Changes in the Indices of Body Image Concern, Sexual Self-Esteem and Sexual Body Image in Females Undergoing Cosmetic Rhinoplasty: A Single-Group Trial

A machine learning analysis of patient concerns regarding mastopexy

BACKGROUND

Social media plays an important role in connecting patients and plastic surgeons. We utilized patient inquiries regarding mastopexy from an online social media site to determine the most prevalent patient concerns, while employing a machine-learning algorithm to generate the questions representative of the dataset.

OBJECTIVE

This data allow plastic surgeons to better tailor their preoperative consultations to address common concerns, set realistic expectations, and improve overall satisfaction.

METHODS

A total of 2,011 inquiries from the mastopexy section of Realself.com were obtained using an open-source web crawler. Each inquiry was manually categorized as preoperative or postoperative and classified into subcategories based upon the free text entry. Lastly, questions were analyzed using machine learning to determine ten questions most representative of the inquiry pool.

RESULTS

Of the 2,011 inquiries analyzed, 52.91% were preoperative and 47.09% were postoperative. Most preoperative questions asked about procedure eligibility (309, 29.04%), surgical techniques and logistics (260, 24.44%), and the best type of breast lift for the user (259, 24.34%). Among postoperative questions, questions regarding appearance were the most common (491, 51.85%), followed by symptoms after surgery (197, 19.75%) and behavior allowed/disallowed (145, 15.31%). Appearance was further subcategorized with the most common categories being appearance of the nipple (98, 19.86%), skin discoloration (88, 17.92%), and scarring (74, 15.07%).

CONCLUSION

By utilizing the data that social media websites, like Realself.com, provide, plastic surgeons can better understand common patient concerns. This data aid in optimizing the preoperative consultation process to address the common concerns, recalibrate unrealistic expectations, and improve overall satisfaction.

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

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 .

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

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 .

Factors Involved in the Decision of Iranian Men to Undergo Rhinoplasty: A Grounded Theory Study

Undergoing a rhinoplasty can affect an individual's mental health either positively or negatively, depending upon how he or she perceives the results. Because of the impact that rhinoplasty may have on an individual's mental health and the cost of this surgery, it is important to understand the reasons that men decide to undergo rhinoplasty and the challenges they face when making the decision to have a rhinoplasty. Using a grounded theory method, we collected data by conducting interviews with 20 participants. We analyzed the data and initially obtained 684 initial codes. After we removed duplicate codes and carefully analyzed participants' interviews, a total of 497 codes remained. We developed these codes into 10 main categories and 32 subcategories. We found that the causal factors affecting the decision of Iranian men to undergo rhinoplasty included the following 5 categories: a lack of confidence; a desire to improve their appearance; a desire for attention from others; a need to keep up with the Joneses (i.e., a desire to show that one is as good as other people by getting what others have and doing what others do); and persuasion by others. Intervening factors affecting the decision of Iranian men to undergo rhinoplasty included the following 4 categories: family challenge; social atmosphere; financial problems; and unwanted consequences. Iranian men make the decision to undergo rhinoplasty by overcoming and ignoring these intervening factors. The primary variable in participants' decision to undergo rhinoplasty was the desire to improve their appearance.

Role of Attitude, Body Image, Satisfaction and Socio-Demographic Variables in Cosmetic Surgeries of Iranian Students

BACKGROUND

Nowadays, cosmetic surgery is one of the most common types of surgeries all around the world including Iran and those demanding such surgeries are also growing in number. The present study is an attempt to determine the factors in the tendency towards cosmetic surgery in Iranian students.

METHODS

In a descriptive-analytical study, all students at Guilan University of Medical Sciences related to health issues were enrolled. The participants (n=314) were selected through census sampling. Data was garnered using a multi-section questionnaire including socio-demographic variables, body image, body satisfaction, and cosmetic surgery intention. The questionnaires were completed as self-statement.

RESULTS

The age range of the students was 18-55 years and the mean age was 25.07±7.41 years. Body mass index (BMI) of the participants was 23±3.82. Among socio-demographic variables, BMI, gender, family revenue, father’s job, marital status, mother’s job, and fathers’ literacy level were the predictors of intention for cosmetic surgery. In addition, among psychological variables, body satisfaction and image, and attitudes were predictors of intention for cosmetic surgery.

CONCLUSION

Educational and psychological interventions are recommended to create body satisfaction, to develop positive attitudes toward one’s body, and to develop negative attitudes toward cosmetic surgery and the side effects. Apparently, providing an environment for physical activity and exercise, especially for girls would help the students in losing weight, remaining in shape and attenuating the tendency toward cosmetic surgery.