RESUMO
Objective: To survey the social media outlets Twitter and Instagram for public posts related to adenoidectomy surgery. This study aims to investigate the attitudes and perceptions of patients and caregivers on social media, through thematic content-analysis of social media posts regarding adenoidectomy. Study Design: Non-real world qualitative study. Setting: Twitter and Instagram social media platforms. Methods: Public posts uploaded between February, 2021 and February, 2023 using the hashtags "#adenoidectomy," and "#adenoidectomyrecovery" were searched. Posts were excluded if they were unrelated to adenoidectomy or were in a non-English language. Relevant posts were stratified demographically as patient or caregiver and pre- or postoperative, and categorized into relevant themes for analysis. Outcomes were measured as the total number of posts. Results: A total of 394 relevant posts were analyzed. A significance threshold of P < 0.05 was used. Patients posted significantly more posts regarding procedure pain (P = 0.002) and concern for appearance (P = 0.048) compared to caregivers. Caregivers posted significantly (P < 0.001) more posts regarding condition awareness and were significantly (P < 0.001) more likely to spread positivity in their posts compared to patients themselves. Posts made by female caregivers were more likely to reference fear, while those made by male caregivers were more likely to provide education (P = 0.002). Conclusion: Patients may worry about appearance and mental health while caregivers are more likely to spread information and positivity. Male and female caregivers may also use social media differently. A better understanding of patient and caregiver concerns may optimize physician interaction and involvement.
RESUMO
BACKGROUND AND OBJECTIVES: The Internet has become a primary source of health information, leading patients to seek answers online before consulting health care providers. This study aims to evaluate the implementation of Chat Generative Pre-Trained Transformer (ChatGPT) in neurosurgery by assessing the accuracy and helpfulness of artificial intelligence (AI)-generated responses to common postsurgical questions. METHODS: A list of 60 commonly asked questions regarding neurosurgical procedures was developed. ChatGPT-3.0, ChatGPT-3.5, and ChatGPT-4.0 responses to these questions were recorded and graded by numerous practitioners for accuracy and helpfulness. The understandability and actionability of the answers were assessed using the Patient Education Materials Assessment Tool. Readability analysis was conducted using established scales. RESULTS: A total of 1080 responses were evaluated, equally divided among ChatGPT-3.0, 3.5, and 4.0, each contributing 360 responses. The mean helpfulness score across the 3 subsections was 3.511 ± 0.647 while the accuracy score was 4.165 ± 0.567. The Patient Education Materials Assessment Tool analysis revealed that the AI-generated responses had higher actionability scores than understandability. This indicates that the answers provided practical guidance and recommendations that patients could apply effectively. On the other hand, the mean Flesch Reading Ease score was 33.5, suggesting that the readability level of the responses was relatively complex. The Raygor Readability Estimate scores ranged within the graduate level, with an average score of the 15th grade. CONCLUSION: The artificial intelligence chatbot's responses, although factually accurate, were not rated highly beneficial, with only marginal differences in perceived helpfulness and accuracy between ChatGPT-3.0 and ChatGPT-3.5 versions. Despite this, the responses from ChatGPT-4.0 showed a notable improvement in understandability, indicating enhanced readability over earlier versions.