Who Tweets About Diabetic Foot on Twitter and Which Tweets Are More Attractive?

Karahan, İrfan; Yürekli, Aybüke; Özcömert, Ömer Recep; Oktaş, Birhan; Çi̇fci̇, Aydın

doi:10.1177/1534734620912942

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…We used user-generated health data from the social network Twitter for 2 reasons: first, research has demonstrated the active use of Twitter among members of different patient communities who share their disease experiences, for example, cancer survivors [ 17 - 21 ], patients with diabetes [ 22 ], people with autism [ 23 ], and people with psoriasis [ 24 ]. Second, health surveillance researchers have demonstrated the usefulness of public Twitter data to understand public and patient perspectives on a range of diseases and health topics, such as COVID-19, influenza, schizophrenia, smoking, HIV, and patient safety [ 25 - 32 ].…”

Section: Introductionmentioning

confidence: 99%

Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study

Reuter¹,

Angyan²,

Le³

et al. 2021

JMIR Form Res

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Background Failure to find and attract clinical trial participants remains a persistent barrier to clinical research. Researchers increasingly complement recruitment methods with social media–based methods. We hypothesized that user-generated data from cancer survivors and their family members and friends on the social network Twitter could be used to identify, engage, and recruit cancer survivors for cancer trials. Objective This pilot study aims to examine the feasibility of using user-reported health data from cancer survivors and family members and friends on Twitter in Los Angeles (LA) County to enhance clinical trial recruitment. We focus on 6 cancer conditions (breast cancer, colon cancer, kidney cancer, lymphoma, lung cancer, and prostate cancer). Methods The social media intervention involved monitoring cancer-specific posts about the 6 cancer conditions by Twitter users in LA County to identify cancer survivors and their family members and friends and contacting eligible Twitter users with information about open cancer trials at the University of Southern California (USC) Norris Comprehensive Cancer Center. We reviewed both retrospective and prospective data published by Twitter users in LA County between July 28, 2017, and November 29, 2018. The study enrolled 124 open clinical trials at USC Norris. We used descriptive statistics to report the proportion of Twitter users who were identified, engaged, and enrolled. Results We analyzed 107,424 Twitter posts in English by 25,032 unique Twitter users in LA County for the 6 cancer conditions. We identified and contacted 1.73% (434/25,032) of eligible Twitter users (127/434, 29.3% cancer survivors; 305/434, 70.3% family members and friends; and 2/434, 0.5% Twitter users were excluded). Of them, 51.4% (223/434) were female and approximately one-third were male. About one-fifth were people of color, whereas most of them were White. Approximately one-fifth (85/434, 19.6%) engaged with the outreach messages (cancer survivors: 33/85, 38% and family members and friends: 52/85, 61%). Of those who engaged with the messages, one-fourth were male, the majority were female, and approximately one-fifth were people of color, whereas the majority were White. Approximately 12% (10/85) of the contacted users requested more information and 40% (4/10) set up a prescreening. Two eligible candidates were transferred to USC Norris for further screening, but neither was enrolled. Conclusions Our findings demonstrate the potential of identifying and engaging cancer survivors and their family members and friends on Twitter. Optimization of downstream recruitment efforts such as screening for digital populations on social media may be required. Future research could test the feasibility of the approach for other diseases, locations, languages, social media platforms, and types of research involvement (eg, survey research). Computer science methods could help to scale up the analysis of larger data sets to support more rigorous testing of the intervention. Trial Registration ClinicalTrials.gov NCT03408561; https://clinicaltrials.gov/ct2/show/NCT03408561

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Section: Introductionmentioning

confidence: 99%

Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study

Reuter¹,

Angyan²,

Le³

et al. 2021

JMIR Form Res

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“…Karahan et al 10 inform us that Twitter may prove useful as a tool for accurate information on the diabetic foot. This holds especially true for health care professionals wishing to increase public awareness.…”

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confidence: 99%

“…This holds especially true for health care professionals wishing to increase public awareness. 10 In a surgical viewpoint, Bali et al 11 emphasize the continuity of the recipient artery and its importance for cross-leg free flaps. Ozturk et al 12 analyze coldness, ecchymosis, and related symptoms among subjects with peripheral varicose veins.…”

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confidence: 99%

Autumn Issue With Gathering Swallows in the Skies

Παπάνας

Papi²

2020

The International Journal of Lower Extremity Wounds

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The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media

et al. 2021

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Objectives During the COVID-19 pandemic, much communication occurred online, through social media. This study aimed to provide patient perspective data on how the COVID-19 pandemic impacted people with rheumatic and musculoskeletal diseases (RMDs), using Twitter-based patient-generated health data (PGHD). Methods A convenience sample of Twitter messages in English posted by people with RMDs was extracted between March 1, and July 12, 2020 and examined using thematic analysis. Included were Twitter messages that mentioned keywords and hashtags related to both COVID-19 (or SARS-CoV-2) and select RMDs. The RMDs monitored included inflammatory-driven (joint) conditions (Ankylosing Spondylitis, Rheumatoid Arthritis, Psoriatic Arthritis, Lupus/Systemic Lupus Erythematosus, and Gout). Results The analysis included 569 tweets by 375 Twitter users with RMDs across several countries. Eight themes emerged regarding the impact of the COVID-19 pandemic on people with RMDs: (1) lack of understanding of SARS-CoV-2/COVID-19; (2) critical changes in health behaviour; (3) challenges in healthcare practice and communication with healthcare professionals; (4) difficulties with access to medical care; (5) negative impact on physical and mental health, coping strategies; (6) issues around work participation, (7) negative effects of the media; (8) awareness-raising. Conclusion The findings show that Twitter serves as a real-time data source to understand the impact of the COVID-19 pandemic on people with RMDs. The platform provided “early signals” of potentially critical health behaviour changes. Future epidemics might benefit from the real-time use of Twitter-based PGHD to identify emerging health needs, facilitate communication, and inform clinical practice decisions.

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Who Tweets About Diabetic Foot on Twitter and Which Tweets Are More Attractive?

Cited by 4 publications

References 15 publications

Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study

Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study

Autumn Issue With Gathering Swallows in the Skies

The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media

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