Development of a Web-Based, Guided Self-help, Acceptance and Commitment Therapy-Based Intervention for Weight Loss Maintenance: Evidence-, Theory-, and Person-Based Approach.
acceptance and commitment therapy
eHealth
guided self-help
third-wave cognitive behavioral therapy
weight management
Journal
JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394
Informations de publication
Date de publication:
07 Jan 2022
07 Jan 2022
Historique:
received:
05
07
2021
accepted:
27
10
2021
revised:
25
10
2021
entrez:
7
1
2022
pubmed:
8
1
2022
medline:
8
1
2022
Statut:
epublish
Résumé
The 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. The 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. Intervention 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. This 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. This 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.
Sections du résumé
BACKGROUND
BACKGROUND
The 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.
OBJECTIVE
OBJECTIVE
The 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.
METHODS
METHODS
Intervention 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.
RESULTS
RESULTS
This 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.
CONCLUSIONS
CONCLUSIONS
This 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.
Identifiants
pubmed: 34994698
pii: v6i1e31801
doi: 10.2196/31801
pmc: PMC8783282
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e31801Subventions
Organisme : Medical Research Council
ID : MC_UU_00006/6
Pays : United Kingdom
Informations de copyright
©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, Chloe V Thomas, Marie Stubbings, Jennifer Woolston, Simon J Griffin, Amy L Ahern. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.01.2022.
Références
Obes Rev. 2020 Jul;21(7):e13013
pubmed: 32181957
Health Psychol Rev. 2017 Jun;11(2):145-163
pubmed: 28281891
JMIR Res Protoc. 2016 Oct 14;5(4):e180
pubmed: 27742602
Ann Behav Med. 2018 May 18;52(6):501-512
pubmed: 27401001
Curr Opin Psychol. 2015 Apr;2:87-90
pubmed: 26101783
BMJ. 2008 Sep 29;337:a1655
pubmed: 18824488
Nat Clin Pract Endocrinol Metab. 2008 Jul;4(7):382-93
pubmed: 18493227
J Med Internet Res. 2021 Dec 3;23(12):e25305
pubmed: 34870602
JMIR Mhealth Uhealth. 2020 Apr 30;8(4):e14817
pubmed: 32352391
J Behav Ther Exp Psychiatry. 2018 Dec;61:104-112
pubmed: 29990679
Clin Obes. 2020 Oct;10(5):e12395
pubmed: 32767708
BMJ Open. 2020 Nov 23;10(11):e040183
pubmed: 33234638
Lancet. 2017 Jun 3;389(10085):2214-2225
pubmed: 28478041
Obes Surg. 2017 Mar;27(3):586-598
pubmed: 27586525
Ann Intern Med. 2007 Jul 3;147(1):41-50
pubmed: 17606960
Obes Rev. 2019 Feb;20(2):171-211
pubmed: 30324651
Obes Rev. 2018 Feb;19(2):164-177
pubmed: 29076610
Behav Ther. 2018 May;49(3):459-475
pubmed: 29704973
Am J Clin Nutr. 2001 Nov;74(5):579-84
pubmed: 11684524
Obes Rev. 2017 Jan;18(1):51-67
pubmed: 27862826
Implement Sci. 2011 Feb 07;6:10
pubmed: 21299860
Health Psychol Rev. 2016 Sep;10(3):277-96
pubmed: 26854092
Health Technol Assess. 2017 Jan;21(4):1-62
pubmed: 28122658
BMJ. 2014 May 14;348:g2646
pubmed: 25134100
Evid Based Complement Alternat Med. 2014;2014:561320
pubmed: 24648848
Obes Rev. 2010 Dec;11(12):899-906
pubmed: 20345430
J Med Internet Res. 2014 Mar 28;16(3):e95
pubmed: 24681761
Diabetes Care. 2011 Jul;34(7):1481-6
pubmed: 21593294
Obesity (Silver Spring). 2016 Dec;24(12):2509-2514
pubmed: 27804255
Br J Health Psychol. 2021 Feb;26(1):1-14
pubmed: 33080120
World Psychiatry. 2017 Oct;16(3):245-246
pubmed: 28941087
Pilot Feasibility Stud. 2015 Oct 26;1:37
pubmed: 27965815
Appetite. 2015 Jan;84:171-80
pubmed: 25445199
Implement Sci. 2011 Apr 23;6:42
pubmed: 21513547
Telemed J E Health. 2012 Mar;18(2):137-44
pubmed: 22381060
Behav Med. 2019 Oct-Dec;45(4):271-281
pubmed: 28985151