Evidence map›Paper›PMID 30924786›Full record

ArticleJMIR diabetes2019

Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies.

Constanze Rossmann, Claudia Riesmeyer, Nicola Brew-Sam, Veronika Karnowski, Sven Joeckel, Arul Chib, Rich Ling

Open access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
6.2field-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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Constanze RossmannDepartment of Media and Communication Science, University of Erfurt, Erfurt, Germany.ORCID http://orcid.org/0000-0002-4068-4369
Claudia RiesmeyerLudwig Maximilian University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-9105-1628
Nicola Brew-SamDepartment of Media and Communication Science, University of Erfurt, Erfurt, Germany.ORCID http://orcid.org/0000-0001-7544-4499
Veronika KarnowskiLudwig Maximilian University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-2138-255X
Sven JoeckelDepartment of Media and Communication Science, University of Erfurt, Erfurt, Germany.ORCID http://orcid.org/0000-0001-7746-5015
Arul ChibWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-3833-8889
Rich LingWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-6336-4050
University of Erfurt · DELudwig-Maximilians-Universität München · DENanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo achieve clarity on mobile health's (mHealth's) potential in the diabetes context, it is necessary to understand potential users' needs and expectations, as well as the factors determining their mHealth use. Recently, a few studies have examined the user perspective in the mHealth context, but their explanatory value is constrained because of their limitation to adoption factors.

objectiveThis paper uses the mobile phone appropriation model to examine how individuals with type 1 or type 2 diabetes integrate mobile technology into their everyday self-management. The study advances the field beyond mere usage metrics or the simple dichotomy of adoption versus rejection.

methodsData were gathered in 2 qualitative studies in Singapore and Germany, with 21 and 16 respondents, respectively. Conducting semistructured interviews, we asked respondents about their explicit use of diabetes-related apps, their general use of varied mobile technologies to manage their disease, and their daily practices of self-management.

resultsThe analysis revealed that although some individuals with diabetes used dedicated diabetes apps, most used tools across the entire mobile-media spectrum, including lifestyle and messaging apps, traditional health information websites and forums. The material indicated general barriers to usage, including financial, technical, and temporal restrictions.

conclusionsIn sum, we find that use patterns differ regarding users' evaluations, expectancies, and appropriation styles, which might explain the inconclusive picture of effects studies in the diabetes mHealth context.

Indexed as

diabetesGermanymHealthmobile phoneself-managementSingapore

Identifiers

PMID30924786
PMCPMC6460309
OpenAlexW2927760739

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.