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Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument

BACKGROUND: The Internet is used increasingly by providers as a tool for disseminating pain-related health information and by patients as a resource about health conditions and treatment options. However, health information on the Internet remains unregulated and varies in quality, accuracy and read...

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Autores principales: Kaicker, Jatin, Debono, Victoria Borg, Dang, Wilfred, Buckley, Norman, Thabane, Lehana
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967493/
https://www.ncbi.nlm.nih.gov/pubmed/20939875
http://dx.doi.org/10.1186/1741-7015-8-59
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author Kaicker, Jatin
Debono, Victoria Borg
Dang, Wilfred
Buckley, Norman
Thabane, Lehana
author_facet Kaicker, Jatin
Debono, Victoria Borg
Dang, Wilfred
Buckley, Norman
Thabane, Lehana
author_sort Kaicker, Jatin
collection PubMed
description BACKGROUND: The Internet is used increasingly by providers as a tool for disseminating pain-related health information and by patients as a resource about health conditions and treatment options. However, health information on the Internet remains unregulated and varies in quality, accuracy and readability. The objective of this study was to determine the quality of pain websites, and explain variability in quality and readability between pain websites. METHODS: Five key terms (pain, chronic pain, back pain, arthritis, and fibromyalgia) were entered into the Google, Yahoo and MSN search engines. Websites were assessed using the DISCERN instrument as a quality index. Grade level readability ratings were assessed using the Flesch-Kincaid Readability Algorithm. Univariate (using alpha = 0.20) and multivariable regression (using alpha = 0.05) analyses were used to explain the variability in DISCERN scores and grade level readability using potential for commercial gain, health related seals of approval, language(s) and multimedia features as independent variables. RESULTS: A total of 300 websites were assessed, 21 excluded in accordance with the exclusion criteria and 110 duplicate websites, leaving 161 unique sites. About 6.8% (11/161 websites) of the websites offered patients' commercial products for their pain condition, 36.0% (58/161 websites) had a health related seal of approval, 75.8% (122/161 websites) presented information in English only and 40.4% (65/161 websites) offered an interactive multimedia experience. In assessing the quality of the unique websites, of a maximum score of 80, the overall average DISCERN Score was 55.9 (13.6) and readability (grade level) of 10.9 (3.9). The multivariable regressions demonstrated that website seals of approval (P = 0.015) and potential for commercial gain (P = 0.189) were contributing factors to higher DISCERN scores, while seals of approval (P = 0.168) and interactive multimedia (P = 0.244) contributed to lower grade level readability, as indicated by estimates of the beta coefficients. CONCLUSION: The overall quality of pain websites is moderate, with some shortcomings. Websites that scored high using the DISCERN questionnaire contained health related seals of approval and provided commercial solutions for pain related conditions while those with low readability levels offered interactive multimedia options and have been endorsed by health seals.
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spelling pubmed-29674932010-11-02 Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument Kaicker, Jatin Debono, Victoria Borg Dang, Wilfred Buckley, Norman Thabane, Lehana BMC Med Research Article BACKGROUND: The Internet is used increasingly by providers as a tool for disseminating pain-related health information and by patients as a resource about health conditions and treatment options. However, health information on the Internet remains unregulated and varies in quality, accuracy and readability. The objective of this study was to determine the quality of pain websites, and explain variability in quality and readability between pain websites. METHODS: Five key terms (pain, chronic pain, back pain, arthritis, and fibromyalgia) were entered into the Google, Yahoo and MSN search engines. Websites were assessed using the DISCERN instrument as a quality index. Grade level readability ratings were assessed using the Flesch-Kincaid Readability Algorithm. Univariate (using alpha = 0.20) and multivariable regression (using alpha = 0.05) analyses were used to explain the variability in DISCERN scores and grade level readability using potential for commercial gain, health related seals of approval, language(s) and multimedia features as independent variables. RESULTS: A total of 300 websites were assessed, 21 excluded in accordance with the exclusion criteria and 110 duplicate websites, leaving 161 unique sites. About 6.8% (11/161 websites) of the websites offered patients' commercial products for their pain condition, 36.0% (58/161 websites) had a health related seal of approval, 75.8% (122/161 websites) presented information in English only and 40.4% (65/161 websites) offered an interactive multimedia experience. In assessing the quality of the unique websites, of a maximum score of 80, the overall average DISCERN Score was 55.9 (13.6) and readability (grade level) of 10.9 (3.9). The multivariable regressions demonstrated that website seals of approval (P = 0.015) and potential for commercial gain (P = 0.189) were contributing factors to higher DISCERN scores, while seals of approval (P = 0.168) and interactive multimedia (P = 0.244) contributed to lower grade level readability, as indicated by estimates of the beta coefficients. CONCLUSION: The overall quality of pain websites is moderate, with some shortcomings. Websites that scored high using the DISCERN questionnaire contained health related seals of approval and provided commercial solutions for pain related conditions while those with low readability levels offered interactive multimedia options and have been endorsed by health seals. BioMed Central 2010-10-12 /pmc/articles/PMC2967493/ /pubmed/20939875 http://dx.doi.org/10.1186/1741-7015-8-59 Text en Copyright ©2010 Kaicker et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kaicker, Jatin
Debono, Victoria Borg
Dang, Wilfred
Buckley, Norman
Thabane, Lehana
Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument
title Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument
title_full Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument
title_fullStr Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument
title_full_unstemmed Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument
title_short Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument
title_sort assessment of the quality and variability of health information on chronic pain websites using the discern instrument
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967493/
https://www.ncbi.nlm.nih.gov/pubmed/20939875
http://dx.doi.org/10.1186/1741-7015-8-59
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