Computational protocol: Medical Students as Health Educators at a Student-Run Free Clinic: Improving the Clinical Outcomes of Diabetic Patients

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Protocol publication

[…] We managed our study data using REDCap, a secure, research-oriented, Web-based application. We computed all statistical analyses and data plots using SPSS version 19.0.1 (IBM, Somers, New York) and Prism version 5.0d (GraphPad, La Jolla, California).We described participant characteristics using means and standard deviations (SDs) for continuous measures (age and months between T-0 and T-1) and percentages for nonparametric measures (sex, ethnicity, and race). Using a related-samples Wilcoxon signed rank test, we compared paired A1c values at T-0 and T-1. To examine the relationship between the number of touchpoints and change in A1c values between T-0 and T-1, we used linear regression, and we plotted data with best-fit lines and 95% confidence intervals (CIs). Finally, we described process and outcome measures by percentage of total cohort.For all statistical tests, we considered a P value of less than .05 significant. Using G*Power version 3.1.7, we completed a power analysis to determine the sample size required to detect a meaningful change in A1c values between T-0 and T-1. With 80% power, an α of 5%, and a moderate effect size of 0.5, the minimum required sample size was 35 patients. […]

Pipeline specifications

Software tools SPSS, G*Power
Application Miscellaneous
Organisms Homo sapiens
Diseases Diabetes Mellitus