An observational study in Body Dysmorphic Disorder, sponsored by Bukret Plastic Surgery. Completed at 1 site in Argentina. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-09-04.
Sponsored by Bukret Plastic Surgery · Observational
The goal of this observational study is to evaluate the effectiveness of an AI-powered screening tool for Body Dysmorphic Disorder (BDD) among patients seeking aesthetic surgery. The study aims to determine if the AI system can effectively identify patients at risk for BDD and assess the impact of early psychological intervention on surgical decision-making and outcomes. Participants will complete a comprehensive AI-based risk assessment, which includes the Body Dysmorphic Disorder Questionnaire (BDDQ). The study will track the correlation between BDD, age, stress levels, and gender to better understand the prevalence and implications of BDD in cosmetic surgery.
This observational study evaluates an AI-powered screening tool for Body Dysmorphic Disorder (BDD) in patients seeking elective aesthetic surgery. The study is designed to assess the effectiveness of the AI system in identifying individuals at risk for BDD, facilitating timely psychological interventions, and improving surgical outcomes.
Study Overview:
Study Population and Inclusion Criteria: Patients aged 18 and older seeking elective cosmetic surgery at a solo practice are included. All participants complete a comprehensive AI-based risk assessment, which includes the Body Dysmorphic Disorder Questionnaire (BDDQ) integrated within the AI system.
AI-Based Risk Assessment: The AI system utilizes data from the BDDQ, along with demographic and psychological factors, to generate a risk score for BDD. This risk score informs the clinical decision-making process, particularly in determining the eligibility for surgery and the need for psychological intervention.
Data Collection and Management: Data is collected through a secure online platform where participants complete the necessary questionnaires. The AI system analyzes the data to generate individualized risk profiles. The study implements rigorous quality assurance processes, including automated data validation checks and source data verification, to ensure the reliability and accuracy of the data.
Statistical Analysis: The study employs correlation analysis to explore the relationships between BDD, age, gender, and stress levels. Chi-square tests are used to assess the statistical significance of differences between demographic groups. The analysis plan includes handling missing data through imputation techniques and conducting sensitivity analyses to validate the robustness of the findings.
Outcome Measures: Primary outcomes include the prevalence of BDD among the study population and the correlations between BDD and key demographic factors. Secondary outcomes focus on the effectiveness of the AI system in enhancing surgical decision-making and improving patient satisfaction.
Ethical Considerations: The study adheres to ethical guidelines, including obtaining informed consent from all participants and anonymizing data to protect privacy. The study is conducted in accordance with the Declaration of Helsinki, and institutional review board approval was deemed unnecessary due to the non-invasive nature of the screening.
Study Limitations: The study acknowledges potential limitations, including the relatively small number of patients who proceeded with surgery, which may affect the generalizability of the findings. Further research is recommended to explore the AI system\'s effectiveness across diverse populations and clinical settings.
56 studies on the registry are indexed under Body Dysmorphic Disorders; 11 are open to participants now.
This study's enrollment of 3,722 is above the median of 150 across 11 observational studies indexed under Body Dysmorphic Disorders.
Browse Body Dysmorphic Disorders studies →Bukret Plastic Surgery is the lead sponsor of 2 studies on the registry; none are open to participants now.
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The study population includes individuals aged 18 years or older who are seeking elective cosmetic surgery at a private practice in Buenos Aires, Argentina. All participants are required to complete an AI-based Body Dysmorphic Disorder (BDD) screening questionnaire as part of the preoperative evaluation. The study aims to assess the prevalence of BDD and its correlation with various risk factors within this population.
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Exclusion Criteria:
This cohort consists of patients aged 18 years or older who are undergoing elective cosmetic surgery. All participants in this group have undergone an AI-powered Body Dysmorphic Disorder (BDD) screening, which includes the completion of the Body Dysmorphic Disorder Questionnaire (BDDQ) and additional psychological evaluations. The AI system provides a risk assessment for BDD, guiding the surgical decision-making process and identifying patients who may require psychological intervention before proceeding with surgery.
Procedure: AI-Powered Body Dysmorphic Disorder Screening Procedure
The AI-Powered Body Dysmorphic Disorder Screening Procedure involves using an AI tool to evaluate patients for Body Dysmorphic Disorder (BDD) before undergoing elective cosmetic surgery. The screening integrates the Body Dysmorphic Disorder Questionnaire (BDDQ) with additional psychological assessments. The AI system processes the collected data to produce a risk score, guiding surgeons in making informed decisions about the need for psychological evaluation or intervention, and determining the suitability of patients for surgery.
Prevalence of Body Dysmorphic Disorder (BDD) Among Cosmetic Surgery Patients
This outcome measure assesses the prevalence of BDD among patients undergoing cosmetic surgery, as identified through the AI-powered screening tool.
Time frame: From 1 to 43 months post-surgery (January 2021 to August 2024)
Correlation Between Positive BDD Screening and Risk Factors
This measure evaluates the correlation between a positive Body Dysmorphic Disorder (BDD) screening result and various risk factors, including demographic factors (age, gender), psychological stress levels, and previous psychiatric history. The goal is to identify patterns that could inform better patient selection and management in cosmetic surgery.
Time frame: From 1 to 43 months post-surgery (January 2021 to August 2024)
PDFs hosted by the registry, ClinicalTrials.gov.
Plan to share: Yes — Individual participant data (IPD) that underlie the results reported in this study will be shared after de-identification. Data will be available to other researchers upon reasonable request, subject to approval by the principal investigator, Dr. Williams Erik Bukret. The data will be shared through a secure data-sharing platform.
Supporting information: Study protocol, Statistical analysis plan
Time frame: IPD and supporting information will be available starting 6 months after publication of the study results and will remain available for 1 year.
Access criteria: IPD and supporting information will be available to researchers who provide a methodologically sound proposal, which must be approved by the principal investigator, Dr. Williams Erik Bukret. Access will be granted for the purpose of academic research, and the data will be shared through a secure data-sharing platform upon request.
Data sharing details ↗ · drbukret.com
This study is completed, as verified in Aug 2024. You cannot join it, but the record below documents what was studied.
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