Evidence map›Paper›PMID 34994698›Full record

ArticleJMIR formative research2022

Development of a Web-Based, Guided Self-help, Acceptance and Commitment Therapy-Based Intervention for Weight Loss Maintenance: Evidence-, Theory-, and Person-Based Approach.

Rebecca Richards, Rebecca A Jones, Fiona Whittle, Carly A Hughes, Andrew J Hill, Emma R Lawlor, Jennifer Bostock, Sarah Bates, Penny R Breeze, Alan Brennan and 5 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 19 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

15 authors at 4 institutions in 1 country.

Rebecca RichardsMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-7122-6822
Rebecca A JonesMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-2197-1175
Fiona WhittleMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-5461-521X
Carly A HughesFakenham Medical Practice, Fakenham, United Kingdom.ORCID https://orcid.org/0000-0001-9560-7873
Andrew J HillSchool of Medicine, University of Leeds, Leeds, United Kingdom.ORCID https://orcid.org/0000-0003-3192-0427
Emma R LawlorMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-0742-0476
Jennifer BostockPatient and Public Involvement Representative, Kent, United Kingdom.ORCID https://orcid.org/0000-0001-9261-9350
Sarah BatesSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-6358-0060
Penny R BreezeSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-4189-8676
Alan BrennanSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-1025-312X
Chloe V ThomasSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0001-8704-3262
Marie StubbingsMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-6442-8127
Jennifer WoolstonMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-0127-2898
Simon J GriffinMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-2157-4797
Amy L AhernMedical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-5069-4758
University of Cambridge · GBUniversity of Sheffield · GBFarnham Road Hospital · GBUniversity of Leeds · GB

Funding

Medical Research Council MC_UU_00006/6
6 · The paper itself

Abstract

backgroundThe long-term impact and cost-effectiveness of weight management programs depend on posttreatment weight maintenance. There is growing evidence that interventions based on third-wave cognitive behavioral therapy, particularly acceptance and commitment therapy (ACT), could improve long-term weight management; however, these interventions are typically delivered face-to-face by psychologists, which limits the scalability of these types of intervention.

objectiveThe aim of this study is to use an evidence-, theory-, and person-based approach to develop an ACT-based intervention for weight loss maintenance that uses digital technology and nonspecialist guidance to minimize the resources needed for delivery at scale.

methodsIntervention development was guided by the Medical Research Council framework for the development of complex interventions in health care, Intervention Mapping Protocol, and a person-based approach for enhancing the acceptability and feasibility of interventions. Work was conducted in two phases: phase 1 consisted of collating and analyzing existing and new primary evidence and phase 2 consisted of theoretical modeling and intervention development. Phase 1 included a synthesis of existing evidence on weight loss maintenance from previous research, a systematic review and network meta-analysis of third-wave cognitive behavioral therapy interventions for weight management, a qualitative interview study of experiences of weight loss maintenance, and the modeling of a justifiable cost for a weight loss maintenance program. Phase 2 included the iterative development of guiding principles, a logic model, and the intervention design and content. Target user and stakeholder panels were established to inform each phase of development, and user testing of successive iterations of the prototype intervention was conducted.

resultsThis process resulted in a guided self-help ACT-based intervention called SWiM (Supporting Weight Management). SWiM is a 4-month program consisting of weekly web-based sessions for 13 consecutive weeks followed by a 4-week break for participants to reflect and practice their new skills and a final session at week 18. Each session consists of psychoeducational content, reflective exercises, and behavioral experiments. SWiM includes specific sessions on key determinants of weight loss maintenance, including developing skills to manage high-risk situations for lapses, creating new helpful habits, breaking old unhelpful habits, and learning to manage interpersonal relationships and their impact on weight management. A trained, nonspecialist coach provides guidance for the participants through the program with 4 scheduled 30-minute telephone calls and 3 further optional calls.

conclusionsThis comprehensive approach facilitated the development of an intervention that is based on scientific theory and evidence for supporting people with weight loss maintenance and is grounded in the experiences of the target users and the context in which it is intended to be delivered. The intervention will be refined based on the findings of a planned pilot randomized controlled trial.

Indexed as

acceptance and commitment therapyeHealthguided self-helpthird-wave cognitive behavioral therapyweight management

Identifiers

PMID34994698
PMCPMC8783282
OpenAlexW3208184390

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.