a number of articles
  missed.
   Keywords: Disaster; Health; Preparedness
  DOI: https://doi.org/10.29252/beat-070201.
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31198795

                               Lancet. 2019 Jun 08. pii: S0140-6736(19)31206-1.
 2. Medical misinformation and the internet: a call to arms.
   Gunter J
  DOI: https://doi.org/10.1016/S0140-6736(19)31206-1
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31180024

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 181-186
 3. Can You Hear Me Now? Social Listening as a Strategy for Understanding
     User Needs.
   Pomputius A
  Maintaining regular engagement with audiences through various forms of
  social media is becoming more important as library users and the general
  public increasingly rely on social media for news, updates, and feedback.
  While large corporations have been monitoring social media for more than a
  decade, libraries have recently begun to use social listening to stay
  abreast of trends and assess user needs as voiced directly by their
  communities. This column will explain what social listening is, explore
  concerns over its widespread application, consider examples of social media
  listening software currently available, and offer an overview of its
  application in library settings.
   Keywords: Emerging technology; libraries; social listening; social media
  DOI: https://doi.org/10.1080/02763869.2019.1588042
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173567

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 113-130
 4. Leveraging the Librarian in a Nurse Residency Program.
   Glotfelty-Scheuering OA
  Hospitals are increasingly implementing Nurse Residency Programs (NRPs), but
  medical librarians are often left out of their institution's respective
  programs. Librarians possess a unique, knowledge-based skill set that is a
  natural fit for the content and goals of a NRP and should be more frequently
  considered and used by such programs. This article identifies and explores
  several roles for librarians in NRPs and discusses the impact and results of
  including librarians.
   Keywords: Escape room; Nurse Residency Program; evidence-based nursing;
    evidence-based practice; hospital library; medical librarian
  DOI: https://doi.org/10.1080/02763869.2019.1588043
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173568

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 131-142
 5. Now Tell Us What You Want: Information-Seeking Habits of Health
     Sciences Faculty.
   Inman M, Blevins AE, Ketterman E, Young KL
  Over the years, library collections have vastly changed due to an
  ever-growing presence of resources available online. Many libraries have
  experienced a dramatic decrease in the circulation of physical materials
  with the shift to online availability of materials. It is of great value to
  ensure libraries are meeting the needs of their users, and this can be
  accomplished by identifying their information-seeking patterns. The aim of
  this article is to examine how faculty use the library and to identify what
  services and resources are of value to their work.
   Keywords: Electronic resources; information seeking; library services;
    survey
  DOI: https://doi.org/10.1080/02763869.2019.1588046
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173574

                      J Biomed Inform. 2019 Jun 11. pii: S1532-0464(19)30143-1.
 6. ARtPM: Article Retrieval for Precision Medicine.
   Milliken LK, Motomarry SK, Kulkarni A
  BACKGROUND: Information curation and literature surveillance efforts that
  synthesize the current knowledge about the impact of genetic variability on
  disease states and drug responses are vitally important for the practise of
  evidence-based precision medicine. For these efforts, finding the relevant
  and comprehensive set of articles from the ever growing scientific
  literature is a challenge.
   METHODS: We have designed and developed Article Retrieval for Precision
  Medicine (ARtPM), an end-to-end article retrieval system that employs
  multi-stage architecture to retrieve and rank relevant articles for a given
  medical case summary (genetic variants, disease, demographic, and other
  medical conditions). We compared ARtPM with five baselines, including PubMed
  Best Match, the improved search functionality recently introduced by PubMed.
   RESULTS: The differences in the performance of ARtPM and five baselines were
  statistically significant for four metrics that quantify different aspects
  of search effectiveness (P-values for P@10, R-prec, infNDCG, Recall@1000
  were <.001, <.001, .003, .009, respectively). Pairwise systems' comparisons
  show that ARtPM is comparable or better than the best performing baseline on
  three metrics (R-prec: 0.324 vs 0.299, P-value=.06; infNDCG: 0.556 vs 0.465,
  P-value=.08; R@1000: 0.665 vs 0.572, P-value=.007), but performance in P@10
  (0.603 vs 0.630, P-value:.64) needs to improve.
   CONCLUSION: The recall-focused phase of the ARtPM is effective at retrieving
  more relevant articles. The precision-focused ranking phase performs well at
  deeper ranks but needs further work on early ranks (e.g., richer feature
  set). Overall, the ARtPM system effectively facilitates evidence-based
  precision medicine practice, and provides a robust search framework for
  further work in this direction.
   Keywords: Biomedical Information Retrieval; Biomedical Knowledge Curation;
    Document Retrieval; Learning to Rank; Precision Medicine; Query Expansion
  DOI: https://doi.org/10.1016/j.jbi.2019.103224
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31200123

