Muhammad Waqas,Song Hua Xu,Muhammad Usman Aslam,Sajid Hussain,Gilbert Masengo
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These statistics were tested for monitoring ischemic and hemorrhagic strokes in 1-year acute stroke (369) patients at the Faisalabad Institute of Cardiology. Demographic parameters (age, gender), vascular risk factors (diabetes, family history, sleep), socioeconomic variables (smoking, location), and blood pressure are included in the model. The research includes the computation of zero-state average run length (ARL) for assessing the performance of control charts. The characteristics of the proposed profile were analyzed, such as the T2 control chart, performing better than the D chart for medium-to-large shifts (δ ≥ 0.50). On the other hand, for small δ = 0.25, the D control chart produces smaller ARL values but more significant standard deviations. While both statistics contribute to profile monitoring, T2 is more effective at identifying and tracing medium and large shifts. 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引用次数: 0
摘要
最近的研究结果表明,医疗保健领域使用统计过程控制进行数据分析的趋势日益明显。然而,由于涉及变量的多样性,有必要扩展新的过程控制方法。本研究通过使用广义相加模型(GAMs)来构建剖面图,同时涉及多个医疗变量(08),对控制图在心脏病学中的应用进行了研究。在构建控制图时采用了两种不同的统计方法:偏差(D)和霍特林(T2):一种是常用的非参数剖面单变量统计方法,另一种是创新的多变量统计方法,用于评估每个元素对流程变化的贡献。费萨拉巴德心脏病研究所(Faisalabad Institute of Cardiology)对这些统计数据进行了测试,以监测急性中风 1 年期(369 例)患者的缺血性和出血性中风情况。模型中包括人口学参数(年龄、性别)、血管风险因素(糖尿病、家族史、睡眠)、社会经济变量(吸烟、地点)和血压。研究包括计算零状态平均运行长度(ARL),以评估控制图的性能。分析了所提出的剖面图的特点,如 T2 控制图在中到大转变(δ≥ 0.50)时的性能优于 D 控制图。另一方面,对于较小的δ = 0.25,D 控制图产生的 ARL 值较小,但标准偏差更显著。虽然这两种统计量都有助于轮廓监测,但 T2 在识别和跟踪中级和大型偏移方面更为有效。总之,这种便捷的工具可以帮助医疗绩效监控,尤其是对于复杂的预测因子-反应关系。监测的剖面图表明,GAMs 对于医疗分析和流程监控非常有用。
Transforming healthcare performance monitoring - A cutting-edge approach with generalized additive profiles: GAMs for healthcare quality monitoring.
Recent findings indicate a growing trend in data analysis within healthcare using statistical process control. However, the diversity of variables involved necessitates the expansion of new process control methodologies. This study examined control chart applications in cardiology by using generalized additive models (GAMs) to construct profiles while involving multiple healthcare variables (08). Two distinct statistics: deviation (D), and Hotelling (T2) were employed for constructing control charts: a commonly used single-variable statistic for nonparametric profiles and an innovative multivariate statistic that assesses the contribution of each element to process changes. These statistics were tested for monitoring ischemic and hemorrhagic strokes in 1-year acute stroke (369) patients at the Faisalabad Institute of Cardiology. Demographic parameters (age, gender), vascular risk factors (diabetes, family history, sleep), socioeconomic variables (smoking, location), and blood pressure are included in the model. The research includes the computation of zero-state average run length (ARL) for assessing the performance of control charts. The characteristics of the proposed profile were analyzed, such as the T2 control chart, performing better than the D chart for medium-to-large shifts (δ ≥ 0.50). On the other hand, for small δ = 0.25, the D control chart produces smaller ARL values but more significant standard deviations. While both statistics contribute to profile monitoring, T2 is more effective at identifying and tracing medium and large shifts. In conclusion, such handy tools may aid healthcare performance monitoring, especially for complicated predictor-response relationships. Monitored profiles demonstrated that GAMs are useful for healthcare analysis and process monitoring.
期刊介绍:
Medicine is now a fully open access journal, providing authors with a distinctive new service offering continuous publication of original research across a broad spectrum of medical scientific disciplines and sub-specialties.
As an open access title, Medicine will continue to provide authors with an established, trusted platform for the publication of their work. To ensure the ongoing quality of Medicine’s content, the peer-review process will only accept content that is scientifically, technically and ethically sound, and in compliance with standard reporting guidelines.