Interventions for improving critical care in low- and middle-income countries: a systematic review.

Critical care Implementation science Intensive Care LMICs Quality improvement Service improvement

Journal

Intensive care medicine
ISSN: 1432-1238
Titre abrégé: Intensive Care Med
Pays: United States
ID NLM: 7704851

Informations de publication

Date de publication:
15 May 2024
Historique:
received: 18 08 2023
accepted: 27 02 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 15 5 2024
Statut: aheadofprint

Résumé

To systematically review the typology, impact, quality of evidence, barriers, and facilitators to implementation of Quality Improvement (QI) interventions for adult critical care in low- and middle-income countries (LMICs). MEDLINE, EMBASE, Cochrane Library and ClinicalTrials.gov were searched on 1st September 2022. The studies were included if they described the implementation of QI interventions for adult critical care in LMICs, available as full text, in English and published after 2000. The risks of bias were assessed using the ROB 2.0/ROBINS-I tools. Intervention strategies were categorised according to a Knowledge Translation framework. Interventions' effectiveness were synthesised by vote counting and assessed with a binomial test. Barriers and facilitators to implementation were narratively synthesised using the Consolidated Framework for Implementation Research. 78 studies were included. Risk of bias was high. The most common intervention strategies were Education, Audit & Feedback (A&F) and Protocols/Guidelines/Bundles/Checklists (PGBC). Two multifaceted strategies improved both process and outcome measures: Education and A&F (p = 0.008); and PGBC with Education and A&F (p = 0.001, p < 0.001). Facilitators to implementation were stakeholder engagement, organisational readiness for implementation, and adaptability of interventions. Barriers were lack of resources and incompatibility with local systems. There was a lack of evidence from low-income countries. The evidence for QI in critical care in LMICs is sparse and at high risk of bias but suggests that multifaceted interventions are most effective. Co-designing interventions with and engaging stakeholders, communicating relative advantages, employing local champions and adapting to feedback can improve implementation. Hybrid study designs, process evaluations and adherence to reporting guidelines would improve the evidence base.

Identifiants

pubmed: 38748264
doi: 10.1007/s00134-024-07377-9
pii: 10.1007/s00134-024-07377-9
doi:

Types de publication

Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Wellcome Trust
ID : Award 224048/Z/21/Z
Pays : United Kingdom

Informations de copyright

© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Duncan Wagstaff (D)

University College London, London, UK.

Sumaiya Arfin (S)

The George Institute for Global Health, New Delhi, India. sarfin@georgeinstitute.org.in.

Alba Korver (A)

Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

Patrick Chappel (P)

University College London, London, UK.

Aasiyah Rashan (A)

University College London, London, UK.

Rashan Haniffa (R)

Pandemic Sciences Hub and Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK.
NICS-MORU, Colombo, Sri Lanka.

Abi Beane (A)

Pandemic Sciences Hub and Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK.
NICS-MORU, Colombo, Sri Lanka.

Classifications MeSH