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 156-162
 7. Reference to Stacks: Getting the Most out of Library Resources.
   Britton RM, Robertson J
  Changing patron demands, coupled with significant repurposing of library
  space, led the library to experience a marked decline in the usage of the
  print reference collection. Such a significant decrease challenged
  librarians to find new methods for promoting this still viable collection.
  It was decided to integrate the print reference books into the general
  library collection. After a year, circulation data demonstrated that by
  integrating collections, reference titles were now used more frequently.
   Keywords: Academic libraries; collection management; library space;
    medical libraries; reference collection; reference service
  DOI: https://doi.org/10.1080/02763869.2019.1589864
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173573

                                                  Data Brief. 2019 Aug;25 104048
 8. Event-Dataset: Temporal information retrieval and text classification
     dataset.
   Khan SUR, Islam MA
  Recently, Temporal Information Retrieval (TIR) has grabbed the major
  attention of the information retrieval community. TIR exploits the temporal
  dynamics in the information retrieval process and harnesses both textual
  relevance and temporal relevance to fulfill the temporal information
  requirements of a user Ur Rehman Khan et al., 2018. The focus time of
  document is an important temporal aspect which is defined as the time to
  which the content of the document refers Jatowt et al., 2015; Jatowt et al.,
  2013; Morbidoni et al., 2018, Khan et al., 2018. To the best of our
  knowledge, there does not exist any standard benchmark data set (publicly
  available) that holds the potential to comprehensively evaluate the
  performance of focus time assessment strategies. Considering these aspects,
  we have produced the Event-dataset, which is comprised of 35 queries and set
  of news articles for each query. Such that, C = { Q s , D s } , where C
  represents the dataset, Q s is query set Q s = { q 1 , q 2 , q 3 , … … . , q
  35 } and for each q i there is a set of news articles q i = { d r , d n r }
  . d r , d n r are sets of relevant documents and non-relevant documents
  respectively. Each query in the dataset represents a popular event. To
  annotate these articles into relevant and non-relevant, we have employed a
  user-study based evaluation method wherein a group of postgraduate students
  manually annotate the articles into the aforementioned categories. We
  believe that the generation of such dataset can provide an opportunity for
  the information retrieval researchers to use it as a benchmark to evaluate
  focus time assessment methods specifically and information retrieval methods
  generically.
   Keywords: Focus time assessment; Information retrieval; Temporal; Text
    classification
  DOI: https://doi.org/10.1016/j.dib.2019.104048
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31194158

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 163-170
 9. An Optometry Librarian's Vision: Improved Student Scholarly
     Communication.
   Rios DM
  Health profession students benefit academically, clinically, and
  professionally when they acquire the writing skills necessary for scholarly
  communication. The purpose of this article is to discuss how a solo,
  embedded health science librarian spearheaded collaborative efforts and
  contributed to the creation of a scaffolded writing program within the
  existing optometry curriculum. The article includes a discussion of the
  opportunities, challenges, and outcomes of this writing endeavor.
   Keywords: Health profession students; scholarly communication; student
    success; writing skills
  DOI: https://doi.org/10.1080/02763869.2019.1588038
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173572

                                                 Health Commun. 2019 Jun 10. 1-8
10. No Regrets When It Comes to Your Health: Anticipated Regret,
     Subjective Norms, Information Insufficiency and Intent to Seek Health
     Information from Multiple Sources.
   Ahn J, Kahlor LA
  Research suggests that a search for health information from diverse sources
  is crucial for obtaining accurate and quality information. As a result, this
  study examines motivators of intentions to use multiple information sources.
  Our guiding framework is the planned risk information seeking model, which
  poses a direct relationship between seeking-related subjective norms and
  information seeking intentions, and an indirect relationship between those
  two variables through information insufficiency (or perceived need for more
  information). To further explore these relationships, we integrate a novel
  variable, anticipated regret, as an additional mediator of both
  relationships. The information seeking behavior of interest in this study is
  intention to seek information through multiple sources. Survey results from
  379 undergraduate students show that seeking-related subjective norms are
  positively related with information insufficiency through regret, and
  positively related with seeking intent through regret and information
  insufficiency. The implications of these findings are discussed.
  DOI: https://doi.org/10.1080/10410236.2019.1626535
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31177829

