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首页> 外文期刊>BMJ Open >Effect of telehealth on hospital utilisation and mortality in routine clinical practice: a matched control cohort study in an early adopter site
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Effect of telehealth on hospital utilisation and mortality in routine clinical practice: a matched control cohort study in an early adopter site

机译:远程医疗对常规临床实践中医院利用率和死亡率的影响:早期采用者站点中的配对对照队列研究

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Objectives To assess the effects of a home-based telehealth intervention on the use of secondary healthcare and mortality. Design Observational study of a mainstream telehealth service, using person-level administrative data. Time to event analysis (Cox regression) was performed comparing telehealth patients with controls who were matched using a machine-learning algorithm. Setting A predominantly rural region of England (North Yorkshire). Participants 716 telehealth patients were recruited from community, general practice and specialist acute care, between June 2010 and March 2013. Patients had chronic obstructive pulmonary disease, congestive heart failure or diabetes, and a history of associated inpatient admission. Patients were matched 1:1 to control patients, also selected from North Yorkshire, with respect to demographics, diagnoses of health conditions, previous hospital use and predictive risk score. Interventions Telehealth involved the remote exchange of medical data between patients and healthcare professionals as part of the ongoing management of the patient's health condition. Monitoring centre staff alerted healthcare professionals if the telemonitored data exceeded preset thresholds. Control patients received usual care, without telehealth. Primary and secondary outcome measures Time to the first emergency (unplanned) hospital admission or death. Secondary metrics included time to death and time to first admission, outpatient attendance and emergency department visit. Results Matched controls and telehealth patients were similar at baseline. Following enrolment, telehealth patients were more likely than matched controls to experience emergency admission or death (adjusted HR 1.34, 95% CI 1.16 to 1.56, p0.001). They were also more likely to have outpatient attendances (adjusted HR=1.25, 1.11 to 1.40, p0.001), but mortality rates were similar between groups. Sensitivity analyses showed that we were unlikely to have missed reductions in the likelihood of an emergency admission or death because of unobserved baseline differences between patient groups. Conclusions Telehealth was not associated with a reduction in secondary care utilisation.
机译:目的评估基于家庭的远程医疗干预措施对二级医疗机构使用和死亡率的影响。使用人员级管理数据的主流远程医疗服务的设计观察性研究。进行事件时间分析(Cox回归),比较远程医疗患者和使用机器学习算法匹配的对照组。设置英格兰(北约克郡)的主要农村地区。在2010年6月至2013年3月之间,从社区,一般实践和专科急性护理中招募了716名远程医疗患者。患者患有慢性阻塞性肺疾病,充血性心力衰竭或糖尿病,并有相关的住院治疗史。在人口统计学,健康状况诊断,以前的医院使用和预测风险评分方面,将患者与1:1的对照患者(也选自北约克郡)进行匹配。干预远程医疗涉及在患者和医护人员之间远程交换医疗数据,这是对患者健康状况进行持续管理的一部分。如果远程监控的数据超过预设的阈值,监控中心的工作人员会通知医疗保健专业人员。对照患者接受常规护理,没有远程医疗。主要和次要结局指标首次急诊(计划外)住院或死亡的时间。次要指标包括死亡时间和首次入院时间,门诊人次和急诊就诊时间。结果相匹配的对照组和远程医疗患者在基线时相似。入组后,远程医疗患者比对照组的患者更有可能经历紧急入院或死亡(校正后的HR 1.34,95%CI 1.16至1.56,p <0.001)。他们也更有可能参加门诊(校正后的HR = 1.25,1.11至1.40,p <0.001),但是两组之间的死亡率相似。敏感性分析表明,由于患者组之间的基线差异未观察到,我们不太可能错过紧急入院或死亡的可能性降低。结论远程医疗与减少二级保健的使用无关。

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