William A. Rush

The Cost to Health Plans of Poor Glycemic Control

OBJECTIVE We tested the hypothesis that level of glycemic control is related to medical care costs in adults with diabetes. RESEARCH DESIGN AND METHODS Regression analysis was used to estimate the relationship between glycemic control and medical care charges for 3,017 adults with diabetes who were continuously enrolled in a large health maintenance organization (HMO) over a 4-year period. Diagnosis of diabetes was ascertained from diagnostic and pharmaceutical databases using a method with an estimated sensitivity of 0.91 and an estimated specificity of 0.99. Charges for care included defined outpatient and inpatient services. Patients who disenrolled or who died during the 4-year period were excluded from the main analysis. RESULTS Charges for medical care for patients with diabetes from 1993 to 1995 were closely related to HbA1c level in 1992 before and after adjustment for age, sex, coronary heart disease, and hypertension. Standardized 3-year estimates of charges ranged from

Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized Trial

10,439 for patients without comorbid conditions to

Impact of an Electronic Medical Record on Diabetes Quality of Care

44,417 for those with heart disease and hypertension. Medical care charges increased significantly for every 1% increase above HbA1c of 7%. For a person with an HbA1c value of 6%, successive 1% increases in HbA1c resulted in cumulative increases in charges of ∼ 4, 10, 20, and 30%. The increase in charges accelerated as the HbA1c value increased. For patients with diabetes only, or with diabetes plus other chronic conditions, the rate of increase in charges with HbA1c was consistent. CONCLUSIONS HbA1c provides useful information to providers and patients regarding both health status and future medical care charges. Economic data suggest that clinicians should assign high importance to low HbA1c results and aggressively maintain the HbA1c status of patients who have low HbA1c values. For economic as well as clinical reasons, it may be beneficial to lower HbA1c when it is > 8% and to reduce cardiovascular risk factors. The medical charge data suggest that investment in clinical systems to improve diabetes care may benefit both payers and patients.

Treatment of Elderly and Other Adult Patients for Depression in Primary Care

PURPOSE We wanted to assess the impact of an electronic health record–based diabetes clinical decision support system on control of hemoglobin A1c (glycated hemoglobin), blood pressure, and low-density lipoprotein (LDL) cholesterol levels in adults with diabetes. METHODS We conducted a clinic-randomized trial conducted from October 2006 to May 2007 in Minnesota. Included were 11 clinics with 41 consenting primary care physicians and the physicians’ 2,556 patients with diabetes. Patients were randomized either to receive or not to receive an electronic health record (EHR)–based clinical decision support system designed to improve care for those patients whose hemoglobin A1c, blood pressure, or LDL cholesterol levels were higher than goal at any office visit. Analysis used general and generalized linear mixed models with repeated time measurements to accommodate the nested data structure. RESULTS The intervention group physicians used the EHR-based decision support system at 62.6% of all office visits made by adults with diabetes. The intervention group diabetes patients had significantly better hemoglobin A1c (intervention effect −0.26%; 95% confidence interval, −0.06% to −0.47%; P=.01), and better maintenance of systolic blood pressure control (80.2% vs 75.1%, P=.03) and borderline better maintenance of diastolic blood pressure control (85.6% vs 81.7%, P =.07), but not improved low-density lipoprotein cholesterol levels (P = .62) than patients of physicians randomized to the control arm of the study. Among intervention group physicians, 94% were satisfied or very satisfied with the intervention, and moderate use of the support system persisted for more than 1 year after feedback and incentives to encourage its use were discontinued. CONCLUSIONS EHR-based diabetes clinical decision support significantly improved glucose control and some aspects of blood pressure control in adults with type 2 diabetes.

Does Diabetes Double the Risk of Depression

PURPOSE This study was designed to evaluate the impact of electronic medical record (EMR) implementation on quality of diabetes care. METHODS We conducted a 5-year longitudinal study of 122 adults with diabetes mellitus at an intervention (EMR) clinic and a comparison (non-EMR) clinic. Clinics had similarly trained primary care physicians, similar patient populations, and used a common diabetes care guideline that emphasized the importance of glucose control. The EMR provided basic decision support, including prompts and reminders for diabetes care. Preintervention and postintervention frequency of testing for glycated hemoglobin (HbA1c) and low-density lipoprotein (LDL) levels were compared with and without adjustment for patient age, sex, comorbidity, and baseline HbA1c level. RESULTS Frequency of HbA1c tests increased at the EMR clinic compared with the frequency at the non-EMR clinic (P <.001). HbA1c levels improved in both clinics (P <.05) with no significant differences between clinics 2 years (P = .10) or 4 years (P = .27) after EMR implementation. Similar results were observed for LDL levels. CONCLUSIONS In this controlled study, EMR use led to an increased number of HbA1c and LDL tests but not to better metabolic control. If EMRs are to fulfill their promise as care improvement tools, improved implementation strategies and more sophisticated clinical decision support may be needed.

Geriatric Depression, Antidepressant Treatment, and Healthcare Utilization in a Health Maintenance Organization

Objectives: To determine whether depression is treated differently in older and younger patients in primary care clinics.