                                       Gen Dent. 2019 May-Jun;67(3):67(3): 38-46
11. Comparison of the accuracy of CBCT effective radiation dose
     information in peer-reviewed journals and dental media.
   Hicks D, Melkers M, Barna J, Isett KR, Gilbert GH
  Accessible sources of clinical information have proliferated over the past
  decade. Although these new sources that contextualize information for
  practice are user friendly, there are questions about their accuracy because
  much of the material is not peer reviewed. On the other hand, traditional
  peer-reviewed material can be somewhat removed from the needs of practicing
  dentists, and recently questions have been raised about the accuracy of
  journals. This study assessed the accuracy of cone beam computed tomography
  (CBCT) radiation safety information in both professional media and
  peer-reviewed journals. Articles introducing CBCT technology to dentists and
  published in peer-reviewed journals were compared to articles appearing in
  professional magazines, clinically oriented news sites, and blogs written by
  clinicians for clinicians. The reported radiation doses of CBCT and
  conventional dental radiographs were recorded, as were conclusions about the
  comparative doses of these 2 imaging modalities. The proportion of articles
  reporting CBCT dose to be greater than, equal to, or less than that of
  conventional dental radiographs was not different between the peer-reviewed
  and professional media articles during the period 2003-2016. There is weak
  evidence that the conclusions of peer-reviewed journal articles, but not
  professional media sources, became more conservative after the 2010
  publication of an article in The New York Times that was critical of
  misinformation concerning the safety and efficacy of CBCT in dentistry.
  Professional media articles that were not peer reviewed were as accurate as
  peer-reviewed journals for this topic and during the time period assessed.
  However, the method used here necessitated a narrow focus, and more studies
  are needed to broaden understanding.
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31199743

                                  J Med Internet Res. 2019 Jun 13. 21(6): e12876
12. Mining of Textual Health Information from Reddit: Analysis of Chronic
     Diseases With Extracted Entities and Their Relations.
   Foufi V, Timakum T, Gaudet-Blavignac C, Lovis C, Song M
  BACKGROUND: Social media platforms constitute a rich data source for natural
  language processing tasks such as named entity recognition, relation
  extraction, and sentiment analysis. In particular, social media platforms
  about health provide a different insight into patient's experiences with
  diseases and treatment than those found in the scientific literature.
   OBJECTIVE: This paper aimed to report a study of entities related to chronic
  diseases and their relation in user-generated text posts. The major focus of
  our research is the study of biomedical entities found in health social
  media platforms and their relations and the way people suffering from
  chronic diseases express themselves.
   METHODS: We collected a corpus of 17,624 text posts from disease-specific
  subreddits of the social news and discussion website Reddit. For entity and
  relation extraction from this corpus, we employed the PKDE4J tool developed
  by Song et al (2015). PKDE4J is a text mining system that integrates
  dictionary-based entity extraction and rule-based relation extraction in a
  highly flexible and extensible framework.
   RESULTS: Using PKDE4J, we extracted 2 types of entities and relations:
  biomedical entities and relations and subject-predicate-object entity
  relations. In total, 82,138 entities and 30,341 relation pairs were
  extracted from the Reddit dataset. The most highly mentioned entities were
  those related to oncological disease (2884 occurrences of cancer) and asthma
  (2180 occurrences). The relation pair anatomy-disease was the most frequent
  (5550 occurrences), the highest frequent entities in this pair being cancer
  and lymph. The manual validation of the extracted entities showed a very
  good performance of the system at the entity extraction task (3682/5151,
  71.48% extracted entities were correctly labeled).
   CONCLUSIONS: This study showed that people are eager to share their personal
  experience with chronic diseases on social media platforms despite possible
  privacy and security issues. The results reported in this paper are
  promising and demonstrate the need for more in-depth studies on the way
  patients with chronic diseases express themselves on social media platforms.
   Keywords: chronic disease; data mining; social media
  DOI: https://doi.org/10.2196/12876
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31199327

