Correlation of patient-reported outcome measures to performance-based function in critical care survivors: PREDICTABLE

Michelle Paton; Rebecca Lane; Eldho Paul; Natalie Linke; Yahya Shehabi; Carol L Hodgson

doi:10.1016/j.aucc.2022.05.006

Correlation of patient-reported outcome measures to performance-based function in critical care survivors: PREDICTABLE

Aust Crit Care. 2023 Jul;36(4):485-491. doi: 10.1016/j.aucc.2022.05.006. Epub 2022 Jul 7.

Authors

Michelle Paton¹, Rebecca Lane², Eldho Paul³, Natalie Linke³, Yahya Shehabi⁴, Carol L Hodgson⁵

Affiliations

¹ Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, VIC, 3004, Australia; Department of Physiotherapy, Monash Health, Clayton, VIC, 3168, Australia.
² College of Health and Biomedicine, Victoria University, Footscray, VIC, 3011, Australia.
³ Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, VIC, 3004, Australia.
⁴ Department of Intensive Care, Monash Health School of Clinical Sciences, Monash University, Clayton, VIC, 3168, Australia.
⁵ Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, VIC, 3004, Australia; Department of Physiotherapy, Alfred Hospital, Melbourne, VIC, 3004, Australia. Electronic address: carol.hodgson@monash.edu.

PMID: 35810078
DOI: 10.1016/j.aucc.2022.05.006

Abstract

Background: Establishing sequela following critical illness is a public health priority; however, recruitment and retention of this cohort make assessing functional outcomes difficult. Completing patient-reported outcome measures (PROMs) via telephone may improve participant and researcher involvement; however, there is little evidence regarding the correlation of PROMs to performance-based outcome measures in critical care survivors.

Objectives: The objective of this study was to assess the relationship between self-reported and performance-based measures of function in survivors of critical illness.

Methods: This was a nested cohort study of patients enrolled within a previously published study determining predictors of disability-free survival. Spearman's correlation (r_s) was calculated between four performance-based outcomes (the Functional Independence Measure [FIM], 6-min walk distance [6MWD], Functional Reach Test [FRT], and grip strength) that were collected during a home visit 6 months following their intensive care unit admission, with two commonly used PROMs (World Health Organization Disability Assessment Scale 2.0 12 Level [WHODAS 2.0] and EuroQol-5 Dimension-5 Level [EQ-5D-5L]) obtained via phone interview (via the PREDICT study) at the same time point.

Results: There were 38 PROMs obtained from 40 recruited patients (mean age = 59.8 ± 16 yrs, M:F = 24:16). All 40 completed the FIM and grip strength, 37 the 6MWD, and 39 the FRT. A strong correlation was found between the primary outcome of the WHODAS 2.0 with all performance-based outcomes apart from grip strength where a moderate correlation was identified. Although strong correlations were also established between the EQ-5D-5L utility score and the FIM, 6MWD, and FRT, it only correlated weakly with grip strength. The EQ-5D overall global health rating only had very weak to moderate correlations with the performance-based outcomes.

Conclusion: The WHODAS 2.0 correlated stronger across multiple performance-based outcome measures of functional recovery and is recommended for use in survivors of critical illness.

Keywords: Critical care; Critical care outcomes; Intensive care units; Physical functional performance; Physical therapy modalities.

MeSH terms

Adult
Aged
Cohort Studies
Critical Care
Critical Illness*
Humans
Middle Aged
Patient Reported Outcome Measures
Quality of Life*
Surveys and Questionnaires
Survivors