Knowledge of risk factors and warning signs of stroke among patients with heart disease at Tikur Anbessa specialized hospital
| dc.contributor.advisor | Wubetie, Andualem(BSc, MSc) | |
| dc.contributor.advisor | Dr.Kebede, Sofia(Assistance professor of Emergency medicine and critical care) | |
| dc.contributor.advisor | Dr.Fekadu, Chaladu (Internist, Cardiologist, Assistant professor) | |
| dc.contributor.author | Workina, Abdeta | |
| dc.date.accessioned | 2020-07-22T06:20:01Z | |
| dc.date.accessioned | 2023-11-05T09:38:11Z | |
| dc.date.available | 2020-07-22T06:20:01Z | |
| dc.date.available | 2023-11-05T09:38:11Z | |
| dc.date.issued | 2020-06 | |
| dc.description.abstract | Background: -Stroke is a leading cause of mortality and disability worldwide and the economic costs of treatment and post-stroke care are extensive. A good functional outcome of stroke begins when patients immediately identify its warning signs. The inability to identify stroke warning signs accurately is an important cause of delay in seeking medical attention, leading to potential ineligibility for acute intervention and which leads to secondary complications. The increasing global stroke burden is strongly due to poor community knowledge of stroke risk factors and its warning signs. Objective: -the objective of this study was to identify cardiac patients' knowledge of stroke risk factors and warning signs. Methods: Institutional based cross-sectional study design was employed. Participants were selected using systematic random sampling. Standard stroke awareness close endedquestionnaires used in the previous studies were adapted. Questionnaires were pretested and validated for consistency before data collection. Then after data collection data were checked and entered into Epidata 4.6. finally, the cleaned data was exported to SPSS version 25 for analysis. Statistical analysis using binary logistic regression was done and Predictors with p-value of <0.05 were considered statistically significant. Finally based on the findings data was presented using statements, tables, and figures. Results: A total of 227 patients were included in the study, of which 140(61.7%) of them identified physical inactivity, followed by hypertension126(55.5%) as stroke risk factor while 15.4% of them didn't know any risk factor of stroke. Amongst the study participants, 45.81% of them had adequate knowledge of stroke risk factors. Regarding stroke warning signs the most identified sign was sudden unilateral weakness 142(62.6%) while, 46(20.26%) of them didn't know at least one warning signs of a stroke. Based on multivariable logistic regression analysis higher education level AOR 3.05(95% CI 1.62-5.74) and Urban residence area AOR 2.07(95%CI 1.05-4.1) were significantly associated with knowledge of stroke risk factors with p-value<0.05. Conclusion: study participants had inadequate knowledge of stroke risk factors and warning signs. Educational status and information about stroke are significantly associated with adequate knowledge of stroke risk factors, raising stroke awareness is the mainstay to reduce stroke burden. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/21936 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Abeba University | en_US |
| dc.subject | knowledge; risk factors; stroke; warning sign | en_US |
| dc.title | Knowledge of risk factors and warning signs of stroke among patients with heart disease at Tikur Anbessa specialized hospital | en_US |
| dc.type | Thesis | en_US |