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Boutemen L, Miller AN. Readability of publicly available mental health information: A systematic review. Patient Educ Couns 2023; 111:107682. [PMID: 36944285 DOI: 10.1016/j.pec.2023.107682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 02/06/2023] [Accepted: 02/23/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE Relatively little research has examined the health literacy demand of public communication (e.g. websites, pamphlets, and posters) about mental disorders. This study describes characteristics of existing research and summarizes what is known about the readability of such information. METHODS A search of eight data bases yielded 33 studies that met inclusion criteria. Studies were screened for relevance at each stage and then coded for key characteristics and appraised for quality by both authors working independently. RESULTS Grade-level readability scores as measured by the Flesch-Kincaid, SMOG, and other indices ranged from 6th to 17th grade. Most Flesch Reading Ease scores fell within the 30-50 range. Results of accessibility measures were inconsistent. CONCLUSION With the recommended readability level for health communication set at sixth grade, most publicly available information about mental disorders uses vocabulary and sentence structure that is too complex for the general public. Mixed evidence indicated that accessibility issues are also problematic. PRACTICE IMPLICATIONS Developers of health information need to decrease health literacy demand in written mental health information to ensure patients and their families may benefit from this information.
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Affiliation(s)
- Laura Boutemen
- Nicholson School of Communication and Media, University of Central Florida, Orlando, FL, USA
| | - Ann Neville Miller
- Nicholson School of Communication and Media, University of Central Florida, Orlando, FL, USA.
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Schmidt M, Kircheis W, Simons A, Potthast M, Stein B. A diachronic perspective on citation latency in Wikipedia articles on CRISPR/Cas-9: an exploratory case study. Scientometrics 2023; 128:3649-3673. [PMID: 37228830 PMCID: PMC10183088 DOI: 10.1007/s11192-023-04703-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/28/2023] [Indexed: 05/27/2023]
Abstract
This paper analyzes Wikipedia's representation of the Nobel Prize winning CRISPR/Cas9 technology, a method for gene editing. We propose and evaluate different heuristics to match publications from several publication corpora against Wikipedia's central article on CRISPR and against the complete Wikipedia revision history in order to retrieve further Wikipedia articles relevant to the topic and to analyze Wikipedia's referencing patterns. We explore to what extent the selection of referenced literature of Wikipedia's central article on CRISPR adheres to scientific standards and inner-scientific perspectives by assessing its overlap with (1) the Web of Science (WoS) database, (2) a WoS-based field-delineated corpus, (3) highly-cited publications within this corpus, and (4) publications referenced by field-specific reviews. We develop a diachronic perspective on citation latency and compare the delays with which publications are cited in relevant Wikipedia articles to the citation dynamics of these publications over time. Our results confirm that a combination of verbatim searches by title, DOI, and PMID is sufficient and cannot be improved significantly by more elaborate search heuristics. We show that Wikipedia references a substantial amount of publications that are recognized by experts and highly cited, but that Wikipedia also cites less visible literature, and, to a certain degree, even not strictly scientific literature. Delays in occurrence on Wikipedia compared to the publication years show (most pronounced in case of the central CRISPR article) a dependence on the dynamics of both the field and the editor's reaction to it in terms of activity.
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Affiliation(s)
- Marion Schmidt
- German Center for Higher Education Research and Science Studies (DZHW), Berlin, Germany
| | - Wolfgang Kircheis
- Leipzig University and Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, Germany
| | - Arno Simons
- Technische Universität Berlin, German Center for Higher Education Research and Science Studies (DZHW), Berlin, Germany
| | - Martin Potthast
- Leipzig University and Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, Germany
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Ciechanowski K, Banasik-Jemielniak N, Jemielniak D. What's hot and what's not in lay psychology: Wikipedia's most-viewed articles. Curr Psychol 2022:1-13. [PMID: 36248218 PMCID: PMC9553632 DOI: 10.1007/s12144-022-03826-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2022] [Indexed: 11/25/2022]
Abstract
We studied views of articles about psychology on 10 language editions of Wikipedia from July 1, 2015, to January 6, 2021. We were most interested in what psychology topics Wikipedia users wanted to read, and how the frequency of views changed during the COVID-19 pandemic and lockdowns. Our results show that the topics of interest to people seeking psychological knowledge changed during the pandemic. In addition, the interests differ noticeably among the languages. We made two important observations. The first was that during the pandemic, people in most countries looked for new ways to manage their stress without resorting to external help. This is understandable, given the increased stress of lockdown and the limited amount of professional help available. We also found that academic topics, typically covered in university classes, experienced a substantial drop in traffic, which could be indicative of issues with remote teaching. Supplementary Information The online version contains supplementary material available at 10.1007/s12144-022-03826-0.
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Affiliation(s)
- Kaśmir Ciechanowski
- MINDS (Management in Networked and Digital Societies) Department, Kozminski University, Warsaw, Poland
| | | | - Dariusz Jemielniak
- MINDS (Management in Networked and Digital Societies) Department, Kozminski University, Warsaw, Poland
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Tehrani H, Vali M, Nejatian M, Moshki M, Charoghchian Khorasani E, Jafari A. The status of depression literacy and its relationship with quality of life among Iranian public population: a cross sectional study. BMC Psychiatry 2022; 22:607. [PMID: 36100889 PMCID: PMC9472397 DOI: 10.1186/s12888-022-04251-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 09/08/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND This study was designed and conducted to determine the status of depression literacy (D-Lit) and its relationship with the quality of life across the Iranian population. METHODS This cross-sectional study was conducted in 2020 among 1382 participating from the general population in Gonabad, Iran. Participants were selected and recruited using a multistage sampling method. Data were collected using three sets of questionnaires (demographic section, D-Lit scale, and quality of life questionnaire). Data were analyzed by SPSS software version 24 and using independent samples t- test, Chi-square test, One-way ANOVA, and Pearson correlation. RESULTS Based on the results, the mean (± standard deviation) of D-Lit and quality of life were 44.14 (± 4.69) and 35.81 (± 5.17), respectively. Based on the results of Pearson correlation coefficient, there was a significant positive correlation between D-Lit and quality of life (r = 0.104, p < 0.001). D-Lit was significantly higher in those who reported having consulted with a psychiatrist compared with those who did not (p < 0.001). Participants with a family history of mental illness and those whose family members were referred to a psychologist for psychological issues had significantly higher levels of D-Lit than others (p < 0.001). CONCLUSION Based on the results of this study, some D-Lit projects should be improved. Also, the results revealed that D-Lit is a potential factor that can affect people's mental health status and enhance their quality of life. Therefore, it is necessary to develop appropriate educational programs to enhance D-Lit in the community and ultimately improve the quality of life in the community by reducing mental illness.
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Affiliation(s)
- Hadi Tehrani
- grid.411583.a0000 0001 2198 6209Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran ,grid.411583.a0000 0001 2198 6209Department of Health Education and Health Promotion, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohebat Vali
- grid.412571.40000 0000 8819 4698Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mahbobeh Nejatian
- grid.411924.b0000 0004 0611 9205Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Mahdi Moshki
- grid.411924.b0000 0004 0611 9205Department of Health Education and Health Promotion, School of Health, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Elham Charoghchian Khorasani
- grid.411583.a0000 0001 2198 6209Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran ,grid.411583.a0000 0001 2198 6209Department of Health Education and Health Promotion, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Alireza Jafari
- Department of Health Education and Health Promotion, School of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
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Bakchi B, Krishna AD, Sreecharan E, Ganesh VBJ, Niharika M, Maharshi S, Puttagunta SB, Sigalapalli DK, Bhandare RR, Shaik AB. An overview on applications of SwissADME web tool in the design and development of anticancer, antitubercular and antimicrobial agents: A medicinal chemist's perspective. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.132712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Pryor TAM, Reynolds KA, Kirby PL, Bernstein MT. An examination of the quality of late-life depression websites on the Internet (Preprint). JMIR Form Res 2022; 6:e36177. [PMID: 36094802 PMCID: PMC9513688 DOI: 10.2196/36177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/12/2022] [Accepted: 05/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background The internet can increase the accessibility of mental health information and improve the mental health literacy of older adults. The quality of mental health information on the internet can be inaccurate or biased, leading to misinformation. Objective This study aims to evaluate the quality, usability, and readability of websites providing information concerning depression in later life. Methods Websites were identified through a Google search and evaluated by assessing quality (DISCERN), usability (Patient Education Materials Assessment Tool), and readability (Simple Measure of Gobbledygook). Results The overall quality of late-life depression websites (N=19) was adequate, and the usability and readability were poor. No significant relationship was found between the quality and readability of the websites. Conclusions The websites can be improved by enhancing information quality, usability, and readability related to late-life depression. The use of high-quality websites may improve mental health literacy and shared treatment decision-making for older adults.
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Affiliation(s)
- Teaghan A M Pryor
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Kristin A Reynolds
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
- Department of Psychiatry, University of Manitoba, Winnipeg, MB, Canada
| | - Paige L Kirby
- Department of Psychology, University of Manitoba, Winnipeg, MB, Canada
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7
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Abstract
Crowdsourcing websites such as Wikipedia have become go-to places for health information. To what extent do we trust such health content that is generated by other Internet users? Will it make a difference if such entries are curated by medical professionals? Does the affordance of crowdsourcing make users feel like they themselves could be contributors, and does that influence their credibility judgments? We explored these questions with a 2 (Crowdsourcing: absence vs. presence) × 2 (Professional source: absence vs. presence) × 2 (Message: sunscreen vs. milk) between-subjects experiment (N = 189). Two indirect paths for crowdsourcing effects were found. The crowd-as-source path suggests that crowdsourcing negatively affects content credibility through decreased source trustworthiness and information completeness. In contrast, the self-as-source path indicates that crowdsourcing elevates source trustworthiness via heightened interactivity and sense of control. Although the additional professional source raises perceived gatekeeping on the site, it does not have substantial influence on credibility judgments. Theoretical and practical implications of the findings are discussed.
