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澳大利亚国家亚急性和非急性患者分类系统对≥65 岁且有侧方移位的脑卒中幸存者的康复住院时间预测的准确性。

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.

机构信息

School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia.

Physiotherapy Department, Osborne Park Hospital, Stirling, Western Australia.

出版信息

Top Stroke Rehabil. 2023 Mar;30(2):203-211. doi: 10.1080/10749357.2021.2008594. Epub 2022 Jan 4.

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, < .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.

摘要

背景

侧方移行是中风后的常见障碍。无论中风严重程度如何,有侧方移行的患者功能恢复较慢,导致康复时间延长。在澳大利亚,住院康复费用是通过澳大利亚国家亚急性和非急性患者分类(AN-SNAP)确定的。AN-SNAP 类别是根据年龄、诊断、加权功能独立性测量(FIM)运动评分和 FIM 认知评分来确定的。

目的

探讨 AN-SNAP 预测中风后侧方移行患者住院时间(LOS)的准确性。

方法

进行了回顾性数据库审核。根据 2019 年的国家基准,计算每位参与者的 AN-SNAP 预测 LOS。在调整侧方移行严重程度(四点推挤评分)后,使用多变量线性回归模型估计报告的 LOS 和 AN-SNAP 预测 LOS 之间的平均差异。另一个逻辑回归模型评估入院期间 FIM 的变化是否与报告的 LOS 超过 AN-SNAP 预测 LOS 有关。

结果

共 1126 例住院患者的数据可用。报告的 LOS 超过 AN-SNAP 预测 LOS 与入院时侧方移行严重程度较高相关。在 AN-SNAP 预测 LOS 较长的情况下,入院时无侧方移行的患者报告的 LOS 短于预测的 LOS。康复期间 FIM 的改善越大,报告的 LOS 超过 AN-SNAP 预测 LOS 的可能性就越大(OR 1.02,95%CI 1.01-1.03,<0.001)。

结论

在 AN-SNAP 分类模型中纳入中风后侧方移行的测量方法,将使 LOS 预测更加准确,从而为资金提供信息。更长的康复 LOS 成本可能会因优化的长期身体功能而得到补偿,从而减少对持续护理的需求。

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