Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis
BackgroundHeart failure (HF) is a leading cause of morbidity and mortality worldwide. Various factors can exacerbate disease progression in patients with HF and negatively impact treatment outcomes. This study aims to evaluate the pooled prevalence and contributing factors associated with poor heart...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Series: | Frontiers in Cardiovascular Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2024.1434265/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850243512440717312 |
|---|---|
| author | Firomsa Bekele Lalise Tafese Ginenus Fekadu Ginenus Fekadu Geleta Nenko Dube Dinka Dugassa Dagim Samuel |
| author_facet | Firomsa Bekele Lalise Tafese Ginenus Fekadu Ginenus Fekadu Geleta Nenko Dube Dinka Dugassa Dagim Samuel |
| author_sort | Firomsa Bekele |
| collection | DOAJ |
| description | BackgroundHeart failure (HF) is a leading cause of morbidity and mortality worldwide. Various factors can exacerbate disease progression in patients with HF and negatively impact treatment outcomes. This study aims to evaluate the pooled prevalence and contributing factors associated with poor heart failure treatment outcomes in Ethiopia.MethodsA systematic review and meta-analysis were conducted using five databases: Google Scholar, ScienceDirect, Hinari, PubMed, and Scopus. In total, 12 studies met the eligibility criteria for inclusion in this analysis. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Data extraction was performed using a Microsoft Excel spreadsheet, and statistical analysis was conducted with STATA 14. The Joanna Briggs Institute Meta-analysis of Statistics Assessment and Review Instrument was utilized for quality assessment. Heterogeneity among the studies was evaluated using the I2 statistic and the Cochrane Q test. Publication bias was assessed using Begg's test, Egger's weighted regression, and funnel plots.ResultsThe pooled prevalence of poor HF treatment outcomes was found to be 16.67% [95% confidence interval (CI): 10.67–22.67]. No significant heterogeneity was observed across the included studies (I2 = 0.0%, p = 0.962). Significant predictors of a poor treatment outcome were smoking cigarettes [adjusted odds ratio (AOR) = 10.74; 95% CI: 3.24–35.63] and medication-related problems (AOR = 3.99; 95% CI: 1.90–8.37).ConclusionThe prevalence of poor HF treatment outcomes in Ethiopia was found to be high. Smoking cigarettes and medication-related problems are significant predictors of these adverse outcomes. Comprehensive health education and improved clinical pharmacy services are essential for addressing these issues.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023437397, PROSPERO (CRD42023437397). |
| format | Article |
| id | doaj-art-7fc14a486bed4e98909cca50e26fb0fe |
| institution | OA Journals |
| issn | 2297-055X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj-art-7fc14a486bed4e98909cca50e26fb0fe2025-08-20T01:59:57ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2024-12-011110.3389/fcvm.2024.14342651434265Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysisFiromsa Bekele0Lalise Tafese1Ginenus Fekadu2Ginenus Fekadu3Geleta Nenko Dube4Dinka Dugassa5Dagim Samuel6Department of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, EthiopiaDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, EthiopiaDepartment of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, EthiopiaDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR, ChinaDepartment of Health Informatics, College of Health Science, Mattu University, Mattu, EthiopiaDepartment of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, EthiopiaDepartment of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, EthiopiaBackgroundHeart failure (HF) is a leading cause of morbidity and mortality worldwide. Various factors can exacerbate disease progression in patients with HF and negatively impact treatment outcomes. This study aims to evaluate the pooled prevalence and contributing factors associated with poor heart failure treatment outcomes in Ethiopia.MethodsA systematic review and meta-analysis were conducted using five databases: Google Scholar, ScienceDirect, Hinari, PubMed, and Scopus. In total, 12 studies met the eligibility criteria for inclusion in this analysis. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Data extraction was performed using a Microsoft Excel spreadsheet, and statistical analysis was conducted with STATA 14. The Joanna Briggs Institute Meta-analysis of Statistics Assessment and Review Instrument was utilized for quality assessment. Heterogeneity among the studies was evaluated using the I2 statistic and the Cochrane Q test. Publication bias was assessed using Begg's test, Egger's weighted regression, and funnel plots.ResultsThe pooled prevalence of poor HF treatment outcomes was found to be 16.67% [95% confidence interval (CI): 10.67–22.67]. No significant heterogeneity was observed across the included studies (I2 = 0.0%, p = 0.962). Significant predictors of a poor treatment outcome were smoking cigarettes [adjusted odds ratio (AOR) = 10.74; 95% CI: 3.24–35.63] and medication-related problems (AOR = 3.99; 95% CI: 1.90–8.37).ConclusionThe prevalence of poor HF treatment outcomes in Ethiopia was found to be high. Smoking cigarettes and medication-related problems are significant predictors of these adverse outcomes. Comprehensive health education and improved clinical pharmacy services are essential for addressing these issues.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023437397, PROSPERO (CRD42023437397).https://www.frontiersin.org/articles/10.3389/fcvm.2024.1434265/fulltreatment outcomeassociated factorsEthiopiaheart failureprevalence |
| spellingShingle | Firomsa Bekele Lalise Tafese Ginenus Fekadu Ginenus Fekadu Geleta Nenko Dube Dinka Dugassa Dagim Samuel Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis Frontiers in Cardiovascular Medicine treatment outcome associated factors Ethiopia heart failure prevalence |
| title | Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis |
| title_full | Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis |
| title_fullStr | Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis |
| title_full_unstemmed | Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis |
| title_short | Prevalence and predictors of poor heart failure treatment outcomes in Ethiopia: a systematic review and meta-analysis |
| title_sort | prevalence and predictors of poor heart failure treatment outcomes in ethiopia a systematic review and meta analysis |
| topic | treatment outcome associated factors Ethiopia heart failure prevalence |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2024.1434265/full |
| work_keys_str_mv | AT firomsabekele prevalenceandpredictorsofpoorheartfailuretreatmentoutcomesinethiopiaasystematicreviewandmetaanalysis AT lalisetafese prevalenceandpredictorsofpoorheartfailuretreatmentoutcomesinethiopiaasystematicreviewandmetaanalysis AT ginenusfekadu prevalenceandpredictorsofpoorheartfailuretreatmentoutcomesinethiopiaasystematicreviewandmetaanalysis AT ginenusfekadu prevalenceandpredictorsofpoorheartfailuretreatmentoutcomesinethiopiaasystematicreviewandmetaanalysis AT geletanenkodube prevalenceandpredictorsofpoorheartfailuretreatmentoutcomesinethiopiaasystematicreviewandmetaanalysis AT dinkadugassa prevalenceandpredictorsofpoorheartfailuretreatmentoutcomesinethiopiaasystematicreviewandmetaanalysis AT dagimsamuel prevalenceandpredictorsofpoorheartfailuretreatmentoutcomesinethiopiaasystematicreviewandmetaanalysis |