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Affiliation(s)
- Yan Huang
- Jack J. Valenti School of Communication, University of Houston
| | - S Shyam Sundar
- James P. Jimirro Professor of Media Effects, & Co-Director, Media Effects Research Laboratory, Donald P. Bellisario College of Communications, Penn State University, USA
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Jafari A, Nejatian M, Momeniyan V, Barsalani FR, Tehrani H. Mental health literacy and quality of life in Iran: a cross-sectional study. BMC Psychiatry 2021; 21:499. [PMID: 34641793 PMCID: PMC8507341 DOI: 10.1186/s12888-021-03507-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 09/29/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Mental health is one of the effective factors in the quality of life of people. The aim of the present study was to determine the status of mental health literacy (MHL) and its relationship with the quality of life across the Iranian general population. METHODS In this cross-sectional study, a multi-stage sampling method was used to survey 1070 participants from the city of Gonabad (Iran). The data collection tools were demographics section, mental health literacy scale (MHLS), and quality of life (SF-12) questionnaires. The data was analyzed by SPSS software version 24 using Independent sample t- test, One- way ANOVA, Pearson correlation, and logistic regression. RESULTS The mean and standard deviation of the total scores of MHL and quality of life were 113.54 (10.34) and 35.26 (6.42), respectively. The results revealed that there was a significant positive correlation between MHL and the quality of life (p < 0.001). In this study, there was a significant relationship between variables of sex, level of education, plus received information about mental illness and MHL (p < 0.001). The quality of life was higher in participants whose family members did not have a mental illness, had a high-income level, and received information about mental illness (p < 0.001). Logistic regression indicated that there was a significant relationship between the ability to recognize mental disorders plus knowledge of where to seek information and obtaining information related to mental health (p < 0.001). CONCLUSION Based on the results of this study, there was a correlation between health literacy and quality of life, and more attention should be paid to MHL. Thus, appropriate programs should be designed and implemented to enhance the level of MHL.
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Affiliation(s)
- Alireza Jafari
- grid.411924.b0000 0004 0611 9205Department of Health Education and Health Promotion, School of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Mahbobeh Nejatian
- grid.411924.b0000 0004 0611 9205Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Vahideh Momeniyan
- grid.411301.60000 0001 0666 1211Department of Psychology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Fatemeh Ramezani Barsalani
- grid.411583.a0000 0001 2198 6209Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hadi Tehrani
- Department of Health Education and Health Promotion, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Ramsey J, McIntosh B, Renfro D, Aleksander SA, LaBonte S, Ross C, Zweifel AE, Liles N, Farrar S, Gill JJ, Erill I, Ades S, Berardini TZ, Bennett JA, Brady S, Britton R, Carbon S, Caruso SM, Clements D, Dalia R, Defelice M, Doyle EL, Friedberg I, Gurney SMR, Hughes L, Johnson A, Kowalski JM, Li D, Lovering RC, Mans TL, McCarthy F, Moore SD, Murphy R, Paustian TD, Perdue S, Peterson CN, Prüß BM, Saha MS, Sheehy RR, Tansey JT, Temple L, Thorman AW, Trevino S, Vollmer AC, Walbot V, Willey J, Siegele DA, Hu JC. Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO). PLoS Comput Biol 2021; 17:e1009463. [PMID: 34710081 PMCID: PMC8553046 DOI: 10.1371/journal.pcbi.1009463] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an important resource for studying gene function, especially within model organisms. Unprecedented expansion of the scientific literature and validation of the predicted proteins have increased both data value and the challenges of keeping pace. Capturing literature-based functional annotations is limited by the ability of biocurators to handle the massive and rapidly growing scientific literature. Within the community-oriented wiki framework for GO annotation called the Gene Ontology Normal Usage Tracking System (GONUTS), we describe an approach to expand biocuration through crowdsourcing with undergraduates. This multiplies the number of high-quality annotations in international databases, enriches our coverage of the literature on normal gene function, and pushes the field in new directions. From an intercollegiate competition judged by experienced biocurators, Community Assessment of Community Annotation with Ontologies (CACAO), we have contributed nearly 5,000 literature-based annotations. Many of those annotations are to organisms not currently well-represented within GO. Over a 10-year history, our community contributors have spurred changes to the ontology not traditionally covered by professional biocurators. The CACAO principle of relying on community members to participate in and shape the future of biocuration in GO is a powerful and scalable model used to promote the scientific enterprise. It also provides undergraduate students with a unique and enriching introduction to critical reading of primary literature and acquisition of marketable skills.
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Affiliation(s)
- Jolene Ramsey
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
- Center for Phage Technology, Texas A&M University, College Station, Texas, United States of America
| | - Brenley McIntosh
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
| | - Daniel Renfro
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
| | - Suzanne A. Aleksander
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
| | - Sandra LaBonte
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
| | - Curtis Ross
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
- Center for Phage Technology, Texas A&M University, College Station, Texas, United States of America
| | - Adrienne E. Zweifel
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
| | - Nathan Liles
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
| | - Shabnam Farrar
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
| | - Jason J. Gill
- Center for Phage Technology, Texas A&M University, College Station, Texas, United States of America
- Department of Animal Science, Texas A&M University, College Station, Texas, United States of America
| | - Ivan Erill
- Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, Maryland, United States of America
- Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, Maryland, United States of America
| | - Sarah Ades
- Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Tanya Z. Berardini
- The Arabidopsis Information Resource, Phoenix Bioinformatics, Newark, California, United States of America
| | - Jennifer A. Bennett
- Department of Biology and Earth Science, Otterbein University, Westerville, Ohio, United States of America
| | - Siobhan Brady
- Department of Plant Biology and Genome Center, University of California Davis, Davis, California, United States of America
| | - Robert Britton
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America
| | - Seth Carbon
- Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Steven M. Caruso
- Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, Maryland, United States of America
| | - Dave Clements
- Department of Biology, John Hopkins University, Baltimore, Maryland, United States of America
| | - Ritu Dalia
- Department of Biology, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - Meredith Defelice
- Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Erin L. Doyle
- Biology Department, Doane University, Crete, Nebraska, United States of America
| | - Iddo Friedberg
- Department of Microbiology, Miami University, Oxford, Ohio, United States of America
| | - Susan M. R. Gurney
- Department of Biology, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - Lee Hughes
- Department of Biological Sciences, University of North Texas, Denton, Texas, United States of America
| | - Allison Johnson
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Jason M. Kowalski
- Biological Sciences Department, University of Wisconsin-Parkside, Kenosha, Wisconsin, United States of America
| | - Donghui Li
- The Arabidopsis Information Resource, Phoenix Bioinformatics, Newark, California, United States of America
| | - Ruth C. Lovering
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Tamara L. Mans
- Department of Biochemistry and Biotechnology, Minnesota State University Moorhead, Brooklyn Park, Minnesota, United States of America
| | - Fiona McCarthy
- Department of Basic Science, College of Veterinary Medicine, Mississippi State University, Starkville, Mississippi, United States of America
| | - Sean D. Moore
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, Florida, United States of America
| | - Rebecca Murphy
- Department of Biology, Centenary College of Louisiana, Shreveport, Louisiana, United States of America
| | - Timothy D. Paustian
- Department of Bacteriology, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Sarah Perdue
- Biological Sciences Department, University of Wisconsin-Parkside, Kenosha, Wisconsin, United States of America
| | - Celeste N. Peterson
- Biology Department, Suffolk University, Boston, Massachusetts, United States of America
| | - Birgit M. Prüß
- Microbiological Sciences Department, North Dakota State University, Fargo, North Dakota, United States of America
| | - Margaret S. Saha
- Department of Biology, College of William & Mary, Williamsburg, Virginia, United States of America
| | - Robert R. Sheehy
- Biology Department, Radford University, Radford, Virginia, United States of America
| | - John T. Tansey
- Department of Biochemistry and Molecular Biology, Otterbein University, Westerville, Ohio, United States of America
| | - Louise Temple
- School of Integrated Sciences, James Madison University, Harrisonburg, Virginia, United States of America
| | - Alexander William Thorman
- Department of Environmental and Public Health Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Saul Trevino
- Department of Chemistry, Math, and Physics, Houston Baptist University, Houston, Texas, United States of America
| | - Amy Cheng Vollmer
- Department of Biology, Swarthmore College, Swarthmore, Pennsylvania, United States of America
| | - Virginia Walbot
- Department of Biology, Stanford University, Stanford, California, United States of America
| | - Joanne Willey
- Department of Science Education, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, United States of America
| | - Deborah A. Siegele
- Department of Biology, Texas A&M University, College Station, Texas, United States of America
| | - James C. Hu
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, United States of America
- Center for Phage Technology, Texas A&M University, College Station, Texas, United States of America
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Deng L, Chen L, Yang T, Liu M, Li S, Jiang T. Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study. J Med Internet Res 2021; 23:e26892. [PMID: 34128811 PMCID: PMC8277235 DOI: 10.2196/26892] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 04/01/2021] [Accepted: 05/06/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Phenotypes characterize the clinical manifestations of diseases and provide important information for diagnosis. Therefore, the construction of phenotype knowledge graphs for diseases is valuable to the development of artificial intelligence in medicine. However, phenotype knowledge graphs in current knowledge bases such as WikiData and DBpedia are coarse-grained knowledge graphs because they only consider the core concepts of phenotypes while neglecting the details (attributes) associated with these phenotypes. OBJECTIVE To characterize the details of disease phenotypes for clinical guidelines, we proposed a fine-grained semantic information model named PhenoSSU (semantic structured unit of phenotypes). METHODS PhenoSSU is an "entity-attribute-value" model by its very nature, and it aims to capture the full semantic information underlying phenotype descriptions with a series of attributes and values. A total of 193 clinical guidelines for infectious diseases from Wikipedia were selected as the study corpus, and 12 attributes from SNOMED-CT were introduced into the PhenoSSU model based on the co-occurrences of phenotype concepts and attribute values. The expressive power of the PhenoSSU model was evaluated by analyzing whether PhenoSSU instances could capture the full semantics underlying the descriptions of the corresponding phenotypes. To automatically construct fine-grained phenotype knowledge graphs, a hybrid strategy that first recognized phenotype concepts with the MetaMap tool and then predicted the attribute values of phenotypes with machine learning classifiers was developed. RESULTS Fine-grained phenotype knowledge graphs of 193 infectious diseases were manually constructed with the BRAT annotation tool. A total of 4020 PhenoSSU instances were annotated in these knowledge graphs, and 3757 of them (89.5%) were found to be able to capture the full semantics underlying the descriptions of the corresponding phenotypes listed in clinical guidelines. By comparison, other information models, such as the clinical element model and the HL7 fast health care interoperability resource model, could only capture the full semantics underlying 48.4% (2034/4020) and 21.8% (914/4020) of the descriptions of phenotypes listed in clinical guidelines, respectively. The hybrid strategy achieved an F1-score of 0.732 for the subtask of phenotype concept recognition and an average weighted accuracy of 0.776 for the subtask of attribute value prediction. CONCLUSIONS PhenoSSU is an effective information model for the precise representation of phenotype knowledge for clinical guidelines, and machine learning can be used to improve the efficiency of constructing PhenoSSU-based knowledge graphs. Our work will potentially shift the focus of medical knowledge engineering from a coarse-grained level to a more fine-grained level.