ONJ in Two Dental Practice-Based Research Network Regions

PURPOSE In this study, we compared the rate of depression diagnoses in adults with and without diabetes mellitus, while carefully controlling for number of primary care visits. METHODS We matched adults with incident diabetes (n = 2,932) or prevalent diabetes (n = 14,144) to nondiabetic control patients based on (1) age and sex, or (2) age, sex, and number of outpatient primary care visits. Logistic regression analysis was used to assess the association between various predictors and a diagnosis of depression in each diabetes cohort relative to matched nondiabetic control patients. RESULTS With matching for age and sex alone, patients with prevalent diabetes having few primary care visits were significantly more likely to have a new depression diagnosis than matched control patients (odds ratio [OR] = 1.46, 95% confidence interval [CI], 1.19–1.80), but this relationship diminished when patients made more than 10 primary care visits (OR = 0.95, 95% CI, 0.77–1.17). With additional matching for number of primary care visits, patients with prevalent diabetes mellitus with few primary care visits were more likely to have a new diagnosis of depression than those in control group (OR = 1.32, 95% CI, 1.07–1.63), but this relationship diminished and reversed when patients made more than 4 primary care visits (OR = 0.99, 95% CI, 0.80–1.23). Similar results were observed in the subset of patients with incident diabetes and their matched control patients. CONCLUSIONS Patients with diabetes have little or no increase in the risk of a new diagnosis of depression relative to nondiabetic patients when analyses carefully control for the number of outpatient visits. Studies showing such an association may have inadequately adjusted for comorbidity or for exposure to the medical care system.

Depression in Patients with Diabetes: Does It Impact Clinical Goals?

OBJECTIVES To assess the separate effects of depressive symptoms and antidepressant treatment on healthcare utilization and cost. SETTING Social Health Maintenance Organization (HMO) at HealthPartners in Minnesota. PARTICIPANTS Geriatric Social HMO enrollees were screened for depressive symptoms using the 30-item Geriatric Depression Scale. A stratified sample was created, composed of geriatric enrollees with depressive symptoms, with antidepressant prescriptions, or with neither (n = 516). DESIGN Regression analyses were conducted with separate equations for utilization and charge outcome variables, both outpatient and inpatient (log-transformed). The Charlson Comorbidity Index, age, and gender served as covariates. MEASUREMENT Depressive symptoms were identified through the Diagnostic Interview Schedule. Antidepressant treatment was determined from the HMO pharmacy database. RESULTS Having depressive symptoms was associated with a 19 increase in the number of outpatient encounters and a 30 increase in total outpatient charges. Antidepressant treatment was associated with a 32 increase in total outpatient charges but was not significantly associated with number of outpatient encounters. Depressive symptoms and antidepressant therapy were not significantly associated with inpatient utilization or charges. CONCLUSION This study found that patients with depressive symptoms generated more outpatient health care and higher charges but not necessarily more inpatient care. Our findings suggest that programs targeted to geriatric patients whose depression is comorbid with other chronic medical conditions might be cost-effective and particularly appropriate for geriatric care.

Impact of Hypertension Guideline Implementation on Blood Pressure Control and Drug Use in Primary Care Clinics

The incidence of osteonecrosis of the jaw (ONJ) in the population is low, but specifics are unknown. Potential risk factors include bisphosphonate treatment, steroid treatment, osteoporosis, and head/neck radiation. This Dental Practice-Based Research Network study estimated ONJ incidence and odds ratios from bisphosphonate exposure and other risk factors using a key word search and manual chart reviews of electronic records for adults aged ≥ 35 yrs enrolled during 1995–2006 in two large health-care organizations. We found 16 ONJ cases among 572,606 cohort members; seven additional cases were identified through dental plan resources. Among 23 cases (0.63 per 100,000 patient years), 20 (87%) had at least one risk factor, and six (26%) had received oral bisphosphonates. Patients with oral bisphosphonates were 15.5 (CI, 6.0–38.7) more likely to have ONJ than non-exposed patients; however, the sparse number of ONJ cases limits firm conclusions and suggests that the absolute risks for ONJ from oral bisphosphonates is low.

Simulated physician learning intervention to improve safety and quality of diabetes care: a randomized trial.

Introduction: To examine whether depressive symptoms are associated with achievement of recommended goals for control of glucose, lipids, and blood pressure among patients with diabetes. Methods: We used a prospective cohort study of 1223 adults with diabetes that obtained self-reported depression symptoms from a survey. Medication use was obtained from claims data, and pharmacy and clinical data were obtained by manual review of paper medical records. Results: Diabetes patients with depression symptoms were less likely to be at their glucose goal (43% vs 50%; P = .0176) but more likely to be at their blood pressure goal (57% vs 51%; P = .0435). The association between lipids and depression symptoms was related to a lower rate for low-density lipoprotein testing (56% vs 68%; P < .0001). Treatment with antidepressants resulted in a greater percentage achieving glucose and blood pressure goals but not lipid goals. Conclusions: Depression seems to have a variable impact on achieving these clinical goals, perhaps because the goals have differing measurement logistics and biological profiles. Further research is needed to learn whether better treatment of depressive symptoms leads to improvements in meeting diabetes clinical goals.