    HPB (Oxford). 2019 Jun 05. pii: S1365-182X(19)30476-9. [Epub ahead of print]
13. Quality assessment of patient information on the management of
     gallstone disease in the internet - A systematic analysis using the
     modified ensuring quality information for patients tool.
   Raptis DA, Sinanyan M, Ghani S, Soggiu F, Gilliland JJ, Imber C
  INTRODUCTION: The internet has become a fundamental source of medical
  information for patients, however, little is known about the quality of
  patient information regarding the management of gallstone disease (GD).
   METHODS: A systematic review of information on GD in the internet was
  performed. The top 100 websites for every different search term and search
  engine were assessed using the validated EQIP tool (Score 0-36).
   RESULTS: A total of 2000 websites were identified and 212 (11%) were
  eligible for analysis. The overall median EQIP score of all websites was 15
  (IQR 13-18). Of all websites, 63% originated from North America however,
  these represented the lowest median EQIP score of 15. Only 41% of the
  websites differentiated between clinical presentations and 19% provided
  emergency information. Only 3% of the websites reported complication rates,
  ranging from 3 to 36%.
   CONCLUSION: This is a comprehensive assessment of online patient information
  on GD using the EQIP tool. The assessment of the quality of websites
  concerning GD by the EQIP tool indicates that the majority of sites were of
  low-quality information. There is an immediate need for better informative
  and educational websites regarding GD that are compatible with international
  quality standards.
  DOI: https://doi.org/10.1016/j.hpb.2019.03.355
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31174998

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 171-180
14. PROSPERO: An International Register of Systematic Review Protocols.
   Schiavo JH
  PROSPERO is an international database of systematic review protocols
  produced by the University of York's Center for Research and Dissemination
  and funded by the National Institute for Health Research. It contains
  protocols of systematic reviews on health and social care, welfare, public
  health, education, crime, justice, and health-related international
  development. PROSPERO compiles a comprehensive listing of systematic review
  protocols in an attempt to avoid duplication of effort, reduce reporting
  bias, and promote transparency.
   Keywords: Evidence-based practice; health sciences database; product
    evaluation; search engine
  DOI: https://doi.org/10.1080/02763869.2019.1588072
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173570

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 197-201
15. Learning Instruction: How an Academic Librarian Transitioned to a
     Health Sciences Environment.
   Moreau E
  This guest column details the experience of an early career academic
  librarian learning how to instruct and assist students in health sciences
  programs. It includes information on mentoring, peer coaching, formal and
  informal trainings, and proficiencies needed for reference and instruction
  services. The author shares sources of specific knowledge and skills that
  empowered her to transition to health sciences librarianship.
   Keywords: Library instruction; health sciences librarianship; medical
    education
  DOI: https://doi.org/10.1080/02763869.2019.1595281
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173569

                                                Health Info Libr J. 2019 Jun 11.
16. The development of search filters for adverse effects of medical
     devices in medline and embase.
   Golder S, Farrah K, Mierzwinski-Urban M, Wright K, Loke YK
  BACKGROUND: Objectively derived search filters for adverse drug effects and
  complications in surgery have been developed but not for medical device
  adverse effects.
   OBJECTIVE: To develop and validate search filters to retrieve evidence on
  medical device adverse effects from ovid medline and embase.
   METHODS: We identified systematic reviews from Epistemonikos and the Health
  Technology Assessment (hta) database. Included studies within these reviews
  that reported on medical device adverse effects were randomly divided into
  three test sets and one validation set of records. Using word frequency
  analysis from one test set, we constructed a sensitivity maximising search
  strategy. This strategy was refined using two other test sets, then
  validated.
   RESULTS: From 186 systematic reviews which met our inclusion criteria, 1984
  unique included studies were available from medline and 1986 from embase.
  Generic adverse effects searches in medline and embase achieved 84% and 83%
  sensitivity. Recall was improved to over 90%, however, when specific adverse
  effects terms were added.
   CONCLUSION: We have derived and validated novel search filters that retrieve
  over 80% of records with medical device adverse effects data in medline and
  embase. The addition of specific adverse effects terms is required to
  achieve higher levels of sensitivity.
   Keywords: embase ; medline ; information retrieval; literature searching;
    medical devices; medical subject headings (MeSH); meta-analysis;
    methodological filters; review; search strategies; searching
  DOI: https://doi.org/10.1111/hir.12260
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31187590

