Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Emergency Department, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
J Healthc Eng. 2021 Sep 29;2021:2541751. doi: 10.1155/2021/2541751. eCollection 2021.
This work organically integrates a systematic and individualized nursing plan with big data technology and applies it to the care of patients with chronic obstructive pulmonary disease (COPD) and respiratory failure (RF) and explores the continuous care model based on modern big data technologies to improve COPD and RF. It aims to relieve the symptoms of COPD and RF, reduce the number of acute episodes of COPD and RF and the number of hospitalizations, and improve the quality of life of patients. One hundred COPD and RF patients hospitalized in the respiratory medicine department of a tertiary hospital were selected and were categorized into control and experimental group. The nursing mode of the patients in the control group was the original telephone follow-up in the department, and the contents of the follow-up were determined according to the questions of the patients on the telephone at that time. Based on the original nursing in the department, the experimental group adopted individualized continual nursing plans based on the Internet and big data techniques for patients to conduct a pulmonary rehabilitation-related functional assessment, functional exercise guidance, and health guidance. Experimental results show that, compared with traditional continuous care, individualized continuous care combined with big data techniques can improve the lung function of patients with stable COPD and RF, reduce the number of acute COPD and RF attacks and the number of readmissions, and improve self-management ability and quality of life. The method can be applied and implemented in continuous nursing care.
本研究将系统的、个体化的护理计划与大数据技术有机结合，应用于慢性阻塞性肺疾病（COPD）和呼吸衰竭（RF）患者的护理中，探索基于现代大数据技术的延续护理模式，以改善 COPD 和 RF 患者的病情。旨在缓解 COPD 和 RF 的症状，减少 COPD 和 RF 的急性发作次数和住院次数，提高患者的生活质量。选取某三甲医院呼吸内科收治的 100 例 COPD 和 RF 患者，分为对照组和实验组。对照组患者采用科室原有电话随访护理模式，根据患者当时电话中的问题确定随访内容。实验组在科室原有护理的基础上，采用基于互联网和大数据技术的个体化延续护理方案，对患者进行肺康复相关的功能评估、功能锻炼指导和健康指导。实验结果表明，与传统延续护理相比，结合大数据技术的个体化延续护理可改善稳定期 COPD 和 RF 患者的肺功能，减少 COPD 和 RF 急性发作次数和再住院次数，提高自我管理能力和生活质量。该方法可应用于延续护理中并进行实施。
