Evidence map›Paper›PMID 32191213›Full record

ArticleJMIR mHealth and uHealth2020

Compliance and Utility of a Smartphone App for the Detection of Exacerbations in Patients With Chronic Obstructive Pulmonary Disease: Cohort Study.

Juan Luis Rodriguez Hermosa, Antonia Fuster Gomila, Luis Puente Maestu, Carlos Antonio Amado Diago, Francisco Javier Callejas González, Rosa Malo De Molina Ruiz, Manuel E Fuentes Ferrer, Jose Luis Álvarez Sala-Walther, Myriam Calle Rubio

Open access · goldAbstract read
In one paragraph

Article 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, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% 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, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  18. A Blockchain-Enabled Framework for mHealth Systems.Sensors (Basel, Switzerland) · 2021
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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

9 authors at 7 institutions in 1 country.

Juan Luis Rodriguez HermosaPulmonology Department, Hospital Clínico San Carlos, Madrid, Spain.ORCID 0000-0003-0552-2484
Antonia Fuster GomilaHospital Universitario Son Llátzer, Palma de Mallorca, Spain.ORCID 0000-0003-2642-4453
Luis Puente MaestuPulmonology Department, Hospital Universitario Gregorio Marañón, Madrid, Spain.ORCID 0000-0001-8501-0117
Carlos Antonio Amado DiagoPulmonology Department, Hospital Universitario Marqués de Valdecilla, Santander, Spain.ORCID 0000-0002-5598-1753
Francisco Javier Callejas GonzálezPulmonology Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.ORCID 0000-0001-8213-5424
Rosa Malo De Molina RuizPulmonology Department, Hospital Universitario Puerta de Hierro de Majadahonda, Madrid, Spain.ORCID 0000-0002-7269-0309
Manuel E Fuentes FerrerDepartament of Preventive Medicine, Hospital Clínico San Carlos, Madrid, Spain.ORCID 0000-0002-5177-1441
Jose Luis Álvarez Sala-WaltherPulmonology Department, Hospital Clínico San Carlos, Madrid, Spain.ORCID 0000-0002-5091-0286
Myriam Calle RubioPulmonology Department, Hospital Clínico San Carlos, Madrid, Spain.ORCID 0000-0002-3890-2742
Universidad Complutense de Madrid · ESComplejo Hospitalario Universitario de Albacete · ESHospital Clínico San Carlos · ESHospital General Universitario Gregorio Marañón · ESHospital Son Llatzer · ESHospital Universitario Puerta de Hierro Majadahonda · ESUniversidad de Cantabria · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, mobile health (mHealth)-related apps have been developed to help manage chronic diseases. Apps may allow patients with a chronic disease characterized by exacerbations, such as chronic obstructive pulmonary disease (COPD), to track and even suspect disease exacerbations, thereby facilitating self-management and prompt intervention. Nevertheless, there is insufficient evidence regarding patient compliance in the daily use of mHealth apps for chronic disease monitoring.

objectiveThis study aimed to provide further evidence in support of prospectively recording daily symptoms as a useful strategy to detect COPD exacerbations through the smartphone app, Prevexair. It also aimed to analyze daily compliance and the frequency and characteristics of acute exacerbations of COPD recorded using Prevexair.

methodsThis is a multicenter cohort study with prospective case recruitment including 116 patients with COPD who had a documented history of frequent exacerbations and were monitored over the course of 6 months. At recruitment, the Prevexair app was installed on their smartphones, and patients were instructed on how to use the app. The information recorded in the app included symptom changes, use of medication, and use of health care resources. The patients received messages on healthy lifestyle behaviors and a record of their cumulative symptoms in the app. There was no regular contact with the research team and no mentoring process. An exacerbation was considered reported if medical attention was sought and considered unreported if it was not reported to a health care professional.

resultsOverall, compliance with daily records in the app was 66.6% (120/180), with a duration compliance of 78.8%, which was similar across disease severity, age, and comorbidity variables. However, patients who were active smokers, with greater dyspnea and a diagnosis of depression and obesity had lower compliance (P<.05). During the study, the patients experienced a total of 262 exacerbations according to daily records in the app, 99 (37.8%) of which were reported exacerbations and 163 (62.2%) were unreported exacerbations. None of the subject-related variables were found to be significantly associated with reporting. The duration of the event and number of symptoms present during the first day were strongly associated with reporting. Despite substantial variations in the COPD Assessment Test (CAT), there was improvement only among patients with no exacerbation and those with reported exacerbations. Nevertheless, CAT scores deteriorated among patients with unreported exacerbations.

conclusionsThe daily use of the Prevexair app is feasible and acceptable for patients with COPD who are motivated in their self-care because of frequent exacerbations of their disease. Monitoring through the Prevexair app showed great potential for the implementation of self-care plans and offered a better diagnosis of their chronic condition.

Indexed as

Mobile ApplicationsPulmonary Disease, Chronic ObstructiveFemaleHumansMalePatient ComplianceProspective StudiesSmartphonechronic obstructive pulmonary diseasecompliancemHealthmobile phone

Identifiers

PMID32191213
PMCPMC7118552
OpenAlexW3011142852

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.