Evidence map›Paper›PMID 24982491›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2014

Using a mobile health application to support self-management in COPD: a qualitative study.

Veronika Williams, Jonathan Price, Maxine Hardinge, Lionel Tarassenko, Andrew Farmer

Registry-linked trialOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07573098 (Digital Tool for Improved Self-management of COPD), which is not on this map. Cited by 66 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 6 pooled it
8.5field-weighted citation impact, top 2% 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.

NCT07573098 narecruitingnot on this mapstarted 2025, after this paper: background citation

Digital Tool for Improved Self-management of COPD

TypeinterventionalSponsorBjörn NordlundRan2025 to 2027Enrolled50ConditionsCOPDArmsCOPD treatment check
3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 6 syntheses or guidelines pooled it, 151 citations in OpenAlex.

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  7. Patients' and GPs' views and expectations of home monitoring with a pulse oximeter: a mixed-methods process evaluation of a pilot randomised controlled trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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  10. Smartphone app in self-management of chronic low back pain: a randomized controlled trial.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2018
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  12. Digital health system for personalised COPD long-term management.BMC medical informatics and decision making · 2017
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6 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Veronika WilliamsDepartment of Primary Care Health Sciences;
Jonathan PriceDepartment of Psychiatry, Warneford Hospital, University of Oxford, Oxford.
Maxine HardingeOxford Centre of Respiratory Medicine, Oxford University Hospitals NHS Trust, Churchill Hospital, Oxford.
Lionel TarassenkoDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford.
Andrew FarmerDepartment of Primary Care Health Sciences;
Institute of Biomedical Science · GBWarneford Hospital · GB

Funding

Department of Health HICF-1010-032Wellcome Trust 095934Wellcome Trust HICF-1010-032
6 · The paper itself

Abstract

backgroundTelehealth shows promise for supporting patients in managing their long-term health conditions, such as chronic obstructive pulmonary disease (COPD). However, it is currently unclear how patients, and particularly older people, may benefit from these technological interventions.

aimTo explore patients' expectations and experiences of using a mobile telehealth-based (mHealth) application and to determine how such a system may impact on their perceived wellbeing and ability to manage their COPD. DESIGN AND

settingEmbedded qualitative study using interviews with patients with COPD from various community NHS services: respiratory community nursing service, general practice, and pulmonary rehabilitation.

methodAn embedded qualitative study was conducted to which patients were recruited using purposive sampling to achieve maximum variation. Interviews were carried out prior to receiving the mHealth system and again after a 6-month period. Data were analysed using a grounded theory approach.

resultsThe sample comprised 19 patients (aged 50-85 years) with varied levels of computer skills. Patients identified no difficulties in using the mHealth application. The main themes encapsulating patients' experience of using the mHealth application related to an increased awareness of the variability of their symptoms (onset of exacerbation and recovery time) and reassurance through monitoring (continuity of care).

conclusionPatients were able to use the mHealth application, interpret clinical data, and use these within their self-management approach regardless of previous knowledge. Telehealth interventions can complement current clinical care pathways to support self-management behaviour.

Indexed as

AgedAged, 80 and overHumansInternetMiddle AgedPatient CompliancePatient Education as TopicPatient SatisfactionPilot ProjectsPulmonary Disease, Chronic ObstructiveRandomized Controlled Trials as TopicRemote ConsultationSelf CareTelemedicinechronic obstructive pulmonary diseaselong-term conditionsmobile health applicationqualitative researchrespiratory conditionsself-managementtelehealth

Identifiers

PMID24982491
PMCPMC4073724
OpenAlexW2009538902

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.