Evidence map›Paper›PMID 30920383›Full record

ArticleJMIR mHealth and uHealth2019

Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey.

Clemens Ernsting, Lena Mareike Stühmann, Stephan U Dombrowski, Jan-Niklas Voigt-Antons, Adelheid Kuhlmey, Paul Gellert

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 6 pooled it
19.3field-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

46 citing papers in PubMed, 6 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  14. Development and Evaluation of a Persian-Language Self-Management Mobile Application for People With Spinal Cord Injury.Health expectations : an international journal of public participation in health care and health policy · 2025
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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 at 3 institutions in 2 countries.

Clemens ErnstingCharité - Universitätsmedizin Berlin, Institute of Medical Sociology, Berlin, Germany.ORCID 0000-0003-1821-0340
Lena Mareike StühmannCharité - Universitätsmedizin Berlin, Institute of Medical Sociology, Berlin, Germany.ORCID 0000-0003-0550-389X
Stephan U DombrowskiUniversity of New Brunswick, Faculty of Kinesiology, Fredericton, NB, Canada.ORCID 0000-0001-9832-2777
Jan-Niklas Voigt-AntonsTechnische Universität Berlin, Quality and Usability Lab, Berlin, Germany.ORCID 0000-0002-2786-9262
Adelheid KuhlmeyCharité - Universitätsmedizin Berlin, Institute of Medical Sociology, Berlin, Germany.ORCID 0000-0003-4088-4675
Paul GellertCharité - Universitätsmedizin Berlin, Institute of Medical Sociology, Berlin, Germany.ORCID 0000-0001-7492-7210
Berlin Institute of Health at Charité - Universitätsmedizin Berlin · DETechnische Universität Berlin · DEUniversity of New Brunswick · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health apps can help to change health-related behaviors and manage chronic conditions in patients with cardiovascular diseases (CVDs) and diabetes mellitus, but a certain level of health literacy and electronic health (eHealth) literacy may be needed.

objectiveThe aim of this study was to identify factors associated with mobile health app use in individuals with CVD or diabetes and detect relations with the perceived effectiveness of health apps among app users.

methodsThe study used population-based Web-based survey (N=1500) among Germans, aged 35 years and older, with CVD, diabetes, or both. A total of 3 subgroups were examined: (1) Individuals with CVD (n=1325), (2) Individuals with diabetes (n=681), and (3) Individuals with CVD and diabetes (n=524). Sociodemographics, health behaviors, CVD, diabetes, health and eHealth literacy, characteristics of health app use, and characteristics of apps themselves were assessed by questionnaires. Linear and logistic regression models were applied.

resultsOverall, patterns of factors associated with health app use were comparable in individuals with CVD or diabetes or both. Across subgroups, about every fourth patient reported using apps for health-related purposes, with physical activity and weight loss being the most prominent target behaviors. Health app users were younger, more likely to be female (except in those with CVD and diabetes combined), better educated, and reported more physical activity. App users had higher eHealth literacy than nonusers. Those users who perceived the app to have a greater effectiveness on their health behaviors tended to be more health and eHealth literate and rated the app to use more behavior change techniques (BCTs).

conclusionsThere are health- and literacy-related disparities in the access to health app use among patients with CVD, diabetes, or both, which are relevant to specific health care professionals such as endocrinologists, dieticians, cardiologists, or general practitioners. Apps containing more BCTs had a higher perceived effect on people's health, and app developers should take the complexity of needs into account. Furthermore, eHealth literacy appears to be a requirement to use health apps successfully, which should be considered in health education strategies to improve health in patients with CVD and diabetes.

Indexed as

PerceptionAdultAgedCardiovascular DiseasesDiabetes MellitusDisease ManagementFemaleGermanyHealth LiteracyHumansMaleMiddle AgedMobile ApplicationsSurveys and Questionnaireschronic diseasecomorbidityeHealthhealth literacymHealthmultimorbiditysmartphonetelemedicine

Identifiers

PMID30920383
PMCPMC6458532
OpenAlexW2908058152

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.