Evidence map›Paper›PMID 34676102›Full record

ArticleDigital health

User perspectives and preferences regarding a mobile health cough application: A qualitative study during the coronavirus disease pandemic in Denmark.

Stine Thestrup Hansen, Humira Ehrari, Susanne Kristiansen, Lotte Schelde Olsen, Rasmus Stig Jensen, Troels Wesenberg Kjær, Malene Beck

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. Article
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.

Stine Thestrup HansenDepartment of Breast Surgery and Plastic Surgery, Zealand University Hospital, Denmark.ORCID https://orcid.org/0000-0002-3692-2723
Humira EhrariDepartment of Neurology, Zealand University Hospital, Denmark.
Susanne KristiansenDepartment of Neurology, Zealand University Hospital, Denmark.ORCID https://orcid.org/0000-0002-3611-7863
Lotte Schelde OlsenDepartment of Neurology, Zealand University Hospital, Denmark.ORCID https://orcid.org/0000-0003-0502-9868
Rasmus Stig JensenProcordo, Denmark.
Troels Wesenberg KjærDepartment of Neurology, Zealand University Hospital, Denmark.
Malene BeckDepartment of Neurology, Zealand University Hospital, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth care systems worldwide are currently facing major challenges because of the coronavirus disease pandemic. When individuals experience coronavirus disease symptoms, they often have to decide whether to seek health care services and render themselves vulnerable to infection or stay home and monitor their condition. Coronavirus disease management strategies should aim to reduce transmission, promote disease control, and facilitate self-monitoring within the population. In this regard, mobile health technologies serve as supportive tools, and acquiring knowledge about user perspectives will facilitate the development and integration of coronavirus disease-related applications. Accordingly, this study aimed to examine user perspectives on applications that monitor coronavirus disease-related physical signs and identify discrepancies between user expectations and developer design perspectives within the Danish context. MATERIALS AND

methodsA qualitative research design was adopted. Semi-structured telephone interviews were conducted to examine user expectations during the first wave of the coronavirus disease pandemic in April 2020. The theoretical framework, which was inspired by the concept of health literacy, was developed using a six-step thematic analytic approach.

resultsThe analysis yielded two major themes that captured user experiences: (1) coronavirus disease-related applications may serve as digital tools that foster safety when physical signs are monitored and (2) the acceptability of coronavirus disease-related applications depends on the adoption of a personalised and user-friendly design.

Indexed as

Covid-19, UX researchhealth literacyhealth moniteringlockdownmHealth

Identifiers

PMID34676102
PMCPMC8524649

What OpenQuestion holds

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LicenceCC BY-NC
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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.