Cervical Myelopathy and Social Media: Mixed Methods Analysis
BackgroundDegenerative cervical myelopathy (DCM) is a progressive neurologic condition caused by age-related degeneration of the cervical spine. Social media has become a crucial part of many patients’ lives; however, little is known about social media use pertaining to DCM....
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2023-05-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2023/1/e42097 |
| _version_ | 1797734138981122048 |
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| author | Lior M Elkaim Jordan J Levett Farbod Niazi Mohammed A Alvi Nathan A Shlobin Joseph R Linzey Faith Robertson Rakan Bokhari Naif M Alotaibi Oliver Lasry |
| author_facet | Lior M Elkaim Jordan J Levett Farbod Niazi Mohammed A Alvi Nathan A Shlobin Joseph R Linzey Faith Robertson Rakan Bokhari Naif M Alotaibi Oliver Lasry |
| author_sort | Lior M Elkaim |
| collection | DOAJ |
| description |
BackgroundDegenerative cervical myelopathy (DCM) is a progressive neurologic condition caused by age-related degeneration of the cervical spine. Social media has become a crucial part of many patients’ lives; however, little is known about social media use pertaining to DCM.
ObjectiveThis manuscript describes the landscape of social media use and DCM in patients, caretakers, clinicians, and researchers.
MethodsA comprehensive search of the entire Twitter application programing interface database from inception to March 2022 was performed to identify all tweets about cervical myelopathy. Data on Twitter users included geographic location, number of followers, and number of tweets. The number of tweet likes, retweets, quotes, and total engagement were collected. Tweets were also categorized based on their underlying themes. Mentions pertaining to past or upcoming surgical procedures were recorded. A natural language processing algorithm was used to assign a polarity score, subjectivity score, and analysis label to each tweet for sentiment analysis.
ResultsOverall, 1859 unique tweets from 1769 accounts met the inclusion criteria. The highest frequency of tweets was seen in 2018 and 2019, and tweets decreased significantly in 2020 and 2021. Most (888/1769, 50.2%) of the tweets’ authors were from the United States, United Kingdom, or Canada. Account categorization showed that 668 of 1769 (37.8%) users discussing DCM on Twitter were medical doctors or researchers, 415 of 1769 (23.5%) were patients or caregivers, and 201 of 1769 (11.4%) were news media outlets. The 1859 tweets most often discussed research (n=761, 40.9%), followed by spreading awareness or informing the public on DCM (n=559, 30.1%). Tweets describing personal patient perspectives on living with DCM were seen in 296 (15.9%) posts, with 65 (24%) of these discussing upcoming or past surgical experiences. Few tweets were related to advertising (n=31, 1.7%) or fundraising (n=7, 0.4%). A total of 930 (50%) tweets included a link, 260 (14%) included media (ie, photos or videos), and 595 (32%) included a hashtag. Overall, 847 of the 1859 tweets (45.6%) were classified as neutral, 717 (38.6%) as positive, and 295 (15.9%) as negative.