                                  J Med Internet Res. 2019 Jun 10. 21(6): e10980
17. Use of Web-Based Health Services in Individuals With and Without
     Symptoms of Hypochondria: Survey Study.
   Eichenberg C, Schott M
  BACKGROUND: An increasing number of people consult physicians because of
  distressing information found online. Cyberchondria refers to the phenomenon
  of health anxiety because of online health information.
   OBJECTIVE: This study aimed to examine online health research of individuals
  with and without symptoms of hypochondria and their impact on health anxiety
  as well as behavior.
   METHODS: An online survey was conducted. Demographic data, health-related
  internet use, and general health behavior were assessed. The illness
  attitude scale was used to record symptoms of hypochondria.
   RESULTS: The final sample consisted of N=471 participants. More than 40%
  (188/471) of participants showed at least some symptoms of hypochondria.
  Participants with symptoms of hypochondria used the internet more frequently
  for health-related purposes and also frequented more online services than
  individuals without symptoms. Most online health services were rated as more
  reliable by individuals with symptoms of hypochondria. Changes to behavior
  such as doctor hopping or ordering nonprescribed medicine online were
  considered more likely by individuals with symptoms of hypochondria.
   CONCLUSIONS: Results show that individuals with symptoms of hypochondria do
  not turn to online research as a result of lacking alternatives but rather
  consult health services on- as well as offline.
   Keywords: anxiety; eHealth; hypochondria; survey
  DOI: https://doi.org/10.2196/10980
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31199311

Biomed Tech (Berl). 2019 Jun 14. pii: /j/bmte.ahead-of-print/bmt-2018-0068/bmt-2018-0068.xml.
18. ESLMT: a new clustering method for biomedical document retrieval.
   Keyvanpour M, Serpush F
  MEDLINE is a rapidly growing database; to utilize this resource,
  practitioners and biomedical researchers have dealt with tedious and
  time-consuming tasks such as discovering, searching, reading and evaluating
  of biomedical documents. However, making a label for a group of biomedical
  documents is expensive and needs a complicated operation. Otherwise,
  compound words, polysemous and synonymous problems can influence the search
  in MEDLINE. Therefore, designing an efficient way of sharing knowledge and
  information organization is essential so that information retrieval systems
  can provide ideal outcomes. For this purpose, different strategies are used
  in the retrieval of biomedical documents (RBD). However, still a number of
  unrelated results for the users' query are obtained in the RBD process.
  Studies have shown that well-defined clusters in the retrieval system
  exhibit a more efficient performance in contrast to the document-based
  retrieval. Accordingly, the present study proposes the Expanding Statistical
  Language Modeling and Thesaurus (ESLMT) for clustering and retrieving
  biomedical documents. The results showed that Clustering with ESLM
  Similarity and Thesaurus (CESLMST) in all those criteria in this study have
  a higher value than the other compared methods. The results indicated that
  the mean average precision (MAP) has improved in the Clusters' Retrieval
  Derived from ESLM Similarity-Query (CRDESLMS-QET) method in comparison to
  the previous methods with the Text REtrieval Conference (TREC) data set.
   Keywords: MEDLINE; MeSH thesaurus; biomedical document retrieval;
    clustering; statistical language modeling
  DOI: https://doi.org/10.1515/bmt-2018-0068
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31199756

                               Med Ref Serv Q. 2019 Apr-Jun;38(2):38(2): 143-155
19. Learning to Love the LOR: Implementing an Internal Learning Object
     Repository at a Large National Organization.
   Knapp M, Risha Z, Gatewood R, Van Der Volgen J, Brown R, Kizilboga R
  This article is a case study that discusses the development and
  implementation of an internal learning object repository (LOR) for a large
  national organization with a distributed working environment. It describes
  the organizational environment and why an internal LOR was needed. It
  describes technical considerations, including the various document
  management systems (DMS) available, and why an open source DMS was selected
  to use as an internal LOR. Lastly, this article weighs the benefits and
  challenges of implementing a LOR across a distributed working environment
  and reflects on challenges associated with implementation.
   Keywords: Digital learning objects repository; document management
    systems; learning object repository
  DOI: https://doi.org/10.1080/02763869.2019.1588049
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31173571