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Affiliation(s)
- Lizong Deng
- Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Suzhou Institute of Systems Medicine, Suzhou, China
| | - Luming Chen
- Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Suzhou Institute of Systems Medicine, Suzhou, China
| | - Tao Yang
- Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Suzhou Institute of Systems Medicine, Suzhou, China
| | - Mi Liu
- Jiangsu Institute of Clinical Immunology, Jiangsu Key Laboratory of Clinical Immunology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shicheng Li
- Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Suzhou Institute of Systems Medicine, Suzhou, China
| | - Taijiao Jiang
- Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Suzhou Institute of Systems Medicine, Suzhou, China
- Guangzhou Laboratory, Guangzhou, China
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11
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Zimmerman MS. Health information-seeking behavior in the time of COVID-19: information horizons methodology to decipher source path during a global pandemic. JD 2021; 77:1248-64. [DOI: 10.1108/jd-01-2021-0022] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeTo determine the differences, as represented by information horizons mapping, in the health information-seeking behavior from a group of participants between March 2019 and April 2020 of the novel coronavirus pandemic.Design/methodology/approachIn March 2019, the author conducted a study on health information-seeking behavior in which 149 participants drew information horizons maps in a health-related context. They also took health and information literacy assessments. This exact study was replicated using the same population in April 2020 to determine the differences in what the participants drew on their maps and how these changes interacted with their health and information literacy, their age and their education.FindingsThere is a statistically significant difference in the increased number of sources and the ranked quality of the sources that people used during the pandemic. Participants were much more likely to use credible sources and news sources, especially if they were older, more educated and had higher literacy levels – both health and information. They also relied heavily on social media. The participant group in the pandemic had a much heavier reliance on sources that are often used in a passive encountering way but engaging with them in an active information-seeking manner. The health information-seeking behavior in this study did not adhere to other research that found issue with information overload, avoidance and cyberchondria in response to crisis situations.Originality/valueThis article utilizes information horizons methodology to explore pre- and post-pandemic information-seeking. It is completely unique in this approach.
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12
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Chrzanowski J, Sołek J, Fendler W, Jemielniak D. Assessing Public Interest Based on Wikipedia's Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends Analysis. J Med Internet Res 2021; 23:e26331. [PMID: 33667176 PMCID: PMC8049630 DOI: 10.2196/26331] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/21/2021] [Accepted: 02/18/2021] [Indexed: 12/14/2022] Open
Abstract
Background In the current era of widespread access to the internet, we can monitor public interest in a topic via information-targeted web browsing. We sought to provide direct proof of the global population’s altered use of Wikipedia medical knowledge resulting from the new COVID-19 pandemic and related global restrictions. Objective We aimed to identify temporal search trends and quantify changes in access to Wikipedia Medicine Project articles that were related to the COVID-19 pandemic. Methods We performed a retrospective analysis of medical articles across nine language versions of Wikipedia and country-specific statistics for registered COVID-19 deaths. The observed patterns were compared to a forecast model of Wikipedia use, which was trained on data from 2015 to 2019. The model comprehensively analyzed specific articles and similarities between access count data from before (ie, several years prior) and during the COVID-19 pandemic. Wikipedia articles that were linked to those directly associated with the pandemic were evaluated in terms of degrees of separation and analyzed to identify similarities in access counts. We assessed the correlation between article access counts and the number of diagnosed COVID-19 cases and deaths to identify factors that drove interest in these articles and shifts in public interest during the subsequent phases of the pandemic. Results We observed a significant (P<.001) increase in the number of entries on Wikipedia medical articles during the pandemic period. The increased interest in COVID-19–related articles temporally correlated with the number of global COVID-19 deaths and consistently correlated with the number of region-specific COVID-19 deaths. Articles with low degrees of separation were significantly similar (P<.001) in terms of access patterns that were indicative of information-seeking patterns. Conclusions The analysis of Wikipedia medical article popularity could be a viable method for epidemiologic surveillance, as it provides important information about the reasons behind public attention and factors that sustain public interest in the long term. Moreover, Wikipedia users can potentially be directed to credible and valuable information sources that are linked with the most prominent articles.
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Affiliation(s)
- Jędrzej Chrzanowski
- Department of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland
| | - Julia Sołek
- Department of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland.,Department of Pathology, Medical University of Łódź, Łódź, Poland
| | - Wojciech Fendler
- Department of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland
| | - Dariusz Jemielniak
- Management in Networked and Digital Societies, Kozminski University, Warszawa, Poland
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Raj L, Smith D, Heilman J. Does the packaging of health information affect the assessment of its reliability? A randomized controlled trial protocol. Wiki J Med 2021. [DOI: 10.15347/wjm/2021.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background Wikipedia is frequently used as a source of health information. However, the quality of its content varies widely across articles. The DISCERN tool is a brief questionnaire developed in 1996 by the Division of Public Health and Primary Health Care of the Institute of Health Sciences of the University of Oxford. They claim it provides users with a valid and reliable way of assessing the quality of written information. However, the DISCERN instrument’s reliability in measuring the quality of online health information, particularly whether or not its scores are affected by reader biases about specific publication sources, has not yet been explored. Methods This study is a double-blind randomized assessment of a Wikipedia article versus a BMJ literature review using a modified version of the DISCERN tool. Participants will include physicians and medical residents from four university campuses in Ontario and British Columbia and will be randomized into one of four study arms. Inferential statistics tests (paired t-test, multi-level ordinal regression, and one-way ANOVA) will be conducted with the data collected from the study. Outcomes The primary outcome of this study will be to determine whether a statistically significant difference in DISCERN scores exists, which could suggest whether or not how health information is packaged influences how it is assessed for quality. Plain Language Summary The internet, and in particular Wikipedia, is an important way for professionals, students and the public to obtain health information. For this reason, the DISCERN tool was developed in 1996 to help users assess the quality of the health information they find. The ability of DISCERN to measure the quality of online health information has been supported with research, but the role of bias has not necessarily been accounted for. Does how the information is packaged influence how the information itself is evaluated? This study will compare the scores assigned to articles in their original format to the same articles in a modified format in order to determine whether the DISCERN tool is able to overcome bias. A significant difference in ratings between original and inverted articles will suggest that the DISCERN tool lacks the ability to overcome bias related to how health information is packaged.
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Niu Z, Hu L, Jeong DC, Brickman J, Stapleton JL. An Experimental Investigation into Promoting Mental Health Service Use on Social Media: Effects of Source and Comments. Int J Environ Res Public Health 2020; 17:E7898. [PMID: 33126537 DOI: 10.3390/ijerph17217898] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 09/28/2020] [Accepted: 10/19/2020] [Indexed: 11/17/2022]
Abstract
Mental health is an increasingly prevalent topic of public interest, but remains a complex area requiring focused research that must account for negative perceptions surrounding mental health issues. The current work explores the roles of social media information source credibility and valence of social media comments on health outcomes in such a mental health context. We used a 2 (message source: professional vs. layperson) × 3 (valence of comments: positive vs. negative vs. mixed) online experiment to examine the effects of source and valence of comments on trust, attitudes and intentions related to mental health information and services among 422 undergraduate students. Results supported the hypothesized model in which source influenced cognitive trust while comments influenced affective trust. Cognitive and affective trust both impacted attitudes towards mental health information which encourages the intention to share such information on social media. Additionally, affective trust impacted attitudes towards mental services which influenced intentions to seek them out. Source and valence of comments on social media impact different behavioral intentions regarding the use of mental health services. This study provides insights for future social media campaigns promoting mental health service use.
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Yu L, Yu S. Developing an automated mechanism to identify medical articles from wikipedia for knowledge extraction. Int J Med Inform 2020; 141:104234. [PMID: 32693245 PMCID: PMC7357526 DOI: 10.1016/j.ijmedinf.2020.104234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 07/01/2020] [Accepted: 07/11/2020] [Indexed: 11/25/2022]
Abstract
Wikipedia contains rich biomedical information that can support medical informatics studies and applications. Identifying the subset of medical articles of Wikipedia has many benefits, such as facilitating medical knowledge extraction, serving as a corpus for language modeling, or simply making the size of data easy to work with. However, due to the extremely low prevalence of medical articles in the entire Wikipedia, articles identified by generic text classifiers would be bloated by irrelevant pages. To control the false discovery rate while maintaining a high recall, we developed a mechanism that leverages the rich page elements and the connected nature of Wikipedia and uses a crawling classification strategy to achieve accurate classification. Structured assertional knowledge in Infoboxes and Wikidata items associated with the identified medical articles were also extracted. This automatic mechanism is aimed to run periodically to update the results and share them with the informatics community.
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Affiliation(s)
- Lishan Yu
- Department of Mathematical Sciences, Tsinghua University, Beijing, China
| | - Sheng Yu
- Center for Statistical Science, Tsinghua University, Beijing, China; Department of Industrial Engineering, Tsinghua University, Beijing, China; Institute for Data Science, Tsinghua University, Beijing, China.
