Effect of a Structured Integrated Obstetric Triage Model (SIOTEL) on Patient Waiting time in Maternity Units in Kiambu County – A Quasi Experimental Study

C. K. Nyariki, Cyprian Nyariki, Mary Maina, Grace Wambura Mbuthia, Eric Yegon
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Abstract

Background: Perinatal mortality and morbidity remains high in Kenya over the years, and this has been attributed to the Three Delays, the third focusing on access to care once the client is in the health facility. Structured frameworks for obstetric triage have been shown to improve perinatal outcomes across the globe. In Kenya, anecdotal evidence suggests that there is no formal framework for conducting obstetric triage in public facilities. This study sought to assess the effect of a Structured Integrated Obstetric Triage Model (SIOTEL) on patient waiting time in maternity units of Kiambu Referral Hospitals. Methods: A quasi experimental design was applied in the study. The intervention facility was Kiambu County Referral Hospital and control facility was Thika Level 5 Hospital. Study population included files of patients admitted in the labour wards. The intervention (SIOTEL) was a 3-scale modified Obstetric Triage Acuity Scale, a client assessment tool that was used to conduct obstetric triage. A baseline survey was conducted followed by development, validation and implementation of the tool, then an end line survey conducted to assess effect of the model on waiting time. Quantitative data was analyzed using STATA and presented in tables and graphs.  T-statistic was used to test for significance of mean waiting time in the two facilities. Results: A total of 455 files were reviewed, 231 at baseline and 224 at endline survey. The mean client waiting time at baseline was 113.19 and 124.91 minutes in the intervention and control facilities respectively. At endline, the mean waiting time was 57.46 minutes in the intervention facility and 112.92 minutes in the control facility. Findings thus revealed a significant effect of the SIOTEL on client waiting time in the intervention facility (t-3.77;p value 0.00) compared to the control facility (t-0.78; p value 0.44) Conclusions and recommendations: The study concludes that implementation of structured models for obstetric triage contributes to reduction in client waiting time, and recommendations are made to adopt such models for triage in public facilities in Kenya
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结构化产科分诊综合模式(SIOTEL)对基安布县产科病房病人等候时间的影响--一项准实验研究
背景:多年来,肯尼亚的围产期死亡率和发病率居高不下,这归因于 "三个延误",其中第三个延误的重点是客户进入医疗机构后获得护理的机会。在全球范围内,产科分诊的结构化框架已被证明可改善围产期结果。在肯尼亚,轶事证据表明,公共医疗机构没有正式的产科分诊框架。本研究旨在评估结构化综合产科分诊模式(SIOTEL)对基安布转诊医院产科病人等候时间的影响。研究方法研究采用了准实验设计。干预机构为基安布县转诊医院,对照机构为提卡五级医院。研究对象包括在产房住院的患者档案。干预措施(SIOTEL)是一种三量表的改良产科分诊急性量表,是一种用于进行产科分诊的客户评估工具。先进行基线调查,然后开发、验证和实施该工具,最后进行终点调查,以评估该模式对等待时间的影响。定量数据使用 STATA 进行分析,并以表格和图表的形式呈现。 使用 T 统计检验两家机构平均等候时间的显著性。结果:共审查了 455 份档案,其中 231 份为基线调查档案,224 份为终点调查档案。干预设施和对照设施的基线客户平均等候时间分别为 113.19 分钟和 124.91 分钟。在终点调查中,干预机构的平均等候时间为 57.46 分钟,对照机构为 112.92 分钟。因此,研究结果表明,与对照组(t-0.78;p 值 0.44)相比,干预组(t-3.77;p 值 0.00)的 SIOTEL 对客户等待时间有明显影响:本研究得出结论,实施结构化产科分诊模式有助于减少客户等待时间,并建议肯尼亚公共机构采用此类模式进行分诊。
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