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Evaluating Outcomes Related to Diabetes in Toledo-Lucas County CareNet Patients

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2010, Master of Science, University of Toledo, Pharmaceutical Science.
Diabetes is a leading cause of morbidity and mortality in the United States. The American Diabetes Association has put forth guidelines to screen and prevent the progression of diabetes. However, lack of access to adequate health care can hinder treatment options for individuals diagnosed with diabetes. A number of organizations help uninsured individuals by providing access to health care. Toledo Lucas County CareNet has provided healthcare access to uninsured residents since 2003. The presented study focused on evaluating outcomes related specifically to CareNet members diagnosed with diabetes. The objectives of this study were to determine the percentage of patients with Type 2 diabetes that reached ADA recommended guidelines in A1c, blood pressure (Systolic and Diastolic) values, and lipid levels (HDL and LDL), and to determine the factors related to goal attainment. The factors studied were age, gender, race/ethnicity, height, weight, tobacco use, and pharmacotherapy. The study design was a retrospective chart review. Patient charts of Toledo Lucas County CareNet clients were reviewed. Data were collected from three major health systems in Toledo, Ohio, where CareNet members receive medical services. The results showed 179 patients met the inclusion criteria out of 712 charts reviewed from the three respective health centers. Goal attainment was observed in all clinical markers. About 62% of CareNet members in the study met goal in A1c, 60% of members met goal in systolic blood pressure, and 75% met goal in diastolic blood pressure. In regard to HDL, 40% of men met goal compared to 77% of women. Over 51% of members met goal in LDL value. T-test results for changes in A1c were significant for participants greater than 40 years of age compared to those less than 40 years of age. Similarly, ANOVA results showed significant results for changes in A1c in African Americans compared to other races. The regression analysis model explained about 21% of variance, and age was estimated to be the strongest predictor for A1c improvement. The findings for regression analysis were statistically significant at p=0.036. The overall model for diastolic blood pressure was R=0.281, p=0.013, which means that about 28% of variance was explained by the model. Gender and age were estimated to be significant predictors for diastolic blood pressure improvement. Males showed lower improvement in diastolic blood pressure compared to females. Results obtained in this study were consistent with the previous literature. In conclusion, the ADA guidelines for goal attainment for A1c, blood pressure values and lipid levels were met by the majority of CareNet patients with diabetes.
Monica Holiday-Goodman, PhD (Committee Chair)
Varun Vaidya, PhD (Committee Member)
Gregory Stone, PhD (Committee Member)

Recommended Citations

Citations

  • Nagi, A. (2010). Evaluating Outcomes Related to Diabetes in Toledo-Lucas County CareNet Patients [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1282240225

    APA Style (7th edition)

  • Nagi, Avishek. Evaluating Outcomes Related to Diabetes in Toledo-Lucas County CareNet Patients. 2010. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1282240225.

    MLA Style (8th edition)

  • Nagi, Avishek. "Evaluating Outcomes Related to Diabetes in Toledo-Lucas County CareNet Patients." Master's thesis, University of Toledo, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1282240225

    Chicago Manual of Style (17th edition)