                            Ann Otol Rhinol Laryngol. 2019 Jun 13. 3489419856377
20. eHealth Literacy in Otolaryngology Patients.
   Bailey CE, Kohler WJ, Makary C, Davis K, Sweet N, Carr M
  OBJECTIVES: The aim of this study was to compare eHealth literacy-one's
  perception of one's ability to use the Internet for health care-among
  otolaryngology patients in 3 geographic settings of the same department.
   SETTING: An academic otolaryngology department.
   METHOD: Patients' opinions and perceptions of their eHealth literacy were
  assessed with a validated paper survey administered in the summer of 2017.
   RESULTS: Of 381 asked, 351 people completed the survey, 149 at a university
  town teaching hospital clinic (group A), 101 at a nearby rural clinic (group
  B), and 101 at a remote rural clinic (group C). Mean scores were 30.80,
  28.97, and 29.03 for groups A, B, and C, respectively. The overall mean was
  29.76 ± 5.97. Three surveys reported the minimum score of 8, and 26 reported
  the maximum score of 40. Results were statistically significantly different
  among all sites (P = .001), between groups A and B (P = .027), and between
  groups A and C (P = .0175). Women reported higher eHealth literacy (30.13 ±
  6.27) than men (28.87 ± 5.11) (P = .045). Participant age and role (patient
  or parent of a patient) were statistically insignificant. Mean scores were
  similar to those previously reported in other patient populations.
   CONCLUSIONS: Otolaryngology patients in a university town had better eHealth
  literacy than patients in more rural settings, suggesting that online
  medical resources and access points are less likely to be useful in rural
  populations.
   Keywords: eHEALS; eHealth; electronic; health literacy; self-assessment
  DOI: https://doi.org/10.1177/0003489419856377
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31195809

