REalist Synthesis Of non-pharmacologicaL interVEntions for antipsychotic-induced weight gain (RESOLVE) in people living with Severe Mental Illness (SMI)

Ian Maidment*, Geoff Wong, Claire Duddy, Rachel Upthegrove, Sheri Oduola, Dan Robotham, Suzanne Higgs, Amy Ahern

*Corresponding author for this work

Research output: Preprint or Working paperPreprint

Abstract

Background:
People with severe mental illnesses (SMI) such as schizophrenia die on average 15 to 20 years earlier than everyone else. Two-thirds of these deaths are from preventable physical illnesses such as hypertension, cardiovascular disease, and diabetes, which are worsened by weight gain. Antipsychotics are associated with significant weight gain. In RESOLVE, a realist synthesis, combining primary and
secondary data, will be used to understand and explain how, why, for whom, and in what contexts nonpharmacological interventions can help service users to manage antipsychotic-induced weight gain.

Methods:
A five-step approach will be used to develop guidance:
1. Developing the initial programme theory
An initial (candidate) programme theory, which sets out how and why outcomes occur within an
intervention, will be developed.

2. Developing the search:
The initial programme theory will be refined using academic and grey literature. The proposed initial sampling frame is:
Context: people living with SMI, taking antipsychotics, different types of SMI.
Intervention: non-pharmacological interventions.
Mechanisms: triggered by the intervention.
Outcomes e.g. weight, metabolic adverse events, quality of life, adherence, burden, economic.
Searching for relevant documents will continue until sufficient data is found to conclude that the refined
programme theory is coherent and plausible. Lived Experience (service users) and Stakeholder (practitioners) groups will provide feedback.

3. Selection, appraisal, data extraction:
Documents will be screened against inclusion and exclusion criteria. Text extracted from these
documents will be coded as contexts, mechanisms and their relationships to outcomes.

4. Primary Data Collection:
Realist interviews with up to 30 service users and informal carers, and 20 practitioners will gather data to
support, refute or refine the programme theory.

5. Data Analysis:
A realist logic of analysis will be used to develop and refine the programme theory from secondary and primary data. The analysis will aim to identify practical intervention strategies to change contexts so that key mechanisms are triggered to produce desired outcomes. Guidance will be produced based on these strategies.

Discussion:
This realist synthesis aims to develop guidance for service users and practitioners on the most appropriate interventional strategies to manage and limit antipsychotic weight gain.

Original languageEnglish
DOIs
Publication statusPublished - 29 Sep 2021

Bibliographical note

License: CC-BY. This work is licensed under a Creative Commons Attribution 4.0 International License.

Funding: This study/project is funded by the National Institute for Health Research (NIHR; HS&DR Programme: 131871). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

Keywords

  • antipsychotics
  • weight gain
  • severe mental illness
  • realist research

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