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Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers
•Online communities are a site for crowdsourced medicine and collective uncertainty management.•The social media platform Reddit helps COVID-19 long-haulers manage their uncertainty.•Long-haulers’ talk reflects information-seeking functions through symptom language.•Long-haulers’ talk reflects suppo...
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| Published in: | Patient education and counseling 2022-02, Vol.105 (2), p.322-330 |
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| Main Authors: | , , , , |
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| container_title | Patient education and counseling |
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| creator | Thompson, Charee M. Rhidenour, Kayla B. Blackburn, Kate G. Barrett, Ashley K. Babu, Sara |
| description | •Online communities are a site for crowdsourced medicine and collective uncertainty management.•The social media platform Reddit helps COVID-19 long-haulers manage their uncertainty.•Long-haulers’ talk reflects information-seeking functions through symptom language.•Long-haulers’ talk reflects support-seeking functions through support and identity language.•Health care providers should employ sensitivity when addressing long-haulers’ anxiety and symptoms.
Causes of and treatments for long-COVID syndrome remain unknown. Drawing on uncertainty management theory (UMT), this study elucidates the communicative nature of crowdsourced medicine as a means by which COVID “long-haulers” respond to their poorly understood illness.
31,892 posts on the long-haulers subreddit (r/covidlonghaulers) were analyzed, starting with its creation date, July 24th, 2020, until January 7, 2021. The Meaning Extraction Method was used to identify clusters of words that mathematically group together across the text observations.
Analyses yielded 16 distinct factors of words, which we thematized based on their composition, the data, and UMT. The 16 themes encompassed symptoms (e.g., pain, respiratory, sensory), diagnostic concerns (testing, diagnosis), broad health concerns (immunity, physical activity, diet), chronicity, support, identity, and anxiety.
Findings provide a succinct, yet robust set of themes reflecting the information-seeking (i.e., “This is happening to me”) and support-seeking functions of long-haulers’ talk (i.e., “Is this happening to you?”). Findings have implications for collective uncertainty management, online crowdsourcing, and patient advocacy.
We recommend that health care providers employ sensitivity when addressing the anxiety that long-haulers are experiencing while also validating that their physical symptoms are real. Online communities help long-haulers manage their uncertainty. |
| doi_str_mv | 10.1016/j.pec.2021.07.011 |
| format | article |
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Causes of and treatments for long-COVID syndrome remain unknown. Drawing on uncertainty management theory (UMT), this study elucidates the communicative nature of crowdsourced medicine as a means by which COVID “long-haulers” respond to their poorly understood illness.
31,892 posts on the long-haulers subreddit (r/covidlonghaulers) were analyzed, starting with its creation date, July 24th, 2020, until January 7, 2021. The Meaning Extraction Method was used to identify clusters of words that mathematically group together across the text observations.
Analyses yielded 16 distinct factors of words, which we thematized based on their composition, the data, and UMT. The 16 themes encompassed symptoms (e.g., pain, respiratory, sensory), diagnostic concerns (testing, diagnosis), broad health concerns (immunity, physical activity, diet), chronicity, support, identity, and anxiety.
Findings provide a succinct, yet robust set of themes reflecting the information-seeking (i.e., “This is happening to me”) and support-seeking functions of long-haulers’ talk (i.e., “Is this happening to you?”). Findings have implications for collective uncertainty management, online crowdsourcing, and patient advocacy.
