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Enregistrement W3135162502 · doi:10.3310/hsdr09050

Non-pharmacological interventions to reduce restrictive practices in adult mental health inpatient settings: the COMPARE systematic mapping review

2021· article· en· W3135162502 sur OpenAlex
John Baker, Kathryn Berzins, Krysia Canvin, Iris Benson, Ian Kellar, Judy Wright, Rocío Rodriguez López, Joy Duxbury, Tim Kendall, Duncan Stewart

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Notice bibliographique

RevueHealth Services and Delivery Research · 2021
Typearticle
Langueen
DomainePsychology
ThématiqueHealthcare Decision-Making and Restraints
Établissements canadiensnon disponible
Organismes subventionnairesHealth Services and Delivery Research Programme
Mots-clésPsycINFOPsychological interventionCINAHLGrey literatureSystematic reviewMEDLINEMedicineMental healthHealth careNursingPsychiatry

Résumé

récupéré en direct d'OpenAlex

Objectives The study aimed to provide a mapping review of non-pharmacological interventions to reduce restrictive practices in adult mental health inpatient settings; classify intervention components using the behaviour change technique taxonomy; explore evidence of behaviour change techniques and interventions; and identify the behaviour change techniques that show most effectiveness and those that require further testing. Background Incidents involving violence and aggression occur frequently in adult mental health inpatient settings. They often result in restrictive practices such as restraint and seclusion. These practices carry significant risks, including physical and psychological harm to service users and staff, and costs to the NHS. A number of interventions aim to reduce the use of restrictive practices by using behaviour change techniques to modify practice. Some interventions have been evaluated, but effectiveness research is hampered by limited attention to the specific components. The behaviour change technique taxonomy provides a common language with which to specify intervention content. Design Systematic mapping study and analysis. Data sources English-language health and social care research databases, and grey literature, including social media. The databases searched included British Nursing Index (BNI), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials (CCRCT), Cochrane Database of Systematic Reviews (CDSR), Database of Abstracts of Reviews of Effects (DARE), EMBASE, Health Technology Assessment (HTA) Database, HTA Canadian and International, Ovid MEDLINE ® , NHS Economic Evaluation Database (NHS EED), PsycInfo ® and PubMed. Databases were searched from 1999 to 2019. Review methods Broad literature search; identification, description and classification of interventions using the behaviour change technique taxonomy; and quality appraisal of reports. Records of interventions to reduce any form of restrictive practice used with adults in mental health services were retrieved and subject to scrutiny of content, to identify interventions; quality appraisal, using the Mixed Methods Appraisal Tool; and data extraction, regarding whether participants were staff or service users, number of participants, study setting, intervention type, procedures and fidelity. The resulting data set for extraction was guided by the Workgroup for Intervention Development and Evaluation Research, Cochrane and theory coding scheme recommendations. The behaviour change technique taxonomy was applied systematically to each identified intervention. Intervention data were examined for overarching patterns, range and frequency. Overall percentages of behaviour change techniques by behaviour change technique cluster were reported. Procedures used within interventions, for example staff training, were described using the behaviour change technique taxonomy. Results The final data set comprised 221 records reporting 150 interventions, 109 of which had been evaluated. The most common evaluation approach was a non-randomised design. There were six randomised controlled trials. Behaviour change techniques from 14 out of a possible 16 clusters were detected. Behaviour change techniques found in the interventions were most likely to be those that demonstrated statistically significant effects. The most common intervention target was seclusion and restraint reduction. The most common strategy was staff training. Over two-thirds of the behaviour change techniques mapped onto four clusters, that is ‘goals and planning’, ‘antecedents’, ‘shaping knowledge’ and ‘feedback and monitoring’. The number of behaviour change techniques identified per intervention ranged from 1 to 33 (mean 8 techniques). Limitations Many interventions were poorly described and might have contained additional behaviour change techniques that were not detected. The finding that the evidence was weak restricted the study’s scope for examining behaviour change technique effectiveness. The literature search was restricted to English-language records. Conclusions Studies on interventions to reduce restrictive practices appear to be diverse and poor. Interventions tend to contain multiple procedures delivered in multiple ways. Future work Prior to future commissioning decisions, further research to enhance the evidence base could help address the urgent need for effective strategies. Testing individual procedures, for example, audit and feedback, could ascertain which are the most effective intervention components. Separate testing of individual components could improve understanding of content and delivery. Study registration The study is registered as PROSPERO CRD42018086985. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research ; Vol. 9, No. 5. See the NIHR Journals Library website for further project information.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,291
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0080,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,260
Tête enseignante GPT0,555
Écart entre enseignants0,295 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle