Evidence map›Paper›PMID 33237036›Full record

Observational studyJMIR mHealth and uHealth2020

Using Mobile Health Technology to Deliver a Community-Based Closed-Loop Management System for Chronic Obstructive Pulmonary Disease Patients in Remote Areas of China: Development and Prospective Observational Study.

Ning Deng, Juan Chen, Yiyuan Liu, Shuoshuo Wei, Leiyi Sheng, Rong Lu, Zheyu Wang, Jiarong Zhu, Jiye An, Bei Wang and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Article
  6. Article
  7. Article
  8. Delivery of Remote Pulmonary Rehabilitation: COVID-19 Service Evaluation in England.International journal of chronic obstructive pulmonary disease · 2025
    Article
  9. Article
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  12. Article
  13. Review
  14. Article
  15. Article
  16. Digital health in chronic obstructive pulmonary disease.Chronic diseases and translational medicine · 2023
    Review
  17. Observational
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Ning Deng *Ministry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0002-6573-1061
Juan Chen *Department of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.ORCID 0000-0001-5801-9124
Yiyuan LiuMinistry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0001-9801-7721
Shuoshuo WeiDepartment of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.ORCID 0000-0001-5229-2082
Leiyi ShengMinistry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0002-1963-5669
Rong LuDepartment of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.ORCID 0000-0001-7748-3029
Zheyu WangMinistry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0002-3879-1501
Jiarong ZhuDepartment of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.ORCID 0000-0003-4687-497X
Jiye AnMinistry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0002-6149-7052
Bei WangDepartment of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.ORCID 0000-0002-0990-3471
Hui LinMinistry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0001-7872-9924
Xiuyan WangDepartment of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.ORCID 0000-0002-1551-3330
Yumin ZhouState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-0555-8391
Huilong DuanMinistry of Education Key Laboratory of Biomedical Engineering, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.ORCID 0000-0003-3893-213X
Pixin RanState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID 0000-0001-6651-634X
Ningxia Medical University · CNZhejiang University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health (mHealth) technology is an increasingly recognized and effective method for disease management and has the potential to intervene in pulmonary function, exacerbation risk, and psychological status of patients with chronic obstructive pulmonary disease (COPD).

objectiveThis study aimed to investigate the feasibility of an mHealth-based COPD management system designed for Chinese remote areas with many potential COPD patients but limited medical resources.

methodsThe system was implemented based on a tailored closed-loop care pathway that breaks the heavy management tasks into detailed pieces to be quantified and executed by computers. Low-cost COPD evaluation and questionnaire-based psychological intervention are the 2 main characteristics of the pathway. A 6-month prospective observational study at the community level was performed to evaluate the effect of the system. Primary outcomes included changes in peak expiratory flow values, quality of life measured using the COPD assessment test scale, and psychological condition. Acute exacerbations, compliance, and adverse events were also measured during the study. Compliance was defined as the ratio of the actual frequency of self-monitoring records to the prescribed number.

resultsA total of 56 patients was enrolled; 39 patients completed the 6-month study. There was no significant difference in the mean peak expiratory flow value before and after the 6-month period (366.1, SD 106.7 versus 313.1, SD 116.6; P=.11). Psychological condition significantly improved after 6 months, especially for depression, as measured using the Patient Health Questionnaire-9 scale (median 6.0, IQR 3.0-9.0 versus median 4.0, IQR 0.0-6.0; P=.001). The COPD assessment test score after 6 months of intervention was also lower than that at the baseline, and the difference was significant (median 4.0, IQR 1.0-6.0 versus median 3.0, IQR 0.0-6.0; P=.003). The median overall compliance was 91.1% (IQR 67%-100%). In terms of acute exacerbation, 110 exacerbations were detected and confirmed by health care providers (per 6 months, median 2.0, IQR 1.0-5.0). Moreover, 72 adverse events occurred during the study, including 1 death, 19 hospitalizations, and 52 clinic visits due to persistent respiratory symptoms.

conclusionsWe designed and validated a feasible mHealth-based method to manage COPD in remote Chinese areas with limited medical resources. The proposed closed-loop care pathway was effective at the community level. Proper education and frequent communication with health care providers may encourage patients' acceptance and use of smartphones to support COPD self-management. In addition, WeChat might play an important role in improving patient compliance and psychological distress. Further research might explore the effect of such systems on a larger scale and at a higher evidence level.

Indexed as

Pulmonary Disease, Chronic ObstructiveTelemedicineBiomedical TechnologyChinaHumansQuality of LifeTechnologychronic disease managementclosed-loop care pathwayCOPDexacerbationsmobile health technology

Identifiers

PMID33237036
PMCPMC7725649
OpenAlexW3106165653

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.