Recommendations From the Twitter Hashtag #DoctorsAreDickheads: Qualitative Analysis
| Autor: | Urmimala Sarkar, Jan Bing Del Rosario, Ziva Mann, Roy Cherian, Anjana E. Sharma, Janine Yang |
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| Rok vydání: | 2020 |
| Předmět: |
020205 medical informatics
social media Best practice Health Informatics 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics Twitter messaging 03 medical and health sciences 0302 clinical medicine missed diagnosis Health care 0202 electrical engineering electronic engineering information engineering physician patient relationship Social media 030212 general & internal medicine Original Paper Medical education User profile patient engagement business.industry lcsh:Public aspects of medicine lcsh:RA1-1270 Mental health Content analysis Accountability lcsh:R858-859.7 internet business Psychology Meaning (linguistics) |
| Zdroj: | Journal of Medical Internet Research, Vol 22, Iss 10, p e17595 (2020) Journal of Medical Internet Research |
| ISSN: | 1438-8871 |
| Popis: | Background The social media site Twitter has 145 million daily active users worldwide and has become a popular forum for users to communicate their health care concerns and experiences as patients. In the fall of 2018, a hashtag titled #DoctorsAreDickheads emerged, with almost 40,000 posts calling attention to health care experiences. Objective This study aims to identify common health care conditions and conceptual themes represented within the phenomenon of this viral Twitter hashtag. Methods We analyzed a random sample of 5.67% (500/8818) available tweets for qualitative analysis between October 15 and December 31, 2018, when the hashtag was the most active. Team coders reviewed the same 20.0% (100/500) tweets and the remainder individually. We abstracted the user’s health care role and clinical conditions from the tweet and user profile, and used phenomenological content analysis to identify prevalent conceptual themes through sequential open coding, memoing, and discussion of concepts until an agreement was reached. Results Our final sample comprised 491 tweets and unique Twitter users. Of this sample, 50.5% (248/491) were from patients or patient advocates, 9.6% (47/491) from health care professionals, 4.3% (21/491) from caregivers, 3.7% (18/491) from academics or researchers, 1.0% (5/491) from journalists or media, and 31.6% (155/491) from non–health care individuals or other. The most commonly mentioned clinical conditions were chronic pain, mental health, and musculoskeletal conditions (mainly Ehlers-Danlos syndrome). We identified 3 major themes: disbelief in patients’ experience and knowledge that contributes to medical errors and harm, the power inequity between patients and providers, and metacommentary on the meaning and impact of the #DoctorsAreDickheads hashtag. Conclusions People publicly disclose personal and often troubling health care experiences on Twitter. This adds new accountability for the patient-provider interaction, highlights how harmful communication affects diagnostic safety, and shapes the public’s viewpoint of how clinicians behave. Hashtags such as this offer valuable opportunities to learn from patient experiences. Recommendations include developing best practices for providers to improve communication, supporting patients through challenging diagnoses, and promoting patient engagement. |
| Databáze: | OpenAIRE |
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