Evidence map›Paper›PMID 35613149›Full record

Trial reportPloS one2022

Economic evaluation of the Target-D platform to match depression management to severity prognosis in primary care: A within-trial cost-utility analysis.

Yong Yi Lee, Cathrine Mihalopoulos, Mary Lou Chatterton, Susan L Fletcher, Patty Chondros, Konstancja Densley, Elizabeth Murray, Christopher Dowrick, Amy Coe, Kelsey L Hegarty and 4 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
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  3. Matching depression management to severity prognosis in primary care: results of the Target-D randomised controlled trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
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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

14 authors at 6 institutions in 3 countries.

Yong Yi LeeHealth Economics Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-2359-6823
Cathrine MihalopoulosHealth Economics Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Mary Lou ChattertonHealth Economics Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Susan L FletcherDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Patty ChondrosDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Konstancja DensleyDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.ORCID 0000-0001-6822-2011
Elizabeth MurrayDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-8932-3695
Christopher DowrickDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Amy CoeDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Kelsey L HegartyDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Sandra K DavidsonDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Caroline WachtlerDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Victoria J PalmerDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
Jane M GunnDepartment of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia.
The University of Melbourne · AUDeakin University · AUMonash University · AURoyal Women's Hospital · AUThe University of Queensland · AUUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTarget-D, a new person-centred e-health platform matching depression care to symptom severity prognosis (minimal/mild, moderate or severe) has demonstrated greater improvement in depressive symptoms than usual care plus attention control. The aim of this study was to evaluate the cost-effectiveness of Target-D compared to usual care from a health sector and partial societal perspective across 3-month and 12-month follow-up. METHODS AND

findingsA cost-utility analysis was conducted alongside the Target-D randomised controlled trial; which involved 1,868 participants attending 14 general practices in metropolitan Melbourne, Australia. Data on costs were collected using a resource use questionnaire administered concurrently with all other outcome measures at baseline, 3-month and 12-month follow-up. Intervention costs were assessed using financial records compiled during the trial. All costs were expressed in Australian dollars (A$) for the 2018-19 financial year. QALY outcomes were derived using the Assessment of Quality of Life-8D (AQoL-8D) questionnaire. On a per person basis, the Target-D intervention cost between $14 (minimal/mild prognostic group) and $676 (severe group). Health sector and societal costs were not significantly different between trial arms at both 3 and 12 months. Relative to a A$50,000 per QALY willingness-to-pay threshold, the probability of Target-D being cost-effective under a health sector perspective was 81% at 3 months and 96% at 12 months. From a societal perspective, the probability of cost-effectiveness was 30% at 3 months and 80% at 12 months.

conclusionsTarget-D is likely to represent good value for money for health care decision makers. Further evaluation of QALY outcomes should accompany any routine roll-out to assess comparability of results to those observed in the trial. This trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12616000537459).

Indexed as

DepressionQuality of LifeAustraliaCost-Benefit AnalysisHumansPrimary Health CarePrognosisQuality-Adjusted Life Years

Identifiers

PMID35613149
PMCPMC9132336
OpenAlexW4281554319

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.