A RANDOMISED TRIAL OF A CLINICAL PREDICTION TOOL FOR TARGETING DEPRESSION CARE.

Grant number: 1059863 | Funding period: 2014 - 2018

Completed

Abstract

The Target-D Study uses a novel clinical prediction tool to test a new approach to depression care in general practice based upon sub-grouping patients into low, medium and high risk of ongoing depression. Participants will be randomly allocated to targeted treatments based upon their risk profile or to usual general practice care. We will measure whether the new approach results in greater improvements in depressive symptoms, quality of life and functioning and whether there are cost benefits.

Related publications (8)

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Patient reported self-help strategies and the perceived benefits for managing sub-threshold depressive symptoms: A nested qualitative study of Australian primary care attendees

Anna Kathryn Taylor, Victoria J Palmer, Sandra Davidson, Susan Fletcher, Jane Gunn

2021-11-12

BACKGROUND: Subthreshold depression is common in primary care, but there is little information about the self-help strategies that..

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Moving from "let's fix them" to "actually listen": the development of a primary care intervention for mental-physical multimorbidity

Kylie J McKenzie, Susan L Fletcher, David Pierce, Jane M Gunn

2021-04-01

BACKGROUND: Effective person-centred interventions are needed to support people living with mental-physical multimorbidity to achi..

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Link-me: Protocol for a randomised controlled trial of a systematic approach to stepped mental health care in primary care

Susan Fletcher, Patty Chondros, Victoria J Palmer, Mary Lou Chatterton, Matthew J Spittal, Cathrine Mihalopoulos, Anna Wood, Meredith Harris, Philip Burgess, Bridget Bassilios, Jane Pirkis, Jane Gunn

2019-03-01

Primary care in Australia is undergoing significant reform, with a particular focus on cost-effective tailoring of mental health c..

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Exploring comorbid depression and physical health trajectories: A case-based computational modelling approach

Brian Castellani, Frances Griffiths, Rajeev Rajaram, Jane Gunn

2018-12-01

While comorbid depression/physical health is a major clinical concern, the conventional methods of medicine make it difficult to m..

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Development of a Mobile Clinical Prediction Tool to Estimate Future Depression Severity and Guide Treatment in Primary Care: User-Centered Design

Caroline Wachtler, Amy Coe, Sandra Davidson, Susan Fletcher, Antonette Mendoza, Leon Sterling, Jane Gunn

2018-04-01

BACKGROUND: Around the world, depression is both under- and overtreated. The diamond clinical prediction tool was developed to ass..

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Development of a prognostic model for predicting depression severity in adult primary patients with depressive symptoms using the diamond longitudinal study

Patty Chondros, Sandra Davidson, Rory Wolfe, Gail Gilchrist, Christopher Dowrick, Frances Griffiths, Kelsey Hegarty, Helen Herrman, Jane Gunn

2018-02-01

BACKGROUND: Depression trajectories among primary care patients are highly variable, making it difficult to identify patients that..

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Psychologically-Driven Requirements Engineering: A Case Study in Depression Care

Eman Alatawi, Antonette Mendoza, Tim Miller

2018-01-01

Developing software that is accepted by its intended users can be a challenge. It is not only important to facilitate peoples task..

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Target-D: a stratified individually randomized controlled trial of the diamond clinical prediction tool to triage and target treatment for depressive symptoms in general practice: study protocol for a randomized controlled trial

Jane Gunn, Caroline Wachtler, Susan Fletcher, Sandra Davidson, Cathrine Mihalopoulos, Victoria Palmer, Kelsey Hegarty, Amy Coe, Elizabeth Murray, Christopher Dowrick, Gavin Andrews, Patty Chondros

2017-07-20

BACKGROUND: Depression is a highly prevalent and costly disorder. Effective treatments are available but are not always delivered ..