Evidence map›Paper›PMID 35129453›Full record

ArticleJMIR mHealth and uHealth2022

Evaluation of myCOPD Digital Self-management Technology in a Remote and Rural Population: Real-world Feasibility Study.

Rowena Cooper, Adam Giangreco, Michelle Duffy, Elaine Finlayson, Shellie Hamilton, Mahri Swanson, Judith Colligan, Joanna Gilliatt, Mairi McIvor, Elizabeth Kathryn Sage

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Mobile heath applications for self-management in chronic lung disease: a systematic review.Network modeling and analysis in health informatics and bioinformatics · 2023
    Review
  9. Exploring the Validity of GOLD 2023 Guidelines: Should GOLD C and D Be Combined?International journal of chronic obstructive pulmonary disease · 2023
    Article
  10. Article
  11. Article
  12. Review
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

10 authors at 2 institutions in 1 country.

Rowena Cooper *Department of Respiratory Medicine, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0001-7835-8895
Adam Giangreco *Division of Biomedical Sciences, University of the Highlands and Islands, Inverness, United Kingdom.ORCID 0000-0002-4031-7219
Michelle DuffySpecialist Community Respiratory Nursing Team, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0003-0179-8985
Elaine FinlaysonSpecialist Community Respiratory Nursing Team, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0003-4815-7499
Shellie HamiltonSpecialist Community Respiratory Nursing Team, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0002-6104-4969
Mahri SwansonSpecialist Community Respiratory Nursing Team, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0003-0834-7765
Judith ColliganDepartment of Respiratory Medicine, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0003-3168-1438
Joanna GilliattTechnology Enabled Care Team, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0003-3413-8211
Mairi McIvorTechnology Enabled Care Team, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0002-3603-6633
Elizabeth Kathryn SageDepartment of Respiratory Medicine, National Health Service Highland, Inverness, United Kingdom.ORCID 0000-0002-9009-421X
National Health Service · GBUniversity of the Highlands and Islands · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a common, costly, and incurable respiratory disease affecting 1.2 million people in the United Kingdom alone. Acute COPD exacerbations requiring hospitalization place significant demands on health services, and the incidence of COPD in poor, remote, and rural populations is up to twice that of cities.

objectivemyCOPD is a commercial, digital health, self-management technology designed to improve COPD outcomes and mitigate demands on health services. In this pragmatic real-world feasibility study, we aimed to evaluate myCOPD use and its clinical effectiveness at reducing hospitalizations, inpatient bed days, and other National Health Service (NHS) resource use.

methodsmyCOPD engagement and NHS resource use was monitored for up to 1 year after myCOPD activation and was compared against health service use in the year prior to activation. A total of 113 participants from predominantly remote and rural communities were recruited via community-based care settings, including scheduled home visits, outpatient appointments, pulmonary rehabilitation, and phone or group appointments. There were no predetermined age, disease severity, geographical, or socioeconomic inclusion or exclusion criteria.

resultsOut of 113 participants, 89 activated myCOPD (78.8%), with 56% (50/89) of those participants doing so on the day of enrollment and 90% (80/89) doing so within 1 month. There was no correlation between participant enrollment, activation, or myCOPD engagement and either age, socioeconomics, rurality, or COPD severity. Most active participants used at least one myCOPD module and entered their symptom scores at least once (79/89, 89%). A subgroup (15/89, 17%) recorded their symptom scores very frequently (>1 time every 5 days), 14 of whom (93%) also used four or five myCOPD modules. Overall, there were no differences in hospital admissions, inpatient bed days, or other health service use before or after myCOPD activation, apart from a modest increase in home visits. Subgroup analysis did, however, identify a trend toward reduced inpatient bed days and hospital admissions for those participants with very high myCOPD usage.

conclusionsOur results suggest that neither age, wealth, nor geographical location represent significant barriers to using myCOPD. This finding may help mitigate perceived risks of increased health inequalities associated with the use of digital health technologies as part of routine care provision. Despite high levels of activation, myCOPD did not reduce overall demands on health services, such as hospital admissions or inpatient bed days. Subgroup analysis did, however, suggest that very high myCOPD usage was associated with a moderate reduction in NHS resource use. Thus, although our study does not support implementation of myCOPD to reduce health service demands on a population-wide basis, our results do indicate that highly engaged patients may derive benefits.

Indexed as

Rural PopulationSelf-ManagementFeasibility StudiesHumansQuality of LifeState MedicineTechnologyapplicationchronic pulmonary obstructive diseaseCOPDdigital self-managementmobile healthremote and ruralrural communities

Identifiers

PMID35129453
PMCPMC8861861
OpenAlexW3216226724

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.