Literature DB >> 33571453

Clinical efficacy of a Decision Support Tool (Link-me) to guide intensity of mental health care in primary practice: a pragmatic stratified randomised controlled trial.

Susan Fletcher1, Matthew J Spittal2, Patty Chondros1, Victoria J Palmer1, Mary Lou Chatterton3, Konstancja Densley1, Maria Potiriadis1, Meredith Harris4, Bridget Bassilios5, Philip Burgess4, Cathrine Mihalopoulos3, Jane Pirkis5, Jane Gunn1.   

Abstract

BACKGROUND: The volume and heterogeneity of mental health problems that primary care patients present with is a substantial challenge for health systems, and both undertreatment and overtreatment are common. We developed Link-me, a patient-completed Decision Support Tool, to predict severity of depression or anxiety, identify priorities, and recommend interventions. In this study, we aimed to examine if Link-me reduces psychological distress among individuals predicted to have minimal/mild or severe symptoms of anxiety or depression.
METHODS: In this pragmatic stratified randomised controlled trial, adults aged 18-75 years reporting depressive or anxiety symptoms or use of mental health medication were recruited from 23 general practices in Australia. Participants completed the Decision Support Tool and were classified into three prognostic groups (minimal/mild, moderate, severe), and those in the minimal/mild and severe groups were eligible for inclusion. Participants were individually and randomly assigned (1:1) by a computer-generated allocation sequence to receive either prognosis-matched care (intervention group) or usual care plus attention control (control group). Participants were not blinded but intervention providers were only notified of those allocated to the intervention group. Outcome assessment was blinded. The primary outcome was the difference in the change in scores between the intervention and control group, and within prognostic groups, on the 10-item Kessler Psychological Distress Scale at 6 months post randomisation. The trial was registered on the Australian and New Zealand Clinical Trials Registry, ACTRN12617001333303. OUTCOMES: Between Nov 21, 2017, and Oct 31, 2018, 24 616 patients were invited to complete the eligibility screening survey. 1671 of these patients were included and randomly assigned to either the intervention group (n=834) or the control group (n=837). Prognosis-matched care was associated with greater reductions in psychological distress than usual care plus attention control at 6 months (p=0·03), with a standardised mean difference (SMD) of -0·09 (95% CI -0·17 to -0·01). This reduction was also seen in the severe prognostic group (p=0·003), with a SMD of -0·26 (-0·43 to -0·09), but not in the minimal/mild group (p=0·73), with a SMD of 0·04 (-0·17 to 0·24). In the complier average causal effect analysis in the severe prognostic group, differences were larger among those who received some or all aspects of the intervention (SMD range -0·58 to -1·15). No serious adverse effects were recorded.
INTERPRETATION: Prognosis-based matching of interventions reduces psychological distress in patients with anxiety or depressive symptoms, particularly in those with severe symptoms, and is associated with better outcomes when patients access the recommended treatment. Optimisation of the Link-me approach and implementation into routine practice could help reduce the burden of disease associated with common mental health conditions such as anxiety and depression. FUNDING: Australian Government Department of Health.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2021        PMID: 33571453     DOI: 10.1016/S2215-0366(20)30517-4

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


  4 in total

Review 1.  Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review.

Authors:  Khatiya Moon; Michael Sobolev; John M Kane
Journal:  JMIR Ment Health       Date:  2022-02-16

2.  Predicting Remission among Perinatal Women with Depression in Rural Pakistan: A Prognostic Model for Task-Shared Interventions in Primary Care Settings.

Authors:  Ahmed Waqas; Siham Sikander; Abid Malik; Najia Atif; Eirini Karyotaki; Atif Rahman
Journal:  J Pers Med       Date:  2022-06-27

3.  Pragmatic AI-augmentation in mental healthcare: Key technologies, potential benefits, and real-world challenges and solutions for frontline clinicians.

Authors:  Katherine C Kellogg; Shiri Sadeh-Sharvit
Journal:  Front Psychiatry       Date:  2022-09-06       Impact factor: 5.435

4.  Economic evaluation of a Decision Support Tool to guide intensity of mental health care in general practice: the Link-me pragmatic randomised controlled trial.

Authors:  Mary Lou Chatterton; Meredith Harris; Philip Burgess; Susan Fletcher; Matthew J Spittal; Jan Faller; Victoria J Palmer; Patty Chondros; Bridget Bassilios; Jane Pirkis; Jane Gunn; Cathrine Mihalopoulos
Journal:  BMC Prim Care       Date:  2022-09-16
  4 in total

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