Background
Whether
stroke patients resume domestic chores is one of the major issues
associated with their quality of life. Prediction models for domestic
chores resumption among stroke survivors can be useful for setting goals
and planning rehabilitation.
Objectives
To
develop prediction models for individual domestic chores resumption
among mild stroke patients three months after discharge from specialized
rehabilitation wards.
Methods
Ninety-one
stroke patients admitted to specialized rehabilitation wards were
included in the analyses. We assessed the prestroke and three months
post-discharge frequencies of six domestic chore items of the Frenchay
Activities Index. Demographics and candidate predictors such as
paralysis severity, cognitive function, walking speed, and self-efficacy
were collected at discharge. Binary logistic regression analyses were
performed to build prediction models for individual domestic chores
resumption after stroke.
Results
The
preparing meals model included walking speed (OR = 1.05) and cognitive
function (OR = 1.29) as predictors; washing up model, walking speed
(OR = 1.04); washing clothes model, walking speed (OR = 1.06), and
number of family members living together (OR = 0.42); light housework
model, walking speed (OR = 1.06); heavy housework model, walking speed
(OR = 1.03), cognitive function (OR = 1.38), and self-efficacy
(OR = 1.91); and local shopping model, walking speed (OR = 1.05), age
(OR = 0.94), and number of family members living together (OR = 0.61).
Conclusions
Our
models may be useful in clinical practice to streamline the setting of
goals(the only goal in stroke is 100% recovery, don't try to dumb it down) and development of therapeutic strategies for individual domestic
chores resumption among mild stroke patients.
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