Evidence map›Paper›PMID 31960467›Full record

ArticleThe British journal of clinical psychology2020

Preventing relapse with personalized smart-messaging after cognitive behavioural therapy: A proof-of-concept evaluation.

Sam Malins, Sanchia Biswas, Shireen Patel, Jo Levene, Nima Moghaddam, Richard Morriss

Open access · hybridAbstract read
In one paragraph

Article in The British journal of clinical psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Sam MalinsUniversity of Nottingham, UK.ORCID https://orcid.org/0000-0001-9570-186X
Sanchia BiswasNottinghamshire Healthcare NHS Foundation Trust, UK.
Shireen PatelUniversity of Nottingham, UK.
Jo LeveneNottinghamshire Healthcare NHS Foundation Trust, UK.
Nima MoghaddamUniversity of Lincoln, UK.
Richard MorrissUniversity of Nottingham, UK.
University of Nottingham · GBNottinghamshire Healthcare NHS Foundation Trust · GBUniversity of Lincoln · GB

Funding

National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care East Midlands (CLAHRC EM)
6 · The paper itself

Abstract

objectivesCognitive behavioural therapy (CBT) can improve symptoms of anxiety and depression, but also reduces the risk of future relapse after therapy completion. However, current CBT relapse prevention methods are resource-intensive and can be limited in clinical practice. This paper investigates a personalized means of reducing relapse using smart-messaging in two settings: research and routine care.

designStudy 1 presents a cohort study comparing a cohort of smart-messaging users versus non-users. Study 2 presents time series follow-up data from a case series of smart-messaging users from clinical practice.

methodsFifteen of 56 CBT completers who participated in a trial for the treatment of health anxiety wrote advice they would want if in future they were doing well, experiencing early warning signs of relapse, or experiencing full relapse. Following CBT, participants received weekly text-message requests to rate their well-being. Dependent upon their response, participants received tailored advice they had written, appropriate to the well-being level reported after recovery from health anxiety. Smart-messaging was also trialled in a routine practice sample of 14 CBT completers with anxiety and depression.

resultsAcross a 12-month follow-up, participants receiving smart-messaging showed greater health improvements than those who did not. Well-being scores showed stability between CBT completion and 6-month follow-up among routine care patients.

conclusionsThese findings suggest that a low-intensity, personalized relapse prevention method can have a clinical benefit following CBT for common mental health problems. PRACTITIONER POINTS: Post-treatment outcomes may be improved using personalized smart-messaging to prevent relapse following cognitive behavioural therapy (CBT) for health anxiety. In clinical practice, post-treatment smart-messaging can be well-used by patients and may help maintain stable well-being in the 6 months after CBT ends. This evidence supports the clinical utility of a brief tailored digital intervention, which can be integrated within routine clinical practice with minimal therapist input. Overall, longer-term post-CBT outcomes may be improved by integrating a smart-messaging intervention at the end of therapy.

Indexed as

Proof of Concept StudyAdultAgedCognitive Behavioral TherapyCohort StudiesFemaleHumansMaleMiddle AgedResearch DesignSecondary PreventionTreatment OutcomeYoung Adultcognitive behavioural therapydigital health interventionsrelapse preventiontelehealth

Identifiers

PMID31960467
PMCPMC7216897
OpenAlexW3000119821

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.