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

May 1, 2018, 00:00 AM
10.1016/j.jval.2017.11.005
https://www.valueinhealthjournal.com/article/S1098-3015(17)33714-2/fulltext
Section Title : ECONOMIC EVALUATION
Section Order : 10
First Page : 561

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.

https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(17)33714-2&doi=10.1016/j.jval.2017.11.005
HEOR Topics :
Tags :
  • automated assessment
  • cost-effectiveness analysis
  • cost-utility analysis
  • depression
  • direct health care costs
  • disease management
  • health technology assessment
  • primary care
  • telemedicine
Regions :