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Research Article

Accuracy of the Australian National Sub-Acute and Non-Acute Patient Classification in predicting rehabilitation length of stay for stroke survivors who are ≥65 years of age and have lateropulsion

ORCID Icon, ORCID Icon, ORCID Icon, & ORCID Icon
Pages 203-211 | Received 08 May 2021, Accepted 12 Nov 2021, Published online: 04 Jan 2022
 

ABSTRACT

Background

Lateropulsion is a common impairment after stroke. Regardless of stroke severity, functional recovery is slower in people with lateropulsion, resulting in requirement for longer rehabilitation duration. In Australia, inpatient rehabilitation funding is determined via the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP). AN-SNAP class is determined using age, diagnosis, weighted Functional Independence Measure (FIM) motor score, and FIM cognitive score.

Objectives

To explore accuracy of the AN-SNAP to predict length of stay (LOS) for people with poststroke lateropulsion.

Methods

A retrospective database audit was undertaken. AN-SNAP predicted LOS for each participant was calculated based on 2019 calendar year national benchmarks. A multivariable linear regression model estimated mean differences in reported LOS and AN-SNAP predicted LOS after adjusting for lateropulsion severity (Four Point Pusher Score). A separate logistic regression model assessed whether FIM change during admission was associated with reported LOS exceeding AN-SNAP predicted LOS.

Results

Data were available from 1126 admissions. Reported LOS exceeding AN-SNAP predicted LOS was associated with greater lateropulsion severity on admission. Where AN-SNAP predicted LOS was longer, those with no lateropulsion on admission showed shorter reported than predicted LOS. Greater improvement in FIM during rehabilitation was associated with increased odds of reported LOS exceeding AN-SNAP predicted LOS (OR 1.02, 95%CI 1.01–1.03, p < .001).

Conclusions

Inclusion of a measure of poststroke lateropulsion in the AN-SNAP classification model would result in more accurate LOS predictions to inform funding. Costs of longer rehabilitation LOS may be countered by optimized long-term physical function, reducing requirement for ongoing care.

Acknowledgments

The authors would like to acknowledge the work of all past and current Osborne Park Hospital Stroke Services team members who contributed to the development and maintenance of the stroke database, and to thank the Osborne Park Hospital Physiotherapy Department, Stroke Services and Medical Records teams for their support over the course of this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by a Department of Health/Raine Foundation Clinician Research Fellowship (Raine Medical Research Foundation CRF04-R9 the Charlies Foundation for Research (RAC 2019-20-019) and the Australian Government Research Training Program Scholarship.

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