Evidence map›Paper›PMID 32152159›Full record

SynthesisBMJ open2020

Supporting antidepressant discontinuation: the development and optimisation of a digital intervention for patients in UK primary care using a theory, evidence and person-based approach.

Hannah M Bowers, Tony Kendrick, Marta Glowacka, Samantha Williams, Geraldine Leydon, Carl May, Chris Dowrick, Joanna Moncrieff, Rebecca Laine, Yvonne Nestoriuc and 2 more

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05051995 (Combined N-of-1 Trials to Assess Open-Label Placebo Treatment for Antidepressant Discontinuation Symptoms), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 10% 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.

NCT05051995 nacompletednot on this mapstarted 2022, after this paper: background citation

Combined N-of-1 Trials to Assess Open-Label Placebo Treatment for Antidepressant Discontinuation Symptoms

TypeinterventionalSponsorUniversitätsklinikum Hamburg-EppendorfRan2022 to 2024Enrolled25ConditionsDepressive Symptoms, Expectations, AntidepressantsArmsOpen-label placebo, No-treatment
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Role of primary care in depression relapse: a qualitative study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  6. Article
  7. Acceptability and optimisation of resources to support antidepressant cessation: a qualitative think-aloud study with patients in Australian primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

12 authors at 7 institutions in 5 countries.

Hannah M BowersPrimary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK h.m.bowers@soton.ac.uk.ORCID 0000-0002-1996-6652
Tony KendrickPrimary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
Marta GlowackaFaculty of Health and Social Sciences, Bournemouth University, Poole, UK.
Samantha WilliamsPrimary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
Geraldine LeydonPrimary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
Carl MayFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Chris DowrickInstitute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Joanna MoncrieffMental Health Sciences, University College London and North East London mental health trust, London, UK.
Rebecca LainePrimary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
Yvonne NestoriucDepartment of Psychology, Helmet Schmidt University, Hamburg, Germany.
Gerhard AnderssonDepartment of Behavioural Sciences and Learning, Linkoping University, Linköping, Sweden.
Adam W A GeraghtyPrimary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0001-7984-8351
Primary Health Care · QABournemouth University · GBHelmut Schmidt University · DELinköping University · SELondon School of Hygiene & Tropical Medicine · GBUniversity of Liverpool · GBWest London Mental Health NHS Trust · GB

Funding

Department of Health RP-PG-1214-20004
6 · The paper itself

Abstract

objectivesWe aimed to develop a digital intervention to support antidepressant discontinuation in UK primary care that is scalable, accessible, safe and feasible. In this paper, we describe the development using a theory, evidence and person-based approach.

designIntervention development using a theory, evidence and person-based approach.

settingPrimary Care in the South of England.

participantsFifteen participants with a range of antidepressant experience took part in 'think aloud' interviews for intervention optimisation.

interventionOur digital intervention prototype (called 'ADvisor') was developed on the basis of a planning phase consisting of qualitative and quantitative reviews, an in-depth qualitative study, the development of guiding principles and a theory-based behavioural analysis. Our optimisation phase consisted of 'think aloud' interviews where the intervention was iteratively refined.

resultsThe qualitative systematic review and in-depth qualitative study highlighted the centrality of fear of depression relapse as a key barrier to discontinuation. The quantitative systematic review showed that psychologically informed approaches such as cognitive-behavioural therapy were associated with greater rates of discontinuation than simple advice to reduce. Following a behavioural diagnosis based on the behaviour change wheel, social cognitive theory provided a theoretical basis for the intervention. The intervention was optimised on the basis of think aloud interviews, where participants suggested they like the flexibility of the system and found it reassuring. Changes were made to the tone of the material and the structure was adjusted based on this qualitative feedback.

conclusions'ADvisor' is a theory, evidence and person-based digital intervention designed to support antidepressant discontinuation. The intervention was perceived as helpful and reassuring in optimisation interviews. Trials are now needed to determine the feasibility, clinical and cost-effectiveness of this approach.

Indexed as

Antidepressive AgentsDrug TaperingPractice Guidelines as TopicAdultAgedCognitive Behavioral TherapyDepressionFemaleHumansMaleMiddle AgedPrimary Health CareQualitative ResearchUnited KingdomAntidepressive Agentsantidepressantsdepression & mood disordersdigital interventionintervention developmentprimary care

Identifiers

PMID32152159
PMCPMC7064123
OpenAlexW3009645692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.