J Mark Ansermino, Yashodani Pillay, Abner Tagoola, Cherri Zhang, Dustin Dunsmuir, Stephen Kamau, Joyce Kigo, Collins Agaba, Ivan Aine Aye, Bella Hwang, Stefanie K Novakowski, Charly Huxford, Matthew O Wiens, David Kimutai, Mary Ouma, Ismail Ahmed, Paul Mwaniki, Florence Oyella, Emmanuel Tenywa, Harriet Nambuya, Bernard Opar Toliva, Nathan Kenya-Mugisha, Niranjan Kissoon, Samuel Akech
{"title":"在肯尼亚和乌干达,智能分诊与儿童就诊机构的质量改进方案相结合的实施:中断时间序列分析。","authors":"J Mark Ansermino, Yashodani Pillay, Abner Tagoola, Cherri Zhang, Dustin Dunsmuir, Stephen Kamau, Joyce Kigo, Collins Agaba, Ivan Aine Aye, Bella Hwang, Stefanie K Novakowski, Charly Huxford, Matthew O Wiens, David Kimutai, Mary Ouma, Ismail Ahmed, Paul Mwaniki, Florence Oyella, Emmanuel Tenywa, Harriet Nambuya, Bernard Opar Toliva, Nathan Kenya-Mugisha, Niranjan Kissoon, Samuel Akech","doi":"10.1371/journal.pdig.0000466","DOIUrl":null,"url":null,"abstract":"<p><p>Sepsis occurs predominantly in low-middle-income countries. Sub-optimal triage contributes to poor early case recognition and outcomes from sepsis. Improved recognition and quality of care can lead to improved outcomes. We evaluated the impact of Smart Triage using improved time to intravenous antimicrobial administration in a multisite interventional study. Smart Triage, a digital platform with a risk score and clinical dashboard, was implemented (with control sites) in Kenya (February 2021-December 2022) and Uganda (April 2020-April 2022). Children presenting to the outpatient departments with an acute illness were enrolled. A controlled interrupted time series was used to assess the effect on time from arrival at the facility to intravenous antimicrobial administration. Secondary analyses included antimicrobial use, admission rates and mortality (NCT04304235). During the baseline period, the time to antimicrobials decreased significantly in Kenya (132 and 58 minutes) at control and intervention sites. In Uganda, the time to antimicrobials marginally decreased (3 minutes) at the intervention site. Then, during the implementation period in Kenya, the time to antimicrobials at the intervention site decreased by 98 min (57%, 95% CI 81-114) but increased by 49 min (21%, 95% CI: 23-76) at the control site. In Uganda, the time to antimicrobials initially decreased but was not sustained and there was no significant difference between intervention and control sites. At both intervention sites, there was a significant reduction in antimicrobial utilization of 47% (Kenya) and 33% (Uganda) compared to baseline. There was a reduction in admission rates of 47% (Kenya) and 33% (Uganda) compared to baseline. Mortality reduced by 25% (Kenya) and 75% (Uganda) compared to the baseline period. We showed significant improvements in time to intravenous antibiotics in Kenya but not Uganda, likely due to COVID-19, a short study period and resource constraints. The reduced antimicrobial use and admission and mortality rates are remarkable and welcome benefits. The admission and mortality rates should be interpreted cautiously as these were secondary outcomes. 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引用次数: 0
摘要
败血症主要发生在中低收入国家。次优分诊导致早期病例识别不良和败血症的预后。提高认识和护理质量可以改善结果。在一项多地点介入研究中,我们通过缩短静脉抗菌药物给药时间来评估Smart Triage的影响。在肯尼亚(2021年2月至2022年12月)和乌干达(2020年4月至2022年4月)实施了带有风险评分和临床仪表板的数字平台“智能分诊”(Smart Triage)。患有急性病的儿童被纳入门诊。采用受控中断时间序列来评估从到达医院到静脉给药对时间的影响。二次分析包括抗菌素使用、住院率和死亡率(NCT04304235)。在基线期间,肯尼亚控制点和干预点获得抗微生物药物的时间显著缩短(分别为132分钟和58分钟)。在乌干达,在干预地点获得抗微生物药物的时间略有减少(3分钟)。然后,在肯尼亚实施期间,干预地点获得抗微生物药物的时间减少了98分钟(57%,95% CI 81-114),但在对照地点增加了49分钟(21%,95% CI: 23-76)。在乌干达,获得抗微生物药物的时间最初减少了,但没有持续下去,干预点和控制点之间没有显著差异。在这两个干预点,与基线相比,抗菌素使用率显著降低了47%(肯尼亚)和33%(乌干达)。与基线相比,入院率分别下降了47%(肯尼亚)和33%(乌干达)。与基线期相比,死亡率降低了25%(肯尼亚)和75%(乌干达)。我们发现,肯尼亚静脉注射抗生素的时间有了显著改善,但乌干达没有,这可能是由于COVID-19、研究时间短和资源限制。抗菌药物的使用、住院率和死亡率的降低是显著的、可喜的益处。入院率和死亡率应谨慎解释,因为这些是次要结局。这项研究强调了在卫生系统中实施技术和维持质量改进的困难。
Implementation of Smart Triage combined with a quality improvement program for children presenting to facilities in Kenya and Uganda: An interrupted time series analysis.
Sepsis occurs predominantly in low-middle-income countries. Sub-optimal triage contributes to poor early case recognition and outcomes from sepsis. Improved recognition and quality of care can lead to improved outcomes. We evaluated the impact of Smart Triage using improved time to intravenous antimicrobial administration in a multisite interventional study. Smart Triage, a digital platform with a risk score and clinical dashboard, was implemented (with control sites) in Kenya (February 2021-December 2022) and Uganda (April 2020-April 2022). Children presenting to the outpatient departments with an acute illness were enrolled. A controlled interrupted time series was used to assess the effect on time from arrival at the facility to intravenous antimicrobial administration. Secondary analyses included antimicrobial use, admission rates and mortality (NCT04304235). During the baseline period, the time to antimicrobials decreased significantly in Kenya (132 and 58 minutes) at control and intervention sites. In Uganda, the time to antimicrobials marginally decreased (3 minutes) at the intervention site. Then, during the implementation period in Kenya, the time to antimicrobials at the intervention site decreased by 98 min (57%, 95% CI 81-114) but increased by 49 min (21%, 95% CI: 23-76) at the control site. In Uganda, the time to antimicrobials initially decreased but was not sustained and there was no significant difference between intervention and control sites. At both intervention sites, there was a significant reduction in antimicrobial utilization of 47% (Kenya) and 33% (Uganda) compared to baseline. There was a reduction in admission rates of 47% (Kenya) and 33% (Uganda) compared to baseline. Mortality reduced by 25% (Kenya) and 75% (Uganda) compared to the baseline period. We showed significant improvements in time to intravenous antibiotics in Kenya but not Uganda, likely due to COVID-19, a short study period and resource constraints. The reduced antimicrobial use and admission and mortality rates are remarkable and welcome benefits. The admission and mortality rates should be interpreted cautiously as these were secondary outcomes. This study underlines the difficulty of implementing technologies and sustaining quality improvement in health systems.