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应用机器学习确定社交媒体上关于隆颏术的热门患者问题。

Applying Machine Learning to Determine Popular Patient Questions About Mentoplasty on Social Media.

作者信息

Patel Rushi, Tseng Christopher C, Choudhry Hannaan S, Lemdani Mehdi S, Talmor Guy, Paskhover Boris

机构信息

Department of Otolaryngology - Head and Neck Surgery, Rutgers New Jersey Medical School, 90 Bergen St., Suite 8100, Newark, NJ, 07103, USA.

出版信息

Aesthetic Plast Surg. 2022 Oct;46(5):2273-2279. doi: 10.1007/s00266-022-02808-8. Epub 2022 Feb 24.

DOI:10.1007/s00266-022-02808-8
PMID:35201377
Abstract

PURPOSE

Patient satisfaction in esthetic surgery often necessitates synergy between patient and physician goals. The authors aim to characterize patient questions before and after mentoplasty to reflect the patient perspective and enhance the physician-patient relationship.

METHODS

Mentoplasty reviews were gathered from Realself.com using an automated web crawler. Questions were defined as preoperative or postoperative. Each question was reviewed and characterized by the authors into general categories to best reflect the overall theme of the question. A machine learning approach was utilized to create a list of the most common patient questions, asked both preoperatively and postoperatively.

RESULTS

A total of 2,012 questions were collected. Of these, 1,708 (84.9%) and 304 (15.1%) preoperative and postoperative questions, respectively. The primary category for patients preoperatively was "eligibility for surgery" (86.3%), followed by "surgical techniques and logistics" (5.4%) and "cost" (5.4%). Of the postoperative questions, the most common questions were about "options to revise surgery" (44.1%), "symptoms after surgery" (27.0%), and "appearance" (26.3%). Our machine learning approach generated the 10 most common pre- and postoperative questions about mentoplasty. The majority of preoperative questions dealt with potential surgical indications, while most postoperative questions principally addressed appearance.

CONCLUSIONS

The majority of mentoplasty patient questions were preoperative and asked about eligibility of surgery. Our study also found a significant proportion of postoperative questions inquired about revision, suggesting a small but nontrivial subset of patients highly dissatisfied with their results. Our 10 most common preoperative and postoperative question handout can help better inform physicians about the patient perspective on mentoplasty throughout their surgical course. Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

摘要

目的

美容手术中的患者满意度通常需要患者目标与医生目标之间的协同作用。作者旨在描述隆颏术前后患者的问题,以反映患者的观点并加强医患关系。

方法

使用自动网络爬虫从Realself.com收集隆颏术评论。问题被定义为术前或术后问题。作者对每个问题进行审查并归类到一般类别中,以最好地反映问题的总体主题。采用机器学习方法创建术前和术后最常见的患者问题列表。

结果

共收集到2012个问题。其中,术前问题1708个(84.9%),术后问题304个(15.1%)。患者术前的主要问题类别是“手术资格”(86.3%),其次是“手术技术和安排”(5.4%)和“费用”(5.4%)。术后问题中,最常见的是关于“手术修复选择”(44.1%)、“术后症状”(27.0%)和“外观”(26.3%)。我们的机器学习方法生成了隆颏术术前和术后最常见的10个问题。大多数术前问题涉及潜在的手术适应症,而大多数术后问题主要关注外观。

结论

大多数隆颏术患者问题是术前问题,询问手术资格。我们的研究还发现相当一部分术后问题是关于修复的,这表明有一小部分但并非微不足道的患者对手术结果非常不满意。我们列出的术前和术后最常见的10个问题清单有助于医生在整个手术过程中更好地了解患者对隆颏术的看法。证据级别V 本刊要求作者为每篇文章指定证据级别。有关这些循证医学评级的完整描述,请参阅目录或在线作者指南www.springer.com/00266 。

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The "RealSelf Effect": Can Patient Reviews on Social Media Impact Clinic Volume?“真实自我效应”:社交媒体上的患者评价能影响诊所的就诊量吗?
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Quality Assessment of Online Information on Body Contouring Surgery in Postbariatric Patient.
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Plast Reconstr Surg. 2019 Feb;143(2):631-632. doi: 10.1097/PRS.0000000000005206.
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