ENhancing Outcomes Through Goal Assessment and Generating Engagement in Diabetes Mellitus

2016-09-21 20:23:21 | BioPortfolio


The purpose of this study is to evaluate whether a combination of pharmacist-delivered patient engagement techniques improves disease control and medication adherence among patients with poorly-controlled diabetes compared with usual care. These engagement techniques include shared decision-making and brief negotiated interviewing and are delivered telephonically.


The US is facing a growing epidemic of type 2 diabetes. Among patients with poorly controlled diabetes, it is often not clear whether the problem is attributable to failure to appropriately intensify therapy, poor adherence to prescribed medications, unwillingness to accept new treatments or a combination of these factors. Multi-component pharmacist-delivered interventions, particularly those rooted in patient engagement, have been shown to be some of the most effective at improving adherence to chronic disease medications. Even though shared decision making and brief negotiated interviewing are complementary patient engagement techniques, the effectiveness of combining these 2 intervention approaches, especially in the management of diabetes, is unknown.

In this study of patients using at least one oral hypoglycemic therapy with poorly controlled disease, the investigators examine the impact of a shared decision making and behavioral interviewing intervention delivered telephonically by pharmacists, compared with usual care. Briefly, all patients allocated to the intervention will be mailed a patient decision aid to prime them for encounters with pharmacists. After receiving the decision aid, these patients will be asked to engage in and provide informed consent for at least 4 telephonic discussions with pharmacists about their diabetes treatment options, goals, and preferences, medication adherence, strategies for reducing adherence barriers, and the benefits of maintaining blood glucose control. The study is being conducted within a large insurer and consists of 700 patients each allocated to the intervention group and the control group. Analyses will be performed on an intent-to-treat basis.

After study completion, the investigators will also use predictive analytics to examine whether treatment response could be predicted based on patient characteristics, such as sociodemographic, clinical, medication use, and other motivational characteristics, which will provide information about which patients are most likely to benefit from the intervention.

Study Design

Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Open Label


Diabetes Mellitus Type 2


Shared Decision Making


Research Site
United States


Not yet recruiting



Results (where available)

View Results


Published on BioPortfolio: 2016-09-21T20:23:21-0400

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Medical and Biotech [MESH] Definitions

A subclass of DIABETES MELLITUS that is not INSULIN-responsive or dependent (NIDDM). It is characterized initially by INSULIN RESISTANCE and HYPERINSULINEMIA; and eventually by GLUCOSE INTOLERANCE; HYPERGLYCEMIA; and overt diabetes. Type II diabetes mellitus is no longer considered a disease exclusively found in adults. Patients seldom develop KETOSIS but often exhibit OBESITY.

Mathematical or statistical procedures used as aids in making a decision. They are frequently used in medical decision-making.

The time period before the development of symptomatic diabetes. For example, certain risk factors can be observed in subjects who subsequently develop INSULIN RESISTANCE as in type 2 diabetes (DIABETES MELLITUS, TYPE 2).

A subtype of DIABETES MELLITUS that is characterized by INSULIN deficiency. It is manifested by the sudden onset of severe HYPERGLYCEMIA, rapid progression to DIABETIC KETOACIDOSIS, and DEATH unless treated with insulin. The disease may occur at any age, but is most common in childhood or adolescence.

Use of an interactive computer system designed to assist the physician or other health professional in choosing between certain relationships or variables for the purpose of making a diagnostic or therapeutic decision.

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