Expired Study
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Boston, Massachusetts 02215


The purpose of this study is to evaluate the effectiveness of automated telephone outreach with speech recognition to improve diabetes care.

Study summary:

Randomly allocate a total of 1200 health plan members with diabetes to automated telephone outreach with speech recognition (ATO-SR; N = 600) or usual care (N = 600). The intervention is a series of three calls, using automated calls, originating from the health plan, using interactive speech recognition technology, spaced approximately 4-6 weeks apart, to encourage participants to fulfill the recommended testing (dilated eye examinations, glycated hemoglobin, LDL-cholesterol, microalbumin) that had not been performed received in the preceding year.


Inclusion Criteria: - Age 18 years or older - Diabetes, defined as either 1) filled a prescription for insulin or an oral hypoglycemic agent; or, 2) had two outpatient or one inpatient or two outpatients encounter claims with an ICD9-CM or CPT code indicating diabetes. - Gap in a key diabetes management metric as evidenced by no claim for a dilated eye examination in the prior 15 months and no claim for one or more of the following tests: glycated hemoglobin, LDL-cholesterol, or microalbumin. (Individuals with evidence of having received ACE-inhibitors or angiotensin receptor blockers were considered to have had a microalbumin test.) Exclusion Criteria: - No primary care clinician in the data base - Those who had previously asked the health plan to exclude them from research or quality improvement - Women whose claim records contained diagnoses suggesting gestational diabetes



Primary Contact:

Principal Investigator
Steven R Simon, MD
Harvard Pilgrim Health Care

Backup Contact:


Location Contact:

Boston, Massachusetts 02215
United States

There is no listed contact information for this specific location.

Site Status: N/A

Data Source: ClinicalTrials.gov

Date Processed: October 09, 2019

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