We recommend that health care providers employ sensitivity when addressing the anxiety that long-haulers are experiencing while also validating that their physical symptoms are real. Online communities help long-haulers manage their uncertainty.</description><identifier>ISSN: 0738-3991</identifier><identifier>ISSN: 1873-5134</identifier><identifier>EISSN: 1873-5134</identifier><identifier>DOI: 10.1016/j.pec.2021.07.011</identifier><identifier>PMID: 34281723</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>COVID-19 ; COVID-19 - complications ; Crowdsourcing ; Humans ; Post-Acute COVID-19 Syndrome ; SARS-CoV-2 ; Social media ; Uncertainty ; Uncertainty management</subject><ispartof>Patient education and counseling, 2022-02, Vol.105 (2), p.322-330</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright © 2021 Elsevier B.V. All rights reserved.</rights><rights>2021 Elsevier B.V. All rights reserved. 2021 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-4d700242d709867a97a26519936783ff7bf5da8324a97188456ca0f339ed44573</citedby><cites>FETCH-LOGICAL-c451t-4d700242d709867a97a26519936783ff7bf5da8324a97188456ca0f339ed44573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,786,790,891,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34281723$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thompson, Charee M.</creatorcontrib><creatorcontrib>Rhidenour, Kayla B.</creatorcontrib><creatorcontrib>Blackburn, Kate G.</creatorcontrib><creatorcontrib>Barrett, Ashley K.</creatorcontrib><creatorcontrib>Babu, Sara</creatorcontrib><title>Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers</title><title>Patient education and counseling</title><addtitle>Patient Educ Couns</addtitle><description>•Online communities are a site for crowdsourced medicine and collective uncertainty management.•The social media platform Reddit helps COVID-19 long-haulers manage their uncertainty.•Long-haulers’ talk reflects information-seeking functions through symptom language.•Long-haulers’ talk reflects support-seeking functions through support and identity language.•Health care providers should employ sensitivity when addressing long-haulers’ anxiety and symptoms.
Causes of and treatments for long-COVID syndrome remain unknown. Drawing on uncertainty management theory (UMT), this study elucidates the communicative nature of crowdsourced medicine as a means by which COVID “long-haulers” respond to their poorly understood illness.
31,892 posts on the long-haulers subreddit (r/covidlonghaulers) were analyzed, starting with its creation date, July 24th, 2020, until January 7, 2021. The Meaning Extraction Method was used to identify clusters of words that mathematically group together across the text observations.
Analyses yielded 16 distinct factors of words, which we thematized based on their composition, the data, and UMT. The 16 themes encompassed symptoms (e.g., pain, respiratory, sensory), diagnostic concerns (testing, diagnosis), broad health concerns (immunity, physical activity, diet), chronicity, support, identity, and anxiety.
Findings provide a succinct, yet robust set of themes reflecting the information-seeking (i.e., “This is happening to me”) and support-seeking functions of long-haulers’ talk (i.e., “Is this happening to you?”). Findings have implications for collective uncertainty management, online crowdsourcing, and patient advocacy.
We recommend that health care providers employ sensitivity when addressing the anxiety that long-haulers are experiencing while also validating that their physical symptoms are real. Online communities help long-haulers manage their uncertainty.</description><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>Crowdsourcing</subject><subject>Humans</subject><subject>Post-Acute COVID-19 Syndrome</subject><subject>SARS-CoV-2</subject><subject>Social media</subject><subject>Uncertainty</subject><subject>Uncertainty management</subject><issn>0738-3991</issn><issn>1873-5134</issn><issn>1873-5134</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc1rVDEUxYModqz-AW4kSzfvmc-XREGQ8atQKEjr0pAm981keJOMyXuV_vemTC26cXUX95xzL-eH0EtKekro8GbXH8D3jDDaE9UTSh-hFdWKd5Jy8RitiOK648bQE_Ss1h0hZBgEfYpOuGCaKsZX6MdVjWmDfcm_Qs1L8RDwHkL0MQGeM9675DaAl-ShzC6m-RbnhL9BCHF-iy-3gL2rgPOI1xffzz521OApp023dcsEpT5HT0Y3VXhxP0_R1edPl-uv3fnFl7P1h_POC0nnTgRFCBOsDaMH5YxybJDUGD4ozcdRXY8yOM2ZaCuqtZCDd2Tk3EAQQip-it4fcw_LdXvfQ5qLm-yhxL0rtza7aP_dpLi1m3xjtSbSSN4CXt8HlPxzgTrbfawepsklyEu1TEoumeRkaFJ6lLbSai0wPpyhxN5xsTvbuNg7LpYo27g0z6u__3tw_AHRBO-OAmgt3UQotvoIrfUQC_jZhhz_E_8bdwWdBw</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Thompson, Charee M.