Social impact analysis of the effects of a telemedicine intervention to improve diabetes outcomes in an ethnically diverse, medically underserved population: findings from the IDEATel Study.

Abstract

OBJECTIVES We examined the social impact of the telemedicine intervention effects in lower- and higher-socioeconomic status (SES) participants in the Informatics for Diabetes Education and Telemedicine (IDEATel) study. METHODS We conducted a randomized controlled trial comparing telemedicine case management with usual care, with blinded outcome evaluation, in 1665 Medicare recipients with diabetes, aged 55 years or older, residing in federally designated medically underserved areas of New York State. The primary trial endpoints were hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol, and systolic blood pressure levels. RESULTS HbA1c was higher in lower-income participants at the baseline examination. However, we found no evidence that the intervention increased disparities. A significant moderator effect was seen for HbA1c (P = .004) and systolic blood pressure (P = .023), with the lowest-income group showing greater intervention effects. CONCLUSIONS Lower-SES participants in the IDEATel study benefited at least as much as higher-SES participants from telemedicine nurse case management for diabetes. Tailoring the intensity of the intervention based on clinical need may have led to greater improvements among those not at goal for diabetes control, a group that also had lower income, thereby avoiding the potential for an innovative intervention to widen socioeconomic disparities.

DOI: 10.2105/AJPH.2012.300909

Cite this paper

@article{Shea2013SocialIA, title={Social impact analysis of the effects of a telemedicine intervention to improve diabetes outcomes in an ethnically diverse, medically underserved population: findings from the IDEATel Study.}, author={Steven Shea and Dhruva Kothari and Jeanne A. Teresi and Jian Kong and Joseph P. Eimicke and Rafael A. Lantigua and Walter Palmas and Ruth S. Weinstock}, journal={American journal of public health}, year={2013}, volume={103 10}, pages={1888-94} }