Evidence map›Paper›PMID 28768606›Full record

ArticleJMIR mHealth and uHealth2017

The Potential of Mobile Apps for Improving Asthma Self-Management: A Review of Publicly Available and Well-Adopted Asthma Apps.

Peter Tinschert, Robert Jakob, Filipe Barata, Jan-Niklas Kramer, Tobias Kowatsch

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 6 pooled it
44.3field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 6 syntheses or guidelines pooled it, 173 citations in OpenAlex.

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  6. Smartphone Applications for Encouraging Asthma Self-Management in Adolescents: A Systematic Review.International journal of environmental research and public health · 2018
    Pooled it
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  20. Mobile Health for Asthma.CHEST pulmonary · 2023
    Review

16 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 3 institutions in 2 countries.

Peter TinschertCenter for Digital Health Interventions, Institute of Technology Management (ITEM-HSG), University of St. Gallen, St. Gallen, Switzerland.ORCID http://orcid.org/0000-0003-0889-0151
Robert JakobOperations & Supply Chain Management, School of Management, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-4793-1366
Filipe BarataCenter for Digital Health Interventions, Department for Management, Technology and Economics, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3905-2380
Jan-Niklas KramerCenter for Digital Health Interventions, Institute of Technology Management (ITEM-HSG), University of St. Gallen, St. Gallen, Switzerland.ORCID http://orcid.org/0000-0002-8912-1209
Tobias KowatschCenter for Digital Health Interventions, Institute of Technology Management (ITEM-HSG), University of St. Gallen, St. Gallen, Switzerland.ORCID http://orcid.org/0000-0001-5939-4145
University of St.Gallen · CHETH Zurich · CHTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective disease self-management lowers asthma's burden of disease for both individual patients and health care systems. In principle, mobile health (mHealth) apps could enable effective asthma self-management interventions that improve a patient's quality of life while simultaneously reducing the overall treatment costs for health care systems. However, prior reviews in this field have found that mHealth apps for asthma lack clinical evaluation and are often not based on medical guidelines. Yet, beyond the missing evidence for clinical efficacy, little is known about the potential apps might have for improving asthma self-management.

objectiveThe aim of this study was to assess the potential of publicly available and well-adopted mHealth apps for improving asthma self-management.

methodsThe Apple App store and Google Play store were systematically searched for asthma apps. In total, 523 apps were identified, of which 38 apps matched the selection criteria to be included in the review. Four requirements of app potential were investigated: app functions, potential to change behavior (by means of a behavior change technique taxonomy), potential to promote app use (by means of a gamification components taxonomy), and app quality (by means of the Mobile Application Rating Scale [MARS]).

resultsThe most commonly implemented functions in the 38 reviewed asthma apps were tracking (30/38, 79%) and information (26/38, 68%) functions, followed by assessment (20/38, 53%) and notification (18/38, 47%) functions. On average, the reviewed apps applied 7.12 of 26 available behavior change techniques (standard deviation [SD]=4.46) and 4.89 of 31 available gamification components (SD=4.21). Average app quality was acceptable (mean=3.17/5, SD=0.58), whereas subjective app quality lied between poor and acceptable (mean=2.65/5, SD=0.87). Additionally, the sum scores of all review frameworks were significantly correlated (lowest correlation: r

conclusionsSeveral apps were identified that performed consistently well across all applied review frameworks, thus indicating the potential mHealth apps offer for improving asthma self-management. However, many apps suffer from low quality. Therefore, app reviews should be considered as a decision support tool before deciding which app to integrate into a patient's asthma self-management. Furthermore, several research-practice gaps were identified that app developers should consider addressing in future asthma apps.

Indexed as

asthmabehavior and behavior mechanismsdisease managementeHealthmHealthmobile applicationsmobile healthreviewself caresmartphone

Identifiers

PMID28768606
PMCPMC5559650
OpenAlexW2739586802

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.