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Evaluating the Baseline Quality Improvement Factors Affecting Discharge Readiness and Quality of Discharge Teaching in Patients
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Author(s): Brijith Baby (Department of Health Care and Hospital Management, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India), Brayal Dsouza (Department of Health Care and Hospital Management, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India), B. Unnikrishnan (Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India), Navya Vyas (Department of Global Public Health Policy and Governance, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India), Kirthinath Ballal (Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India), Aparna Pai (Department of Neurology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India)and Swathi K. S. (Department of Health Care and Hospital Management, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India)
Copyright: 2026
Volume: 15
Issue: 1
Pages: 14
Source title:
International Journal of Reliable and Quality E-Healthcare (IJRQEH)
Editor(s)-in-Chief: Anastasius Moumtzoglou (Hellenic Society for Quality & Safety in Healthcare and P. & A. Kyriakou Children's Hospital, Greece)
DOI: 10.4018/IJRQEH.402011
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Abstract
This study measured the quality of discharge teaching and discharge readiness levels in ischemic stroke patients to understand the factors affecting the discharge. A total of 120 patients with mild-to-moderate ischemic stroke were recruited using simple random sampling. Three instruments, namely, a demographic data questionnaire, the readiness for hospital discharge scale, and the quality of discharge teaching scale, were used for data collection. Descriptive statistical analysis and parametric tests with a correlation matrix, one-way analysis of variance, and independent t-tests were used for data analysis, providing robust evidence that the quality of discharge teaching was strongly correlated with patient readiness (r = 0.625, p<0.001) and underscoring that effective education was a key, modifiable factor for improving outcomes. The results advocated for preemptive screening and individualized discharge plans to enhance care quality and reduce readmission risks.
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