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The moderating and mediating role of eating behaviour traits in acceptance and commitment therapy-based weight management interventions: protocol for an individual participant data meta-analysis

Por: Kudlek · L. · Mueller · J. · Eustacio Colombo · P. · Sharp · S. J. · Griffin · S. J. · Ahern · A.
Introduction

Precision medicine approaches to obesity aim to maximise treatment effectiveness by matching weight management interventions (WMIs) to characteristics of individuals, such as eating behaviour traits (EBTs). Acceptance and commitment therapy (ACT)-based WMIs may address EBTs such as emotional and uncontrolled eating more effectively than standard interventions, and might be most effective in people with high levels of these traits. However, few studies have examined this directly. We will examine (a) whether ACT-based interventions are more effective for people with certain levels of EBTs (ie, moderation) and (b) whether ACT-based interventions operate through changes in EBTs (ie, mediation).

Methods and analysis

This individual participant data (IPD) meta-analysis will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Individual Participant Data guidance. We will include studies on ACT-based WMIs that assessed EBTs in people with a body mass index ≥25 kg/m2. We identified studies by screening studies included in a previous review of third wave cognitive behavioural interventions, and updating the search to 20 June 2022. We will request IPD from eligible published and unpublished studies. We will harmonise and re-analyse data using a two-stage random effects meta-analysis pooling within-trial interactions to investigate moderating effects and using a one-stage simultaneous equation model to examine mediating effects. We will assess the risk of bias in included studies using the Cochrane Risk of Bias tool 2 and the Risk of Bias in Non-randomised Studies of Interventions tool.

Ethics and dissemination

Ethical approval has been obtained from the Cambridge Psychology Research Ethics Committee (Application No: PRE.2023.121). Data sharing will follow data transfer agreements and coauthorship will be offered to investigators contributing data. Findings will be disseminated through peer-reviewed journals and conferences and will contribute to the lead author’s PhD thesis.

PROSPERO registration number

CRD42022359691.

Effectiveness of a midwife-led continuity of care model on birth outcomes and maternal mental health in vulnerable women: study protocol for a randomised controlled trial with an internal pilot, process evaluation and economic analysis

Por: Willan · K. · Moss · R. H. · Santorelli · G. · Ahern · S. · Bryant · M. · Bywater · T. · Blower · S. L. · Richardson · G. · Hinde · S. · Huo · D. · Wright · J. · Dickerson · J. · Innovation Hub · B. S. B.
Introduction

Women from social disadvantage are at greater risk of poor birth outcomes. The midwife-led continuity of care (MCC) model, which offers flexible and relational care from a small team of midwives, has demonstrated improved birth outcomes. In the general population, the impact of MCC on socially disadvantaged women and on birth outcomes is still unclear. This protocol describes a pragmatic evaluation of the MCC model in a socially disadvantaged population.

Methods and analysis

An open-labelled individual prospective randomised controlled trial with an internal pilot, process evaluation and economic analysis, from 1 April 2022 to 31 March 2024.

Women will be randomly allocated to MCC or standard care as part of usual midwifery practice. Participants and midwives will not be blinded, but researchers will be. An internal pilot will test the feasibility of this process.

Participants are those randomised into MCC or standard care, who consent to participate in one of two Born in Bradford (BiB) birth cohort studies. Outcomes are taken from routinely linked health data, supplemented by additional data capture. The sample size is fixed by the capacity of MCC teams, commissioning duration and numbers recruited into the cohort. The estimated maximum fixed sample size is 1,410 pregnancies (minimum 734).

Intention to treat (ITT) analysis will be undertaken to assess the impact of MCC on two independent primary outcomes. An economic evaluation will explore the impact on health resource use and a process evaluation will explore fidelity to the MCC model, and barriers/facilitators to implementation from midwives’ and women’s perspectives.

Ethics and dissemination

Ethical approval has been obtained for the randomisation in midwifery practice, use of the cohort data for evaluation and for the process evaluation. Findings will be published in peer-reviewed journals, presented at conferences and translated into policy briefings.

Trial registration number

IsRCTNhttps://doi.org/10.1186/ISRCTN31836167

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