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Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation
BACKGROUND: Digital communication has emerged as a major source of scientific and medical information for health care professionals. There is a need to set up an effective and reliable methodology to assess and monitor the quality of content that is published on the internet. OBJECTIVE: The aim of t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227648/ https://www.ncbi.nlm.nih.gov/pubmed/35485280 http://dx.doi.org/10.2196/35698 |
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author | Kantor, Daniel Farlow, Martin Ludolph, Albert Montaner, Joan Sankar, Raman Sawyer Jr, Robert N Stocchi, Fabrizio Lara, Agnès Clark, Sarah Deschet, Karine Ouyahia, Loucif Hadjiat, Yacine |
author_facet | Kantor, Daniel Farlow, Martin Ludolph, Albert Montaner, Joan Sankar, Raman Sawyer Jr, Robert N Stocchi, Fabrizio Lara, Agnès Clark, Sarah Deschet, Karine Ouyahia, Loucif Hadjiat, Yacine |
author_sort | Kantor, Daniel |
collection | PubMed |
description | BACKGROUND: Digital communication has emerged as a major source of scientific and medical information for health care professionals. There is a need to set up an effective and reliable methodology to assess and monitor the quality of content that is published on the internet. OBJECTIVE: The aim of this project was to develop content quality guidelines for Neurodiem, an independent scientific information platform dedicated to neurology for health care professionals and neuroscientists. These content quality guidelines are intended to be used by (1) content providers as a framework to meet content quality standards and (2) reviewers as a tool for analyzing and scoring quality of content. METHODS: Specific scientific criteria were designed using a 5-point scale to measure the quality of curated and original content published on the website: for Summaries, (1) source reliability and topic relevance for neurologists, (2) structure, and (3) scientific and didactic value; for Congress highlights, (1) relevance of congress selection, (2) congress coverage based on the original program, and (3) scientific and didactic value of individual abstracts; for Expert points of view and talks, (1) credibility (authorship) and topic relevance for neurologists, (2) scientific and didactic value, and (3) reliability (references) and format. The criteria were utilized on a monthly basis and endorsed by an independent scientific committee of widely recognized medical experts in neurology. RESULTS: Summary content quality for the 3 domains (reliability and relevance, structure, and scientific and didactic value) increased in the second month after the implementation of the guidelines. The domain scientific and didactic value had a mean score of 8.20/10. Scores for the domains reliability and relevance (8-9/10) and structure (45-55/60) showed that the maintenance of these 2 quality items over time was more challenging. Talks (either in the format of interviews or slide deck–supported scientific presentations) and expert point of view demonstrated high quality after the implementation of the content quality guidelines that was maintained over time (15-25/25). CONCLUSIONS: Our findings support that content quality guidelines provide both (1) a reliable framework for generating independent high-quality content that addresses the educational needs of neurologists and (2) are an objective evaluation tool for improving and maintaining scientific quality level. The use of these criteria and this scoring system could serve as a standard and reference to build an editorial strategy and review process for any medical news or platforms. |
format | Online Article Text |
id | pubmed-9227648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92276482022-06-25 Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation Kantor, Daniel Farlow, Martin Ludolph, Albert Montaner, Joan Sankar, Raman Sawyer Jr, Robert N Stocchi, Fabrizio Lara, Agnès Clark, Sarah Deschet, Karine Ouyahia, Loucif Hadjiat, Yacine Interact J Med Res Original Paper BACKGROUND: Digital communication has emerged as a major source of scientific and medical information for health care professionals. There is a need to set up an effective and reliable methodology to assess and monitor the quality of content that is published on the internet. OBJECTIVE: The aim of this project was to develop content quality guidelines for Neurodiem, an independent scientific information platform dedicated to neurology for health care professionals and neuroscientists. These content quality guidelines are intended to be used by (1) content providers as a framework to meet content quality standards and (2) reviewers as a tool for analyzing and scoring quality of content. METHODS: Specific scientific criteria were designed using a 5-point scale to measure the quality of curated and original content published on the website: for Summaries, (1) source reliability and topic relevance for neurologists, (2) structure, and (3) scientific and didactic value; for Congress highlights, (1) relevance of congress selection, (2) congress coverage based on the original program, and (3) scientific and didactic value of individual abstracts; for Expert points of view and talks, (1) credibility (authorship) and topic relevance for neurologists, (2) scientific and didactic value, and (3) reliability (references) and format. The criteria were utilized on a monthly basis and endorsed by an independent scientific committee of widely recognized medical experts in neurology. RESULTS: Summary content quality for the 3 domains (reliability and relevance, structure, and scientific and didactic value) increased in the second month after the implementation of the guidelines. The domain scientific and didactic value had a mean score of 8.20/10. Scores for the domains reliability and relevance (8-9/10) and structure (45-55/60) showed that the maintenance of these 2 quality items over time was more challenging. Talks (either in the format of interviews or slide deck–supported scientific presentations) and expert point of view demonstrated high quality after the implementation of the content quality guidelines that was maintained over time (15-25/25). CONCLUSIONS: Our findings support that content quality guidelines provide both (1) a reliable framework for generating independent high-quality content that addresses the educational needs of neurologists and (2) are an objective evaluation tool for improving and maintaining scientific quality level. The use of these criteria and this scoring system could serve as a standard and reference to build an editorial strategy and review process for any medical news or platforms. JMIR Publications 2022-06-09 /pmc/articles/PMC9227648/ /pubmed/35485280 http://dx.doi.org/10.2196/35698 Text en ©Daniel Kantor, Martin Farlow, Albert Ludolph, Joan Montaner, Raman Sankar, Robert N Sawyer Jr, Fabrizio Stocchi, Agnès Lara, Sarah Clark, Karine Deschet, Loucif Ouyahia, Yacine Hadjiat. Originally published in the Interactive Journal of Medical Research (https://www.i-jmr.org/), 09.06.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Interactive Journal of Medical Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.i-jmr.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Kantor, Daniel Farlow, Martin Ludolph, Albert Montaner, Joan Sankar, Raman Sawyer Jr, Robert N Stocchi, Fabrizio Lara, Agnès Clark, Sarah Deschet, Karine Ouyahia, Loucif Hadjiat, Yacine Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation |
title | Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation |
title_full | Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation |
title_fullStr | Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation |
title_full_unstemmed | Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation |
title_short | Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation |
title_sort | digital scientific platform for independent content in neurology: rigorous quality guideline development and implementation |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227648/ https://www.ncbi.nlm.nih.gov/pubmed/35485280 http://dx.doi.org/10.2196/35698 |
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