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Suwannakhan A, Casanova-Martínez D, Yurasakpong L, Montriwat P, Meemon K, Limpanuparb T. The Quality and Readability of English Wikipedia Anatomy Articles. Anat Sci Educ 2020; 13:475-487. [PMID: 31233658 DOI: 10.1002/ase.1910] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 04/14/2019] [Accepted: 06/20/2019] [Indexed: 06/09/2023]
Abstract
Forty anatomy articles were sampled from English Wikipedia and assessed quantitatively and qualitatively. Quantitatively, each article's edit history was analyzed by Wikipedia X-tools, references and media were counted manually, and two readability indices were used to evaluate article readability. This analysis revealed that each article was updated 8.3 ± 6.8 times per month, and referenced with 33.5 ± 24.3 sources, such as journal articles and textbooks. Each article contained on average 14.0 ± 7.6 media items. The readability indices including: (1) Flesch-Kincaid Grade Level Readability Test and (2) Flesch Reading Ease Readability Formula demonstrated that the articles had low readability and were more appropriate for college students and above. Qualitatively, the sampled articles were evaluated by experts using a modified DISCERN survey. According to the modified DISCERN, 13 articles (32.5%), 24 articles (60%), 3 articles (7.5%), were rated as "good," "moderate," and "poor," respectively. There were positive correlations between the DISCERN score and the number of edits (r = 0.537), number of editors (r = 0.560), and article length (r = 0.536). Strengths reported by the panel included completeness and coverage in 11 articles (27.5%), anatomical details in 10 articles (25%), and clinical details in 5 articles (12.5%). The panel also noted areas which could be improved, such as providing missing information in 28 articles (70%), inaccuracies in 10 articles (25%), and lack or poor use of images in 17 articles (42.5%). In conclusion, this study revealed that many Wikipedia anatomy articles were difficult to read. Each article's quality was dependent on edit frequency and article length. Learners and students should be cautious when using Wikipedia articles for anatomy education due to these limitations.
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Affiliation(s)
- Athikhun Suwannakhan
- Department of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Daniel Casanova-Martínez
- Morphology Unit, Faculty of Medicine, School of Medicine, University of Valparaíso, San Felipe, Chile
| | | | - Punchalee Montriwat
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Krai Meemon
- Department of Anatomy, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Taweetham Limpanuparb
- Science Division, Mahidol University International College, Mahidol University, Nakhon Pathom, Thailand
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17
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Devendorf A, Bender A, Rottenberg J. Depression presentations, stigma, and mental health literacy: A critical review and YouTube content analysis. Clin Psychol Rev 2020; 78:101843. [DOI: 10.1016/j.cpr.2020.101843] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 02/21/2020] [Accepted: 03/03/2020] [Indexed: 12/24/2022]
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18
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Adams CE, Montgomery AA, Aburrow T, Bloomfield S, Briley PM, Carew E, Chatterjee-Woolman S, Feddah G, Friedel J, Gibbard J, Haynes E, Hussein M, Jayaram M, Naylor S, Perry L, Schmidt L, Siddique U, Tabaksert AS, Taylor D, Velani A, White D, Xia J. Adding evidence of the effects of treatments into relevant Wikipedia pages: a randomised trial. BMJ Open 2020; 10:e033655. [PMID: 32086355 PMCID: PMC7045027 DOI: 10.1136/bmjopen-2019-033655] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES To investigate the effects of adding high-grade quantitative evidence of outcomes of treatments into relevant Wikipedia pages on further information-seeking behaviour by the use of routinely collected data. SETTING Wikipedia, Cochrane summary pages and the Cochrane Library. DESIGN Randomised trial. PARTICIPANTS Wikipedia pages which were highly relevant to up-to-date Cochrane Schizophrenia systematic reviews that contained a Summary of Findings table. INTERVENTIONS Eligible Wikipedia pages in the intervention group were seeded with tables of best evidence of the effects of care and hyperlinks to the source Cochrane review. Eligible Wikipedia pages in the control group were left unchanged. MAIN OUTCOME MEASURES Routinely collected data on access to the full text and summary web page (after 12 months). RESULTS We randomised 70 Wikipedia pages (100% follow-up). Six of the 35 Wikipedia pages in the intervention group had the tabular format deleted during the study but all pages continued to report the same data within the text. There was no evidence of effect on either of the coprimary outcomes: full-text access adjusted ratio of geometric means 1.30, 95% CI: 0.71 to 2.38; page views 1.14, 95% CI: 0.6 to 2.13. Results were similar for all other outcomes, with exception of Altmetric score for which there was some evidence of clear effect (1.36, 95% CI: 1.05 to 1.78). CONCLUSIONS The pursuit of fair balance within Wikipedia healthcare pages is impressive and its reach unsurpassed. For every person who sought and clicked the reference on the 'intervention' Wikipedia page to seek more information (the primary outcome), many more are likely to have been informed by the page alone. Enriching Wikipedia content is, potentially, a powerful way to improve health literacy and it is possible to test the effects of seeding pages with evidence. This trial should be replicated, expanded and developed. TRIAL REGISTRATION NUMBER IRCT2017070330407N2.
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Affiliation(s)
- Clive E Adams
- Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK
| | - Alan A Montgomery
- Nottingham Clinical Trials Unit, University of Nottingham, Nottingham, UK
| | - Tony Aburrow
- Health Sciences, Research, John Wiley Ltd, Chichester, UK
| | - Sophie Bloomfield
- Department of Critical Care, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent, UK
| | - Paul M Briley
- Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK
| | - Ebun Carew
- General Medicine, Nottingham University Hospitals Healthcare NHS Trust, Nottingham, Nottinghamshire, UK
| | | | - Ghalia Feddah
- Emergency Department, Gold Coast University Hospitals, Gold Coast, Queensland, Australia
| | - Johannes Friedel
- Faculty Management and Business Science, University of Aalen, Aalen, Germany
| | - Josh Gibbard
- The Acute Stroke Unit - Huggett Suite, Royal Lancaster Infirmary, Lancaster, UK
| | - Euan Haynes
- Haematology, Gateshead Health NHS Foundation Trust, Gateshead, Gateshead, UK
| | - Mohsin Hussein
- Department of Radiology, University Hospitals of Leicester NHS Trust, Leicester, Leicester, UK
| | - Mahesh Jayaram
- Psychaitry, University of Melbourne, Melbourne, Victoria, Australia
| | - Samuel Naylor
- Emergency Department, Gold Coast University Hospitals, Gold Coast, Queensland, Australia
| | - Luke Perry
- Department of Anaesthesia, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Lena Schmidt
- Bristol Medical School, University of Bristol Faculty of Health Sciences, Bristol, Bristol, UK
- Fakultät Gesundheit, Sicherheit und Gesellschaft, Hochschule Furtwangen University, Furtwangen, Germany
| | - Umer Siddique
- Community Recovery Psychiatry, North East London NHS Foundation Trust, London, UK
| | - Ayla Serena Tabaksert
- Liaison Psychiatry, Northumbria Healthcare NHS Foundation Trust, North Shields, Tyne and Wear, UK
| | | | - Aarti Velani
- Acute Medicine, Lewisham and Greenwich NHS Trust, London, UK
| | - Douglas White
- Accident and Emergency, Epsom and Saint Helier University Hospitals NHS Trust Epsom Hospital, Epsom, Surrey, UK
| | - Jun Xia
- Nottingham Ningbo GRADE Centre, Nottingham China Health Institute, The University of Nottingham Ningbo, Ningbo, China
- Division of Epidemiology and Public Health, School of Medicine, The University of Nottingham, Nottingham, UK
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19
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Abstract
BACKGROUND Wikipedia's health content is the most frequently visited resource for health information on the internet. While the literature provides strong evidence for its high usage, a comprehensive literature review of Wikipedia's role within the health context has not yet been reported. OBJECTIVE To conduct a comprehensive review of peer-reviewed, published literature to learn what the existing body of literature says about Wikipedia as a health information resource and what publication trends exist, if any. METHODS A comprehensive literature search in OVID Medline, OVID Embase, CINAHL, LISTA, Wilson's Web, AMED, and Web of Science was performed. Through a two-stage screening process, records were excluded if: Wikipedia was not a major or exclusive focus of the article; Wikipedia was not discussed within the context of a health or medical topic; the article was not available in English, the article was irretrievable, or; the article was a letter, commentary, editorial, or popular media article. RESULTS 89 articles and conference proceedings were selected for inclusion in the review. Four categories of literature emerged: 1) studies that situate Wikipedia as a health information resource; 2) investigations into the quality of Wikipedia, 3) explorations of the utility of Wikipedia in education, and 4) studies that demonstrate the utility of Wikipedia in research. CONCLUSION The literature positions Wikipedia as a prominent health information resource in various contexts for the public, patients, students, and practitioners seeking health information online. Wikipedia's health content is accessed frequently, and its pages regularly rank highly in Google search results. While Wikipedia itself is well into its second decade, the academic discourse around Wikipedia within the context of health is still young and the academic literature is limited when attempts are made to understand Wikipedia as a health information resource. Possibilities for future research will be discussed.
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Affiliation(s)
- Denise A. Smith
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
- Faculty of Information & Media Studies, Western University, London, Ontario, Canada
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20
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Ameri F, Keeling K, Salehnejad R. You Get What You Pay for on Health Care Question and Answer Platforms: Nonparticipant Observational Study. J Med Internet Res 2020; 22:e13534. [PMID: 31939741 PMCID: PMC6996747 DOI: 10.2196/13534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 06/26/2019] [Accepted: 08/02/2019] [Indexed: 11/21/2022] Open
Abstract
Background Seeking health information on the internet is very popular despite the debatable ability of lay users to evaluate the quality of health information and uneven quality of information available on the Web. Consulting the internet for health information is pervasive, particularly when other sources are inaccessible because of time, distance, and money constraints or when sensitive or embarrassing questions are to be explored. Question and answer (Q&A) platforms are Web-based services that provide personalized health advice upon the information seekers’ request. However, it is not clear how the quality of health advices is ensured on these platforms. Objective The objective of this study was to identify how platform design impacts the quality of Web-based health advices and equal access to health information on the internet. Methods A total of 900 Q&As were collected from 9 Q&A platforms with different design features. Data on the design features for each platform were generated. Paid physicians evaluated the data to quantify the quality of health advices. Guided by the literature, the design features that affected information quality were identified and recorded for each Q&A platform. The least absolute shrinkage and selection operator and unbiased regression tree methods were used for the analysis. Results Q&A platform design and health advice quality were related. Expertise of information providers (beta=.48; P=.001), financial incentive (beta=.4; P=.001), external reputation (beta=.28; P=.002), and question quality (beta=.12; P=.001) best predicted health advice quality. Virtual incentive, Web 2.0 mechanisms, and reputation systems were not associated with health advice quality. Conclusions Access to high-quality health advices on the internet is unequal and skewed toward high-income and high-literacy groups. However, there are possibilities to generate high-quality health advices for free.