</creator><creator>Rhidenour, Kayla B.</creator><creator>Blackburn, Kate G.</creator><creator>Barrett, Ashley K.</creator><creator>Babu, Sara</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220201</creationdate><title>Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers</title><author>Thompson, Charee M. ; Rhidenour, Kayla B. ; Blackburn, Kate G. ; Barrett, Ashley K. ; Babu, Sara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-4d700242d709867a97a26519936783ff7bf5da8324a97188456ca0f339ed44573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>Crowdsourcing</topic><topic>Humans</topic><topic>Post-Acute COVID-19 Syndrome</topic><topic>SARS-CoV-2</topic><topic>Social media</topic><topic>Uncertainty</topic><topic>Uncertainty management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thompson, Charee M.</creatorcontrib><creatorcontrib>Rhidenour, Kayla B.</creatorcontrib><creatorcontrib>Blackburn, Kate G.</creatorcontrib><creatorcontrib>Barrett, Ashley K.</creatorcontrib><creatorcontrib>Babu, Sara</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Patient education and counseling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thompson, Charee M.</au><au>Rhidenour, Kayla B.</au><au>Blackburn, Kate G.</au><au>Barrett, Ashley K.</au><au>Babu, Sara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers</atitle><jtitle>Patient education and counseling</jtitle><addtitle>Patient Educ Couns</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>105</volume><issue>2</issue><spage>322</spage><epage>330</epage><pages>322-330</pages><issn>0738-3991</issn><issn>1873-5134</issn><eissn>1873-5134</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>•Online communities are a site for crowdsourced medicine and collective uncertainty management.•The social media platform Reddit helps COVID-19 long-haulers manage their uncertainty.•Long-haulers’ talk reflects information-seeking functions through symptom language.•Long-haulers’ talk reflects support-seeking functions through support and identity language.•Health care providers should employ sensitivity when addressing long-haulers’ anxiety and symptoms.
Causes of and treatments for long-COVID syndrome remain unknown. Drawing on uncertainty management theory (UMT), this study elucidates the communicative nature of crowdsourced medicine as a means by which COVID “long-haulers” respond to their poorly understood illness.
31,892 posts on the long-haulers subreddit (r/covidlonghaulers) were analyzed, starting with its creation date, July 24th, 2020, until January 7, 2021. The Meaning Extraction Method was used to identify clusters of words that mathematically group together across the text observations.
Analyses yielded 16 distinct factors of words, which we thematized based on their composition, the data, and UMT. The 16 themes encompassed symptoms (e.g., pain, respiratory, sensory), diagnostic concerns (testing, diagnosis), broad health concerns (immunity, physical activity, diet), chronicity, support, identity, and anxiety.
Findings provide a succinct, yet robust set of themes reflecting the information-seeking (i.e., “This is happening to me”) and support-seeking functions of long-haulers’ talk (i.e., “Is this happening to you?”). Findings have implications for collective uncertainty management, online crowdsourcing, and patient advocacy.
We recommend that health care providers employ sensitivity when addressing the anxiety that long-haulers are experiencing while also validating that their physical symptoms are real. Online communities help long-haulers manage their uncertainty.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>34281723</pmid><doi>10.1016/j.pec.2021.07.011</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
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| ispartof | Patient education and counseling, 2022-02, Vol.105 (2), p.322-330 |
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| language | eng |
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| source | ScienceDirect Freedom Collection 2022-2024 |
| subjects | COVID-19 COVID-19 - complications Crowdsourcing Humans Post-Acute COVID-19 Syndrome SARS-CoV-2 Social media Uncertainty Uncertainty management |
| title | Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers |
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