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Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab
PURPOSE: Patient perspective is an important and increasingly sought-after complement to clinical assessment. The aim of this study was to transcribe individual patients’ experience of treatment in a dupilumab clinical trial through free-text responses with analysis using natural language processing...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611726/ https://www.ncbi.nlm.nih.gov/pubmed/34848949 http://dx.doi.org/10.2147/PPA.S320242 |
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author | Khan, Asif H Abbe, Adeline Falissard, Bruno Carita, Paulo Bachert, Claus Mullol, Joaquim Reaney, Matthew Chao, Jingdong Mannent, Leda P Amin, Nikhil Mahajan, Puneet Pirozzi, Gianluca Eckert, Laurent |
author_facet | Khan, Asif H Abbe, Adeline Falissard, Bruno Carita, Paulo Bachert, Claus Mullol, Joaquim Reaney, Matthew Chao, Jingdong Mannent, Leda P Amin, Nikhil Mahajan, Puneet Pirozzi, Gianluca Eckert, Laurent |
author_sort | Khan, Asif H |
collection | PubMed |
description | PURPOSE: Patient perspective is an important and increasingly sought-after complement to clinical assessment. The aim of this study was to transcribe individual patients’ experience of treatment in a dupilumab clinical trial through free-text responses with analysis using natural language processing (NLP) to obtain the unique perspective of patients on disease impact and unmet needs with existing treatment to inform future trial design. PATIENTS AND METHODS: Patients with chronic rhinosinusitis with nasal polyps (CRSwNP) who were enrolled in a Phase IIa randomized controlled trial comparing dupilumab with placebo (NCT01920893) were invited to complete a self-assessment of treatment (SAT) tool at the end of treatment, asking, “What is your opinion on the treatment you had during the trial? What did you like or dislike about the treatment?” Free-text responses were analyzed for the overall cohort and according to treatment assignment using natural language processing including sentiment scoring. In a mixed-methods approach, quantitative patient-reported outcome (PRO) results were utilized to complement the qualitative analysis of free-text responses. RESULTS: Of 60 patients enrolled in the study, 43 (71.6%) completed the SAT and responses from 37 patients were analyzed (placebo, n = 16; dupilumab, n = 21). Word analyses showed that the most common words were “smell,” “improve,” “staff,” “great,” “time,” and “good.” Across the whole cohort, “smell” was the most common symptom-related word. The words “smell” and “experience” were more likely to occur in patients treated with dupilumab. Patients treated with dupilumab also had more positive sentiment in their SAT responses than those who received placebo. The results from this qualitative analysis were reflected in quantitative PRO results. CONCLUSION: “Smell” was important to patients with CRSwNP, highlighting its importance as a patient-centric efficacy outcome measure in the context of clinical trials in CRSwNP. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01920893. Registered 12 August 2013, https://www.clinicaltrials.gov/ct2/show/NCT01920893. |
format | Online Article Text |
id | pubmed-8611726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-86117262021-11-29 Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab Khan, Asif H Abbe, Adeline Falissard, Bruno Carita, Paulo Bachert, Claus Mullol, Joaquim Reaney, Matthew Chao, Jingdong Mannent, Leda P Amin, Nikhil Mahajan, Puneet Pirozzi, Gianluca Eckert, Laurent Patient Prefer Adherence Original Research PURPOSE: Patient perspective is an important and increasingly sought-after complement to clinical assessment. The aim of this study was to transcribe individual patients’ experience of treatment in a dupilumab clinical trial through free-text responses with analysis using natural language processing (NLP) to obtain the unique perspective of patients on disease impact and unmet needs with existing treatment to inform future trial design. PATIENTS AND METHODS: Patients with chronic rhinosinusitis with nasal polyps (CRSwNP) who were enrolled in a Phase IIa randomized controlled trial comparing dupilumab with placebo (NCT01920893) were invited to complete a self-assessment of treatment (SAT) tool at the end of treatment, asking, “What is your opinion on the treatment you had during the trial? What did you like or dislike about the treatment?” Free-text responses were analyzed for the overall cohort and according to treatment assignment using natural language processing including sentiment scoring. In a mixed-methods approach, quantitative patient-reported outcome (PRO) results were utilized to complement the qualitative analysis of free-text responses. RESULTS: Of 60 patients enrolled in the study, 43 (71.6%) completed the SAT and responses from 37 patients were analyzed (placebo, n = 16; dupilumab, n = 21). Word analyses showed that the most common words were “smell,” “improve,” “staff,” “great,” “time,” and “good.” Across the whole cohort, “smell” was the most common symptom-related word. The words “smell” and “experience” were more likely to occur in patients treated with dupilumab. Patients treated with dupilumab also had more positive sentiment in their SAT responses than those who received placebo. The results from this qualitative analysis were reflected in quantitative PRO results. CONCLUSION: “Smell” was important to patients with CRSwNP, highlighting its importance as a patient-centric efficacy outcome measure in the context of clinical trials in CRSwNP. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01920893. Registered 12 August 2013, https://www.clinicaltrials.gov/ct2/show/NCT01920893. Dove 2021-11-19 /pmc/articles/PMC8611726/ /pubmed/34848949 http://dx.doi.org/10.2147/PPA.S320242 Text en © 2021 Khan et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Khan, Asif H Abbe, Adeline Falissard, Bruno Carita, Paulo Bachert, Claus Mullol, Joaquim Reaney, Matthew Chao, Jingdong Mannent, Leda P Amin, Nikhil Mahajan, Puneet Pirozzi, Gianluca Eckert, Laurent Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab |
title | Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab |
title_full | Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab |
title_fullStr | Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab |
title_full_unstemmed | Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab |
title_short | Data Mining of Free-Text Responses: An Innovative Approach to Analyzing Patient Perspectives on Treatment for Chronic Rhinosinusitis with Nasal Polyps in a Phase IIa Proof-of-Concept Study for Dupilumab |
title_sort | data mining of free-text responses: an innovative approach to analyzing patient perspectives on treatment for chronic rhinosinusitis with nasal polyps in a phase iia proof-of-concept study for dupilumab |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611726/ https://www.ncbi.nlm.nih.gov/pubmed/34848949 http://dx.doi.org/10.2147/PPA.S320242 |
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