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Affiliation(s)
- Fatemeh Ameri
- Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom
| | - Kathleen Keeling
- Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom
| | - Reza Salehnejad
- Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom
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21
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Abstract
Wikipedia is important in higher education because students and scholars often use it. Nevertheless, the issue of Wikipedia’s quality is an obstacle for its use at the higher education level. In order to contribute to this discussion, we have proposed ‘Verifiability by respected sources’ as an indicator for assessing the quality of Wikipedia articles at the higher education level and conducted an analysis of the most frequently visited articles in the category of Environment on Wikipedia. Results show that these articles contain many unreferenced statements, so their usage at the higher education level is problematic. Therefore, we also propose specific steps for relevant actors that could help to improve the quality of Wikipedia.
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Abstract
Purpose
Information literacy and health literacy skills are positively correlated with indicators of quality of life. Assessing these literacies, however, can be daunting – particularly with people that may not respond well to prose-based tools. The purpose of this paper is to use information horizons methodology as a metric that may be reflective of literacies.
Design/methodology/approach
Following a power analysis to insure statistical significance, a sample of 161 participants was recruited from a university population and given formal, vetted measures of information literacy and health literacy and then was asked to create an information horizons map within a health-related context. The information horizons maps were evaluated in two different ways. First, the number of sources was counted. Then, the quality of sources was factored in. Multiple regression analysis was applied to both metrics as independent variables with the other assessments as dependent variables. Anker, Reinhart, and Feeley’s model provided the conceptual framework for the study.
Findings
Information horizons mapping was not found to have a significant relationship with measures of information literacy. However, there were strong, statistically significant relationships with the measures of health literacy employed in this study.
Originality/value
Employing information horizons methodology as a means of providing a metric to assess literacies may be helpful in providing a more complete picture of a person’s abilities. While the current assessment tools have value, this method has the potential to provide important information about the health literacy of people who are not traditionally well represented by prose-based measures.
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London DA, Andelman SM, Christiano AV, Kim JH, Hausman MR, Kim JM. Is Wikipedia a complete and accurate source for musculoskeletal anatomy? Surg Radiol Anat 2019; 41:1187-92. [DOI: 10.1007/s00276-019-02280-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 06/26/2019] [Indexed: 10/26/2022]
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Affiliation(s)
- Andrea Simpson
- School of Allied Health, La Trobe University, Melbourne, Australia
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Jemielniak D, Masukume G, Wilamowski M. The Most Influential Medical Journals According to Wikipedia: Quantitative Analysis. J Med Internet Res 2019; 21:e11429. [PMID: 30664451 PMCID: PMC6356187 DOI: 10.2196/11429] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 08/03/2018] [Accepted: 08/22/2018] [Indexed: 12/03/2022] Open
Abstract
Background Wikipedia, the multilingual encyclopedia, was founded in 2001 and is the world’s largest and most visited online general reference website. It is widely used by health care professionals and students. The inclusion of journal articles in Wikipedia is of scholarly interest, but the time taken for a journal article to be included in Wikipedia, from the moment of its publication to its incorporation into Wikipedia, is unclear. Objective We aimed to determine the ranking of the most cited journals by their representation in the English-language medical pages of Wikipedia. In addition, we evaluated the number of days between publication of journal articles and their citation in Wikipedia medical pages, treating this measure as a proxy for the information-diffusion rate. Methods We retrieved the dates when articles were included in Wikipedia and the date of journal publication from Crossref by using an application programming interface. Results From 11,325 Wikipedia medical articles, we identified citations to 137,889 journal articles from over 15,000 journals. There was a large spike in the number of journal articles published in or after 2002 that were cited by Wikipedia. The higher the importance of a Wikipedia article, the higher was the mean number of journal citations it contained (top article, 48.13 [SD 33.67]; lowest article, 6.44 [SD 9.33]). However, the importance of the Wikipedia article did not affect the speed of reference addition. The Cochrane Database of Systematic Reviews was the most cited journal by Wikipedia, followed by The New England Journal of Medicine and The Lancet. The multidisciplinary journals Nature, Science, and the Proceedings of the National Academy of Sciences were among the top 10 journals with the highest Wikipedia medical article citations. For the top biomedical journal papers cited in Wikipedia's medical pages in 2016-2017, it took about 90 days (3 months) for the citation to be used in Wikipedia. Conclusions We found evidence of “recentism,” which refers to preferential citation of recently published journal articles in Wikipedia. Traditional high-impact medical and multidisciplinary journals were extensively cited by Wikipedia, suggesting that Wikipedia medical articles have robust underpinnings. In keeping with the Wikipedia policy of citing reviews/secondary sources in preference to primary sources, the Cochrane Database of Systematic Reviews was the most referenced journal.
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Affiliation(s)
- Dariusz Jemielniak
- Department of Management in Networked and Digital Societies, Kozminski University, Warszawa, Poland
| | - Gwinyai Masukume
- The Irish Centre for Fetal and Neonatal Translational Research, Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland
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Yamaguchi S, Ojio Y, Ando S, Bernick P, Ohta K, Watanabe KI, Thornicroft G, Shiozawa T, Koike S. Long-term effects of filmed social contact or internet-based self-study on mental health-related stigma: a 2-year follow-up of a randomised controlled trial. Soc Psychiatry Psychiatr Epidemiol 2019; 54:33-42. [PMID: 30315333 DOI: 10.1007/s00127-018-1609-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 10/08/2018] [Indexed: 12/30/2022]
Abstract
PURPOSE There is a critical need to clarify the long-term effects of anti-stigma interventions. The study aimed to assess the long-term effects of repeated filmed social contact or internet-based self-study on mental health-related stigma through a randomised controlled trial with 2-year follow-up. METHODS We randomly allocated 259 university or college students to a filmed social contact group, an internet-based self-study group, or a control group. The filmed social contact and internet-based self-study groups each received a 30-min initial intervention followed by emailed interventions every 2 months over a 12-month period. The Japanese version of the Reported and Intended Behaviour Scale (RIBS-J) and the Mental Illness and Disorder Understanding Scale (MIDUS) were used to assess behaviour, behavioural intentions (attitudes), and knowledge regarding mental health. RESULTS Of the 259 original participants, 187 completed the 24-month follow-up assessment. Mean scores for the RIBS-J future domain and MIDUS peaked at 1 month after initial intervention. Compared with baseline, at 24-month follow-up, we found a significant difference in RIBS-J future domain scores between the filmed social contact and control groups at 24-month follow-up (B = 0.95, 95% CI = 0.01,1.90, p = 0.049), while MIDUS scores in the filmed social contact group (B = - 4.59, 95%CI = - 6.85, - 2.33, p < 0.001) and the internet-based self-study group (B = - 4.51, 95%CI = - 6.86, - 2.15, p < 0.001) significantly decreased compared with the control group. CONCLUSION While outcome scores peaked at 1 month after initial intervention, results suggest that filmed social contact might have a long-term effect on behavioural intentions, and both filmed social contact and internet-based self-study may contribute to improved knowledge of mental health.
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Affiliation(s)
- Sosei Yamaguchi
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan.
| | - Yasutaka Ojio
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
| | - Shuntaro Ando
- Department of Psychiatry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Peter Bernick
- Student Accessibility Office, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki, 852-8521, Japan
| | - Kazusa Ohta
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan
| | - Kei-Ichiro Watanabe
- Office for Mental Health Support, Division for Counseling and Support, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan
| | - Graham Thornicroft
- Centre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Takuma Shiozawa
- Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan.,Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan.,UTokyo Center for Integrative Science of Human Behavior (CiSHuB), 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan
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Affiliation(s)
| | - Alan Shirley
- b Sheffield GP Specialty Training Programme , Sheffield , UK
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Hunter JA, Lee T, Persaud N. A comparison of the content and primary literature support for online medication information provided by Lexicomp and Wikipedia. J Med Libr Assoc 2018; 106:352-360. [PMID: 29962913 PMCID: PMC6013145 DOI: 10.5195/jmla.2018.256] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Accepted: 02/01/2018] [Indexed: 01/27/2023] Open
Abstract
Objectives The research compared the comprehensiveness and accuracy of two online resources that provide drug information: Lexicomp and Wikipedia. Methods Medication information on five commonly prescribed medications was identified and comparisons were made between resources and the relevant literature. An initial content comparison of the following three categories of medication information was performed: dose and instructions, uses, and adverse effects or warnings. The content comparison included sixteen points of comparison for each of the five investigated medications, totaling eighty content comparisons. For each of the medications, adverse reactions that appeared in only one of the resources were identified. When primary, peer-reviewed literature was not referenced supporting the discrepant adverse reactions, a literature search was performed to determine whether or not evidence existed to support the listed claims. Results Lexicomp consistently provided more medication information, with information provided in 95.0% (76/80) of the content, compared to Wikipedia's 42.5% (34/80). Lexicomp and Wikipedia had information present in 91.4% (32/35) and 20.0% (7/35) of dosing and instructions content, respectively. Adverse effects or warning content was provided in 97.5% (39/40) of Lexicomp content and 55.0% (22/40) of Wikipedia content. The "uses" category was present in both Lexicomp and Wikipedia for the 5 medications considered. Of adverse reactions listed solely in Lexicomp, 191/302 (63.2%) were supported by primary, peer-reviewed literature in contrast to 7/7 (100.0%) of adverse reactions listed only in Wikipedia. A review of US Food and Drug Administration Prescribing Information and the Adverse Event Reporting System dashboard found support for a respective 17/102 (16.7%) and 92/102 (90.2%) of Lexicomp's adverse reactions that were not supported in the literature. Conclusion Lexicomp is a comprehensive medication information tool that contains lists of adverse reactions that are not entirely supported by primary-peer reviewed literature.
