Factors predicting long-term recovery from post-stroke aphasia

Harvey, Denise Y.; Parchure, Shreya; Hamilton, Roy H.

doi:10.1080/02687038.2021.1966374

Cited by 7 publications

(1 citation statement)

References 53 publications

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“…Aphasia is present in 21-38% of acute stroke patients and is associated with high short-and long-term morbidity, mortality, and expenditure [5]. Recovery from aphasia is possible even in severe cases.…”

Section: Introductionmentioning

confidence: 99%

Factors Predict the Stroke Specific Quality Of Life In Post Stroke Aphasia Patients in Pakistan

Kanwal

Kiyani

Aftab³

et al. 2023

Preprint

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Background Stroke-specific quality of life (QoL) is an important outcome measure in stroke rehabilitation, reflecting the impact of stroke and its associated impairments on an individual's overall well-being and daily functioning. Understanding the factors that predict stroke specific QoL in post-stroke aphasia patients in Pakistan is crucial for developing targeted interventions and improving the rehabilitation process. Objective to determine the factors predicted the stroke specific quality of life in post stroke aphasia patients in Pakistan. Methodology : This cross-sectional analytical study was conducted in 18 months from June 2021 to December 2022 at RHS Rehabilitation Centre Islamabad Pakistan. A total of n = 134 independent participants with fluent and non-fluent aphasia at least six-month post stroke, and able to follow one step command were included in the study through non-probability convenient sampling technique. The stroke specific quality of life (SS-QoL) scale was used to assess the quality of life in the participants, while the list of predictors was developed from the literature. SPSS version 21 was used for statistical analysis. Result A multiple regression was run to predict the quality of life from marital status, gender, family status, patient's socioeconomic status, types of strokes, types of aphasia, and comorbidities. These variables statistically significantly predicted quality of life {F(13,120) = 10.366, p < 0.001}. All variables cause 47.8% (Adj. R2 = 0.478) variance in stroke specific quality of life in aphasia patients. Conclusion the male gender, married marital status, middle and upper socioeconomic status, ischemic stroke compared to hemorrhagic stroke, fluent aphasia, and the cardiac disease compared to other comorbidities positively affect the quality of life in post stroke aphasia patients. But age and the family system did not show any impact on the quality of life.

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Section: Introductionmentioning

confidence: 99%