2021
DOI: 10.1177/20503121211036789
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In-hospital mortality and its predictors among stroke patients in sub-Saharan Africa: A systemic review and meta-analysis

Abstract: Objective: To assess the in-hospital mortality from acute stroke and its predictors in sub-Saharan Africa. Method: The literature search was conducted in the databases of PubMed/Medline, Embase, CINAHL, and Google Scholar. The retrieved studies were screened by titles and abstracts, and then full texts were assessed for eligibility. The methodological quality of the included studies was assessed using the Joanna Briggs Institute’s critical appraisal checklist. The publication bias was assessed using the funnel… Show more

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Cited by 17 publications
(16 citation statements)
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“…This concept is well supported by the current findings where lower admission GCS and altered mental status increased the odds of in-hospital mortality (OR = 8.51 and OR = 5.59, respectively. Besides, it was consistent with the systematic review and meta-analysis performed in the sub-Sharan Africa region, and other hospital-based studies in Uganda, Nigeria, and China [ 11 , 19 , 23 , 32 ].…”
Section: Discussionsupporting
confidence: 89%
See 1 more Smart Citation
“…This concept is well supported by the current findings where lower admission GCS and altered mental status increased the odds of in-hospital mortality (OR = 8.51 and OR = 5.59, respectively. Besides, it was consistent with the systematic review and meta-analysis performed in the sub-Sharan Africa region, and other hospital-based studies in Uganda, Nigeria, and China [ 11 , 19 , 23 , 32 ].…”
Section: Discussionsupporting
confidence: 89%
“…The pooled prevalence of in-hospital stroke mortality was found to be 14.03%. This finding was in line with the result of systematic reviews and meta-analyses conducted in Ethiopia and Eastern African countries with a mortality rates of 18% and 15%, respectively [ 16 , 19 ]. But it was higher than a study conducted in Argentina (2.5%) [ 20 ].…”
Section: Discussionsupporting
confidence: 88%
“…The difference in timing of stroke admissions among sub-Saharan countries could be explained by difference in health seeking behavior, access to a nearby health facility for early referral, and a preference to use alternative traditional treatments. Delay in admission could waste an effective intervention period to minimize subsequent neurological insults 16 , 27 . Stroke associated pneumonia complicated 36% of stroke patients.…”
Section: Discussionmentioning
confidence: 99%
“…A convenience sampling method was used to recruit 500 patients. Sample size was determined by considering 95% confidence interval, 5% margin of error, and previous estimated prevalence of stroke associated pneumonia 44% [17]. Demographic details, clinical characteristics, neurological features, and behavioral factors were different independent variables.…”
Section: Methodsmentioning
confidence: 99%