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Affiliation(s)
- Julia Alexandra Hunter
- Faculty of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland, and Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada
| | - Taehoon Lee
- Center for Urban Health Solution, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada
| | - Navindra Persaud
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada, and Department of Family and Community Medicine, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
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Koike S, Yamaguchi S, Ojio Y, Ohta K, Shimada T, Watanabe K, Thornicroft G, Ando S. A randomised controlled trial of repeated filmed social contact on reducing mental illness-related stigma in young adults. Epidemiol Psychiatr Sci 2018; 27:199-208. [PMID: 27989255 DOI: 10.1017/S2045796016001050] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
AIMS Public stigma alters attitudes towards people with mental illness, and is a particular concern for young people since most mental health problems occur in adolescence and young adulthood. However, little is known about the long-term effects of repeated filmed social contact (FSC) on reducing mental health-related stigma among young adults in the general population, compared with self-instructional Internet search (INS) and control interventions. METHODS This study is a parallel-group randomised controlled trial over 12 months conducted in Tokyo, Japan. A total of 259 university students (male n = 150, mean age = 20.0 years, s.d. = 1.2) were recruited from 20 colleges and universities between November 2013 and July 2014, without being provided information about the mental health-related survey or trial. Participants were assigned to one of three groups before completion of the baseline survey (FSC/INS/control = 89/83/87). The FSC group received a computer-based 30-min social contact film with general mental health education and five follow-up web-based FSCs at 2-month intervals. The INS group undertook a 30-min search for mental health-related information with five follow-up web-based reminders for self-instructional searches at 2-month intervals. The control group played PC games and had no follow-up intervention. The main outcome measures were the future (intended behaviour) domain of the Reported and Intended Behaviour Scale at 12 months after the intervention. Analysis was conducted in September 2015. RESULTS At the 12-month follow-up, 218 participants completed the survey (84.1%, 75:70:73). The FSC group showed the greatest change at the 12-month follow-up (FSC: mean change 2.11 [95% CI 1.49, 2.73], INS: 1.04 [0.29, 1.80], control: 0.71 [0.09, 1.33]; FSC v. INS p = 0.037, FSC v. controls p = 0.004). No adverse events were reported during the follow-up period. CONCLUSIONS FSC was more successful in reducing stigma at 12 months after intervention than INS or control interventions. FSC could be used to reduce stigma in educational lectures and anti-stigma campaigns targeted at young people. STUDY REGISTRATION This study is registered at UMIN-CTR (No. UMIN000012239).
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Buchbinder R, Bourne A. Content analysis of consumer information about knee arthroscopy in Australia. ANZ J Surg 2018; 88:346-353. [DOI: 10.1111/ans.14412] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 01/01/2018] [Indexed: 11/28/2022]
Affiliation(s)
- Rachelle Buchbinder
- Monash Department of Clinical Epidemiology; Cabrini Institute; Melbourne Victoria Australia
- Department of Epidemiology and Preventive Medicine; School of Public Health and Preventive Medicine, Monash University; Melbourne Victoria Australia
| | - Allison Bourne
- Monash Department of Clinical Epidemiology; Cabrini Institute; Melbourne Victoria Australia
- Department of Epidemiology and Preventive Medicine; School of Public Health and Preventive Medicine, Monash University; Melbourne Victoria Australia
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Shafee T, Masukume G, Kipersztok L, Das D, Häggström M, Heilman J. Evolution of Wikipedia's medical content: past, present and future. J Epidemiol Community Health 2017; 71:1122-1129. [PMID: 28847845 PMCID: PMC5847101 DOI: 10.1136/jech-2016-208601] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 07/28/2017] [Accepted: 08/03/2017] [Indexed: 12/02/2022]
Abstract
As one of the most commonly read online sources of medical information, Wikipedia is an influential public health platform. Its medical content, community, collaborations and challenges have been evolving since its creation in 2001, and engagement by the medical community is vital for ensuring its accuracy and completeness. Both the encyclopaedia’s internal metrics as well as external assessments of its quality indicate that its articles are highly variable, but improving. Although content can be edited by anyone, medical articles are primarily written by a core group of medical professionals. Diverse collaborative ventures have enhanced medical article quality and reach, and opportunities for partnerships are more available than ever. Nevertheless, Wikipedia’s medical content and community still face significant challenges, and a socioecological model is used to structure specific recommendations. We propose that the medical community should prioritise the accuracy of biomedical information in the world’s most consulted encyclopaedia.
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Affiliation(s)
- Thomas Shafee
- Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, Melbourne, Australia
| | - Gwinyai Masukume
- Department of Obstetrics and Gynaecology, University College Cork, The Irish Centre for Fetal and Neonatal Translational Research, Cork, Ireland.,Gravida: National Centre for Growth and Development, University of Auckland, Auckland, New Zealand.,Division of Epidemiology and Biostatistics, University of the Witwatersrand, School of Public Health, Johannesburg, South Africa
| | - Lisa Kipersztok
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Diptanshu Das
- Department of Paediatric Neurology, Universita degli Studi di Roma Tor Vergata, Roma, Italy.,Department of Paediatrics, Kothari Medical Centre and Research Institute, Kolkata, India.,Department of Pediatrics, ICARE Institute of Medical Sciences and Research, Haldia, India.,Working Group, Open Access India, India
| | | | - James Heilman
- Department of Emergency Medicine, University of British Columbia, Vancouver, Canada
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Affiliation(s)
- Dariusz Jemielniak
- New Research on Digital Societies (NeRDS) group, Kozminski University, Jagiellonska, 59; 03-301 Warszawa Poland
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Scanlan F, Jorm A, Reavley N, Meyer D, Bhar S. Treatment choices for depression: Young people's response to a traditional e-health versus a Health 2.0 website. Digit Health 2017; 3:2055207617690260. [PMID: 29942581 PMCID: PMC6001220 DOI: 10.1177/2055207617690260] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2016] [Accepted: 12/16/2016] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVE This exploratory experimental study compared young people's credibility appraisals and behavioural intentions following exposure to depression treatment information on a Health 2.0 website versus a traditional website. The traditional website listed evidence-based treatment recommendations for depression as judged by field experts. The Health 2.0 website contained information about how helpful each treatment was, as aggregated from feedback from young people with lived experience of depression. METHOD Participants (n = 279) were provided with a vignette asking them to imagine that they had just received a diagnosis of depression and they had gone online to find information to guide their treatment choices. They were randomly allocated to view either the traditional or the Health 2.0 website, and were asked to rate the credibility of the depression treatment information provided. They were also asked to indicate the extent to which they would be likely to act on the advice of the website. RESULTS Participants in the traditional website condition rated their website as significantly more influential than did participants presented with the Health 2.0 website. This difference in treatment influence was fully accounted for the participants' perception of credibility of the information provided by the websites. CONCLUSION The traditional website was rated as significantly more credible and influential than the Health 2.0 website. Treatment decisions appeared to be based on the extent to which online information appears credible. In conclusion, health-related content was perceived by users as more credible when endorsed by experts than by other users, and perceived message credibility appears to be a powerful determinant of behavioural intentions within the e-health setting.
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Affiliation(s)
- Faye Scanlan
- Swinburne University of Technology, Melbourne, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Carlton, Australia
| | - Anthony Jorm
- Centre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Australia
| | - Nicola Reavley
- Centre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Australia
| | - Denny Meyer
- Swinburne University of Technology, Melbourne, Australia
| | - Sunil Bhar
- Swinburne University of Technology, Melbourne, Australia
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Aref-Adib G, O’Hanlon P, Fullarton K, Morant N, Sommerlad A, Johnson S, Osborn D. A qualitative study of online mental health information seeking behaviour by those with psychosis. BMC Psychiatry 2016; 16:232. [PMID: 27400874 PMCID: PMC4940927 DOI: 10.1186/s12888-016-0952-0] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Accepted: 06/20/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Internet and mobile technology are changing the way people learn about and manage their illnesses. Little is known about online mental health information seeking behaviour by people with psychosis. This paper explores the nature, extent and consequences of online mental health information seeking behaviour by people with psychosis and investigates the acceptability of a mobile mental health application (app). METHODS Semi-structured interviews were carried out with people with psychosis (n = 22). Participants were purposively recruited through secondary care settings in London. The main topics discussed were participants' current and historical use of online mental health information and technology. Interviews were audio-recorded, transcribed and analysed by a team of researchers using thematic analysis. RESULTS Mental health related Internet use was widespread. Eighteen people described searching the Internet to help them make sense of their psychotic experiences, and to read more information about their diagnosis, their prescribed psychiatric medication and its side-effects. Whilst some participants sought 'expert' online information from mental health clinicians and research journals, others described actively seeking first person perspectives. Eight participants used this information collaboratively with clinicians and spoke of the empowerment and independence the Internet offered them. However nine participants did not discuss their use of online mental health information with their clinicians for a number of reasons, including fear of undermining their clinician's authority. For some of these people concerns over what they had read led them to discontinue their antipsychotic medication without discussion with their mental health team. CONCLUSIONS People with psychosis use the Internet to acquire mental health related information. This can be a helpful source of supplementary information particularly for those who use it collaboratively with clinicians. When this information is not shared with their mental health team, it can affect patients' health care decisions. A partnership approach to online health-information seeking is needed, with mental health clinicians encouraging patients to discuss information they have found online as part of a shared decision-making process. Our research suggests that those with psychosis have active digital lives and that the introduction of a mental health app into services would potentially be well received.
