Evidence map›Paper›PMID 29500159›Full record

ArticleJMIR mHealth and uHealth2018

More Stamina, a Gamified mHealth Solution for Persons with Multiple Sclerosis: Research Through Design.

Guido Giunti, Vasiliki Mylonopoulou, Octavio Rivera Romero

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04244214 (Pilot Study for the Evaluation of the More Stamina Mobile Application for Fatigue Management in Persons With Multiple Sclerosis), which is not on this map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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.

NCT04244214 completednot on this mapstarted 2023, after this paper: background citation

Pilot Study for the Evaluation of the More Stamina Mobile Application for Fatigue Management in Persons With Multiple Sclerosis

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2023 to 2023Enrolled20ConditionsMultiple Sclerosis, Fatigue, Chronic Conditions, MultipleArmsMore Stamina
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  8. Medication self-management toolkits for adults with multiple sclerosis: A scoping review.Exploratory research in clinical and social pharmacy · 2023
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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

3 authors.

Guido GiuntiSalumedia Tecnologias, Sevilla, Spain.ORCID http://orcid.org/0000-0003-0836-9825
Vasiliki MylonopoulouUniversity of Oulu, Oulu, Finland.ORCID http://orcid.org/0000-0002-2493-5543
Octavio Rivera RomeroUniversidad de Sevilla, Seville, Spain.ORCID http://orcid.org/0000-0001-7212-9805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is one of the world's most common neurologic disorders. Fatigue is one of most common symptoms that persons with MS experience, having significant impact on their quality of life and limiting their activity levels. Self-management strategies are used to support them in the care of their health. Mobile health (mHealth) solutions are a way to offer persons with chronic conditions tools to successfully manage their symptoms and problems. Gamification is a current trend among mHealth apps used to create engaging user experiences and is suggested to be effective for behavioral change. To be effective, mHealth solutions need to be designed to specifically meet the intended audience needs. User-centered design (UCD) is a design philosophy that proposes placing end users' needs and characteristics in the center of design and development, involving users early in the different phases of the software life cycle. There is a current gap in mHealth apps for persons with MS, which presents an interesting area to explore.

objectiveThe purpose of this study was to describe the design and evaluation process of a gamified mHealth solution for behavioral change in persons with MS using UCD.

methodsBuilding on previous work of our team where we identified needs, barriers, and facilitators for mHealth apps for persons with MS, we followed UCD to design and evaluate a mobile app prototype aimed to help persons with MS self-manage their fatigue. Design decisions were evidence-driven and guided by behavioral change models (BCM). Usability was assessed through inspection methods using Nielsen's heuristic evaluation.

resultsThe mHealth solution More Stamina was designed. It is a task organization tool designed to help persons with MS manage their energy to minimize the impact of fatigue in their day-to-day life. The tool acts as a to-do list where users can input tasks in a simple manner and assign Stamina Credits, a representation of perceived effort, to the task to help energy management and energy profiling. The app also features personalization and positive feedback. The design process gave way to relevant lessons to the design of a gamified behavioral change mHealth app such as the importance of metaphors in concept design, negotiate requirements with the BCM constructs, and tailoring of gamified experiences among others. Several usability problems were discovered during heuristic evaluation and guided the iterative design of our solution.

conclusionsIn this paper, we designed an app targeted for helping persons with MS in their fatigue management needs. We illustrate how UCD can help in designing mHealth apps and the benefits and challenges that designers might face when using this approach. This paper provides insight into the design process of gamified behavioral change mHealth apps and the negotiation process implied in it.

Indexed as

chronic diseaseexercisefatiguemobile applicationsmultiple sclerosisqualitative researchsoftware designtelemedicineuser-computer interfacevideo games

Identifiers

PMID29500159
PMCPMC5856928

What OpenQuestion holds

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LicenceCC BY
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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.