Diabetes Care, Vol 20, Issue 1 15-21, Copyright © 1997 by American Diabetes Association
The feasibility of automated voice messaging as an adjunct to diabetes outpatient care
JD Piette and CA Mah
Center for Health Care Evaluation/Health Services Research & Development Field Program, Veterans Affairs Palo Alto Health Care System, Menlo Park 94025, USA. piette@odd.stanford.edu
OBJECTIVE: To determine whether automated voice messaging (AVM) systems
could be used as an adjunct to primary care for diabetic patients, we
examined whether patients were able to respond to AVM queries for clinical
information, whether sufficient numbers of problems were identified to
warrant the implementation of the service, and whether patients found the
system helpful. RESEARCH DESIGN AND METHODS: The AVM system we examined
uses specialized computer technology to telephone patients, communicate
messages, and collect information. Sixty-five diabetic patients
participated. Based on a review of the literature and the input of diabetes
clinician-researchers, we developed an AVM monitoring protocol to inquire
about patients' symptoms, glucose monitoring, foot care, diet, and
medication adherence. Patients also were given the option to listen to
health promotion messages and to report their satisfaction with the calls.
Patients responded by using their touch-tone telephone keypads. RESULTS: A
total of 216 AVM calls were successfully completed, an average of 3.3 out
of four calls per patient. Patients reported a variety of health problems
that signaled the need for follow-up. Many patients reported not checking
their blood glucose or their feet, and one in four reported problems with
medication and diet adherence. Health and self-care problems varied across
patient subgroups in ways suggesting that the AVM reports were reliable and
valid. Overall, 98% of all patients reported that the calls were helpful,
98% reported that they had no difficulty responding to the calls, and 77%
reported that receiving AVM calls would make them more satisfied with their
health care. CONCLUSIONS: This study demonstrates that diabetic patients
can respond to AVM queries and find the calls helpful. Such calls are a
feasible strategy for identifying health and self-care problems that would
otherwise go unnoticed by clinicians.