|本期目录/Table of Contents|

[1]徐丽玲,卢玉宝,赵 彦,等.COPD管理云平台的构建及临床应用[J].中华肺部疾病杂志,2023,(04):481-484.[doi:10.3877/cma.j.issn.1674-6902.2023.04.006 ]
 Xu Liling,Lu Yubao,Zhao Yan,et al.Construction and clinical application of chronic obstructive pulmonary disease management cloud platform[J].,2023,(04):481-484.[doi:10.3877/cma.j.issn.1674-6902.2023.04.006 ]
点击复制

COPD管理云平台的构建及临床应用(PDF)

《中华肺部疾病杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2023年04期
页码:
481-484
栏目:
论著
出版日期:
2023-08-20

文章信息/Info

Title:
Construction and clinical application of chronic obstructive pulmonary disease management cloud platform
作者:
徐丽玲卢玉宝赵 彦任 利李姝艺符 娟康 玲汪青松尤再春
400037 重庆,陆军(第三)军医大学新桥医院全科医学科
Author(s):
Xu Liling Lu Yubao Zhao Yan Ren Li Li Shuyi Fu Juan Kang Ling Wang Qingsong You Zaichun.
Department of General Medicine, Xinqiao Hospital, Army Military Medical University, Chongqing 400037, China
关键词:
肺疾病慢性阻塞性 微信小程序 COPD远程智能管理 治疗依从性
Keywords:
Chronic obstructive pulmonary disease WeChat app Remote intelligent management of COPD Treatment compliance
分类号:
R563
DOI:
10.3877/cma.j.issn.1674-6902.2023.04.006
摘要:
目的 构建慢性阻塞性肺疾病(chronic obstructive pulmonary disease, COPD)远程智能管理微信小程序云平台,实现对COPD稳定期患者日常规范化管理。方法 构建基于微信小程序的远程智能管理云平台; 选择2020年12月至2022年12月我院收治的COPD患者106例,将云平台管理53例为观察组,常规管理53例为对照组。对比两组1年内治疗依从性、肺功能变化、症状评分、急性加重次数、住院次数、住院费用和住院天数差异,评估平台应用效能。结果 成功构建COPD远程智能管理微信小程序; 观察组较对照组规范用药比例(64.2% vs. 43.4%)高、急性加重次数[(1.04±0.83)次vs.(1.51±0.89)次]少、住院次数[(0.66±0.71)次vs.(1.13±0.86)次]少、住院费用[(0.41±0.41)万元 vs.(0.63±0.40)万元]和住院天数[(4.92±4.96)d vs.(7.40±4.95)d]少(P<0.05)。两组肺功能、症状评分无显著差异(P>0.05)。结论 构建COPD远程智能管理云平台,提高COPD稳定期患者远程自我管理效能,提升生活质量,是“互联网+慢病管理”创新医疗服务模式的有益探索。
Abstract:
Objective To build a remote intelligent management WeChat mini program cloud platform for COPD, to achieve standardized daily management of COPD stable phase patients. Methods It was built that a remote intelligent management cloud platform based on wechat mini program; It was selected that 106 patients with COPD treated in our hospital from December 2020 to December 2022, 53 cases were treated as observation group by cloud platform management, and 53 cases were treated as control group by routine management. Treatment compliance, pulmonary function changes, symptom scores, acute aggravation times, hospitalization times, hospitalization costs and hospitalization days were compared between the two groups within 1 year to evaluate the application effectiveness of the platform. Results The wechat mini program of remote intelligent management of COPD was successfully built; The proportion of standard drug use in observation group was higher than that in control group(64.2% vs. 43.4%), the number of acute exacerbations [(1.04±0.83)vs.(1.51±0.89)] less, the number of hospitalizations [(0.66±0.71)vs.(1.13±0.86)] less, the hospitalization cost [(0.41±0.41)yuan vs.(0.63±0.40)yuan] and the length of hospitalization [(4.92±4.96)d vs.(7.40±4.95)d] less, P<0.05. There were no significant differences in pulmonary function and symptom scores between the two groups(P>0.05). Conclusion The construction of a remote intelligent management Cloud platform for COPD is beneficial in improving the remote self-management efficacy of COPD stable phase patients, enhancing their quality of life, and is a beneficial exploration of the innovative medical service model of “Internet + chronic disease management”.

参考文献/References:

