Re-hospitalization predictors in telehomecare older adults with heart failure,

描述（由申请人提供）：在美国，心力衰竭（HF）导致的再住院比任何其他诊断都要多。HF患者频繁的再住院给患者、家庭和公共卫生系统带来了巨大的经济负担。HF经常需要密集的日常监测，通过家庭远程医疗技术进行远程监测已成为管理社区HF患者并防止再次住院的潜在解决方案。然而，在临床试验中，THC对再住院率的影响好坏参半。对最有可能对THC产生积极反应的患者或可能需要额外干预的患者的特征知之甚少。这项拟议的研究将确定全因再住院和心脏病的预测因素。 接受远程家庭护理的HF患者在家庭医疗事件期间失败相关的再住院。使用约1200例患者的OASIS-C数据集，本研究将确定最能预测THC反应的患者特征，并将引导我们对HF人群实施最合适的干预措施。从长远来看，改善我们针对THC的方式将优化这种昂贵技术的使用，以减轻患者，家庭和医疗保健系统的再住院负担。与国家护理研究所的优先事项相一致，这项工作将改善医疗保健技术的使用。

DESCRIPTION (provided by applicant): Heart failure (HF) is responsible for more rehospitalizations than any other diagnosis in the United States. Frequent re-hospitalizations among patients with HF are a significant financial burden on patients, the families, and the public health system. HF frequently requires intensive daily monitoring and remote monitoring via telehealth technology in the home has emerged as a potential solution to manage HF patients in the community and prevent rehospitalization. However, in clinical trials the impact of THC on rehospitalization rates has been mixed. Little is known about the characteristics of patients most likely to respond positively to THC or of those who may need additional interventions. The proposed study will identify predictors of all-cause rehospitalization and heart failure-related rehospitalization during the home healthcare episode among HF patients receiving telehomecare. Using the OASIS-C dataset of approximately 1200 patients, this study will identify the patient characteristics that best predict response to THC and will lead us to implement the most appropriate interventions for the HF population. In the long term, improving how we target THC will optimize the use of this expensive technology to reduce the burden of rehospitalizations for patients, families and the healthcare system. Consistent with the National Institute of Nursing Research priorities, this work will improve the use of technology in healthcare.