Literature DB >> 33723644

Characterizing Patient Questions Before and After Rhinoplasty on Social Media: A Big Data Approach.

Christopher C Tseng1, Jeff Gao1, Guy Talmor1, Boris Paskhover2,3.   

Abstract

BACKGROUND: As an aesthetic surgery, a successful rhinoplasty is often assessed by patient satisfaction, subject to a diverse array of qualitative factors including patient expectations and happiness with care provided. While substantial effort has been dedicated to understanding patients' post-operative concerns, addressing patients' pre-operative questions has been comparatively less studied. This study analysed pre- and post-operative questions about rhinoplasty on social media to gain insights into patients' concerns and develop targeted educational material.
METHODS: The most viewed rhinoplasty questions on Realself.com, a social media platform for discussions about cosmetic surgeries, were collected and analysed. Questions were then stratified into pre- and post-operative and further assigned categories based on common topics found in the data. Using a machine learning approach, the most common pre- and post-operative questions were determined.
RESULTS: 2014 rhinoplasty questions were collected in total, with 957 pre-operative and 1057 post-operative. The most commonly asked pre-operative questions were about appearance (n = 441, 46.1%), function (n = 102, 10.7%), and cost (n = 94, 9.8%). The most commonly asked post-operative questions were about appearance (n = 502, 47.5%), behaviour allowed/disallowed (n = 283, 26.8%), and symptoms after surgery (n = 235, 22.2%). An educational handout with the 10 most common pre- and post-operative questions was developed using machine learning analysis, with the majority of questions about appearance.
CONCLUSIONS: Patients primarily expressed concern about appearance when asking questions about rhinoplasty on social media, along with other aspects of their pre- and post-operative course. The educational handout developed by this study can be applied to address commonly asked patient questions during pre-operative education. 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 .
© 2021. Springer Science+Business Media, LLC, part of Springer Nature and International Society of Aesthetic Plastic Surgery.

Entities:  

Keywords:  Machine learning; Patient education; Patient satisfaction; Pre-operative planning; Rhinoplasty; Social media

Mesh:

Year:  2021        PMID: 33723644     DOI: 10.1007/s00266-021-02203-9

Source DB:  PubMed          Journal:  Aesthetic Plast Surg        ISSN: 0364-216X            Impact factor:   2.326


  3 in total

1.  Readability of Online Materials for Rhinoplasty.

Authors:  Pauline Joy F Santos; David A Daar; Keyianoosh Z Paydar; Garrett A Wirth
Journal:  World J Plast Surg       Date:  2018-01

2.  Satisfaction in Patients After Rhinoplasty Using the Rhinoplasty Outcome Evaluation Questionnaire.

Authors:  Nasir Khan; Mamoon Rashid; Ibrahim Khan; Saad Ur Rehman Sarwar; Haroon Ur Rashid; Mariam Khurshid; Usama Khalid Choudry; Noor Fatima
Journal:  Cureus       Date:  2019-07-30

3.  A Comparison of Doctor/Patient Satisfaction with Aesthetic Outcomes of Rhinoplasty: a Prospective Study.

Authors:  Fatemeh Rezaei; Farzad Rezaei; Hoshyar Abbasi; Hamed Moradi
Journal:  J Med Life       Date:  2019 Oct-Dec
  3 in total

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