1 梁振宇, 王凤燕, 陈子正, 等. 2023年GOLD慢性阻塞性肺疾病诊断、管理及预防全球策略更新要点解读[J]. 中国全科医学, 2023, 26(11): 1287-1298.
2 任成山, 王关嵩, 钱桂生. 慢性阻塞性肺疾病的成因及其治疗的困惑与希望[J/CD]. 中华肺部疾病杂志(电子版), 2019, 12(2): 127-141.
3 Wang C, Xu J, Yang L, et al. Prevalence and risk factors of chronic obstructive pulmonary disease in China(the China Pulmonary Health [CPH] study): a national cross-sectional study[J]. Lancet, 2018, 391(10131): 1706-1717.
4 Adeloye D, Song P, Zhu Y, et al. Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease(COPD)in 2019: a systematic review and modelling analysis[J]. Lancet Respir Med, 2022, 10(5): 447-458.
5 国务院办公厅发布《关于促进“互联网+医疗健康”发展的意见》[J]. 医学信息学杂志, 2018, 39(5): 94-95.
6 Luan H, Wang M, Sokol RL, et al. A scoping review of WeChat to facilitate professional healthcare education in Mainland China[J]. Med Educ Online, 2020, 25(1): 1782594.
7 蔡莎莎, 王雅楠. 高校微信平台“开学季”传播策略的实证研究——基于福建省5所本科高校微信公众平台的分析[J]. 厦门理工学院学报, 2019, 27(4): 21-27.
8 Wu Q, Huang Y, Liao Z, et al. Effectiveness of WeChat for Improving Exclusive Breastfeeding in Huzhu County China: Randomized Controlled Trial[J]. J Med Internet Res, 2020, 22(12): e23273.
9 周芯宇, 陈 伟, 吴国全, 等. REST API设计分析及实证研究[J]. 软件学报, 2022, 33(9): 3271-3296.
10 Poniszewska-Maranda A, Czechowska E. Kubernetes Cluster for Automating Software Production Environment[J]. Sensors(Basel), 2021, 21(5): 1910.
11 Campbell WS, Pedersen J, McClay JC, et al. An alternative database approach for management of SNOMED CT and improved patient data queries[J]. J Biomed Inform, 2015, 57: 350-357.
12 Omboni S, Campolo L, Panzeri E. Telehealth in chronic disease management and the role of the Internet-of-Medical-Things: the Tholomeus(R)experience[J]. Expert Rev Med Devices, 2020, 17(7): 659-670.
13 Wang Y, Yin A, Bian T, et al. Observation of efficacy of internet-based chronic disease management model combined with modified therapy of bushenyiliu decoction in treating patients with type 2 diabetes mellitus and prostate cancer and its effect on disease control rate[J]. Evid Based Complement Alternat Med, 2021, 2021: 7767186.
14 Hanlon P, Daines L, Campbell C, et al. Telehealth interventions to support self-management of long-term conditions: A systematic metareview of diabetes, heart failure, asthma, chronic obstructive pulmonary disease, and cancer[J]. J Med Internet Res, 2017, 19(5): e172.
15 Rassouli F, Boutellier D, Duss J, et al. Digitalizing multidisciplinary pulmonary rehabilitation in COPD with a smartphone application: an international observational pilot study[J]. Int J Chron Obstruct Pulmon Dis, 2018, 13: 3831-3836.
16 Moore E, Chatzidiakou L, Jones RL, et al. Linking e-health records,patient-reported symptoms and environmental exposure data to characterise and model COPD exacerbations: protocol for the COPE study[J]. BMJ Open, 2016, 6(7): e11330.
17 GBD 2015 Chronic Respiratory Disease Collaborators. Global, regional,and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015[J]. Lancet Respir Med, 2017, 5(9): 691-706.
18 Zoeckler N, Kenn K, Kuehl K, et al. Illness perceptions predict exercise capacity and psychological well-being after pulmonary rehabilitation in COPD patients[J]. J Psychosom Res, 2014, 76(2): 146-151.
19 Rivera E, Corte C, Steffen A, et al. Illness representation and self-care ability in older adults with chronic disease[J]. Geriatrics(Basel), 2018, 3(3): 45.
20 Lopes AC, Xavier RF, Ac PA, et al. Identifying COPD patients at risk for worse symptoms, HRQoL, and self-efficacy: A cluster analysis[J]. Chronic Illn, 2019, 15(2): 138-148.
21 Jensen MH, Cichosz SL, Dinesen B, et al. Moving prediction of exacerbation in chronic obstructive pulmonary disease for patients in telecare[J]. J Telemed Telecare, 2012, 18(2): 99-103.
22 Kronborg T, Mark L, Cichosz SL, et al. Population exacerbation incidence contains predictive information of acute exacerbations in patients with chronic obstructive pulmonary disease in telecare[J]. Int J Med Inform, 2018,111: 72-76.
23 Chang Y, Xu L, Han F, et al. Validation of the Nox-T3 portable monitor for diagnosis of obstructive sleep apnea in patients with chronic obstructive pulmonary disease[J]. J Clin Sleep Med, 2019, 15(4): 587-596.
24 Janjua S, Carter D, Threapleton CJ, et al. Telehealth interventions: remote monitoring and consultations for people with chronic obstructive pulmonary disease(COPD)[J]. Cochrane Database Syst Rev, 2021, 7(7): D13196.
25 Cruz J, Brooks D, Marques A. Home telemonitoring in COPD: a systematic review of methodologies and patients'adherence[J]. Int J Med Inform, 2014, 83(4): 249-263.
26 Donner CF, ZuWallack R, Nici L. The role of telemedicine in extending and enhancing medical management of the patient with chronic obstructive pulmonary disease[J]. Medicina(Kaunas), 2021, 57(7): 726.
27 Buekers J, Theunis J, De Boever P, et al. Wearable finger pulse oximetry for continuous oxygen saturation measurements during daily Home routines of patients with chronic obstructive pulmonary disease(COPD)over one week: Observational study[J]. JMIR Mhealth Uhealth, 2019, 7(6): e12866.
28 Hawthorne G, Greening N, Esliger D, et al. Usability of wearable multiparameter technology to continuously monitor free-living vital signs in people living with chronic obstructive pulmonary disease: Prospective observational study[J]. JMIR Hum Factors, 2022, 9(1): e30091.
29 Hawthorne G, Richardson M, Greening NJ, et al. A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study[J]. Respir Res, 2022, 23(1): 102.

备注/Memo

备注/Memo:
收稿日期:2023-03-15)
基金项目: 国家自然科学基金面上项目(81873413) 重庆市科卫联合医学科研项目(2020FYYX023)
通信作者: 尤再春, Email: Youzaichun619@163.com

更新日期/Last Update: 2023-08-20