The purpose of this study is to evaluate the effectiveness of automated telephone outreach with speech recognition to improve diabetes care.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
1,200
Automated Telephone Outreach with Speech Recognition
Usual Care
Harvard Pilgrim Health Care
Boston, Massachusetts, United States
Completion of dilated eye examination
Time frame: 12-months following intervention
Completion of glycated hemoglobin testing (HbA1c)
Time frame: one-year following intervention
Completion of LDL-cholesterol testing
Time frame: one year following intervention
Completion of microalbumin testing
Time frame: one-year following intervention
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