埃塞俄比亚卫生系统对结核病患者治疗的延误:系统回顾和荟萃分析

Kenaw Tegegne, Fasil Wagnew, Yihalem Abebe Belay, Dawit Eyayu, D. Bekele
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摘要

背景:诊断和开始有效治疗的延迟与整个社区发病率、死亡率和持续的人际传播的增加有关。在埃塞俄比亚,对结核病患者的卫生系统延误进行了几项研究。然而,评估埃塞俄比亚卫生系统对结核病患者治疗延误的研究结果不一致且不确定。因此,本系统综述和荟萃分析旨在确定埃塞俄比亚卫生系统延迟治疗结核病的中位时间及其决定因素。方法:系统检索谷歌Scholar、Science Direct、PubMed、Embase、Scopus和施普林格链接数据库中1997年6月6日至2020年12月20日发表的研究。研究的质量采用纽卡斯尔-渥太华量表进行评估,该量表适用于观察性研究。异质性评价采用I平方统计量。我们在R 4.0.3版软件(用于中位数估计)和Stata 14版软件(用于荟萃)中使用随机效应模型对卫生系统延迟的中位数时间及其决定因素进行了荟萃分析。95%置信区间(CI)的汇总估计值采用森林样地。结果:共纳入14项研究,包括6161例符合先验设定标准的患者。我们的荟萃分析显示,估计卫生系统延迟的汇总中位数时间为15.29天(95%CI: 9.94-20.64)。在亚组分析中,1997年至2015年进行的研究中,卫生系统延迟的中位数为21.63天(95% CI: 14.38-28.88)天,而2015年之后进行的研究中,延迟的中位数为9.33天(95% CI: 3.95-14.70)天。生活在农村地区(合并OR: 2.42, 95%CI: 1.16-5.02)与卫生系统延误显著相关。结论:在埃塞俄比亚,结核病患者的治疗延迟超过两周。来自农村的居民更有可能导致长期的卫生系统延误。实施以农村居民为目标的努力可能有助于缩短卫生系统的延误,并对结核病控制的成功具有重要意义。
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Health system delay in the treatment of tuberculosis patients in Ethiopia: a systematic review and meta-analysis
Background: Delay in diagnosis and initiation of effective treatment associated with increase in morbidity, mortality and on-going person-to-person transmission in the community at large. In Ethiopia, several studies have been conducted regarding health system delay among tuberculosis patients. However, studies assessing the health system delay in treatment of tuberculosis patients in Ethiopia had inconsistent and inconclusive findings. Therefore, this systematic review and meta-analysis aimed to determine the pooled median time of the health system delay in the treatment of tuberculosis and its determinants in Ethiopia. Methods: We systematically searched from different databases: Google Scholar, Science Direct, PubMed, Embase, Scopus and Springer link databases for studies published from June 6, 1997 up to December 20, 2020. The quality of the studies was assessed using the Newcastle-Ottawa scale adapted for observational studies. Heterogeneity was evaluated using I squared statistic. We conducted a meta-analysis for the pooled median time of health system delay and its determinants using random-effects model in R version 4.0.3 software(for median estimation) and Stata version 14 (for metan). The pooled estimates with 95% confidence intervals (CI) were presented using forest plots. Results: A total of 14 studies which comprising 6161 patients satisfying a priori set criteria were included. Our meta-analysis showed that, the estimated pooled median time of the health system delay was 15.29(95%CI: 9.94–20.64) days. In the subgroup analysis, studies conducted from 1997 to 2015 the pooled median health system delay was 21.63(95% CI: 14.38-28.88) days, whereas studies conducted after 2015 the pooled median time of 9.33(95% CI: 3.95-14.70) days. Living in rural area (pooled OR: 2.42, 95%CI: 1.16-5.02) was significantly associated with health system delay. Conclusions: In Ethiopia, patients are delayed more-than two weeks in the treatment of tuberculosis. Being from rural residence was more likely to lead prolonged health system delay. Implementing efforts by targeting rural residence may help to shorten the health system delay and important implications for the success of tuberculosis control.
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