Family Medicine and Community Health Prevalence and Health Status Differences in Disadvantaged Diabetic Patients with Depression AHRQ 1 R03 HS015987-01.

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Family Medicine and Community Health Prevalence and Health Status Differences in Disadvantaged Diabetic Patients with Depression AHRQ 1 R03 HS Carole Upshur, EdD, Professor Jennifer Granger, MPH, New England Clinicians Forum and Connecticut Primary Care Association Presentation at American Public Health Association Annual Meeting, November 2007 Washington DC

Family Medicine and Community Health Participating sites Connecticut Primary Care Association & New England Clinicians Forum (PBRN) Department of Family Medicine, UMMS (academic partner and IRB) Fair Haven Community Health Center, New Haven CT Holyoke Health Center, Holyoke, MA Neponset Health Center, Dorchester, MA

Family Medicine and Community Health Team members UMMS: Mary Lindholm, MD, Ken Fletcher, PhD, Gail Sawosik, UMMS; Bob Magner, Lax Paropkari Holyoke Health Center: Laura Failla Manship, LICSW & Lorianne Ruiz Neponset Health Center/Harbor Health Services: Jessica Oviatt, Robin White, Robert Hock, MD, Joanne Tuller, LISCW, Judy Steinberg,MD, Jeanne Pastorello, NP Fair Haven Community Health Center: Amy Meyers, MSW, Ann Camp, MD, Ann Somsel

Family Medicine and Community Health Study Aims What is the prevalence of depression in adult Type II diabetics who receive their health care in community health centers Is depression associated with poorer diabetes self-management and control? Does diabetes self-management and control improve when patients receive depression treatment?

Family Medicine and Community Health Background Little understanding of relationship of depression and diabetes Previous and concurrent studies haven’t focused on low income, minority populations

Family Medicine and Community Health Prior studies 2004 Katon et al Group Health Cooperative Study found 11.9% of diabetics positively screen for depression (n=4385) Depression seems to precede development of Type II diabetes & may be a risk factor (Eaton et al 1997; France & Arie, 2000) Evidence that patients with depression and diabetes are less compliant with diet and medicine, are higher health care users, and cost more than diabetics without depression (Egede, Zheng & Simpson, 2002;Marcus et al, 1992) Depression strongly associated with development of diabetic complications including CAD, retinopathy, neuropathy & nephropathy (Harris et all, 2002; De Groot et al, 2001) Depression associated with poor glycemic control (Lustman et al, 2000; Lustman & Clouse, 2002) & implicated in insulin resistance in nondiabetics (Okamura et al 2000)

Family Medicine and Community Health Study Population

Family Medicine and Community Health Characteristics of Sample N=220 (40% initial sample & 56% contacted) 32.7% male Mean age=58.9 (10.6) 56.4%English-speaking, 41.8%Spanish A1c=7.43 (1.7) Dys BP=74.4 (10.1) Sys BP=126.6 (18.1) LDL=101.0(33.0) BMI=35.2 (7.6) (n=126) Comparing enrolled to refused or not contacted: enrolled more often female, English speaking, higher BMI

Family Medicine and Community Health Enrolled Sample: Race

Family Medicine and Community Health Measures Demographics LDL, BP, BMI, A1c (baseline; 6 month follow up for MDD group) Self-reported diabetes management compliance (baseline; follow up 3 & 6 month for MDD group) SF-8 (baseline; follow up 3 & 6 month for MDD group) PHQ-9 (baseline; 3 & 6 month follow for MDD group) All measures well established in Spanish and English

Family Medicine and Community Health Clinical Parameters (means) Number years with diabetes: 9.79 BMI: (only 16% below 30) Hemoglobin A1C: 7.4 (only 49% at 7 or lower, 16% 6 or lower) Diastolic BP: 74.6 (only 4%>90mmHg) LDL: (43% >100)

Family Medicine and Community Health Baseline Results 30.5% symptoms of MDD (based on PHQ-9 score of 10+ or SF8 score on emotional items of 3+* Additional 18% receiving current treatment for depression=43% sample with current depression symptoms or treatment Depression not significantly associated with higher A1c *(sensitivity for SF8 items to predicting cut off PHQ score was 89%, specificity 73%)

Family Medicine and Community Health Baseline Results (cont) Depression associated significantly with: –Spanish ethnicity –Medicaid insurance –poorer self-reported health –more self-reported limitations on work and social activities –more pain –less energy Only in multivariate analysis controlling for ethnicity and insurance do depression symptoms negatively associate with self-management

Family Medicine and Community Health Baseline measures comparing those with and without depression/emotional problems

Family Medicine and Community Health Patient Outcomes: Those referred for depression treatment n=39

Family Medicine and Community Health Conclusions Rates of depression in our sample are 2.5 times that found in commercial populations Significant quality of life detriments for those reporting depressive symptoms Higher rates of depression are found among Latino patients No evidence that depression is associated with poorer glycemic control or most other physiological measures Some evidence that depression is associated with poorer self-management Depression treatment improves depression symptoms and there is some association with improved diabetic self-management

Family Medicine and Community Health What does this mean? Many patients with were already being treated for depression which may explain lack of health differences Patients were also younger than those in other studies Perhaps it takes time for depression to begin to impact glycemic control Is A1c a good measure of diabetes management? Evidence of some poorer areas of self- management suggests that targeted intervention around diet and exercise may be important

Family Medicine and Community Health Limitations Small pilot study so: –Lack of resources & time to locate patients although sample fairly representative of group randomly drawn from diabetes registries –Couldn’t follow all patients with depression/emotional problems for 6 months-just those with moderate to severe levels –Couldn’t pay for treatment or labs