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Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes
Authors:Joel W. Hay  Pey-Jiuan Lee  Haomiao Jin  Jeffrey J. Guterman  Sandra Gross-Schulman  Kathleen Ell  Shinyi Wu
Affiliation:1. Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA;2. Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA;3. Los Angeles County Department of Health Services, Los Angeles, CA, USA;4. David Geffen School of Medicine, University of California, Los Angeles, CA, USA;5. Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
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.
Keywords:automated assessment  cost-effectiveness analysis  cost-utility analysis  depression  direct health care costs  disease management  health technology assessment  primary care  telemedicine
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