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Affiliation(s)
- Golnar Aref-Adib
- Division of Psychiatry, University College London, 149 Tottenham Court Road, London, W1T 7NF, UK. .,Camden and Islington NHS Foundation Trust, 4th Floor, East Wing, St Pancras Hospital, 4 Saint Pancras Way, London, NW1 0PE, UK.
| | - Puffin O’Hanlon
- Division of Psychiatry, University College London, 149 Tottenham Court Road, London, W1T 7NF UK
| | - Kate Fullarton
- Division of Psychiatry, University College London, 149 Tottenham Court Road, London, W1T 7NF UK
| | - Nicola Morant
- Division of Psychiatry, University College London, 149 Tottenham Court Road, London, W1T 7NF UK
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, 149 Tottenham Court Road, London, W1T 7NF UK ,Camden and Islington NHS Foundation Trust, 4th Floor, East Wing, St Pancras Hospital, 4 Saint Pancras Way, London, NW1 0PE UK
| | - Sonia Johnson
- Division of Psychiatry, University College London, 149 Tottenham Court Road, London, W1T 7NF UK ,Camden and Islington NHS Foundation Trust, 4th Floor, East Wing, St Pancras Hospital, 4 Saint Pancras Way, London, NW1 0PE UK
| | - David Osborn
- Division of Psychiatry, University College London, 149 Tottenham Court Road, London, W1T 7NF, UK. .,Camden and Islington NHS Foundation Trust, 4th Floor, East Wing, St Pancras Hospital, 4 Saint Pancras Way, London, NW1 0PE, UK.
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Donaldson RI, Ostermayer DG, Banuelos R, Singh M. Development and usage of wiki-based software for point-of-care emergency medical information. J Am Med Inform Assoc 2016; 23:1174-1179. [DOI: 10.1093/jamia/ocw033] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 01/21/2016] [Accepted: 02/01/2016] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objective To describe the creation and evaluate the usage of the first medical wiki linked to dedicated mobile applications.
Methods With the support of multiple current and past contributors, we developed an emergency medicine wiki linked to offline mobile applications (WikEM) in 2009. First deployment was at the Harbor-UCLA Medical Center emergency medicine residency program, with the wiki later opened to public use. To evaluate the project, we performed a post hoc analysis of system use and surveyed 8 years of current and past residents. Outcomes included website and application analytics, as well as survey analysis by composite response categories.
Results Over the 6-year period of this project, the wiki grew to over 7250 pages and 45 500 edits. The website receives more than 85 000 user sessions per month, with over 150 million page views to date. There have been over 200 000 installs of the mobile applications, progressing to produce over 5000 mobile sessions daily. Of potential survey respondents, 87.7% (107) completed the Internet-based survey. Among those who contributed to the wiki, 74.6% reported that it benefited their understanding of core emergency medicine content. Of program graduates, the vast majority reported use of the wiki as a resource after residency (93.8%) along with improvement in clinical efficiency (89.7%). Residents reported higher use and a more favorable opinion of wiki usefulness compared to graduates ( P < .001).
Conclusions A wiki paired with mobile applications is beneficial for resident education and useful in post-residency clinical practice.
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Affiliation(s)
- Ross I Donaldson
- Editor in Chief, WikEM
- Director, Global Health Program, Department of Emergency Medicine, Harbor-UCLA Medical Center
- Associate Professor of Clinical Medicine, David Geffen School of Medicine at UCLA
- Adjunct Associate Professor of Epidemiology, UCLA Fielding School of Public Health
| | - Daniel G Ostermayer
- Deputy Editor, WikEM
- EMS Fellow, University of Texas Health Science Center
- Assistant Medical Director, Houston Fire Department
| | - Rosa Banuelos
- Senior Statistician, University of Texas Health Science Center
| | - Manpreet Singh
- Ultrasound Fellow, Department of Emergency Medicine, Harbor-UCLA Medical Center
- Clinical Instructor, David Geffen School of Medicine at UCLA
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Sandholzer M, Deutsch T, Frese T, Winter A. Medical students' attitudes and wishes towards extending an educational general practice app to be suitable for practice: A cross-sectional survey from Leipzig, Germany. Eur J Gen Pract 2016; 22:141-6. [PMID: 27101949 DOI: 10.3109/13814788.2016.1144746] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND In medical education and practice, smartphone apps are increasingly becoming popular. In general practice, apps could play an important future role in supporting medical education and practice. OBJECTIVES To explore medical students' perceptions regarding the potential of a general practice app for training and subsequent work as a physician. METHODS Cross-sectional survey among Leipzig fourth-year medical students who were provided with an app prototype for a mandatory general practice course. RESULTS Response rate was 99.3% (n = 305/307); 59.0% were female and mean age was 24.5 years. Students certified that the app had a higher potential than textbooks in both education (57.4% vs. 18.0%) and practice (47.1% vs. 22.8%). Students' most desired possible app extensions when anticipating its use for subsequent work as a physician were looking up information for diagnostics, therapy and prediction (85.1%), access to electronic patient files (48.1%), communication and networking (44.3%), organization of medical training (42.9%) and online monitoring of patients (38.1%). Students experienced with medical smartphone apps were more interested in app extensions. Consideration to use the app to support the opening of their own practice was significantly associated with higher interest in accessing electronic patient files, networking with colleagues and telemedicine. CONCLUSION Fourth year medical students from Leipzig see a high potential in smartphone apps for education and practice and are interested in further using the technology after undergraduate education.
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Affiliation(s)
- Maximilian Sandholzer
- a Institute for Medical Informatics , Statistics and Epidemiology, Medical Faculty of the University of Leipzig ;,b Department of Primary Care, Medical Faculty of the University of Leipzig , Germany
| | - Tobias Deutsch
- b Department of Primary Care, Medical Faculty of the University of Leipzig , Germany
| | - Thomas Frese
- b Department of Primary Care, Medical Faculty of the University of Leipzig , Germany
| | - Alfred Winter
- a Institute for Medical Informatics , Statistics and Epidemiology, Medical Faculty of the University of Leipzig
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Affiliation(s)
- Dariusz Jemielniak
- New Research on Digital Societies (NeRDS) group, Kozminski University; Jagiellonska 59, 03-301 Warszawa Poland
| | - Eduard Aibar
- Research Group on Open Science & Innovation, Universitat Oberta de Catalunya; Av. Tibidabo, 39-43, 08035 Barcelona Spain
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Affiliation(s)
- Piotr Konieczny
- Hanyang University ERICA Campus; Department of Information Sociology; Room 210, 55 Hanyangdaehak-ro Sangnok-gu Ansan Gyeonggi-do 426-791 Korea
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Jemielniak D. Cross-cultural management and digital societies. Journal of Organizational Change Management 2016. [DOI: 10.1108/jocm-11-2015-0220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
– The purpose of this paper is to see how digital societies’ studies can be inspired by cross-cultural management.
Design/methodology/approach
– Theory critical analysis and review.
Findings
– The paper reveals many similarities and analogies, allowing for useful connections between cross-cultural management research, and studying digital societies.
Originality/value
– By exposing methodological and theoretical links of cross-cultural management field in general, and Magala’s contribution in particular, the following paper helps in better understanding of contemporary research on digital societies, as well as allows for the use of already proven methodologies and approaches in the emerging field of the internet studies.
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Patel R, Chang T, Greysen SR, Chopra V. Social Media Use in Chronic Disease: A Systematic Review and Novel Taxonomy. Am J Med 2015; 128:1335-50. [PMID: 26159633 DOI: 10.1016/j.amjmed.2015.06.015] [Citation(s) in RCA: 156] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2015] [Revised: 06/03/2015] [Accepted: 06/03/2015] [Indexed: 11/28/2022]
Abstract
PURPOSE The purpose of this study is to evaluate clinical outcomes from applications of contemporary social media in chronic disease; to develop a conceptual taxonomy to categorize, summarize, and then analyze the current evidence base; and to suggest a framework for future studies on this topic. METHODS We performed a systematic review of MEDLINE via PubMed (January 2000 to January 2015) of studies reporting clinical outcomes on leading contemporary social media (ie, Facebook, Twitter, Wikipedia, YouTube) use in 10 chronic diseases. Two reviewers independently performed data extraction and quality assessment; characterization of study outcomes as positive, negative, neutral, or undefined impact; and inductive, thematic analysis to develop our taxonomy. RESULTS Of 378 citations identified, 42 studies examining the use of Facebook (n = 16), blogs (n = 13), Twitter (n = 8), wikis (n = 5), and YouTube (n = 4) on outcomes in cancer (n = 14), depression (n = 13), obesity (n = 9), diabetes (n = 4), heart disease (n = 3), stroke (n = 2), and chronic lower respiratory tract infection (n = 1) were included. Studies were classified as support (n = 16), patient education (n = 10), disease modification (n = 6), disease management (n = 5), and diagnosis (n = 5) within our taxonomy. The overall impact of social media on chronic disease was variable, with 48% of studies indicating benefit, 45% neutral or undefined, and 7% suggesting harm. Among studies that showed benefit, 85% used either Facebook or blogs, and 40% were based within the domain of support. CONCLUSIONS Using social media to provide social, emotional, or experiential support in chronic disease, especially with Facebook and blogs, appears most likely to improve patient care.
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Affiliation(s)
| | - Tammy Chang
- Department of Family Medicine and Institute for Health Policy and Innovation, University of Michigan, Ann Arbor
| | | | - Vineet Chopra
- The Patient Safety Enhancement Program, Hospital Outcomes Program of Excellence, and the Center for Clinical Management Research, University of Michigan Health System, Ann Arbor VA Medical Center, Ann Arbor
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O'Brien E, Pell C. Debate: Can and should psychiatrists use online information? BJPsych Bull 2015; 39:312-4. [PMID: 26755994 PMCID: PMC4706211 DOI: 10.1192/pb.bp.114.049973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
When considering professional use of the internet, the focus tends to be on access to information. Yet the development of Web 2.0 and the growth of social media have transformed the internet from a largely read-only medium to one that facilitates interaction and user-created content. I will discuss some of the positive effects that online resources can have on professional practice, looking not just at access to information, but what we do with that information and how we interact online with fellow professionals and the public.
