Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media
Introduction Statin discontinuation can have major negative health consequences. Studying the reasons for discontinuation can be challenging as traditional data collection methods have limitations. We propose an alternative approach using social media. Methods We used natural language processing and...
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| Veröffentlicht in: | Drug safety 2022-09, Vol.45 (9), p.971-981 |
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| creator | Golder, Su Weissenbacher, Davy O’Connor, Karen Hennessy, Sean Gross, Robert Hernandez, Graciela Gonzalez |
| description | Introduction
Statin discontinuation can have major negative health consequences. Studying the reasons for discontinuation can be challenging as traditional data collection methods have limitations. We propose an alternative approach using social media.
Methods
We used natural language processing and machine learning to extract mentions of discontinuation of statin therapy from an online health forum, WebMD (
http://www.webmd.com
). We then extracted data according to themes and identified key attributes of the people posting for themselves.
Results
We identified 2121 statin reviews that contained information on discontinuing at least one named statin. Sixty percent of people posting declared themselves as female and the most common age category was 55–64 years. Over half the people taking statins did so for |
| doi_str_mv | 10.1007/s40264-022-01212-0 |
| format | Article |
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Statin discontinuation can have major negative health consequences. Studying the reasons for discontinuation can be challenging as traditional data collection methods have limitations. We propose an alternative approach using social media.
Methods
We used natural language processing and machine learning to extract mentions of discontinuation of statin therapy from an online health forum, WebMD (
http://www.webmd.com
). We then extracted data according to themes and identified key attributes of the people posting for themselves.
Results
We identified 2121 statin reviews that contained information on discontinuing at least one named statin. Sixty percent of people posting declared themselves as female and the most common age category was 55–64 years. Over half the people taking statins did so for < 6 months. By far the most common reason given (90%) was patient experience of adverse events, the most common of which were musculoskeletal and connective tissue disorders. The rank order of adverse events reported in WebMD was largely consistent with those reported to regulatory agencies in the US and UK. Data were available on age, sex, duration of statin use, and, in some instances, adverse event resolution and rechallenge. In some instances, details were presented on resolution of the adverse event and rechallenge.
Conclusion
Social media may provide data on the reasons for switching or discontinuation of a medication, as well as unique patient perspectives that may influence continuation of a medication. This information source may provide unique data for novel interventions to reduce medication discontinuation.</description><identifier>ISSN: 0114-5916</identifier><identifier>EISSN: 1179-1942</identifier><identifier>DOI: 10.1007/s40264-022-01212-0</identifier><identifier>PMID: 35933649</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adverse events ; Annotations ; Bias ; Connective tissues ; Data collection ; Digital media ; Drug Safety and Pharmacovigilance ; Machine learning ; Medicine ; Medicine & Public Health ; Mixed methods research ; Natural language processing ; Neural networks ; Original ; Original Research Article ; Patients ; Pharmacology/Toxicology ; Pharmacy ; Social networks ; Statins ; Switching</subject><ispartof>Drug safety, 2022-09, Vol.45 (9), p.971-981</ispartof><rights>The Author(s) 2022</rights><rights>Copyright Springer Nature B.V. Sep 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-dbb4b37720ecc122ee599e5698b2c86870b3c88d240fdf4a7aec1800538a95b93</citedby><cites>FETCH-LOGICAL-c451t-dbb4b37720ecc122ee599e5698b2c86870b3c88d240fdf4a7aec1800538a95b93</cites><orcidid>0000-0002-8987-5211</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40264-022-01212-0$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40264-022-01212-0$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,778,782,883,27911,27912,41475,42544,51306</link.rule.ids></links><search><creatorcontrib>Golder, Su</creatorcontrib><creatorcontrib>Weissenbacher, Davy</creatorcontrib><creatorcontrib>O’Connor, Karen</creatorcontrib><creatorcontrib>Hennessy, Sean</creatorcontrib><creatorcontrib>Gross, Robert</creatorcontrib><creatorcontrib>Hernandez, Graciela Gonzalez</creatorcontrib><title>Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media</title><title>Drug safety</title><addtitle>Drug Saf</addtitle><description>Introduction
Statin discontinuation can have major negative health consequences. Studying the reasons for discontinuation can be challenging as traditional data collection methods have limitations. We propose an alternative approach using social media.
Methods
We used natural language processing and machine learning to extract mentions of discontinuation of statin therapy from an online health forum, WebMD (
http://www.webmd.com
). We then extracted data according to themes and identified key attributes of the people posting for themselves.
Results
We identified 2121 statin reviews that contained information on discontinuing at least one named statin. Sixty percent of people posting declared themselves as female and the most common age category was 55–64 years. Over half the people taking statins did so for < 6 months. By far the most common reason given (90%) was patient experience of adverse events, the most common of which were musculoskeletal and connective tissue disorders. The rank order of adverse events reported in WebMD was largely consistent with those reported to regulatory agencies in the US and UK. Data were available on age, sex, duration of statin use, and, in some instances, adverse event resolution and rechallenge. In some instances, details were presented on resolution of the adverse event and rechallenge.
