Evidence map›Paper›PMID 33507153›Full record

ArticleJournal of medical Internet research2021

A Mobile App to Support Clinical Diagnosis of Upper Respiratory Problems (eHealthResp): Co-Design Approach.

João Moura, Ana Margarida Pisco Almeida, Fátima Roque, Adolfo Figueiras, Maria Teresa Herdeiro

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 20 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

5 authors at 3 institutions in 2 countries.

João Moura *Department of Medical Sciences, iBiMED-Institute of Biomedicine, University of Aveiro, Aveiro, Portugal.ORCID 0000-0002-6548-4275
Ana Margarida Pisco Almeida *Department of Communication and Art/DigiMedia, University of Aveiro, Aveiro, Portugal.ORCID 0000-0002-7349-457X
Fátima Roque *Research Unit for Inland Development, Polytechnic Institute of Guarda (UDI/IPG), Guarda, Portugal.ORCID 0000-0003-0169-3788
Adolfo Figueiras *Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain.ORCID 0000-0002-5766-8672
Maria Teresa HerdeiroDepartment of Medical Sciences, iBiMED-Institute of Biomedicine, University of Aveiro, Aveiro, Portugal.ORCID 0000-0002-0500-4049
University of Aveiro · PTUniversidade de Santiago de Compostela · ESUniversity of Beira Interior · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe misuse of antibiotics is a global public health issue that fosters bacterial resistance and jeopardizes generational health. The development of validated tools such as web-based courses and mobile apps to enhance clinical decisions in upper respiratory infections is of great importance in reducing the incorrect use of antibiotics in these situations.

objectiveThe aim of this study was to design and prevalidate the interface of a mobile app to assist and provide clinical support in the diagnosis of upper respiratory problems. We aimed to assess the adequacy and usability of the interface of the tool in the belief that it could be beneficial to health care delivery in the clinical decision setting.

methodsUsing a co-design approach that brought together professionals in interface design and experts in pharmacology and pharmacoepidemiology, the mobile app interface was evaluated through peer review sessions held by interface design professionals on a heuristic survey. The reviewers accessed a high-fidelity interactive mock-up of the interface and filled in a questionnaire to assess the dimensions of layout and visual design and navigation and tasks. The resulting feedback of this evaluation supported the redesign of the primary interface, which was assessed for the second time by 2 of the previously mentioned reviewers.

resultsWith 4 as the highest score, the interface scored a mean of 3.16 (SD 0.45; median of the means 3.2) for layout and visual design and a mean of 3.43 (SD 0.33; median of the means 3.51) for navigation and tasks, reflecting an overall positive evaluation. The open-ended commentaries allowed us to better understand specific recommendations of the reviewers. Throughout this section, approximately 0.98 comments per parameter were registered, reflecting a high level of effectiveness of the chosen parameters in identifying potential problems. The resultant beta version of the interface, addressing the majority of the detected problems, was further assessed by 2 of the previous reviewers, validating the new design. Future tests with physicians and pharmacists will help assess credibility and user experience dimensions.

conclusionsOur study revealed that the designed interface is easy to interpret and use. Peer reviewers raised important issues that could be easily fixed and positively reassessed. As a result, the study enabled us to produce a new tool for interface usability assessment and a set of recommendations for developing mobile interfaces for clinical decision support systems in the scope of upper respiratory problems.

Indexed as

HumansMobile ApplicationsRespiratory Tract InfectionsClinical Decision Support SystemsdiagnoseinterfacemHealthmobile phonerespiratory system

Identifiers

PMID33507153
PMCPMC7878109
OpenAlexW3103256502

What OpenQuestion holds

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LicenceCC BY
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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.