988368
Thu, Jan 16, 2025
Volume 18, Issue 4 (December 2020)
Iranian Rehabilitation Journal 2020, 18(4): 485-496 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shaikhul Hasan M, Anusaksathien K, Siripornpibul T, Narattharaksa K. Assessing Post-stroke Outpatients’ Rehabilitation Service Quality Gaps in Bangladesh. Iranian Rehabilitation Journal 2020; 18 (4) :485-496
URL: http://irj.uswr.ac.ir/article-1-1159-en.html
URL: http://irj.uswr.ac.ir/article-1-1159-en.html
Mohammad Shaikhul Hasan * 
1, Kantabhat Anusaksathien1 , Taweesak Siripornpibul1 , Kanida Narattharaksa1
1, Kantabhat Anusaksathien1 , Taweesak Siripornpibul1 , Kanida Narattharaksa1
1- Health Systems Management, Faculty of Social Science, Naresuan University, Phitsanulok, Thailand.
Abstract: (2863 Views)
Objectives: The majority (80%) of stroke survivors in Bangladesh have lived with either minor or major physical, emotional, and cognitive disabilities. Due to patients’ poor perceived experience in healthcare services, participation in rehabilitation care has become a significant challenge for them. Consequently, it increases the burden of stroke disability. Therefore, this study aimed to measure the gaps in post-stroke outpatients’ rehabilitation Service Quality (SQ) and factors related to these gaps.
Methods: A cross-sectional descriptive study was administered on 311 post-stroke outpatients who were selected by stratified sampling method from 5 divisional centers of a rehabilitation hospital. Data collection tools consisted of the following: a demographic information form and a modified Service Quality (SERVQUAL) questionnaire. Cronbach’s alpha coefficient was applied to analyze the internal consistency. Besides, Pearson’s (r) correlation test was applied to examine the correlation coefficient between the explored items. The obtained data were analyzed by descriptive statistics, Paired Samples t-test, and Eta-statistic (δ) of the Analysis of Variance (ANOVA).
Results: Patients’ expectations were rated higher than the perceptions in all dimensions of rehabilitation SQ and indicated a significant gap (t=-29.604, P<0.001). Patients’ occupation (δ=0.189), family status (δ=0.289), pre-stroke daily activities (δ=0.235), and post-stroke disability (δ=0.286) indicated a significant relationship with the gaps in rehabilitation SQ.
Discussion: Post-stroke rehabilitation SQ gaps are required to be addressed by considering the factors related to these gaps. Most importantly, the rehabilitation hospital must integrate the continuous quality improvement monitoring systems to enhance SQ as well as patients’ participation in rehabilitation care programs.
Methods: A cross-sectional descriptive study was administered on 311 post-stroke outpatients who were selected by stratified sampling method from 5 divisional centers of a rehabilitation hospital. Data collection tools consisted of the following: a demographic information form and a modified Service Quality (SERVQUAL) questionnaire. Cronbach’s alpha coefficient was applied to analyze the internal consistency. Besides, Pearson’s (r) correlation test was applied to examine the correlation coefficient between the explored items. The obtained data were analyzed by descriptive statistics, Paired Samples t-test, and Eta-statistic (δ) of the Analysis of Variance (ANOVA).
Results: Patients’ expectations were rated higher than the perceptions in all dimensions of rehabilitation SQ and indicated a significant gap (t=-29.604, P<0.001). Patients’ occupation (δ=0.189), family status (δ=0.289), pre-stroke daily activities (δ=0.235), and post-stroke disability (δ=0.286) indicated a significant relationship with the gaps in rehabilitation SQ.
Discussion: Post-stroke rehabilitation SQ gaps are required to be addressed by considering the factors related to these gaps. Most importantly, the rehabilitation hospital must integrate the continuous quality improvement monitoring systems to enhance SQ as well as patients’ participation in rehabilitation care programs.
Keywords: Patient expectation, Patient perception, Post-stroke, Rehabilitation service quality, Service Quality model
Article type: Original Research Articles |
Subject:
Rehabilitation Management
Received: 2020/04/17 | Accepted: 2021/02/1 | Published: 2020/12/1
Received: 2020/04/17 | Accepted: 2021/02/1 | Published: 2020/12/1
Send email to the article author
Copyright © The Author(s);
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Contact Information