Conclusion
Social media may provide data on the reasons for switching or discontinuation of a medication, as well as unique patient perspectives that may influence continuation of a medication. This information source may provide unique data for novel interventions to reduce medication discontinuation.</description><subject>Adverse events</subject><subject>Annotations</subject><subject>Bias</subject><subject>Connective tissues</subject><subject>Data collection</subject><subject>Digital media</subject><subject>Drug Safety and Pharmacovigilance</subject><subject>Machine learning</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mixed methods research</subject><subject>Natural language processing</subject><subject>Neural networks</subject><subject>Original</subject><subject>Original Research Article</subject><subject>Patients</subject><subject>Pharmacology/Toxicology</subject><subject>Pharmacy</subject><subject>Social networks</subject><subject>Statins</subject><subject>Switching</subject><issn>0114-5916</issn><issn>1179-1942</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9UUtvGyEQRlGi2E3zB3JaqedNBpZloYdKUV6NFCtVHmfEsqyNZcMW2LT-98FxlKqXXEDM95gZPoROMJxigOYsUiCMlkBICZjgfO6hKcaNKLGgZB9NAWNa1gKzCfoS4xIAOGH8EE2qWlQVo2KKhl8qWeNS-WAGH5Lpigejonex6H0oHv_YpBfWzYv8uLRRe5esG7eFx5SFrnhamKCGzffivJjZv1k-M2nhu5jxsdsUz_GN67VVqwx1Vn1FB71aRXP8fh-h5-urp4uf5d39ze3F-V2paY1T2bUtbaumIWC0xoQYUwthaiZ4SzRnvIG20px3hELf9VQ1ymjMAeqKK1G3ojpCP3a-w9iuTafzjkGt5BDsWoWN9MrK_xFnF3LuX6TIv5rbZoNv7wbB_x5NTHLpx-DyzJI0wDhrGKeZRXYsHXyMwfQfHTDIbUpyl5LMKcm3lOTWutqJYia7uQn_rD9RvQIarZT4</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Golder, Su</creator><creator>Weissenbacher, Davy</creator><creator>O’Connor, Karen</creator><creator>Hennessy, Sean</creator><creator>Gross, Robert</creator><creator>Hernandez, Graciela Gonzalez</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>7RV</scope><scope>7T2</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8987-5211</orcidid></search><sort><creationdate>20220901</creationdate><title>Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media</title><author>Golder, Su ; Weissenbacher, Davy ; O’Connor, Karen ; Hennessy, Sean ; Gross, Robert ; Hernandez, Graciela Gonzalez</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-dbb4b37720ecc122ee599e5698b2c86870b3c88d240fdf4a7aec1800538a95b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adverse events</topic><topic>Annotations</topic><topic>Bias</topic><topic>Connective tissues</topic><topic>Data collection</topic><topic>Digital media</topic><topic>Drug Safety and Pharmacovigilance</topic><topic>Machine learning</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mixed methods research</topic><topic>Natural language processing</topic><topic>Neural networks</topic><topic>Original</topic><topic>Original Research Article</topic><topic>Patients</topic><topic>Pharmacology/Toxicology</topic><topic>Pharmacy</topic><topic>Social networks</topic><topic>Statins</topic><topic>Switching</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Golder, Su</creatorcontrib><creatorcontrib>Weissenbacher, Davy</creatorcontrib><creatorcontrib>O’Connor, Karen</creatorcontrib><creatorcontrib>Hennessy, Sean</creatorcontrib><creatorcontrib>Gross, Robert</creatorcontrib><creatorcontrib>Hernandez, Graciela Gonzalez</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Drug safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Golder, Su</au><au>Weissenbacher, Davy</au><au>O’Connor, Karen</au><au>Hennessy, Sean</au><au>Gross, Robert</au><au>Hernandez, Graciela Gonzalez</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media</atitle><jtitle>Drug safety</jtitle><stitle>Drug Saf</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>45</volume><issue>9</issue><spage>971</spage><epage>981</epage><pages>971-981</pages><issn>0114-5916</issn><eissn>1179-1942</eissn><abstract>Introduction
Statin discontinuation can have major negative health consequences. Studying the reasons for discontinuation can be challenging as traditional data collection methods have limitations. We propose an alternative approach using social media.
Methods
We used natural language processing and machine learning to extract mentions of discontinuation of statin therapy from an online health forum, WebMD (
http://www.webmd.com
). We then extracted data according to themes and identified key attributes of the people posting for themselves.
Results
We identified 2121 statin reviews that contained information on discontinuing at least one named statin. Sixty percent of people posting declared themselves as female and the most common age category was 55–64 years. Over half the people taking statins did so for < 6 months. By far the most common reason given (90%) was patient experience of adverse events, the most common of which were musculoskeletal and connective tissue disorders. The rank order of adverse events reported in WebMD was largely consistent with those reported to regulatory agencies in the US and UK. Data were available on age, sex, duration of statin use, and, in some instances, adverse event resolution and rechallenge. In some instances, details were presented on resolution of the adverse event and rechallenge.
Conclusion
Social media may provide data on the reasons for switching or discontinuation of a medication, as well as unique patient perspectives that may influence continuation of a medication. This information source may provide unique data for novel interventions to reduce medication discontinuation.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35933649</pmid><doi>10.1007/s40264-022-01212-0</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-8987-5211</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Adverse events Annotations Bias Connective tissues Data collection Digital media Drug Safety and Pharmacovigilance Machine learning Medicine Medicine & Public Health Mixed methods research Natural language processing Neural networks Original Original Research Article Patients Pharmacology/Toxicology Pharmacy Social networks Statins Switching |
| title | Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media |
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