| Title: |
Response to physical rehabilitation and recovery trajectories following critical illness: Individual participant data meta-analysis protocol |
| Authors: |
Jones, JRA; Berney, S; Berry, MJ; Files, DC; Griffith, DM; McDonald, LA; Morris, PE; Moss, M; Nordon-Craft, A; Walsh, T; Gordon, I; Karahalios, A; Puthucheary, Z; Denehy, L |
| Publisher Information: |
BMJ PUBLISHING GROUP |
| Publication Year: |
2020 |
| Collection: |
The University of Melbourne: Digital Repository |
| Description: |
INTRODUCTION: The number of inconclusive physical rehabilitation randomised controlled trials for patients with critical illness is increasing. Evidence suggests critical illness patient subgroups may exist that benefit from targeted physical rehabilitation interventions that could improve their recovery trajectory. We aim to identify critical illness patient subgroups that respond to physical rehabilitation and map recovery trajectories according to physical function and quality of life outcomes. Additionally, the utilisation of healthcare resources will be examined for subgroups identified. METHODS AND ANALYSIS: This is an individual participant data meta-analysis protocol. A systematic literature review was conducted for randomised controlled trials that delivered additional physical rehabilitation for patients with critical illness during their acute hospital stay, assessed chronic disease burden, with a minimum follow-up period of 3 months measuring performance-based physical function and health-related quality of life outcomes. From 2178 records retrieved in the systematic literature review, four eligible trials were identified by two independent reviewers. Principal investigators of eligible trials were invited to contribute their data to this individual participant data meta-analysis. Risk of bias will be assessed (Cochrane risk of bias tool for randomised trials). Participant and trial characteristics, interventions and outcomes data of included studies will be summarised. Meta-analyses will entail a one-stage model, which will account for the heterogeneity across and the clustering between studies. Multiple imputation using chained equations will be used to account for the missing data. ETHICS AND DISSEMINATION: This individual participant data meta-analysis does not require ethical review as anonymised participant data will be used and no new data collected. Additionally, eligible trials were granted approval by institutional review boards or research ethics committees and informed consent was ... |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
2044-6055 |
| Relation: |
NHMRC/454717; https://hdl.handle.net/11343/246344 |
| Availability: |
https://hdl.handle.net/11343/246344 |
| Rights: |
https://creativecommons.org/licenses/by-nc/4.0 ; CC BY-NC |
| Accession Number: |
edsbas.DFCC4111 |
| Database: |
BASE |