Patient feedback

Physicians aim to provide optimal care, considering patient experiences and satisfaction. Traditional in-clinic surveys assessing surgical outcomes face limitations, including bias and inadequate inclusion of diverse demographics. Social media is an emerging platform for patients to share their healthcare experiences, providing an alternative method for gathering patient feedback.

A study explores the prevalent themes of moyamoya disease experiences shared on social media.

Posts containing “#moyamoya” and “#moyamoya warrior” from Instagram, TikTok, and Twitter were analyzed. Posts unrelated to patient experiences were excluded. Relevant posts were categorized by themes and analyzed based on the platform, gender, and identity of the poster (patient or someone else). Chi-squared tests determined the significance of theme prevalence.

Of the 1,005 social media posts analyzed, 63.8% were by patients, and 75.0% were by females. Most patients (83.0%) had undergone one surgery. Instagram posts focused on Recovery/Rehabilitation (69.7%), Survival (66.7%), and Spreading Positivity (45.8%), while TikTok posts more frequently discussed Survival (97.2%), Recovery/Rehabilitation (81.3%), and Spreading Positivity (84.1%) (p < 0.001). Females were less likely to post on these themes than males, who discussed religious topics more frequently (p=0.029). Patients discussed appearance (p<0.001), resiliency (p=0.002), and quality of life (p=0.014) more than their loved ones.

This study demonstrates social media's potential to augment traditional methods of obtaining patient feedback, highlighting significant gender- and platform-based differences in shared experiences. Despite limitations, leveraging social media can enhance understanding patient needs, ultimately improving care quality for Moyamoya disease patients 1).

1)
Hou NY, Gajjar AA, Hou E, Barpujari A, Salem MM, Sioutas G, Srinivasan VM, Jankowitz BT, Burkhardt JK. Moyamoya Disease: Understanding Patient Experiences through Thematic Analysis of Instagram, TikTok, and Twitter Posts. J Stroke Cerebrovasc Dis. 2025 Mar 15:108293. doi: 10.1016/j.jstrokecerebrovasdis.2025.108293. Epub ahead of print. PMID: 40096923.