Reducing seclusion and mechanical restraint: a systemic and decision-oriented framework for mental health services

Purpose This study aims to develop a systemic and decision-oriented model to understand the organisational factors influencing the use of restrictive measures, namely, seclusion and mechanical restraint (SMR), in psychiatric inpatient mental health services. Design/methodology/approach This study uses a modelling-based approach to identify and structure the organisational factors associated with the use of SMR in psychiatric inpatient mental health services. A qualitative coercion descriptive model (CD-Model) was constructed from literature reviews and surveys to identify influencing factors. These factors were then weighted through pairwise comparisons to develop a coercion quantitative model (CQ-Model) assessing hospitals’ capacity to minimise the use of SMR. Findings The CD-Model identified four hierarchical dimensions and 24 factors influencing coercion-related decision-making but lacked synthesis for decision makers. The CQ-Model addressed this by introducing 11 supervision indicators, derived through mathematical aggregation, providing a framework for organisational analysis. Research limitations/implications This study proposes a model-based approach that combines qualitative and quantitative methods to structure and prioritise organisational factors influencing restrictive practices. By integrating interdisciplinary expertise, the framework provides a structured and quantified representation of these factors, supporting organisational diagnosis and planning in mental health services. Practical implications The proposed framework offers a decision-support tool for organisational actors and decision makers in mental health services, linking influencing factors to specific organisational levels. The model can support institutional audits, supervision processes and quality-improvement initiatives aimed at reducing the use of SMR. Although based on data from France, the scalable structure of the framework may provide guidance for other healthcare systems. Originality/value This study introduces an original model-based approach that uniquely integrates both qualitative and quantitative methods to provide a systemic and structured analysis of coercive measures in mental healthcare, offering a scalable framework applicable across different organisational settings.

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Publication Details

Journal
Mental Health Review Journal
Published
2026-09-15
DOI
https://doi.org/10.1108/mhrj-04-2025-0031
Primary Topic
Healthcare Decision-Making and Restraints
Type
article
Field-Weighted Citation Impact
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article

Reducing seclusion and mechanical restraint: a systemic and decision-oriented framework for mental health services

Johanna Clerc, Sébastien Saetta, É. Fakra, Yvonne Quenum et al.
Mental Health Review Journal
Healthcare Decision-Making and Restraints
article

Reducing seclusion and mechanical restraint: a systemic and decision-oriented framework for mental health services

Johanna Clerc, Sébastien Saetta, É. Fakra, Yvonne Quenum, Cemre Günes Sengül, Magali Coldefy, Loïc Rohr, Xavier Boucher
article en

Abstract

Purpose This study aims to develop a systemic and decision-oriented model to understand the organisational factors influencing the use of restrictive measures, namely, seclusion and mechanical restraint (SMR), in psychiatric inpatient mental health services. Design/methodology/approach This study uses a modelling-based approach to identify and structure the organisational factors associated with the use of SMR in psychiatric inpatient mental health services. A qualitative coercion descriptive model (CD-Model) was constructed from literature reviews and surveys to identify influencing factors. These factors were then weighted through pairwise comparisons to develop a coercion quantitative model (CQ-Model) assessing hospitals’ capacity to minimise the use of SMR. Findings The CD-Model identified four hierarchical dimensions and 24 factors influencing coercion-related decision-making but lacked synthesis for decision makers. The CQ-Model addressed this by introducing 11 supervision indicators, derived through mathematical aggregation, providing a framework for organisational analysis. Research limitations/implications This study proposes a model-based approach that combines qualitative and quantitative methods to structure and prioritise organisational factors influencing restrictive practices. By integrating interdisciplinary expertise, the framework provides a structured and quantified representation of these factors, supporting organisational diagnosis and planning in mental health services. Practical implications The proposed framework offers a decision-support tool for organisational actors and decision makers in mental health services, linking influencing factors to specific organisational levels. The model can support institutional audits, supervision processes and quality-improvement initiatives aimed at reducing the use of SMR. Although based on data from France, the scalable structure of the framework may provide guidance for other healthcare systems. Originality/value This study introduces an original model-based approach that uniquely integrates both qualitative and quantitative methods to provide a systemic and structured analysis of coercive measures in mental healthcare, offering a scalable framework applicable across different organisational settings.

Mental Health Review Journal
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Mines Saint-Étienne (FR), Institut de Recherche et de Documentation en Économie de la Santé (FR), Centre de Recherche en Neurosciences de Lyon (FR), Institute Cancer De La Loire Lucien Neuwirth (FR), École Nationale Supérieure d'Architecture de Saint-Étienne (FR), Laboratoire COBRA (FR), Université Jean Monnet (FR)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Healthcare Decision-Making and Restraints
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