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Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma

There is a need to understand how patients are managed in the real world to better understand disease burden and unmet need. Traditional approaches to gather these data include the use of electronic medical record (EMR) or claims databases; however, in many cases data access policies prevent rapid i...

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Autores principales: McDonald, Laura, Behl, Varun, Sundar, Vijayarakhavan, Mehmud, Faisal, Malcolm, Bill, Ramagopalan, Sreeram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994021/
https://www.ncbi.nlm.nih.gov/pubmed/32025637
http://dx.doi.org/10.1093/jamiaopen/ooz013
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author McDonald, Laura
Behl, Varun
Sundar, Vijayarakhavan
Mehmud, Faisal
Malcolm, Bill
Ramagopalan, Sreeram
author_facet McDonald, Laura
Behl, Varun
Sundar, Vijayarakhavan
Mehmud, Faisal
Malcolm, Bill
Ramagopalan, Sreeram
author_sort McDonald, Laura
collection PubMed
description There is a need to understand how patients are managed in the real world to better understand disease burden and unmet need. Traditional approaches to gather these data include the use of electronic medical record (EMR) or claims databases; however, in many cases data access policies prevent rapid insight gathering. Social media may provide a potential source of real-world data to assess treatment patterns, but the limitations and biases of doing so have not yet been evaluated. Here, we assessed whether patient treatment patterns extracted from publicly available patient forums compare to results from more traditional EMR and claims databases. We observed that the 95% confidence intervals of proportions of treatments received at first, second, and third line for advanced/metastatic melanoma generated from unstructured social media data overlapped with 95% confidence intervals from proportions obtained from 1 or more traditional EMR/Claims databases. Social media may offer a valid data option to understand treatment patterns in the real world.
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spelling pubmed-69940212020-02-05 Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma McDonald, Laura Behl, Varun Sundar, Vijayarakhavan Mehmud, Faisal Malcolm, Bill Ramagopalan, Sreeram JAMIA Open Brief Communications There is a need to understand how patients are managed in the real world to better understand disease burden and unmet need. Traditional approaches to gather these data include the use of electronic medical record (EMR) or claims databases; however, in many cases data access policies prevent rapid insight gathering. Social media may provide a potential source of real-world data to assess treatment patterns, but the limitations and biases of doing so have not yet been evaluated. Here, we assessed whether patient treatment patterns extracted from publicly available patient forums compare to results from more traditional EMR and claims databases. We observed that the 95% confidence intervals of proportions of treatments received at first, second, and third line for advanced/metastatic melanoma generated from unstructured social media data overlapped with 95% confidence intervals from proportions obtained from 1 or more traditional EMR/Claims databases. Social media may offer a valid data option to understand treatment patterns in the real world. Oxford University Press 2019-09-03 /pmc/articles/PMC6994021/ /pubmed/32025637 http://dx.doi.org/10.1093/jamiaopen/ooz013 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Communications
McDonald, Laura
Behl, Varun
Sundar, Vijayarakhavan
Mehmud, Faisal
Malcolm, Bill
Ramagopalan, Sreeram
Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma
title Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma
title_full Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma
title_fullStr Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma
title_full_unstemmed Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma
title_short Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma
title_sort validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma
topic Brief Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994021/
https://www.ncbi.nlm.nih.gov/pubmed/32025637
http://dx.doi.org/10.1093/jamiaopen/ooz013
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