Department of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, Ethiopia.
Department of Health informatics, College of Health Science, Mattu University, Mattu, Ethiopia.
PLoS One. 2023 Dec 21;18(12):e0291686. doi: 10.1371/journal.pone.0291686. eCollection 2023.
Heart failure is an important global health problem which is associated with high mortality. Uncontrolled heart failure leads to hospitalization and reduction in quality of life. Therefore, the study aimed to assess the treatment outcome such as improved, death, hospitalization, and self-discharges without improvement and associated factors in heart failure patients admitted to south western Ethiopian hospitals.
We will use databases such as PubMed, Science Direct, HINARI, Scopus and Google Scholar. The final systematic review and meta-analysis will contain papers that fulfill the eligible criteria. A systematic data extraction check list will be used to extract the data, and STATA version 14 will be used for the analysis. Heterogeneity is evaluated using the I2 tests and the Cochrane Q test statistic. To examine publication bias, a funnel plot, Egger's weighted regression, and Begg's test are utilized. The sensitivity analysis and subgroup analysis will be done for studies having heterogeneity. The Joanna Briggs institute meta-analysis of statistics assessment and review instrument (JBI- MAStARI) will be used for quality assessment.
This protocol is expected to provide adequate evidence on the burden of poor heart failure treatment outcome that includes self-discharge, developing complication and finally leads to death in acute and chronic heart failure patients in Ethiopia. Furthermore, to enrich our estimation, we also intended to assess the associated factors of poor treatment outcome. Therefore, our review will call for government and non-government interventions in reducing the mortality associated with heart failure.
心力衰竭是一个重要的全球健康问题，与高死亡率相关。心力衰竭得不到控制会导致住院和生活质量下降。因此，本研究旨在评估心力衰竭患者在埃塞俄比亚西南部医院住院治疗的结局，如改善、死亡、住院和自我出院无改善，并探讨相关因素。
我们将使用 PubMed、Science Direct、HINARI、Scopus 和 Google Scholar 等数据库。最终的系统评价和荟萃分析将包含符合合格标准的论文。将使用系统数据提取检查表来提取数据，并使用 STATA 版本 14 进行分析。使用 I2 检验和 Cochrane Q 检验统计量评估异质性。使用漏斗图、Egger 加权回归和 Begg 检验来检查发表偏倚。对于存在异质性的研究，将进行敏感性分析和亚组分析。使用 Joanna Briggs 研究所荟萃分析统计学评估和审查工具（JBI-MAStARI）进行质量评估。
本方案有望为埃塞俄比亚急性和慢性心力衰竭患者不良心力衰竭治疗结局（包括自我出院、并发症发展，最终导致死亡）的负担提供充分的证据。此外，为了丰富我们的估计，我们还打算评估不良治疗结局的相关因素。因此，我们的综述将呼吁政府和非政府部门采取干预措施，降低与心力衰竭相关的死亡率。
