Related Experiment Videos
Predictors of dropouts from a San Diego diabetes program: a case control study
Stephen R Benoit1, Ming Ji, Regina Fleming
1UCSD-SDSU Preventive Medicine Residency, University of California, San Diego Department of Family and Preventive Medicine, La Jolla, USA. bvy8@cdc.gov
Preventing Chronic Disease
|January 27, 2005
Summary
Patients with type 2 diabetes who had high blood pressure, elevated hemoglobin A1c, and a history of smoking were more likely to drop out of a San Diego diabetes management program.
Area of Science:
- Clinical Research
- Public Health
- Diabetes Management
Background:
- Diabetes affects a significant portion of the low-income, multiethnic population in San Diego.
- Underserved diabetic populations often face barriers to consistent disease management.
- Nurse-based programs aim to improve diabetes care for vulnerable groups.
Purpose of the Study:
- To identify demographic, treatment, clinical, and behavioral factors linked to patient dropout.
- To understand reasons for attrition in a specific diabetes management program.
- To inform strategies for reducing patient dropout in similar programs.
Main Methods:
- Retrospective analysis of data from Project Dulce, a San Diego-based diabetes program.
- Inclusion of 69 cases and 504 controls with type 2 diabetes.
- Logistic regression analysis to determine factors associated with dropout.
Main Results:
- Patients with higher blood pressure and hemoglobin A1c levels were more likely to drop out.
- Current and past smokers showed a higher likelihood of program attrition.
- Clinical indicators and smoking status emerged as significant predictors of dropout.
Conclusions:
- The study identified key markers for patient dropout in a low-income, multiethnic type 2 diabetes population.
- Understanding these dropout factors is crucial for improving patient retention.
- Further investigation into specific dropout reasons can help prevent cohort loss and enhance program effectiveness.