Evidence map›Paper›PMID 26860623›Full record

ArticleJMIR mHealth and uHealth2016

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion.

Kayla Joanne Heffernan, Shanton Chang, Skye Tamara Maclean, Emma Teresa Callegari, Suzanne Marie Garland, Nicola Jane Reavley, George Andrew Varigos, John Dennis Wark

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04502004 (Smoking Cessation in Hospitalized Patients), which is not on this map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
18.6field-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.

NCT04502004 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Smoking Cessation in Hospitalized Patients: Efficacy of an Intensive Intervention Program Using an App

TypeinterventionalSponsorUniversity of the Balearic IslandsRan2019 to 2021Enrolled116ConditionsHospitalized Smokers, CBT, Smoking Cessation, MhealthArmsApp for health=mhealth
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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  7. A large scale analysis of mHealth app user reviews.Empirical software engineering · 2022
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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

8 authors at 3 institutions in 1 country.

Kayla Joanne HeffernanDepartment of Computing and Information Systems, Melbourne School of Engineering, The University of Melbourne, Parkville, Australia.ORCID http://orcid.org/0000-0003-0816-8986
The Royal Melbourne Hospital · AUThe University of Melbourne · AURoyal Women's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe now ubiquitous catchphrase, "There's an app for that," rings true owing to the growing number of mobile phone apps. In excess of 97,000 eHealth apps are available in major app stores. Yet the effectiveness of these apps varies greatly. While a minority of apps are developed grounded in theory and in conjunction with health care experts, the vast majority are not. This is concerning given the Hippocratic notion of "do no harm." There is currently no unified formal theory for developing interactive eHealth apps, and development is especially difficult when complex messaging is required, such as in health promotion and prevention.

objectiveThis paper aims to provide insight into the creation of interactive eHealth apps for complex messaging, by leveraging the Safe-D case study, which involved complex messaging required to guide safe but sufficient UV exposure for vitamin D synthesis in users. We aim to create recommendations for developing interactive eHealth apps for complex messages based on the lessons learned during Safe-D app development.

methodsFor this case study we developed an Apple and Android app, both named Safe-D, to safely improve vitamin D status in young women through encouraging safe ultraviolet radiation exposure. The app was developed through participatory action research involving medical and human computer interaction researchers, subject matter expert clinicians, external developers, and target users. The recommendations for development were created from analysis of the development process.

resultsBy working with clinicians and implementing disparate design examples from the literature, we developed the Safe-D app. From this development process, recommendations for developing interactive eHealth apps for complex messaging were created: (1) involve a multidisciplinary team in the development process, (2) manage complex messages to engage users, and (3) design for interactivity (tailor recommendations, remove barriers to use, design for simplicity).

conclusionsThis research has provided principles for developing interactive eHealth apps for complex messaging as guidelines by aggregating existing design concepts and expanding these concepts and new learnings from our development process. A set of guidelines to develop interactive eHealth apps generally, and specifically those for complex messaging, was previously missing from the literature; this research has contributed these principles. Safe-D delivers complex messaging simply, to aid education, and explicitly, considering user safety.

Indexed as

complex messagingeHealth smartphone appsinteractivemhealthvitamin D

Identifiers

PMID26860623
PMCPMC4764787
OpenAlexW2253134395

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.