Validation of the Turkish version of the Modified Early Obstetric Warning System (MEOWS) chart.

Hale Kefeli Çelik, Gökçen Başaranoğlu, Ahmet Haydar Peçe, Gökhan Ünver, Serkan Tulgar, Mustafa Süren
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Abstract

Background: The Modified Early Obstetric Warning System (MEOWS) is a score-based or color-coded system that detects changes in physiological parameters and enables earlier diagnosis and care of worsening obstetric patients. The aim of this study is to evaluate the tool's performance and contribute to its use in Türkiye by translating MEOWS into Turkish.

Methods: This prospective and descriptive study, approved by the local ethics committee, included 350 obstetric in-patients who gave birth at Samsun Training and Research Hospital, Gynecology and Children's Hospital between April and August 2022. The study involved patients with a gestational week greater than 28 weeks and up to six weeks postpartum.

Results: The average age of the patients was 28.9±5.9 (18-40) years, with trigger values occurring in 34.6% (n=121) and morbidity occurring in 30.9% (n=108) of the cases. The most common trigger among the individual physiological indicators was high systolic blood pressure (28.3%). When the performance of MEOWS was evaluated, a statistically significant correlation was found between trigger and morbidity (Kappa=0.605; p<0.001). The sensitivity of MEOWS in estimating morbidity was 77.78% (95% confidence interval [CI]: 68.76-85.21%), specificity was 84.71% (95% CI: 79.55-89.00%), Positive Predictive Value (PPV) was 69.42% (95% CI: 62.40-75.64%), Negative Predictive Value (NPV) was 89.52% (95% CI: 85.67-92.43%), and accuracy was 82.57% (95% CI: 78.18-86.40%).

Conclusion: MEOWS was found to be an effective screening tool for predicting morbidity in this study and performs well in Turkish with sufficient sensitivity, specificity, and accuracy. However, the inclusion of long-term results would provide a more comprehensive understanding of the effectiveness of MEOWS.

验证土耳其版产科预警系统(MEOWS)图表。
背景:改良产科早期预警系统(MEOWS)是一种基于评分或颜色编码的系统,可检测生理参数的变化,从而对病情恶化的产科病人进行早期诊断和护理。本研究旨在评估该工具的性能,并通过将 MEOWS 翻译成土耳其语,促进其在土耳其的使用:这项前瞻性和描述性研究获得了当地伦理委员会的批准,研究对象包括 2022 年 4 月至 8 月期间在萨姆松培训与研究医院妇科和儿童医院分娩的 350 名产科住院患者。研究涉及孕周大于 28 周、产后 6 周以内的患者:患者的平均年龄为 28.9±5.9(18-40)岁,34.6%(n=121)的病例出现触发值,30.9%(n=108)的病例出现发病率。在各项生理指标中,最常见的触发值是高收缩压(28.3%)。在对 MEOWS 的性能进行评估时,发现触发因素与发病率之间存在统计学意义上的显著相关性(Kappa=0.605;p 结论:本研究发现 MEOWS 是预测发病率的有效筛查工具,在土耳其表现良好,具有足够的灵敏度、特异性和准确性。不过,纳入长期结果将有助于更全面地了解 MEOWS 的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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