====== Patient feedback ======

{{rss>https://pubmed.ncbi.nlm.nih.gov/rss/search/1v3eTtpZg0PyGZzhHOmaVuIMuhpcL5TYR24wmh5xJuUB4ilgpt/?limit=15&utm_campaign=pubmed-2&fc=20250318055638}}

[[Physician]]s aim to provide optimal [[care]], considering patient [[experience]]s and [[satisfaction]]. Traditional in-clinic [[survey]]s assessing surgical [[outcome]]s face [[limitation]]s, 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
((Hou NY, Gajjar AA, Hou E, Barpujari A, Salem MM, Sioutas G, Srinivasan VM, Jankowitz BT, Burkhardt JK. [[Moyamoya Disease]]: Understanding Patient [[Experience]]s 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.)).