Evidence map›Paper›PMID 29753353›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2018

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

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Joel W HayLeonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA. Electronic address: jhay@usc.edu.
Pey-Jiuan LeeSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA.
Haomiao JinSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA.
Jeffrey J GutermanLos Angeles County Department of Health Services, Los Angeles, CA, USA; David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Sandra Gross-SchulmanLos Angeles County Department of Health Services, Los Angeles, CA, USA.
Kathleen EllSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA.
Shinyi WuLeonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA; Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA; Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.

Funding

COST-EFFECTIVENESS IN PHYSICAL ACTIVITY PROMOTIONR21CA122664 · NCI · RAND CORPORATION · PI WU, SHINYI · 2007 to 2008
$400k
NCI NIH HHS R21 CA122664
6 · The paper itself

Abstract

backgroundThe 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.

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

methodsCost-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).

resultsA 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.

conclusionsAn 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.

Indexed as

Cost-Benefit AnalysisDepressionDiabetes Mellitus, Type 2FemaleHispanic or LatinoHumansLos AngelesMaleMiddle AgedPrimary Health CareQuality-Adjusted Life YearsSafety-net ProvidersTechnology Assessment, Biomedicalautomated assessmentcost-effectiveness analysiscost-utility analysisdepressiondirect health care costsdisease managementhealth technology assessmentprimary caretelemedicine

Identifiers

PMID29753353
PMCPMC5953558

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.