Evidence map›Paper›PMID 31039125›Full record

ArticleBMJ health & care informatics2019

Conformity of Diabetes Mobile apps with the Chronic Care Model.

Raheleh Salari, Sharareh R Niakan Kalhori, Marjan Ghazisaeidi, Farhad Fatehi

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Raheleh SalariDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Science, Tehran, Iran.
Sharareh R Niakan KalhoriDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Science, Tehran, Iran sh-rniakank@sina.tums.ac.ir.
Marjan GhazisaeidiDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Science, Tehran, Iran.
Farhad FatehiDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Science, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the growing use of mobile applications (apps) for chronic disease management, the evidence on the effectiveness of this technology on clinical and behavioural outcomes of the patients is scant. Many studies highlight the importance of the theoretical foundations of mobile-based interventions. One of the most widely accepted models for the management of chronic diseases, such as diabetes, is the Chronic Care Model (CCM). In this study, we investigated the conformity of the selected diabetes mobile apps with CCM.

methodWe searched online journal databases related to diabetes mobile apps to find common features. Then considering the components of the CCM as a reference model, features of some popular and top-ranking apps were compared with CCM.

resultsAmong 23 studied apps, 34 per cent of them had medium conformity and 66 per cent of these apps were in weak conformity. The self-management support component is covered by 100 per cent of them. Ninety-five per cent of apps have covered the proactive follow-up component.

conclusionsApp conformance with CCM is generally weak. App developers are recommended to give greater consideration to established theoretical models in their design and implementation.

Indexed as

Chronic DiseaseMobile ApplicationsDiabetes MellitusHumansSelf-ManagementTelemedicinechronic care modeldiabetes type 2mhealthmobile applicationsmobile appsmobile health

Identifiers

PMID31039125
PMCPMC7062315

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.