An Outcome-Weighted Network Model for Characterizing Collaboration.

An Outcome-Weighted Network Model for Characterizing Collaboration.
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DOI:
10.1371/journal.pone.0163861
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发表时间:
2016
期刊:
影响因子:
3.7
通讯作者:
Soulakis ND
Soulakis ND
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Carson MB;Scholtens DM;Frailey CN;Gravenor SJ;Kricke GE;Soulakis ND

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共同的患者遭遇构成了协作关系的基础,这对于医疗保健领域复杂的跨学科团队合作的成功至关重要。使用共同的风险调整患者结果来量化这些关系的强度,可以深入了解医疗保健提供者之间发生的相互作用。我们开发了共享积极结果比率(SPOR),这是一个新颖的参数,用于量化一对医疗保健提供者在一组共同的患者遭遇中积极结果的集中度。我们使用三年来电子健康记录 (EHR) 中的医院急诊科患者数据构建了一个协作网络。根据表明患者满意度的结果,我们使用该网络来评估配对协作并评估 SPOR。通过将这个由 574 个提供者和 5,615 个关系组成的网络与一组基于随机结果的网络进行比较,我们确定了 295 个 (5.2%) 配对合作,其患者满意度显着更高。我们的结果显示了在一组共享的患者遭遇中极高和低分的关系,并量化了提供者之间合作的高度可变性。我们选出了 29 名在患者满意度方面表现最好的公司。与低分组中的提供者相比,高分组中的提供者的相关遭遇的平均数量和获得积极结果的总遭遇的百分比更高,这意味着更有经验的个人可能能够更成功地合作。我们的研究表明,可以对医疗保健协作网络进行结构评估,以表征医院环境中医疗保健提供者之间发生的协作互动。
Shared patient encounters form the basis of collaborative relationships, which are crucial to the success of complex and interdisciplinary teamwork in healthcare. Quantifying the strength of these relationships using shared risk-adjusted patient outcomes provides insight into interactions that occur between healthcare providers. We developed the Shared Positive Outcome Ratio (SPOR), a novel parameter that quantifies the concentration of positive outcomes between a pair of healthcare providers over a set of shared patient encounters. We constructed a collaboration network using hospital emergency department patient data from electronic health records (EHRs) over a three-year period. Based on an outcome indicating patient satisfaction, we used this network to assess pairwise collaboration and evaluate the SPOR. By comparing this network of 574 providers and 5,615 relationships to a set of networks based on randomized outcomes, we identified 295 (5.2%) pairwise collaborations having significantly higher patient satisfaction rates. Our results show extreme high- and low-scoring relationships over a set of shared patient encounters and quantify high variability in collaboration between providers. We identified 29 top performers in terms of patient satisfaction. Providers in the high-scoring group had both a greater average number of associated encounters and a higher percentage of total encounters with positive outcomes than those in the low-scoring group, implying that more experienced individuals may be able to collaborate more successfully. Our study shows that a healthcare collaboration network can be structurally evaluated to characterize the collaborative interactions that occur between healthcare providers in a hospital setting.
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