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October 2003, Week 4
October 2003, Week 3
October 2003, Week 2
October 2003, Week 1
September 2003, Week 5
September 2003, Week 4
September 2003, Week 3
September 2003, Week 2
September 2003, Week 1
August 2003, Week 5
August 2003, Week 4
August 2003, Week 3
August 2003, Week 2
August 2003, Week 1
July 2003, Week 5
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July 2003, Week 3
July 2003, Week 2
July 2003, Week 1
June 2003, Week 5
June 2003, Week 4
June 2003, Week 3
June 2003, Week 2
June 2003, Week 1
May 2003, Week 5
May 2003, Week 4
May 2003, Week 3
May 2003, Week 2
May 2003, Week 1
April 2003, Week 5
April 2003, Week 4
April 2003, Week 3
April 2003, Week 2
April 2003, Week 1
March 2003, Week 5
March 2003, Week 4
March 2003, Week 3
March 2003, Week 2
March 2003, Week 1
February 2003, Week 4
February 2003, Week 3
February 2003, Week 2
February 2003, Week 1
January 2003, Week 5
January 2003, Week 4
January 2003, Week 3
January 2003, Week 2
January 2003, Week 1
December 2002, Week 5
December 2002, Week 4
December 2002, Week 3
December 2002, Week 2
December 2002, Week 1
November 2002, Week 5
November 2002, Week 4
November 2002, Week 3
November 2002, Week 2
November 2002, Week 1
October 2002, Week 5
October 2002, Week 4
October 2002, Week 3
October 2002, Week 2
October 2002, Week 1
September 2002, Week 5
September 2002, Week 4
September 2002, Week 3
September 2002, Week 2
September 2002, Week 1
August 2002, Week 5
August 2002, Week 4
August 2002, Week 3
August 2002, Week 2
August 2002, Week 1
July 2002, Week 5
July 2002, Week 4
July 2002, Week 3
July 2002, Week 2
July 2002, Week 1
June 2002, Week 5
June 2002, Week 4
June 2002, Week 3
June 2002, Week 2
June 2002, Week 1
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May 2002, Week 4
May 2002, Week 3
May 2002, Week 2
May 2002, Week 1
April 2002, Week 5
April 2002, Week 4
April 2002, Week 3
April 2002, Week 2
April 2002, Week 1
March 2002, Week 5
March 2002, Week 4
March 2002, Week 3
March 2002, Week 2
March 2002, Week 1
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February 2002, Week 1
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January 2002, Week 3
January 2002, Week 2
January 2002, Week 1
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December 2001, Week 3
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December 2001, Week 1
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November 2001, Week 2
November 2001, Week 1
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October 2001, Week 3
October 2001, Week 2
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September 2001, Week 3
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August 2001, Week 4
August 2001, Week 3
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July 2001, Week 1
June 2001, Week 5
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June 2001, Week 2
June 2001, Week 1
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May 2001, Week 2
May 2001, Week 1
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April 2001, Week 3
April 2001, Week 2
April 2001, Week 1
March 2001, Week 5
March 2001, Week 4
March 2001, Week 3
March 2001, Week 2
March 2001, Week 1
February 2001, Week 4
February 2001, Week 3
February 2001, Week 2
February 2001, Week 1
January 2001, Week 5
January 2001, Week 4
January 2001, Week 3
January 2001, Week 2
January 2001, Week 1
December 2000, Week 5
December 2000, Week 4
December 2000, Week 3
December 2000, Week 2
December 2000, Week 1
November 2000, Week 5
November 2000, Week 4
November 2000, Week 3
November 2000, Week 2
November 2000, Week 1
October 2000, Week 5
October 2000, Week 4
October 2000, Week 3
October 2000, Week 2
October 2000, Week 1
September 2000, Week 5
September 2000, Week 4
September 2000, Week 3
September 2000, Week 2
September 2000, Week 1
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August 2000, Week 4
August 2000, Week 3
August 2000, Week 2
August 2000, Week 1
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July 2000, Week 3
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July 2000, Week 1
June 2000, Week 5
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June 2000, Week 3
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June 2000, Week 1
May 2000, Week 5
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May 2000, Week 2
May 2000, Week 1
April 2000, Week 5
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April 2000, Week 3
April 2000, Week 2
April 2000, Week 1
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March 2000, Week 4
March 2000, Week 3
March 2000, Week 2
March 2000, Week 1
February 2000, Week 5
February 2000, Week 4
February 2000, Week 3
February 2000, Week 2
February 2000, Week 1
January 2000, Week 5
January 2000, Week 4
January 2000, Week 3
January 2000, Week 2
January 2000, Week 1
December 1999, Week 5
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December 1999, Week 3
December 1999, Week 2
December 1999, Week 1
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November 1999, Week 4
November 1999, Week 3
November 1999, Week 2
November 1999, Week 1
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October 1999, Week 4
October 1999, Week 3
October 1999, Week 2
October 1999, Week 1
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September 1999, Week 3
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September 1999, Week 1
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August 1999, Week 3
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May 1999, Week 1
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April 1999, Week 3
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April 1999, Week 1
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March 1999, Week 3
March 1999, Week 2
March 1999, Week 1
February 1999, Week 4
February 1999, Week 3
February 1999, Week 2
February 1999, Week 1
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January 1999, Week 4
January 1999, Week 3
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January 1999, Week 1
December 1998, Week 5
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December 1998, Week 3
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December 1998, Week 1
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October 1998, Week 3
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October 1998, Week 1
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September 1998, Week 2
September 1998, Week 1
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August 1998, Week 1
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July 1998, Week 3
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July 1998, Week 1
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June 1998, Week 4
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May 1998, Week 1
April 1998, Week 5
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April 1998, Week 3
April 1998, Week 2
April 1998, Week 1
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March 1998, Week 4
March 1998, Week 3
March 1998, Week 2
March 1998, Week 1
February 1998, Week 4
February 1998, Week 3
February 1998, Week 2
February 1998, Week 1
January 1998, Week 5
January 1998, Week 4
January 1998, Week 3
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January 1998, Week 1
December 1997, Week 5
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December 1997, Week 3
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December 1997, Week 1
November 1997, Week 5
November 1997, Week 4
November 1997, Week 3
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November 1997, Week 1
October 1997, Week 5
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October 1997, Week 3
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October 1997, Week 1
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September 1997, Week 2
September 1997, Week 1
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July 1997, Week 1
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May 1997, Week 3
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May 1997, Week 1
April 1997, Week 5
April 1997, Week 4
April 1997, Week 3
April 1997, Week 2
April 1997, Week 1
March 1997, Week 5
March 1997, Week 4
March 1997, Week 3
March 1997, Week 2
March 1997, Week 1
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February 1997, Week 3
February 1997, Week 2
February 1997, Week 1
January 1997, Week 5
January 1997, Week 4
January 1997, Week 3
January 1997, Week 2
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April 1996, Week 1
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March 1996, Week 3
March 1996, Week 2
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February 1996, Week 5
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December 1995, Week 5
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May 1995, Week 3
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May 1995, Week 1
April 1995, Week 5
April 1995, Week 4
April 1995, Week 3
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April 1995, Week 1
March 1995, Week 5
March 1995, Week 4
March 1995, Week 3
March 1995, Week 2
March 1995, Week 1
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February 1995, Week 1
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June 1994, Week 1
May 1994, Week 5
May 1994, Week 4
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May 1994, Week 2
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