Cotton Adam C, Bell R B, Jinnah H A
Departments of Neurology, Human Genetics and Pediatrics, Emory University, Atlanta, GA, USA.
JIMD Rep. 2018;41:25-27. doi: 10.1007/8904_2017_80. Epub 2017 Dec 15.
Treatment recommendations for rare disorders often are limited by a lack of data from objective clinical trials. As a result, recommendations are often based on expert opinion. Because expert opinions sometimes conflict, many patients turn to the Internet for guidance from others who may have tried a treatment. The increasing numbers of patients and families who post opinions regarding outcomes allow for systematic data collection regarding specific treatments from the patient perspective. We used social media research methods to determine the opinions of family members or other caregivers regarding permanent removal of teeth for treatment of self-injurious biting (SIB) in patients with Lesch-Nyhan disease (LND), a particularly difficult treatment decision where expert opinion is divided. A content analysis of social media postings was used to systematically interpret caregiver posts about tooth extraction from families and other caregivers of patients with LND who posted comments regarding physical or emotional well-being after tooth extraction. A scale was used to rate all posted opinions. Scores ranged from 1 to 5, with 1 being completely negative and 5 being completely positive. 170 comments from 46 unique individuals were collected and scored by two raters. Inter-rater reliability, determined using a correlation coefficient across all postings, was 0.85, suggesting a high degree of reliability. The overall average caregiver sentiment score was 4.86, which is an overwhelmingly positive endorsement of tooth extraction as a means for controlling SIB. These methods provide a simple strategy for recommending treatment strategies based on real-world experience when objective clinical trials are unviable.
罕见疾病的治疗建议往往因缺乏客观临床试验数据而受到限制。因此,这些建议通常基于专家意见。由于专家意见有时相互冲突,许多患者会转向互联网,寻求其他尝试过某种治疗方法的人的指导。越来越多的患者和家属发布有关治疗结果的意见,这使得从患者角度对特定治疗方法进行系统的数据收集成为可能。我们采用社交媒体研究方法,以确定家庭成员或其他护理人员对于患有莱施-尼汉病(LND)的患者为治疗自伤性咬唇行为(SIB)而拔除恒牙的看法,这是一个特别棘手的治疗决策,专家意见存在分歧。通过对社交媒体帖子进行内容分析,系统解读了LND患者的家属和其他护理人员发布的关于拔牙后身体或情绪状况的帖子。使用一个量表对所有发布的意见进行评分。分数范围为1至5分,1分为完全负面,5分为完全正面。两名评分者对46位不同个体的170条评论进行了收集和评分。通过计算所有帖子的相关系数来确定评分者间信度,结果为0.85,表明信度很高。护理人员的总体平均情绪评分为4.86,这是对拔牙作为控制SIB手段的压倒性积极认可。当客观的临床试验不可行时,这些方法提供了一种基于实际经验推荐治疗策略的简单方法。