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Role network measures to assess healthcare team adaptation to complex situations: the case of venous thromboembolism prophylaxis

机译:角色网络措施评估医疗团队适应复杂情况:静脉血栓栓塞预防的情况

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摘要

Hospitals are complex environments that rely on clinicians working together to provide appropriate care to patients. These clinical teams adapt their interactions to meet changing situational needs. Venous thromboembolism (VTE) prophylaxis is a complex process that occurs throughout a patient's hospitalisation, presenting five stages with different levels of complexity: admission, interruption, re-initiation, initiation, and transfer. The objective of our study is to understand how the VTE prophylaxis team adapts as the complexity in the process changes; we do this by using social network analysis (SNA) measures. We interviewed 45 clinicians representing 9 different cases, creating 43 role networks. The role networks were analysed using SNA measures to understand team changes between low and high complexity stages. When comparing low and high complexity stages, we found two team adaptation mechanisms: (1) relative increase in the number of people, team activities, and interactions within the team, or (2) relative increase in discussion among the team, reflected by an increase in reciprocity. Practitioner Summary: The reason for this study was to quantify team adaptation to complexity in a process using social network analysis (SNA). The VTE prophylaxis team adapted to complexity by two different mechanisms, by increasing the roles, activities, and interactions among the team or by increasing the two-way communication and discussion throughout the team. We demonstrated the ability for SNA to identify adaptation within a team.
机译:医院是复杂的环境,依赖于临床医生,为患者提供适当的护理。这些临床团队适应他们的互动,以满足不断变化的情境需求。静脉血栓栓塞(VTE)预防是一种复杂的过程,在整个患者的住院过程中发生,呈现出不同水平的复杂性的五个阶段:入场,中断,重新启动,开始和转移。我们研究的目的是了解VTE预防组队如何在过程变化中适应复杂性;我们通过使用社交网络分析(SNA)措施来实现这一目标。我们采访了45名代表9种不同案件的临床医生,创造了43个角色网络。使用SNA措施分析角色网络以了解低于高复杂性阶段的团队变化。当比较低和高复杂性阶段时,我们发现了两支球队适应机制:(1)人数,团队活动和团队内的互动的相对增加,或(2)在团队中的讨论相对增加,由增加互惠。从业者摘要:本研究的原因是通过社交网络分析(SNA)量化在过程中的复杂性进行量化。通过增加团队之间的角色,活动和互动或通过在整个团队中增加双向沟通和讨论,通过增加两种不同的机制来适应两种不同机制的复杂性。我们展示了SNA能够在团队中识别适应。

著录项

  • 来源
    《Ergonomics》 |2019年第7期|864-879|共16页
  • 作者单位

    Univ Wisconsin Dept Ind & Syst Engn 1513 Univ Ave Madison WI 53706 USA|Univ Wisconsin Ctr Qual & Prod Improvement Madison WI 53706 USA;

    Univ Wisconsin Dept Ind & Syst Engn 1513 Univ Ave Madison WI 53706 USA|Univ Wisconsin Ctr Qual & Prod Improvement Madison WI 53706 USA;

    Univ Wisconsin Ctr Qual & Prod Improvement Madison WI 53706 USA;

    Univ Wisconsin Ctr Qual & Prod Improvement Madison WI 53706 USA;

    Geisinger Hlth Syst Danville VA USA;

    Univ Wisconsin Sch Med & Publ Hlth Madison WI 53706 USA;

    Geisinger Hlth Syst Danville VA USA;

    Univ Wisconsin Dept Ind & Syst Engn 1513 Univ Ave Madison WI 53706 USA|Univ Wisconsin Ctr Qual & Prod Improvement Madison WI 53706 USA;

    Univ Wisconsin Ctr Qual & Prod Improvement Madison WI 53706 USA|Univ Wisconsin Sch Med & Publ Hlth Madison WI 53706 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Team adaptation; social network analysis; complexity; patient safety;

    机译:团队适应;社交网络分析;复杂性;患者安全;
  • 入库时间 2022-08-18 21:22:09

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