Document Type

Capstone Experience

Graduation Date

5-2024

Degree Name

Master of Public Health

Department

Biostatistics

First Committee Member

Dr. Lynette Smith

Abstract

This study aims to replicate the findings of Sanni et al.'s (2014) research on postoperative complications in bariatric surgery patients. The original research utilized age and BMI stratification and data from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) to identify the relationship between these variables and postoperative complications. The findings of the original study revealed significant associations between age, BMI, and postoperative complications. The replication plan aims to confirm these associations and identify the factors that lead to postoperative complications in patients undergoing bariatric surgery. The replication study proposes a comprehensive plan consisting of three types of analyses: pure replication, measurement and estimation analysis (MEA), and theory of change analysis (TCA). These analyses are designed to validate and expand on the discoveries of the original study.

The pure replication phase is a critical step in the replication process, aiming to reproduce the original analyses accurately. This phase involves performing the statistical tests used in the original study to confirm the significant risk factors identified in the original study. Overall, the pure replication phase ensures the accuracy of the research findings.

Conducting MEA (Measurement and Estimation Analysis) is crucial for ensuring the accuracy and reliability of the findings. Employing alternative methods such as nonparametric tests will provide a more comprehensive analysis and help validate the results obtained in the pure replication phase. It is important to ensure that the conclusions drawn from the original study are robust and can be replicated using different statistical techniques. The concluding step, TCA (Theory of Change Analysis), will broaden the scope of the original study by examining the correlation between wound complications and diabetes status (YES/NO) among patients undergoing bariatric surgery. This analysis will employ Chi-Square tests and logistic regression 3 models to assess the association between diabetes and wound complications among patients undergoing bariatric surgery while accounting for variables including age and BMI.

Through replicating the original study's findings and employing alternative analytical approaches, this research aims to enhance understanding of the determinants influencing postoperative complications among individuals undergoing bariatric surgery. Furthermore, by exploring novel inquiries concerning wound complications in patients with diabetes, this study aspires to inform the establishment of evidence driven protocols for bariatric surgery selection criteria, thereby fostering advancements in patient care and outcomes.

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