Comorbidity in Mississippi Patients Hospitalized with Diabetes: The Use of Hospital Discharge Data for Conducting Evidence-Based, Population-Level Research
Methods: We analyzed Mississippi hospital discharge data for 2011 with SAS 9.3. For calculating the weighted scores and number of comorbidities, we implemented the Charlson/Deyo Comorbidity Index, a risk adjustment algorithm based on seventeen chronic conditions. Each condition is assigned a score (weight) from 1 to 6 that is proportional to the severity of the illness. We conducted comparative analyses of hospitalizations for diabetes and hospitalizations without diabetes using chi-square tests and t-tests. The study included only Mississippi residents with a primary or secondary diagnosis of diabetes.
Results: In 2011, there were 84,649 diabetes-related hospitalizations, accounting for 22% of all hospitalizations among state residents. The hospitalization rate was 28 diabetic patients per 1,000 residents. The mean Charlson/Deyo comorbidity score was 1.2 for hospitalized patients with diabetes and 0.7 for those without diabetes (p < 0.001). The results of the bivariate analyses revealed that compared to all other hospitalizations, patients with diabetes were more likely to have a comorbidity score ≥ 1 (58% vs. 31%, p < 0.001). Diabetic patients were also more likely to have high comorbidity scores: 16% of patients with diabetes had a comorbidity score ≥ 3 (vs. 8% for patients without diabetes, p < 0.001). Congestive heart failure (23%), chronic pulmonary disease (21%), chronic renal disease (20%), cerebrovascular disease (10%), and old/acute myocardial infarctions (8%) were the five leading comorbidities among patients with diabetes.
Conclusion: During 2011 over one in five hospitalizations was related to diabetes in Mississippi and diabetes was associated with high comorbidity burden. Underscoring the utility of hospital discharge data for evidence-based research, these findings can help policy makers and public health programs in their evaluation of the diabetes epidemic and its impact on the overall population’s health.
Learning Areas:Chronic disease management and prevention
Clinical medicine applied in public health
Public health or related research
Define prevalence of diabetes-related hospitalizations in Mississippi Evaluate the comorbidity burden and patterns among patients hospitalized with a diagnosis of diabetes in Mississippi
Keyword(s): Diabetes, Medical Care
Qualified on the content I am responsible for because: I am an epidemiologist with the Mississippi State Department of Health specializing in analyzing hospital discharge data. I also have special experience in medical research.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.