Predictors of Dropouts From a San Diego Diabetes Program: A Case Control Study

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  Benoit, Stephen R. ; Ji, Ming ; Fleming, Regina ; Philis-Tsimikas, Athena
• Description:
  Introduction ; The objective of this study was to determine the demographic, treatment, clinical, and behavioral factors associated with dropping out of a nurse-based, low-income, multiethnic San Diego diabetes program. ; Methods ; Data were collected during a 17-month period in 2000 and 2002 on patients with type 2 diabetes from Project Dulce, a disease management program in San Diego County designed to care for an underserved diabetic population. The study sample included 69 cases and 504 controls representing a racial/ethnic mix of 53% Hispanic, 7% black, 16% Asian, 22% white, and 2% other. Logistic regression was used to determine factors associated with patient dropout. ; Results ; Patients who had high initial clinical indicators including blood pressure and hemoglobin A1c and those who smoked currently or smoked in the past were more likely to drop out of the diabetes program. ; Conclusion ; This study provides markers of patient dropout in a low-income, multiethnic, type 2 diabetic population. Reasons for dropout in this program can be investigated to prevent further cohort loss.
• Subjects:
  • Academies and Institutes
  • Case-Control Studies
  • Community Health Planning
  • Community-Institutional Relations
  • Comorbidity
  • Databases, Factual
  • Diabetes Mellitus, Type 2
  • Ethnicity
  • Health Education
  • Hemoglobin A, Glycosylated
  More +
• Source:
  Prev Chronic Dis. 2004; 1(4).
• ISSN:
  1545-1151
• Document Type:
  Journal Article
• Place as Subject:
  California
• Location:
  North America
• Volume:
  1
• Issue:
  4
• Download URL:
  https://stacks.cdc.gov/view/cdc/4069/cdc_4069_DS1.pdf
• File Type:
  [PDF - 263.85 KB]
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:47ae7c33933ffc11133a413435a6807e7dd439f3e632f7f32297ae4bbb3dfd9625646bd591e01d8cb3ca636d28ac64b73eb6e8e26c78165b289e97da5ec3d365