Implementation and outcomes of commercial disease management programs in the United States: the disease management outcomes consolidation survey

Clinic-based versus outsourced implementation of a diabetes health literacy intervention

BACKGROUND

We compared two implementation approaches for a health literacy diabetes intervention designed for community health centers.

METHODS

A quasi-experimental, clinic-randomized evaluation was conducted at six community health centers from rural, suburban, and urban locations in Missouri between August 2008 and January 2010. In all, 486 adult patients with type 2 diabetes mellitus participated. Clinics were set up to implement either: 1) a clinic-based approach that involved practice re-design to routinely provide brief diabetes education and counseling services, set action-plans, and perform follow-up without additional financial resources [CARVE-IN]; or 2) an outsourced approach where clinics referred patients to a telephone-based diabetes educator for the same services [CARVE-OUT]. The fidelity of each intervention was determined by the number of contacts with patients, self-report of services received, and patient satisfaction. Intervention effectiveness was investigated by assessing patient knowledge, self-efficacy, health behaviors, and clinical outcomes.

RESULTS

Carve-out patients received on average 4.3 contacts (SD = 2.2) from the telephone-based diabetes educator versus 1.7 contacts (SD = 2.0) from the clinic nurse in the carve-in arm (p < 0.001). They were also more likely to recall setting action plans and rated the process more positively than carve-in patients (p < 0.001). Few differences in diabetes knowledge, self-efficacy, or health behaviors were found between the two approaches. However, clinical outcomes did vary in multivariable analyses; carve-out patients had a lower HbA1c (β = -0.31, 95 % CI -0.56 to -0.06, p = 0.02), systolic blood pressure (β = -3.65, 95 % CI -6.39 to -0.90, p = 0.01), and low-density lipoprotein (LDL) cholesterol (β = -7.96, 95 % CI -10.08 to -5.83, p < 0.001) at 6 months.

CONCLUSION

An outsourced diabetes education and counseling approach for community health centers appears more feasible than clinic-based models. Patients receiving the carve-out strategy also demonstrated better clinical outcomes compared to those receiving the carve-in approach. Study limitations and unclear causal mechanisms explaining change in patient behavior suggest that further research is needed.

Impact of disease management on utilization and adherence with drugs and tests: the case of diabetes treatment in the Florida: a Healthy State (FAHS) program

OBJECTIVE

The purpose of this study was to evaluate the effect of telephonic care management within a diabetes disease management program on adherence to treatment with hypoglycemic agents, ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), statins, and recommended laboratory tests in a Medicaid population.

RESEARCH DESIGN AND METHODS

A total of 2,598 patients with diabetes enrolled for at least 2 years in Florida: A Healthy State (FAHS), a large Medicaid disease management program, who received individualized telephonic care management were selected if they were eligible for at least 12 months before and 12 months after beginning care management. Patients were matched one-to-one on all baseline characteristics to 2,598 control patients. The impact of care management on utilization and adherence rates for diabetes-related medications and tests was analyzed with the difference-in-difference estimator.

RESULTS

Changes in utilization were evaluated separately for those who were characterized as adherent to treatment at baseline ("users") and those who were not ("nonusers"). Both groups achieved significant improvement in adherence between baseline and follow-up. Nonusers increased their overall hypoglycemic use by 0.7 script (P < 0.001), by 0.7 script for ACEIs and statins (both P < 0.001), by 0.8 test for A1C (P < 0.001), and by 0.7 test for lipids (P < 0.001). Users increased hypoglycemic use by 1.5 scripts (P < 0.001) and insulin use by 0.9 script (P < 0.001).

CONCLUSIONS

The FAHS telephonic care management intervention effectively induced Medicaid patients with diabetes to begin treatment and improved adherence to oral hypoglycemic agents and recommended tests. It also substantially improved adherence among baseline insulin users.

Documenting participation in an employer-sponsored disease management program: selection, exclusion, attrition, and active engagement as possible metrics

OBJECTIVE

The objective of this study was to document participation in a large employer-sponsored disease management program.

METHODS

This retrospective study tracked participation and attrition rates for asthma, diabetes, coronary heart disease, and congestive heart failure programs over a 4-year period.

RESULTS

Across all four illnesses, only 25% of those identified had any participation. Over 12 months, only 7% continued participating. Of the 93% who were lost, 35% were excluded, 15% could not be contacted, 25% declined to participate, and 17% dropped out over time. All groups improved their adherence to recommended treatment guidelines. Nonparticipants showed the greatest absolute improvement in receiving recommended medical services; however, they also had the lowest rate of service use at baseline and remained lowest at follow up.

CONCLUSIONS

Documenting active engagement and attrition rates may provide useful information for decision-makers.

Diabetes Disease Management in Medicaid Managed Care: A Program Evaluation

The objective of this study was to evaluate the outcomes of a diabetes disease management initiative among TennCare's Medicaid Population. A quasi-experimental group design was conducted using a control group and a diabetes disease management intervention group. Primary outcomes measures were rates for three key recommended tests (ie, microalbuminuria, lipids, and hemoglobin A1c). Secondary performance measures --patient satisfaction and program evaluation issues -- also were assessed. The study was performed among TennCare beneficiaries with diabetes mellitus. It utilized a quasi-experimental nonequivalent control group design, with 993 intervention participants in Knoxville and 1167 control group members in Chattanooga. Variables analyzed included testing rates for hemoglobin A1c, lipids, microalbuminuria, and demographics. A logistic regression model using baseline covariates was constructed to analyze the differences between the intervention and the control groups. Intracluster correlations were accounted for by generalized estimating equations. Statistical process control detected process changes in testing rates over time. There were meaningful changes in the rate of ordering recommended tests. The odds of an individual in the intervention group having at least one microalbuminuria test were 196% more (confidence interval [CI] = 1.50, 5.82; p = 0.002); the odds of having at least one lipid profile were 43% more (CI = 1.01, 2.02; p = 0.042); and the odds of having two or more hemoglobin A1c tests were 39% more (CI = 0.87, 2.23; p = 0.165) than the odds of an individual in the control group. The analysis also showed a high rate of satisfaction among patients in the intervention group. The program was successful in meeting its stated goals of providing effective disease management for TennCare patients with diabetes.