Family supplemented patient monitoring after surgery (SMARTER): a pilot stepped-wedge cluster-randomised trial.

Africa failure to rescue low- or middle-income country low-resource setting postoperative care surgery task sharing

Journal

British journal of anaesthesia
ISSN: 1471-6771
Titre abrégé: Br J Anaesth
Pays: England
ID NLM: 0372541

Informations de publication

Date de publication:
27 Jul 2024
Historique:
received: 10 01 2024
revised: 07 06 2024
accepted: 15 06 2024
medline: 29 7 2024
pubmed: 29 7 2024
entrez: 28 7 2024
Statut: aheadofprint

Résumé

Mortality after surgery in Africa is twice that in high-income countries. Most deaths occur on wards after patients develop postoperative complications. Family members might contribute meaningfully and safely to early recognition of deteriorating patients. This was a stepped-wedge cluster-randomised trial of an intervention training family members to support nursing staff to take and record patient vital signs every 4 h after surgery. Adult inpatients across four surgical wards (clusters) in a Ugandan hospital were included. Clusters crossed once from routine care to the SMARTER intervention at monthly intervals. The primary outcome was frequency of vital sign measurements from arrival on the postoperative ward to the end of the third postoperative day (3 days). We enrolled 1395 patients between April and October 2021. Mean age was 28.2 (range 5-89) yr; 85.7% were female. The most common surgical procedure was Caesarean delivery (74.8%). Median (interquartile range) number of sets of vital signs increased from 0 (0-1) in control wards to 3 (1-8) in intervention wards (incident rate ratio 12.4, 95% confidence interval [CI] 8.8-17.5, P<0.001). Mortality was 6/718 (0.84%) patients in the usual care group vs 12/677 (1.77%) in the intervention group (odds ratio 1.32, 95% CI 0.1-14.7, P=0.821). There was no difference in length of hospital stay between groups (usual care: 2 [2-3] days vs intervention: 2 [2-4] days; hazard ratio 1.11, 95% CI 0.84-1.47, P=0.44). Family member supplemented vital signs monitoring substantially increased the frequency of vital signs after surgery. Care interventions involving family members have the potential to positively impact patient care. NCT04341558.

Sections du résumé

BACKGROUND BACKGROUND
Mortality after surgery in Africa is twice that in high-income countries. Most deaths occur on wards after patients develop postoperative complications. Family members might contribute meaningfully and safely to early recognition of deteriorating patients.
METHODS METHODS
This was a stepped-wedge cluster-randomised trial of an intervention training family members to support nursing staff to take and record patient vital signs every 4 h after surgery. Adult inpatients across four surgical wards (clusters) in a Ugandan hospital were included. Clusters crossed once from routine care to the SMARTER intervention at monthly intervals. The primary outcome was frequency of vital sign measurements from arrival on the postoperative ward to the end of the third postoperative day (3 days).
RESULTS RESULTS
We enrolled 1395 patients between April and October 2021. Mean age was 28.2 (range 5-89) yr; 85.7% were female. The most common surgical procedure was Caesarean delivery (74.8%). Median (interquartile range) number of sets of vital signs increased from 0 (0-1) in control wards to 3 (1-8) in intervention wards (incident rate ratio 12.4, 95% confidence interval [CI] 8.8-17.5, P<0.001). Mortality was 6/718 (0.84%) patients in the usual care group vs 12/677 (1.77%) in the intervention group (odds ratio 1.32, 95% CI 0.1-14.7, P=0.821). There was no difference in length of hospital stay between groups (usual care: 2 [2-3] days vs intervention: 2 [2-4] days; hazard ratio 1.11, 95% CI 0.84-1.47, P=0.44).
CONCLUSIONS CONCLUSIONS
Family member supplemented vital signs monitoring substantially increased the frequency of vital signs after surgery. Care interventions involving family members have the potential to positively impact patient care.
CLINICAL TRIAL REGISTRATION BACKGROUND
NCT04341558.

Identifiants

pubmed: 39069451
pii: S0007-0912(24)00393-3
doi: 10.1016/j.bja.2024.06.027
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT04341558']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Adam Hewitt-Smith (A)

Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK; Department of Anaesthesia and Critical Care, Faculty of Health Sciences, Busitema University, Mbale, Uganda; Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda. Electronic address: adamhewittsmith@gmail.com.

Fred Bulamba (F)

Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK; Department of Anaesthesia and Critical Care, Faculty of Health Sciences, Busitema University, Mbale, Uganda; Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Akshaykumar Patel (A)

Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.

Juliana Nanimambi (J)

Comprehensive Rehabilitation Services in Uganda (CoRSU) Hospital, Kisubi, Uganda.

Lucy R Adong (LR)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Bernard Emacu (B)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Mary Kabaleta (M)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Justine Khanyalano (J)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Ayub H Maiga (AH)

Nexus Centre for Research and Innovations (NCRI), Wakiso, Uganda.

Charles Mugume (C)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Joanitah Nakibuule (J)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Loretta Nandyose (L)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Martin Sejja (M)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Winfred Weere (W)

Elgon Centre for Health Research and Innovation (ELCHRI), Mbale, Uganda.

Timothy Stephens (T)

Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.

Rupert M Pearse (RM)

Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.

Classifications MeSH