切换至 "中华医学电子期刊资源库"

中华肺部疾病杂志(电子版) ›› 2023, Vol. 16 ›› Issue (04) : 481 -484. doi: 10.3877/cma.j.issn.1674-6902.2023.04.006

论著

COPD管理云平台的构建及临床应用
徐丽玲, 卢玉宝, 赵彦, 任利, 李姝艺, 符娟, 康玲, 汪青松, 尤再春()   
  1. 400037 重庆,陆军(第三)军医大学新桥医院全科医学科
  • 收稿日期:2023-03-15 出版日期:2023-08-25
  • 通信作者: 尤再春
  • 基金资助:
    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)

Construction and clinical application of chronic obstructive pulmonary disease management cloud platform

Liling Xu, Yubao Lu, Yan Zhao, Li Ren, Shuyi Li, Juan Fu, Ling Kang, Qingsong Wang, Zaichun You()   

  1. Department of General Medicine, Xinqiao Hospital, Army Military Medical University, Chongqing 400037, China
  • Received:2023-03-15 Published:2023-08-25
  • Corresponding author: Zaichun You
引用本文:

徐丽玲, 卢玉宝, 赵彦, 任利, 李姝艺, 符娟, 康玲, 汪青松, 尤再春. COPD管理云平台的构建及临床应用[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 481-484.

Liling Xu, Yubao Lu, Yan Zhao, Li Ren, Shuyi Li, Juan Fu, Ling Kang, Qingsong Wang, Zaichun You. Construction and clinical application of chronic obstructive pulmonary disease management cloud platform[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2023, 16(04): 481-484.

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。

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" .

表1 两组临床基线资料比较
表2 6个月后两组管理效果比较[±s,(%)]
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.
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.
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, 2018111: 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.
[1] 唐英俊, 李华娟, 王赛妮, 徐旺, 刘峰, 李羲, 郝新宝, 黄华萍. 人脐带间充质干细胞治疗COPD小鼠及机制分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 476-480.
[2] 李海明, 刘鸿飞, 李俊. 血清脂蛋白酶水平与COPD患者骨骼肌质量减少的关系[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 500-503.
[3] 周杉京, 诸葛金科, 王芳芳. 补肺活血胶囊对COPD患者cCor、ALD、Ang-Ⅱ的影响[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 517-519.
[4] 吴庆华, 冒勇, 闫效坤. AECOPD并发AKI的危险因素分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 529-531.
[5] 芦丹, 杨硕, 刘旭. VEGF、HMGB1、hs-CRP/Alb在AECOPD伴呼吸衰竭中的变化及预后分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 532-534.
[6] 熊锋, 娄建丽. 慢性阻塞性肺疾病急性加重期预后的临床分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 550-553.
[7] 王庆, 张红联, 吴志勇. COPD合并多重耐药菌肺部感染预后危险因素分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 557-559.
[8] 林静, 陈芳, 刘小霞. COPD患者认知功能障碍影响因素分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 569-571.
[9] 张七妹, 麦宜准, 蒋浩波. 喘可治对慢性阻塞性肺疾病缓解期的临床分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 578-580.
[10] 张林, 刘芳, 赵静, 刘勇, 周青. 远程康复在慢性阻塞性肺疾病患者肺康复中的研究进展[J]. 中华肺部疾病杂志(电子版), 2023, 16(04): 601-604.
[11] 苏国栋, 王剑桥, 刘洋, 樊祥德, 樊华, 刘惠林. 吸气肌训练对COPD运动恐动症的影响[J]. 中华肺部疾病杂志(电子版), 2023, 16(03): 421-423.
[12] 赵晓红, 修翠萍, 张瑜, 吴珂. 大康复理念在COPD稳定期肺康复治疗的临床应用[J]. 中华肺部疾病杂志(电子版), 2023, 16(03): 424-426.
[13] 罗静, 王霞, 高上兰, 张彬霞, 廖菲. 5A+5R式管理干预在慢性阻塞性肺疾病患者肺康复中的应用[J]. 中华肺部疾病杂志(电子版), 2023, 16(03): 429-431.
[14] 廖玥, 王可, 秦江月, 吴艳秋, 陈俊, 汪涛, 文富强, 王浩. 丹龙口服液治疗轻中度慢性阻塞性肺疾病急性加重期的多中心及前瞻性研究[J]. 中华肺部疾病杂志(电子版), 2023, 16(03): 306-311.
[15] 刘雪云, 范颖, 姚爱军, 张胜苗, 吕亚妮, 张冰清, 张晓宇, 刘恒. 基于微信小程序的个体化、全程护理干预对孕妇孕期体重及分娩结局的影响[J]. 中华临床医师杂志(电子版), 2023, 17(04): 455-460.
阅读次数
全文


摘要