Informatics based nurse triage in lung transplant care

基于信息学的肺移植护理中的护士分流

基本信息

批准号：
7222776
负责人：
STANLEY M FINKELSTEIN
金额：
$ 48.04万
依托单位：
UNIVERSITY OF MINNESOTA
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
起止时间：
2005-08-08 至 2009-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7222776
关键词：
Acute Address Adherence Affect Algorithms Attention Care given by nurses Caring Chronic Chronic Care Chronic Disease Chronically Ill Clinic Complex Computer Systems Computer information processing Computers Condition Coupled Daily Data Decision Support Systems Deterioration Development Devices Diffusion Discipline of Nursing Disease Disease Management Doctor of Philosophy Early Diagnosis Effectiveness Evaluation Event Evidence based program Face Feedback Foundations Future Health Health Resources Health Status Healthcare Healthcare Systems Home environment Individual Infection Informatics Information Management Institution Intervention Length Life Lung Lung Transplantation Lung diseases Manuals Measurement Measures Medical Mental Health Methodology Methods Modality Modeling Monitor Morbidity - disease rate Motion Numbers Nurses Nursing Care Management Nursing Staff Outcome Participant Pathology Patients Perception Performance Phase Physical Function Physiologic Monitoring Population Probability Process Provider Quality of Care Quality of life Randomized Controlled Trials Relative (related person)Reporting Research Respiratory physiology Schedule Signs and Symptoms Spirometry Staging Standards of Weights and Measures Strategic Planning Symptoms System Technology Telephone Telephone Monitor for the Elderly Testing Time Transplant Recipients Transplantation Triage United States Validity and Reliability Visit Work base care systems comparative computerized design diaries follow-up health related quality of life improved mortality patient oriented prevent programs pulmonary function respiratory response success telehealth tool treatment effect

项目摘要

DESCRIPTION (provided by applicant): The program's long term objective is to improve the health status of lung transplant recipients by providing a means for the early detection of acute bronchopulmonary events, resulting in earlier and more timely intervention and improved outcome. We have developed and tested a telehealth home monitoring system in which recipients do daily lung function measurements and record respiratory symptoms; these measurements are transmitted from the recipient's home to our data center over the recipient's telephone. This information is currently used by nurses to identify those recipients who show the earliest indications of an acute bronchopulmonary event. This is a laborious process, especially when large numbers of patients are doing home monitoring on a regular daily schedule. We have developed a computerized triage system to interpret the home monitoring data using appropriate probability measures. The computer systems are necessary to evaluate the large amount of data generated from home monitoring. These systems can identify early indications of a problem, but it is not known if this results in improved health outcome for the patient doing home monitoring. The first part of the study will evaluate a new telehealth enhanced home spirometer/diary device which should make it easier for patients to do home monitoring, for nurses to review and assess their patient's home monitoring data, and to provide automated feedback messages to patients to help them maintain home monitoring adherence. The next part of the study will be a randomized controlled trial to evaluate and compare manual nurse triage with the computerized triage system in terms of patient's health and quality of life, and the time required to fully utilize each triage system.

描述（由申请人提供）：该计划的长期目标是通过提供早期检测急性支气管肺事件的手段来改善肺移植接受者的健康状况，从而提早，更及时干预并改善结果。我们已经开发并测试了远程医疗家庭监测系统，其中接受者每天进行肺功能测量并记录呼吸道症状；这些测量值是通过收件人电话从收件人的家传递到我们的数据中心的。护士目前使用此信息来确定那些显示出急性支气管肺事件的最早迹象的接收者。这是一个费力的过程，尤其是当大量患者按照日常时间表进行家庭监控时。我们已经开发了一个计算机化的分类系统，以使用适当的概率指标来解释家庭监视数据。计算机系统对于评估家庭监控产生的大量数据是必要的。这些系统可以识别出问题的早期迹象，但是尚不清楚这是否会改善进行家庭监测的患者的健康结果。该研究的第一部分将评估一种新的远程医疗增强的家居肺活量计/日记设备，这应该使患者更容易进行家庭监控，护士可以审查和评估患者的家庭监控数据，并向患者提供自动反馈信息，以帮助他们维持家庭监测的依从性。该研究的下一部分将是一项随机对照试验，以根据患者的健康和生活质量以及充分利用每个分类系统所需的时间来评估和比较手动护士分类与计算机分类系统。