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ECHO-CT: An Interdisciplinary Video-Conference Model for Identifying Post-Discharge Transition-of-Care Events

机译:echo-CT:跨学科视频会议模型用于识别出院后的护理后期事件

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Introduction: Discharge from the hospital to a post-acute care setting can be complex and potentially dangerous, with opportunities for errors and lapses in communication between providers. Data collected through the Extension for Community Health Outcomes-Care Transitions (ECHO-CT) model were used to identify and classify transitional care events (TCEs.) Methods: The ECHO-CT model employs multidisciplinary teleconferences between a hospital-based team and providers in post-acute settings; during this conference, concerns arising in the patient’s care transition were identified and recorded. Results: 675 patients were discussed during interdisciplinary videoconferences. A total of 139 TCEs were identified; 52 (37.4%) were classified as medication issues, and 58 (41.7%) involved discharge communication or coordination errors. Conclusions: These identified TCEs highlight areas in which providers can work to reduce issues arising in the course of discharge to post-acute facilities. Standardized processes to identify, record, and report transition of care events are necessary to provide high-quality, safe care for patients as they move across care settings.
机译:简介:从医院排放到后急性护理环境可以复杂且潜在危险,有机会在提供者之间的沟通中的错误和失效。通过扩展社区健康成果 - 护理转换(Echo-CT)模型收集的数据用于识别和分类过渡性护理事件(TCES。)方法:Echo-CT模型采用了基于医院的团队和提供者之间的多学科电话会议后急性设置;在此次会议期间,鉴定并记录了患者护理过渡中产生的担忧。结果:在跨学科视频会议期间讨论了675名患者。共发现了139个表情; 52(37.4%)被归类为药物问题,58(41.7%)涉及排放沟通或协调误差。结论:这些确定的TCES突出了提供商可以努力减少急性设施后出现问题的问题的领域。标准化的流程来识别,记录和报告护理事件的转型是为在护理环境中移动时为患者提供高质量,安全的护理。

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