Evidence map›Paper›PMID 30701174›Full record

ArticlemHealth2018

Specific features of current and emerging mobile health apps: user views among people with and without mental health problems.

Louise K Thornton, Frances J Kay-Lambkin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Louise K ThorntonNational Drug and Alcohol Research Centre, The University of New South Wales, Sydney, Australia.
Frances J Kay-LambkinNational Drug and Alcohol Research Centre, The University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite widespread development of mobile health apps, there is a paucity of research investigating user views of apps and their features, particularly among people with mental health problems. This study aimed to gain an understanding of the acceptability of specific features of current and emerging mobile health apps among people with and without mental health problems.

methodsAdults living in Australia were recruited to complete a self-report questionnaire regarding demographic characteristics, mental health, technology use, and attitudes regarding specific features of mobile health apps.

resultsA total of 284 participants were recruited, including 53% with a history of mental illness. Few concerns were reported with mobile app features (mean =1.8 features; SD =2.19) and statistical analyses found that age, gender, income, rurality, mental health status and technology use did not affect the expression of these concerns. Key issues identified included privacy and security of personal information, apps acting automatically, sharing personal information and the invasive nature of some features.

conclusionsThese results suggest that mental illness may not be a barrier to widespread use of mobile technologies for health purposes. It is hoped that this research will assist developers and clinicians to develop and integrate mobile health apps into everyday care more effectively.

Indexed as

mental disordermobile applicationsmobile healthSmartphones

Identifiers

PMID30701174
PMCPMC6327166

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.