Evidence map›Paper›PMID 37065541›Full record

ArticleDigital health

Features and characteristics of publicly available mHealth apps for self-management in chronic obstructive pulmonary disease.

Shirley Quach, Adam Benoit, Ana Oliveira, Tara L Packham, Roger Goldstein, Dina Brooks

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Review
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  9. Physiotherapy Canada. Physiotherapie Canada · 2024
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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

6 authors.

Shirley QuachSchool of Rehabilitation Sciences, McMaster University, Hamilton, Canada.ORCID https://orcid.org/0000-0001-5693-3182
Adam BenoitRespiratory Research, West Park Healthcare center, Toronto, Canada.
Ana OliveiraSchool of Rehabilitation Sciences, McMaster University, Hamilton, Canada.
Tara L PackhamSchool of Rehabilitation Sciences, McMaster University, Hamilton, Canada.ORCID https://orcid.org/0000-0002-5593-1975
Roger GoldsteinRespiratory Research, West Park Healthcare center, Toronto, Canada.
Dina BrooksSchool of Rehabilitation Sciences, McMaster University, Hamilton, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile health applications (mHealth apps) may be able to support people living with chronic obstructive pulmonary disease (COPD) to develop the appropriate skills and routines for adequate self-management. Given the wide variety of publicly available mHealth apps, it is important to be aware of their characteristics to optimize their use and mitigate potential harms. Objective: To report the characteristics and features of publicly available apps for COPD self-management. Methods: MHealth apps designed for patients' COPD self-management were searched in the Google Play and Apple app stores. Two reviewers trialed and assessed the eligible apps using the MHealth Index and Navigation Database framework to describe the characteristics, qualities, and features of mHealth apps across five domains. Results: From the Google Play and Apple stores, thirteen apps were identified and eligible for further evaluation. All thirteen apps were available for Android devices, but only seven were available for Apple devices. Most apps were developed by for-profit organizations (8/13), non-profit organizations (2/13), and unknown developers (3/13). Many apps had privacy policies (9/13), but only three apps described their security systems and two mentioned compliance with local health information and data usage laws. Education was the common app feature; additional features were medication reminders, symptom tracking, journaling, and action planning. None provided clinical evidence to support their use. Conclusions: Publicly available COPD apps vary in their designs, features, and overall quality. These apps lack evidence to support their clinical use and cannot be recommended at this time.

Indexed as

chronic lung diseasechronic obstructive lung diseasemobile applicationspersonalized medicinerehabilitationself-management

Identifiers

PMID37065541
PMCPMC10102951

What OpenQuestion holds

Textmetadata
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.