Advancing Patient Call Light Systems to Achieve Better Outcomes

改进患者呼叫灯系统以实现更好的结果

基本信息

  • 批准号:
    7998258
  • 负责人:
  • 金额:
    $ 19.71万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-09-30 至 2012-09-29
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Patient Provider Communications will develop EloquenceTM based on data acquired from research conducted by the University of Michigan School of Nursing addressing the specific aims and hypothesis. This project extends the research team's preliminary findings on the development of technology to improve communication with critically ill patients using patient designed communication boards, and the relationship of call light usage with response time to falls and patient satisfaction. The lack of a systematic method for managing call light requests is a patient safety issue and the design of call light technology to make call systems more efficient and effective is needed. EloquenceTM is an advanced patient call light system that will use a touch screen for patients to deliver a specific message to nursing personnel, which will then be directed with an assigned priority ranking to the most appropriate nursing personnel. EloquenceTM will generate patient communication metrics, which will provide a means for safety, quality, and performance improvement initiatives that are unprecedented. Little research has described what use content should be included within such an advanced patient call light system or how that content should be organized, and which nursing personnel should be the initial recipient accountable to respond to each patient need. The long term goal of this project is to develop and commercialize EloquenceTM. The specific aims of this proposed Phase I study are: (1) To determine a) the most useful and effective use content for EloquenceTM and b) how this content will be organized for patients (e.g. via icons) and directed to licensed versus assistive nursing personnel according to the type of patient request; and (2) To develop an interactive simulation model of EloquenceTM and to examine the usefulness, effectiveness and appropriateness of EloquenceTM in acute inpatient noncritical care units. The sites for this study are 6 adult inpatient units from the University of Michigan Health System (UMHS; 913 beds). This study will use focus groups and product development workshops to achieve the specific aims. Responses to focus group questions will be used to test the hypothesis: EloquenceTM can be developed with guidance and feedback from patients and nursing staff who will collectively rate this call light system as being more useful, effective and appropriate as compared with the current patient call light system in the study hospital. This Phase I study will deliver a first-generation model and examine the usefulness, effectiveness, and appropriateness of EloquenceTM. In Phase II, a functional model of EloquenceTM will be developed and tested with patients and nursing personnel in selected adult medical-surgical units in an academic or community hospital for improvements in patient safety (e.g. fall reduction), response time, and improved efficiencies in nursing practice. Depending on outcomes in Phase II, EloquenceTM has the potential to be ranked as the most intelligent call light system, streamlining patient care for hospitals and skilled nursing facilities. PUBLIC HEALTH RELEVANCE: Despite some minor advances, patient call light systems still fail to identify the best recipient of a patient call light request and fail to enable nursing personnel to prioritize their response to call light requests; all of which serve as risk factors contributing to patient falls and indicators of inefficiencies in nursing care deliveries. Inpatient falls consistently comprise the largest single category of reported accidental injuries in hospitals, which may be a consequence of inefficiencies in nursing care deliveries. Consequently, this Phase I study will determine the feasibility of developing EloquenceTM, an advanced patient call light system that seeks to create efficiencies with call light usage, to improve nursing staff responsiveness, and eventually to reduce inpatient falls in inpatient care settings.
描述(由申请人提供):Patient Provider Communications 将根据密歇根大学护理学院针对特定目标和假设进行的研究获得的数据开发 EloquenceTM。该项目扩展了研究团队在技术开发方面的初步发现,以使用患者设计的通信板改善与危重患者的沟通,以及呼叫灯的使用与跌倒反应时间和患者满意度之间的关系。 缺乏管理呼叫灯请求的系统方法是一个患者安全问题,需要设计呼叫灯技术以使呼叫系统更加高效和有效。 EloquenceTM 是一种先进的患者呼叫灯系统,它将使用触摸屏让患者向护理人员传递特定消息,然后按照指定的优先级将其定向到最合适的护理人员。 EloquenceTM 将生成患者沟通指标,这将为前所未有的安全、质量和绩效改进举措提供一种手段。很少有研究描述这种先进的患者呼叫灯系统中应包含哪些使用内容或应如何组织该内容,以及哪些护理人员应是负责响应每个患者需求的最初接收者。该项目的长期目标是开发 EloquenceTM 并将其商业化。 这项拟议的第一阶段研究的具体目标是:(1) 确定 a) EloquenceTM 最有用和最有效的使用内容,以及 b) 如何为患者组织这些内容(例如通过图标),并根据患者请求的类型将其引导给有执照的护理人员或辅助护理人员; (2) 开发 EloquenceTM 的交互式模拟模型,并检验 EloquenceTM 在急性住院非重症监护病房中的实用性、有效性和适当性。本研究的地点是密歇根大学医疗系统 (UMHS;913 个床位) 的 6 个成人住院病房。本研究将利用焦点小组和产品开发研讨会来实现特定目标。对焦点小组问题的回答将用于检验假设:EloquenceTM 可以在患者和护理人员的指导和反馈下开发,他们将集体评价该呼叫灯系统与研究医院当前的患者呼叫灯系统相比更有用、更有效、更合适。 该第一阶段研究将提供第一代模型并检验 EloquenceTM 的实用性、有效性和适当性。在第二阶段,将开发 EloquenceTM 的功能模型,并在学术或社区医院选定的成人医疗外科单位与患者和护理人员进行测试,以改善患者安全(例如减少跌倒)、响应时间并提高护理实践的效率。根据第二阶段的结果,EloquenceTM 有可能被评为最智能的呼叫灯系统,简化医院和熟练护理机构的患者护理。 公共卫生相关性:尽管取得了一些微小的进步,患者呼叫灯系统仍然无法识别患者呼叫灯请求的最佳接收者,并且无法使护理人员能够优先响应呼叫灯请求;所有这些都是导致患者跌倒的风险因素以及护理服务效率低下的指标。住院病人跌倒一直是医院报告的最大意外伤害类别,这可能是护理服务效率低下的结果。因此,这项第一阶段研究将确定开发 EloquenceTM 的可行性,这是一种先进的患者呼叫灯系统,旨在提高呼叫灯使用效率,提高护理人员的响应能力,并最终减少住院护理环境中的住院患者跌倒。

项目成果

期刊论文数量(1)
专著数量(0)
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会议论文数量(0)
专利数量(1)

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Huey-Ming Tzeng其他文献

Huey-Ming Tzeng的其他文献

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{{ truncateString('Huey-Ming Tzeng', 18)}}的其他基金

Call Light Responsiveness and Effect on Inpatient Falls and Patient Satisfaction
呼叫光响应以及对住院患者跌倒和患者满意度的影响
  • 批准号:
    7774674
  • 财政年份:
    2009
  • 资助金额:
    $ 19.71万
  • 项目类别:

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