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Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research
INTRODUCTION: Social media listening (SML) is an approach to assess patient experience in different indications. This is the first study to report the results of using SML to understand patients’ experiences of living with dry eye disease (DED). METHODS: Publicly available, English-language social m...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Healthcare
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692792/ https://www.ncbi.nlm.nih.gov/pubmed/31161531 http://dx.doi.org/10.1007/s40123-019-0188-4 |
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author | Cook, Nigel Mullins, Anmol Gautam, Raju Medi, Sharath Prince, Clementine Tyagi, Nishith Kommineni, Jyothi |
author_facet | Cook, Nigel Mullins, Anmol Gautam, Raju Medi, Sharath Prince, Clementine Tyagi, Nishith Kommineni, Jyothi |
author_sort | Cook, Nigel |
collection | PubMed |
description | INTRODUCTION: Social media listening (SML) is an approach to assess patient experience in different indications. This is the first study to report the results of using SML to understand patients’ experiences of living with dry eye disease (DED). METHODS: Publicly available, English-language social media content between December 2016 and August 2017 was searched employing pre-defined criteria using Social Studio(®), an online aggregator-tool for posts from social media channels. Using natural language processing (NLP), posts were indexed using patient lexicon and disease-related keywords to derive a set of patient posts. NLP was used to identify relevance, followed by further manual evaluation and analysis to generate patient insights. RESULTS: In all, 2279 possible patient records were identified following NLP, which were filtered for relevance to disease area by analysts, resulting in a total of 1192 posts which formed the basis of this study. Of these, 77% (n = 915) were from the USA. Symptoms, causes, diagnosis and treatments were the most commonly discussed themes. Most common symptoms mentioned were eye dryness (138/901), pain (114/901) and blurry vision (110/901). Pharmaceutical drugs (prescription and over-the-counter; 55%; 764/1393), followed by medical devices (20%; 280/1393), were mentioned as major options for managing symptoms. Of the pharmaceutical drugs, eye drops (33%; 158/476) and artificial tears (10%; 49/476) were the most common over-the-counter options reported, and Restasis(®) (22%; 103/476) and Xiidra(®) (6%; 27/476) were the most common prescription drugs. Patients voiced a significant impact of DED on their daily activities (4%; 9/224), work (23%; 51/224) and driving (12%; 26/224). Lack of DED specialists, standard diagnostic procedures, effective treatment options and need to increase awareness of DED among patients were identified as the key unmet needs. CONCLUSIONS: Insights revealed using SML strengthen our understanding about patient experiences and their unmet needs in DED. This study illustrates that an SML approach contributed effectively in generating patient insights, which can be utilised to inform early drug development process, market access strategies and stakeholder discussions. FUNDING: Novartis Pharma AG, Basel, Switzerland. PLAIN LANGUAGE SUMMARY: Plain language summary available for this article. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40123-019-0188-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6692792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-66927922019-08-26 Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research Cook, Nigel Mullins, Anmol Gautam, Raju Medi, Sharath Prince, Clementine Tyagi, Nishith Kommineni, Jyothi Ophthalmol Ther Original Research INTRODUCTION: Social media listening (SML) is an approach to assess patient experience in different indications. This is the first study to report the results of using SML to understand patients’ experiences of living with dry eye disease (DED). METHODS: Publicly available, English-language social media content between December 2016 and August 2017 was searched employing pre-defined criteria using Social Studio(®), an online aggregator-tool for posts from social media channels. Using natural language processing (NLP), posts were indexed using patient lexicon and disease-related keywords to derive a set of patient posts. NLP was used to identify relevance, followed by further manual evaluation and analysis to generate patient insights. RESULTS: In all, 2279 possible patient records were identified following NLP, which were filtered for relevance to disease area by analysts, resulting in a total of 1192 posts which formed the basis of this study. Of these, 77% (n = 915) were from the USA. Symptoms, causes, diagnosis and treatments were the most commonly discussed themes. Most common symptoms mentioned were eye dryness (138/901), pain (114/901) and blurry vision (110/901). Pharmaceutical drugs (prescription and over-the-counter; 55%; 764/1393), followed by medical devices (20%; 280/1393), were mentioned as major options for managing symptoms. Of the pharmaceutical drugs, eye drops (33%; 158/476) and artificial tears (10%; 49/476) were the most common over-the-counter options reported, and Restasis(®) (22%; 103/476) and Xiidra(®) (6%; 27/476) were the most common prescription drugs. Patients voiced a significant impact of DED on their daily activities (4%; 9/224), work (23%; 51/224) and driving (12%; 26/224). Lack of DED specialists, standard diagnostic procedures, effective treatment options and need to increase awareness of DED among patients were identified as the key unmet needs. CONCLUSIONS: Insights revealed using SML strengthen our understanding about patient experiences and their unmet needs in DED. This study illustrates that an SML approach contributed effectively in generating patient insights, which can be utilised to inform early drug development process, market access strategies and stakeholder discussions. FUNDING: Novartis Pharma AG, Basel, Switzerland. PLAIN LANGUAGE SUMMARY: Plain language summary available for this article. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40123-019-0188-4) contains supplementary material, which is available to authorized users. Springer Healthcare 2019-06-03 2019-09 /pmc/articles/PMC6692792/ /pubmed/31161531 http://dx.doi.org/10.1007/s40123-019-0188-4 Text en © The Author(s) 2019 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 Cook, Nigel Mullins, Anmol Gautam, Raju Medi, Sharath Prince, Clementine Tyagi, Nishith Kommineni, Jyothi Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research |
title | Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research |
title_full | Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research |
title_fullStr | Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research |
title_full_unstemmed | Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research |
title_short | Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research |
title_sort | evaluating patient experiences in dry eye disease through social media listening research |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692792/ https://www.ncbi.nlm.nih.gov/pubmed/31161531 http://dx.doi.org/10.1007/s40123-019-0188-4 |
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