Bender Clara, Hangaard Stine, Kronborg Thomas, Hejlesen Ole Kristian, Secher Pernille Heyckendorff
Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7C, 9220 Aalborg East, Denmark.
Steno Diabetes Center, North Denmark, Søndre Skovvej 3E, 9000 Aalborg, Denmark.
Stud Health Technol Inform. 2021 May 27;281:545-549. doi: 10.3233/SHTI210230.
The aim of the present study was to evaluate patient-related perspectives from a five-week test of the implementation of a COPD prediction algorithm. The test intended to discover and avoid potential errors prior to testing the COPD prediction algorithm in a two-armed randomized controlled trial (RCT). The COPD prediction algorithm aims to predict exacerbations in COPD based on home measurements. In the present study, the algorithm was implemented in a currently deployed telehealth system. Five weeks after implementation, six interviews were conducted, including five interviews with patients with COPD and one interview with a specialized COPD nurse. The participants were overall satisfied with the telehealth system including the COPD prediction algorithm. However, technical issues must be addressed before the COPD prediction algorithm is ready to be tested in the RCT. Moreover, communication with the monitoring nurses should be clearer based on the COPD nurse's experiences. In conclusion, the participants were satisfied with the integration of the COPD prediction algorithm in the telehealth system. The identification of technical issues shows the importance of including a technical test period in a similar trial setup.
本研究的目的是从一项为期五周的慢性阻塞性肺疾病（COPD）预测算法实施测试中评估患者相关的观点。该测试旨在在双臂随机对照试验（RCT）中测试COPD预测算法之前发现并避免潜在错误。COPD预测算法旨在基于家庭测量来预测COPD的急性加重。在本研究中，该算法在当前部署的远程医疗系统中实施。实施五周后，进行了六次访谈，包括对五名COPD患者的访谈和对一名专业COPD护士的访谈。参与者总体上对包括COPD预测算法在内的远程医疗系统感到满意。然而，在COPD预测算法准备好在RCT中进行测试之前，必须解决技术问题。此外，根据COPD护士的经验，与监测护士的沟通应该更清晰。总之，参与者对COPD预测算法在远程医疗系统中的整合感到满意。技术问题的识别表明在类似试验设置中纳入技术测试期的重要性。
