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首页> 外文期刊>Biomedical and Health Informatics, IEEE Journal of >Team Collaboration Networks and Multidisciplinarity in Diabetes Care: Implications for Patient Outcomes
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Team Collaboration Networks and Multidisciplinarity in Diabetes Care: Implications for Patient Outcomes

机译：糖尿病护理团队协作网络和多学科性：对患者结果的影响

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摘要

Prevalence of type 2 diabetes mellitus (T2DM) has almost doubled in recent decades and commonly presents comorbidities and complications. T2DM is a multisystemic disease, requiring multidisciplinary treatment provided by teams working in a coordinated and collaborative manner. The application of social network analysis techniques in the healthcare domain has allowed researchers to analyze interaction between professionals and their roles inside care teams. We studied whether the structure of care teams, modeled as complex social networks, is associated with patient progression. For this, we illustrate a data-driven methodology and use existing social network analysis metrics and metrics proposed for this research. We analyzed appointment and HbA1c blood test result data from patients treated at three primary health care centers, representing six different practices. Patients with good metabolic control during the analyzed period were treated by teams that were more interactive, collaborative and multidisciplinary, whereas patients with worsening or unstable metabolic control were treated by teams with less collaboration and more continuity breakdowns. Results from the proposed metrics were consistent with the previous literature and reveal relevant aspects of collaboration and multidisciplinarity.
机译：近几十年来，2型糖尿病患者（T2DM）的患病率几乎翻了一番，并且通常存在于组合和并发症。 T2DM是一种多系统疾病，需要由团队以协调和协作方式工作的多学科待遇。社交网络分析技术在医疗域中的应用允许研究人员分析专业人士之间的互动及其在护理团队内部的角色。我们研究了作为复杂的社交网络建模的护理团队的结构是否与患者进展相关。为此，我们说明了数据驱动的方法，并使用了本研究提出的现有社交网络分析度量和指标。我们分析了在三个主要医疗中心治疗的患者的预约和HBA1C血液测试结果数据，代表了六种不同的实践。分析期间代谢控制良好的患者受到更具互动，协作和多学科的团队对待，而代谢控制的患者被团队接受了较少的合作，更加连续性崩溃。拟议指标的结果与先前的文献一致，揭示了合作和多学科的相关方面。

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