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Graham AL, Hasking P, Clarke D, Meadows G. How People with Depression Receive and Perceive Mental Illness Information: Findings from the Australian National Survey of Mental Health and Wellbeing. Community Ment Health J 2015; 51:994-1001. [PMID: 26138403 DOI: 10.1007/s10597-015-9900-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 06/10/2015] [Indexed: 10/23/2022]
Abstract
Despite the recognised importance of accurate mental illness information in help-seeking and improving recovery, little is known about the dissemination of such information to people with depression. With a view to informing effective communication to those most in need, we explored the extent to which mental illness information is received by people with depression, its perceived helpfulness and we characterise those who do not receive such information. Using data from the Australian National Survey of Mental Health and Wellbeing we observed that mental illness information was received by 54.7 % of those with depression. Most (76.7 %) found it helpful. Pamphlets were the most frequently cited source of information. People who did not receive information were less educated, unlikely to have accessed mental health services and unlikely to believe they had mental health needs. Targeted information campaigns which shape perceptions of need in relation to depression have the potential to reduce the resultant disease burden.
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Affiliation(s)
- Annette L Graham
- Department of Psychiatry, Monash Medical Centre, Southern Clinical School, Monash University, P Block, Level 3, 246 Clayton Road, Clayton, VIC, 3168, Australia.
| | - Penelope Hasking
- School of Psychology and Speech Pathology, Curtin University, Perth, Australia.,Department of Psychiatry, Monash University, Melbourne, Australia
| | - David Clarke
- Department of Psychiatry, Monash University, Melbourne, Australia
| | - Graham Meadows
- Department of Psychiatry, Monash University, Melbourne, Australia.,Mental Health Program, Monash Health, Melbourne, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
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Abstract
OBJECTIVE To evaluate accuracy of content and readability level of English Wikipedia articles on cardiovascular diseases, using quality and readability tools. METHODS Wikipedia was searched on the 6 October 2013 for articles on cardiovascular diseases. Using a modified DISCERN (DISCERN is an instrument widely used in assessing online resources), articles were independently scored by three assessors. The readability was calculated using Flesch-Kincaid Grade Level. The inter-rater agreement between evaluators was calculated using the Fleiss κ scale. RESULTS This study was based on 47 English Wikipedia entries on cardiovascular diseases. The DISCERN scores had a median=33 (IQR=6). Four articles (8.5%) were of good quality (DISCERN score 40-50), 39 (83%) moderate (DISCERN 30-39) and 4 (8.5%) were poor (DISCERN 10-29). Although the entries covered the aetiology and the clinical picture, there were deficiencies in the pathophysiology of diseases, signs and symptoms, diagnostic approaches and treatment. The number of references varied from 1 to 127 references; 25.9±29.4 (mean±SD). Several problems were identified in the list of references and citations made in the articles. The readability of articles was 14.3±1.7 (mean±SD); consistent with the readability level for college students. In comparison, Harrison's Principles of Internal Medicine 18th edition had more tables, less references and no significant difference in number of graphs, images, illustrations or readability level. The overall agreement between the evaluators was good (Fleiss κ 0.718 (95% CI 0.57 to 0.83). CONCLUSIONS The Wikipedia entries are not aimed at a medical audience and should not be used as a substitute to recommended medical resources. Course designers and students should be aware that Wikipedia entries on cardiovascular diseases lack accuracy, predominantly due to errors of omission. Further improvement of the Wikipedia content of cardiovascular entries would be needed before they could be considered a supplementary resource.
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Affiliation(s)
- Samy A Azer
- Department of Medical Education, Curriculum Development and Research Unit, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Nourah M AlSwaidan
- Department of Medical Education, Curriculum Development and Research Unit, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Lama A Alshwairikh
- Department of Medical Education, Curriculum Development and Research Unit, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Jumana M AlShammari
- Department of Medical Education, Curriculum Development and Research Unit, College of Medicine, King Saud University, Riyadh, Saudi Arabia
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Younes N, Chollet A, Menard E, Melchior M. E-mental health care among young adults and help-seeking behaviors: a transversal study in a community sample. J Med Internet Res 2015; 17:e123. [PMID: 25979680 PMCID: PMC4468604 DOI: 10.2196/jmir.4254] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2015] [Revised: 03/09/2015] [Accepted: 03/14/2015] [Indexed: 11/21/2022] Open
Abstract
Background The Internet is widely used by young people and could serve to improve insufficient access to mental health care. Previous information on this topic comes from selected samples (students or self-selected individuals) and is incomplete. Objective In a community sample of young adults, we aimed to describe frequency of e-mental health care study-associated factors and to determine if e-mental health care was associated with the use of conventional services for mental health care. Methods Using data from the 2011 wave of the TEMPO cohort study of French young adults (N=1214, aged 18-37 years), we examined e-mental health care and associated factors following Andersen’s behavioral model: predisposing factors (age, sex, educational attainment, professional activity, living with a partner, children, childhood negative events, chronic somatic disease, parental history of depression), enabling factors (social support, financial difficulties, parents’ income), and needs-related factors (lifetime major depression or anxiety disorders, suicidal ideation, ADHD, cannabis use). We compared traditional service use (seeking help from a general practitioner, a psychiatrist, a psychologist; antidepressant or anxiolytics/hypnotics use) between participants who used e-mental health care versus those who did not. Results Overall, 8.65% (105/1214) of participants reported seeking e-mental health care in case of psychological difficulties in the preceding 12 months and 15.7% (104/664) reported psychological difficulties. Controlling for all covariates, the likelihood of e-mental health care was positively associated with 2 needs-related factors, lifetime major depression or anxiety disorder (OR 2.36, 95% CI 1.36-4.09) and lifetime suicidal ideation (OR 1.91, 95% CI 1.40-2.60), and negatively associated with a predisposing factor: childhood life events (OR 0.60, 95% CI 0.38-0.93). E-mental health care did not hinder traditional care, but was associated with face-to-face psychotherapy (66.2%, 51/77 vs 52.4%, 186/355, P=.03). Conclusions E-mental health care represents an important form of help-seeking behavior for young adults. Professionals and policy makers should take note of this and aim to improve the quality of online information on mental health care and to use this fact in clinical care.
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Affiliation(s)
- Nadia Younes
- Centre Hospitalier de Versailles, Le Chesnay, France.
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Affiliation(s)
- Joel A. Vilensky
- Department of Anatomy and Cell BiologyIndiana University School of MedicineFort Wayne Indiana
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Abstract
The aim of the present study was to critically evaluate the accuracy and readability of English Wikipedia articles on the respiratory system and its disorders and whether they can be a suitable resource for medical students. On April 27, 2014, English Wikipedia was searched for articles on respiratory topics. Using a modified DISCERN instrument, articles were independently scored by three assessors. The scoring targeted content accuracy, frequency of updating, and quality of references. The readability of articles was measured using two other instruments. The mean DISCERN score for the 40 articles identified was 26.4±6.3. Most articles covered causes, signs and symptoms, prevention, and treatment. However, several knowledge deficiencies in the pathogenesis of diseases, investigations needed, and treatment were observed. The total number of references for the 40 articles was 1,654, and the references varied from 0 to 168 references, but several problems were identified in the list of references and citations made. The readability of articles was in the range of 9.4±1.8 to 22.6±10.7 using the Flesch-Kincaid Grade Level instrument and 10.0±2.6 to 19.6±8.3 using the Readability Coleman-Liau index. A strong correlation was found between the two instruments (r2=0.744, P<0.001). The agreement between the assessors had mean κ scores in the range of 0.712-0.857. In conclusion, despite the effort placed in creating Wikipedia respiratory articles by anonymous volunteers (wikipedians), most articles had knowledge deficiencies, were not accurate, and were not suitable for medical students as learning resources.
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Affiliation(s)
- Samy A Azer
- Curriculum Development and Research Unit, College of Medicine, King Saud University, Riyadh, Saudi Arabia
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Kalckreuth S, Trefflich F, Rummel-Kluge C. Mental health related Internet use among psychiatric patients: a cross-sectional analysis. BMC Psychiatry 2014; 14:368. [PMID: 25599722 PMCID: PMC4299476 DOI: 10.1186/s12888-014-0368-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 12/17/2014] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND The Internet is of great importance in today's health sector, as most Internet users utilize online functions for health related purposes. Concerning the mental health care sector, little data exist about the Internet use of psychiatric patients. It is the scope of this current study to analyze the quantity and pattern of Internet usage among mental health patients. METHODS Patients from all services of the Department of Psychiatry at a university hospital were surveyed by completing a 29-item questionnaire. The data analysis included evaluation of frequencies, as well as group comparisons. RESULTS 337 patients participated in the survey, of whom 79.5% were Internet users. Social media was utilized by less than half of the users: social networks (47.8%), forums (19.4%), chats (18.7%), blogs (12.3%). 70.9% used the Internet for mental health related reasons. The contents accessed by the patients included: information on mental disorders (57.8%), information on medication (43.7%), search for mental health services (38.8%), platforms with other patients (19.8%) and platforms with mental health professionals (17.2%). Differences in the pattern of use between users with low, medium and high frequency of Internet use were statistically significant for all entities of social media (p < 0.01), search for mental health services (p = 0.017) and usage of platforms with mental health professionals (p = 0. 048). The analysis of differences in Internet use depending on the participants' type of mental disorder revealed no statistically significant differences, with one exception. Regarding the Internet's role in mental health care, the participants showed differing opinions: 36.2% believe that the Internet has or may have helped them in coping with their mental disorder, while 38.4% stated the contrary. CONCLUSIONS Most psychiatric patients are Internet users. Mental health related Internet use is common among patients, mainly for information seeking. The use of social media is generally less frequent. It varies significantly between different user types and was shown to be associated with high frequency of Internet use. The results illustrate the importance of the Internet in mental health related contexts and may contribute to the further development of mental health related online offers.
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Affiliation(s)
- Sophie Kalckreuth
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Leipzig University, Semmelweißstraße 10, 04103 Leipzig, Germany
| | - Friederike Trefflich
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Leipzig University, Semmelweißstraße 10, 04103 Leipzig, Germany
| | - Christine Rummel-Kluge
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Leipzig University, Semmelweißstraße 10, Leipzig, 04103, Germany.
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