Factors predicting stroke specific quality of life in post stroke aphasia

Authors

  • Nimra Ilyas Bhutta Helping Hand Institute of Rehabilitation Sciences Trust https://orcid.org/0000-0002-7523-7833
  • Shehzad Waqar Sethi Ahmed Medical Institute, Peshawar, Pakistan https://orcid.org/0000-0002-2609-2287
  • Um-e- Habiba Helping Hand Institute of Rehabilitation Sciences Trust, Mansehra, Pakistan
  • Aadil Omer Islamabad College of Physiotherapy, Margalla Institute of Health Sciences Rawalpindi, Pakistan & PhD Scholar, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran https://orcid.org/0000-0003-2572-1392
  • Shahnoor Syed Aqsa Medical clinic Haripur and Chinnar Trust, Shahmaqsood, Pakistan
  • Syed Tariq Shah Riphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Islamabad, Pakistan
  • Ramsha Haroon Department of Rehabilitation Sciences, Shifa Tameer-e-Millat University, Islamabad Pakistan
  • Eimaan Butt Altrincham Grammer School for Girls, Altrincham, Manchester, United Kingdom

DOI:

https://doi.org/10.52567/trehabj.v7i04.22

Keywords:

aphasia, diabetes, quality of life, stroke

Abstract

Background: 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 that predicted the stroke-specific quality of life in post-stroke aphasia patients in Pakistan. 

Methodology: This cross-sectional analytical study was conducted over 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 months post-stroke, and able to follow one-step commands were included in the study through a 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(13,12)=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 cardiac disease compared to other comorbidities positively affect the quality of life in post-stroke aphasia patients. However, age and the family system did not show any impact on the quality of life.

Author Biographies

Nimra Ilyas Bhutta, Helping Hand Institute of Rehabilitation Sciences Trust

Lecturer

Shehzad Waqar Sethi , Ahmed Medical Institute, Peshawar, Pakistan

Lecturer

Um-e- Habiba, Helping Hand Institute of Rehabilitation Sciences Trust, Mansehra, Pakistan

Lecturer

Aadil Omer, Islamabad College of Physiotherapy, Margalla Institute of Health Sciences Rawalpindi, Pakistan & PhD Scholar, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran

Associate Professor & PhD Scholar

Shahnoor Syed, Aqsa Medical clinic Haripur and Chinnar Trust, Shahmaqsood, Pakistan

Clinical Physiotherapist

Syed Tariq Shah, Riphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Islamabad, Pakistan

Senior Lecturer

Ramsha Haroon, Department of Rehabilitation Sciences, Shifa Tameer-e-Millat University, Islamabad Pakistan

Clinical Instructor

Eimaan Butt, Altrincham Grammer School for Girls, Altrincham, Manchester, United Kingdom

Research Assistant

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Submitted

01-09-2023

Published

03-09-2023

Issue

Section

Research Article