Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes

Joel W Hay, Pey-Jiuan Lee, Haomiao Jin, Jeffrey J Guterman, Sandra Gross-Schulman, Kathleen Ell, Shinyi Wu, Joel W Hay, Pey-Jiuan Lee, Haomiao Jin, Jeffrey J Guterman, Sandra Gross-Schulman, Kathleen Ell, Shinyi Wu

Abstract

Background: The Diabetes-Depression Care-Management Adoption Trial is a translational study of safety-net primary care predominantly Hispanic/Latino patients with type 2 diabetes in collaboration with the Los Angeles County Department of Health Services.

Objectives: To evaluate the cost-effectiveness of an information and communication technology (ICT)-facilitated depression care management program.

Methods: Cost-effectiveness of the ICT-facilitated care (TC) delivery model was evaluated relative to a usual care (UC) and a supported care (SC) model. TC added automated low-intensity periodic depression assessment calls to patients. Patient-reported outcomes included the 12-Item Short Form Health Survey converted into quality-adjusted life-years (QALYs) and the 9-Item Patient Health Questionnaire-calculated depression-free days (DFDs). Costs and outcomes data were collected over a 24-month period (-6 to 0 months baseline, 0 to 18 months study intervention).

Results: A sample of 1406 patients (484 in UC, 480 in SC, and 442 in TC) was enrolled in the nonrandomized trial. TC had a significant improvement in DFDs (17.3; P = 0.011) and significantly greater 12-Item Short Form Health Survey utility improvement (2.1%; P = 0.031) compared with UC. Medical costs were statistically significantly lower for TC (-$2328; P = 0.001) relative to UC but not significantly lower than for SC. TC had more than a 50% probability of being cost-effective relative to SC at willingness-to-pay thresholds of more than $50,000/QALY.

Conclusions: An ICT-facilitated depression care (TC) delivery model improved QALYs, DFDs, and medical costs. It was cost-effective compared with SC and dominant compared with UC.

Trial registration: ClinicalTrials.gov NCT01781013.

Keywords: automated assessment; cost-effectiveness analysis; cost-utility analysis; depression; direct health care costs; disease management; health technology assessment; primary care; telemedicine.

Copyright © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Figures

Figure 1
Figure 1
Technology-facilitated care versus supported care cost-effectiveness acceptability curve using cost by quality-adjusted life year threshold.* *Y-axis: Frequency of PSA Model Replication Results
Figure 2
Figure 2
Technology-facilitated care versus supported care cost-effectiveness acceptability curve using cost by depression-free day threshold. * * Y-axis: Frequency of PSA Model Replication Results

Source: PubMed

3
Sottoscrivi