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Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis
INTRODUCTION: Online communities contain a wealth of information containing unsolicited patient experiences that may go beyond what is captured by guided surveys or patient-reported outcome (PRO) instruments used in clinical settings. This study described patient experiences reported online to bette...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859700/ https://www.ncbi.nlm.nih.gov/pubmed/29450863 http://dx.doi.org/10.1007/s12325-018-0669-1 |
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author | Sunkureddi, Prashanth Gibson, Dawn Doogan, Stephen Heid, John Benosman, Samir Park, Yujin |
author_facet | Sunkureddi, Prashanth Gibson, Dawn Doogan, Stephen Heid, John Benosman, Samir Park, Yujin |
author_sort | Sunkureddi, Prashanth |
collection | PubMed |
description | INTRODUCTION: Online communities contain a wealth of information containing unsolicited patient experiences that may go beyond what is captured by guided surveys or patient-reported outcome (PRO) instruments used in clinical settings. This study described patient experiences reported online to better understand the day-to-day disease burden of ankylosing spondylitis (AS). METHODS: Unguided, English-language patient narratives reported between January 2010 and May 2016 were collected from 52 online sources (e.g., general/health social networking sites, patient–physician Q&A sites, AS forums). Using natural language processing combined with manual curation, patient-reported experiences within narratives were evaluated and categorized into social, physical, emotional, cognitive, and role activity (SPEC-R) concepts to assess functional impairment. The same SPEC-R categorization was applied to 5 AS-specific PRO instruments to evaluate their coverage of concepts extracted from patient narratives. RESULTS: A total of 34,780 narratives from 3449 patients with AS were included. Physical aspects of AS (e.g., pain and mobility) were most commonly reported by patients (86.7%), followed by emotional (32.5%), cognitive (23.6%), role activity (8.7%) and social (5.1%). Some frequently discussed subconcepts were effectively captured by ≥ 2 PRO instruments, such as pain (65.3%), asthenia (19.9%), musculoskeletal impairment (19.9%), depression (9.9%), and anger/frustration (5.4%); others [e.g., anxiety (19.1%), mental impairment (3.2%), impulsivity (2.9%)] were not addressed by any of the PRO instruments. CONCLUSION: These findings highlight the importance of analyzing patient experiences beyond clinical trial settings and physician reports; continuous assessment of existing PRO instruments in collaboration with patients may increase their utility in real-world settings. FUNDING: Novartis Pharmaceuticals Corporation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12325-018-0669-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5859700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-58597002018-03-22 Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis Sunkureddi, Prashanth Gibson, Dawn Doogan, Stephen Heid, John Benosman, Samir Park, Yujin Adv Ther Original Research INTRODUCTION: Online communities contain a wealth of information containing unsolicited patient experiences that may go beyond what is captured by guided surveys or patient-reported outcome (PRO) instruments used in clinical settings. This study described patient experiences reported online to better understand the day-to-day disease burden of ankylosing spondylitis (AS). METHODS: Unguided, English-language patient narratives reported between January 2010 and May 2016 were collected from 52 online sources (e.g., general/health social networking sites, patient–physician Q&A sites, AS forums). Using natural language processing combined with manual curation, patient-reported experiences within narratives were evaluated and categorized into social, physical, emotional, cognitive, and role activity (SPEC-R) concepts to assess functional impairment. The same SPEC-R categorization was applied to 5 AS-specific PRO instruments to evaluate their coverage of concepts extracted from patient narratives. RESULTS: A total of 34,780 narratives from 3449 patients with AS were included. Physical aspects of AS (e.g., pain and mobility) were most commonly reported by patients (86.7%), followed by emotional (32.5%), cognitive (23.6%), role activity (8.7%) and social (5.1%). Some frequently discussed subconcepts were effectively captured by ≥ 2 PRO instruments, such as pain (65.3%), asthenia (19.9%), musculoskeletal impairment (19.9%), depression (9.9%), and anger/frustration (5.4%); others [e.g., anxiety (19.1%), mental impairment (3.2%), impulsivity (2.9%)] were not addressed by any of the PRO instruments. CONCLUSION: These findings highlight the importance of analyzing patient experiences beyond clinical trial settings and physician reports; continuous assessment of existing PRO instruments in collaboration with patients may increase their utility in real-world settings. FUNDING: Novartis Pharmaceuticals Corporation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12325-018-0669-1) contains supplementary material, which is available to authorized users. Springer Healthcare 2018-02-15 2018 /pmc/articles/PMC5859700/ /pubmed/29450863 http://dx.doi.org/10.1007/s12325-018-0669-1 Text en © The Author(s) 2018 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Sunkureddi, Prashanth Gibson, Dawn Doogan, Stephen Heid, John Benosman, Samir Park, Yujin Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis |
title | Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis |
title_full | Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis |
title_fullStr | Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis |
title_full_unstemmed | Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis |
title_short | Using Self-Reported Patient Experiences to Understand Patient Burden: Learnings from Digital Patient Communities in Ankylosing Spondylitis |
title_sort | using self-reported patient experiences to understand patient burden: learnings from digital patient communities in ankylosing spondylitis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859700/ https://www.ncbi.nlm.nih.gov/pubmed/29450863 http://dx.doi.org/10.1007/s12325-018-0669-1 |
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