ConclusionsWhen categorized thematically, most tweets were related to research, followed by spreading awareness or informing the public on DCM. Almost 25% (65/296) of tweets describing patients’ personal experiences with DCM discussed past or upcoming surgical interventions. Few posts pertained to advertising or fundraising. These data can help identify areas for improvement of public awareness online, particularly regarding education, support, and fundraising. |
| first_indexed | 2024-03-12T12:39:57Z |
| format | Article |
| id | doaj.art-fe3f20903a7f4e6b938d9f505f757f5a |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T12:39:57Z |
| publishDate | 2023-05-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-fe3f20903a7f4e6b938d9f505f757f5a2023-08-28T23:57:40ZengJMIR PublicationsJournal of Medical Internet Research1438-88712023-05-0125e4209710.2196/42097Cervical Myelopathy and Social Media: Mixed Methods AnalysisLior M Elkaimhttps://orcid.org/0000-0001-7500-8398Jordan J Levetthttps://orcid.org/0000-0002-1999-2017Farbod Niazihttps://orcid.org/0000-0001-9896-1616Mohammed A Alvihttps://orcid.org/0000-0002-7131-079XNathan A Shlobinhttps://orcid.org/0000-0003-2079-6125Joseph R Linzeyhttps://orcid.org/0000-0002-2849-5012Faith Robertsonhttps://orcid.org/0000-0001-7723-9501Rakan Bokharihttps://orcid.org/0000-0003-4157-1830Naif M Alotaibihttps://orcid.org/0000-0002-8227-347XOliver Lasryhttps://orcid.org/0000-0001-9276-9658 BackgroundDegenerative cervical myelopathy (DCM) is a progressive neurologic condition caused by age-related degeneration of the cervical spine. Social media has become a crucial part of many patients’ lives; however, little is known about social media use pertaining to DCM. ObjectiveThis manuscript describes the landscape of social media use and DCM in patients, caretakers, clinicians, and researchers. MethodsA comprehensive search of the entire Twitter application programing interface database from inception to March 2022 was performed to identify all tweets about cervical myelopathy. Data on Twitter users included geographic location, number of followers, and number of tweets. The number of tweet likes, retweets, quotes, and total engagement were collected. Tweets were also categorized based on their underlying themes. Mentions pertaining to past or upcoming surgical procedures were recorded. A natural language processing algorithm was used to assign a polarity score, subjectivity score, and analysis label to each tweet for sentiment analysis. ResultsOverall, 1859 unique tweets from 1769 accounts met the inclusion criteria. The highest frequency of tweets was seen in 2018 and 2019, and tweets decreased significantly in 2020 and 2021. Most (888/1769, 50.2%) of the tweets’ authors were from the United States, United Kingdom, or Canada. Account categorization showed that 668 of 1769 (37.8%) users discussing DCM on Twitter were medical doctors or researchers, 415 of 1769 (23.5%) were patients or caregivers, and 201 of 1769 (11.4%) were news media outlets. The 1859 tweets most often discussed research (n=761, 40.9%), followed by spreading awareness or informing the public on DCM (n=559, 30.1%). Tweets describing personal patient perspectives on living with DCM were seen in 296 (15.9%) posts, with 65 (24%) of these discussing upcoming or past surgical experiences. Few tweets were related to advertising (n=31, 1.7%) or fundraising (n=7, 0.4%). A total of 930 (50%) tweets included a link, 260 (14%) included media (ie, photos or videos), and 595 (32%) included a hashtag. Overall, 847 of the 1859 tweets (45.6%) were classified as neutral, 717 (38.6%) as positive, and 295 (15.9%) as negative. ConclusionsWhen categorized thematically, most tweets were related to research, followed by spreading awareness or informing the public on DCM. Almost 25% (65/296) of tweets describing patients’ personal experiences with DCM discussed past or upcoming surgical interventions. Few posts pertained to advertising or fundraising. These data can help identify areas for improvement of public awareness online, particularly regarding education, support, and fundraising.https://www.jmir.org/2023/1/e42097 |
| spellingShingle | Lior M Elkaim Jordan J Levett Farbod Niazi Mohammed A Alvi Nathan A Shlobin Joseph R Linzey Faith Robertson Rakan Bokhari Naif M Alotaibi Oliver Lasry Cervical Myelopathy and Social Media: Mixed Methods Analysis Journal of Medical Internet Research |
| title | Cervical Myelopathy and Social Media: Mixed Methods Analysis |
| title_full | Cervical Myelopathy and Social Media: Mixed Methods Analysis |
| title_fullStr | Cervical Myelopathy and Social Media: Mixed Methods Analysis |
| title_full_unstemmed | Cervical Myelopathy and Social Media: Mixed Methods Analysis |
| title_short | Cervical Myelopathy and Social Media: Mixed Methods Analysis |
| title_sort | cervical myelopathy and social media mixed methods analysis |
| url | https://www.jmir.org/2023/1/e42097 |
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