MARC details
000 -LEADER |
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04071nas a22002897a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
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OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20210602162546.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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ta |
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
1439-4456 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
Salus Infirmorum |
245 00 - TITLE STATEMENT |
Title |
Evaluating the Quality of Health Information in a Changing Digital Ecosystem / |
Statement of responsibility, etc. |
Alla Keselman; Catherine Arnott Smith; Anita C Murcko; David R Kaufman<br/> |
500 ## - GENERAL NOTE |
General note |
PDF en biblioteca |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Bibliografía: p.11-12 |
520 8# - SUMMARY, ETC. |
Summary, etc. |
Background: Critical evaluation of online health information has always been central to consumer health informatics. However,<br/>with the emergence of new Web media platforms and the ubiquity of social media, the issue has taken on a new dimension and<br/>urgency. At the same time, many established existing information quality evaluation guidelines address information characteristics<br/>other than the content (eg, authority and currency), target information creators rather than users as their main audience, or do not<br/>address information presented via novel Web technologies.<br/>Objective: The aim of this formative study was to (1) develop a methodological approach for analyzing health-related Web<br/>pages and (2) apply it to a set of relevant Web pages.<br/>Methods: This qualitative study analyzed 25 type 2 diabetes pages, which were derived from the results of a Google search<br/>with the keywords “diabetes,” “reversal,” and “natural.” The coding scheme, developed via a combination of theory- and data-driven<br/>approaches, includes 5 categories from existing guidelines (resource type, information authority, validity of background information<br/>sources, objectivity, and currency) and 7 novel categories (treatment or reversal method, promises and certainty, criticisms of<br/>establishment, emotional appeal, vocabulary, rhetoric and presentation, and use of science in argumentation). The coding involves<br/>both categorical judgment and in-depth narrative characterization. On establishing satisfactory level of agreement on the narrative<br/>coding, the team coded the complete dataset of 25 pages.<br/>Results: The results set included “traditional” static pages, videos, and digitized versions of printed newspapers or magazine<br/>articles. Treatments proposed by the pages included a mixture of conventional evidence-based treatments (eg, healthy balanced<br/>diet exercise) and unconventional treatments (eg, dietary supplements, optimizing gut flora). Most pages either promised or<br/>strongly implied high likelihood of complete recovery. Pages varied greatly with respect to the authors’ stated background and<br/>credentials as well as the information sources they referenced or mentioned. The majority included criticisms of the traditional<br/>health care establishment. Many sold commercial products ranging from dietary supplements to books. The pages frequently<br/>used colloquial language. A significant number included emotional personal anecdotes, made positive mentions of the word cure,<br/>and included references to nature as a positive healing force. Most pages presented some biological explanations of their proposed<br/>treatments. Some of the explanations involved the level of complexity well beyond the level of an educated layperson.<br/>Conclusions: Both traditional and data-driven categories of codes used in this work yielded insights about the resources and<br/>highlighted challenges faced by their users. This exploratory study underscores the challenges of consumer health information<br/>seeking and the importance of developing support tools that would help users seek, evaluate, and analyze information in the<br/>changing digital ecosystem.<br/> |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
eHealth |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
eHealth literacy |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
type 2 diabetes mellitus |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
consumer health information |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
health literacy |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
information evaluation |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
information quality |
653 14 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
information literacy |
773 ## - HOST ITEM ENTRY |
Related parts |
-- 2019, v.21, 2, p. 1-12 |
Title |
Journal of Medical Internet Research |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Universal Decimal Classification |
Koha item type |
Artículo de revista |