Evidence map›Paper›PMID 41734372›Full record

ArticleJMIR human factors2026

Providing Psychological Therapy Support and Improving Postdischarge Data Collection: Preliminary Evaluation of the "Paddle" App.

Graham R Thew, Michelle Lee, Ineke Wolsey, Fiona Giles, Emma Hayden, Grace Jell, Jamie Peacock, John Pimm, Joanne Ryder, Alison Salvadori and 1 more

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

11 authors.

Graham R ThewDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-2851-1315
Michelle LeeCharlie Waller Institute, School of Psychology and CLS, University of Reading, Reading, United Kingdom.ORCID 0000-0001-5113-1084
Ineke WolseyBrighter Futures Together CIC, Reading, United Kingdom.ORCID 0009-0003-8631-3381
Fiona GilesNHS Buckinghamshire Talking Therapies, Oxford Health NHS Foundation Trust, High Wycombe, United Kingdom.ORCID 0009-0007-2756-9132
Emma HaydenNHS Berkshire Talking Therapies, Berkshire Healthcare NHS Foundation Trust, Reading, United Kingdom.ORCID 0009-0007-1064-4423
Grace JellNHS Berkshire Talking Therapies, Berkshire Healthcare NHS Foundation Trust, Reading, United Kingdom.ORCID 0009-0002-3594-0046
Jamie PeacockNHS Oxfordshire Talking Therapies, Oxford Health NHS Foundation Trust, Oxford, United Kingdom.ORCID 0009-0006-9829-4407
John PimmNHS Buckinghamshire Talking Therapies, Oxford Health NHS Foundation Trust, High Wycombe, United Kingdom.ORCID 0000-0002-9893-0059
Joanne RyderNHS Oxfordshire Talking Therapies, Oxford Health NHS Foundation Trust, Oxford, United Kingdom.ORCID 0009-0000-5047-5977
Alison SalvadoriNHS Berkshire Talking Therapies, Berkshire Healthcare NHS Foundation Trust, Reading, United Kingdom.ORCID 0009-0005-3210-751X
David M ClarkDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8173-6022

Funding

Wellcome Trust 200796
6 · The paper itself

Abstract

backgroundClinical trials of psychological therapies such as cognitive behavioral therapy typically show sustained posttreatment effects. However, less is known about individuals' outcomes following treatment in routine practice, and additionally, patient representatives have highlighted a need for better postdischarge support.

objectiveThe "Paddle" app aims to address these issues. Paddle allows patients to store their therapy materials, reflect on sessions, and monitor their well-being during and after treatment, completing outcome questionnaires and monthly reviews.

methodsStudy 1 evaluated patients' use of Paddle during treatment in routine practice. Patient and therapist surveys explored feasibility, acceptability, and helpfulness. Study 2 examined the feasibility of using the app post discharge, inviting users to submit monthly questionnaires for 6 months, and seeking feedback via survey.

resultsOur findings indicate that Paddle was feasible to implement with few technical problems. Although not all patients wanted to use an app in Study 1, uptake was 66% (111/168) and users found it acceptable and helpful for organizing and remembering therapy information. Most reported using the app on a weekly or fortnightly basis. In Study 2, a total of 321 patients downloaded and used the app at least once, of whom 49% (156/321) submitted follow-up data. Of those who reliably improved during treatment, 73% (86/118) remained so throughout the 6-month follow-up period. Among all users, 20% (31/156) showed further reliable improvement at least once compared to their end-of-treatment score. We introduce the concept of "reliable relapse," which occurred for 36% (32/89) of users who had reliably recovered during treatment, highlighting that some experience fluctuations or deterioration. Feedback highlighted Paddle's value in helping people self-monitor and prioritize their well-being after treatment, with 81% (50/62) suggesting a postdischarge follow-up period longer than 6 months would be helpful.

conclusionsThese preliminary findings suggest that Paddle shows promise in supporting patients to collate therapy resources and monitor their well-being during and after treatment. It may help to improve rates of follow-up data collection, which warrants further investigation.

Indexed as

Cognitive Behavioral TherapyData CollectionMobile ApplicationsPatient DischargeAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesanxietyappcognitive behavioral therapydepressionNHS Talking Therapiesoutcome measurement

Identifiers

PMID41734372
PMCPMC12976595

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.