Evidence map›Paper›PMID 36569821›Full record

ReviewDigital health

Systematic mapping of digital health apps - A methodological proposal based on the World Health Organization classification of interventions.

Claudia Pernencar, Paulo Aguilar, Inga Saboia, Ivana Barreto, Rebecca Theophilo, Deivith Oliveira, Luiz Odorico Monteiro

Open access · goldAbstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 4 institutions in 2 countries.

Claudia PernencarICNOVA/NOVA FCSH, Lisbon, Portugal.ORCID https://orcid.org/0000-0001-8981-2133
Paulo AguilarUniversidade Federal do Ceará - Campus Quixadá, Quixadá, Brazil.
Inga SaboiaUniversidade Federal do Ceará - Instituto UFC Virtual, Fortaleza, Brazil.
Ivana BarretoFundação Oswaldo Cruz - Ceará, Eusébio, Brazil.
Rebecca TheophiloFundação Oswaldo Cruz - Ceará, Eusébio, Brazil.
Deivith OliveiraUniversidade Estadual do Ceará, Fortaleza, Brazils.
Luiz Odorico MonteiroFundação Oswaldo Cruz - Ceará, Eusébio, Brazil.
Fundação Oswaldo Cruz · BRUniversidade Federal do Ceará · BRUniversidade Estadual do Ceará · BRUniversidade Nova de Lisboa · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 was identified as a pandemic and Brazil is one of the major epicentres. One of the Brazilian states affected is Ceará, where this research group works. This group was challenged by a Hospital stakeholder to develop a communication channel with the health professionals and the coronavirus disease 2019 patient's family. This article presents a part of this whole project. The main methodological approach was the user-centred design based on user experience elements. Benchmarking was applied to understand the state-of-art of Brazilian apps that were related to coronavirus disease 2019. The research process was based on a systematic approach that was carried out by a multidisciplinary team that worked through four work cycles (identification, classification, screening, analysis). This work was based on two main points: (a) World Health Organization digital health guidelines, specifically digital health interventions (b) System Usability Scale. As a result, apps features were gathered according to the digital health interventions and their experiences were analysed on System Usability Scale. This work has provided an overview of apps that were available and how they support the coronavirus disease 2019 context. Another valuable contribution is the understanding of how the industry was satisfying the user's needs. These two results can provide a holistic view for future product development that can be used in different contexts of health issues. One of the highlighted conclusions was that digital health interventions should be adapted to the local context because these World Health Organization guidelines were open. Moreover, the System Usability Scale is an effective method to compare different digital health solutions.

Indexed as

Benchmarkingcommunication channelcoronavirus disease 2019digital healthWorld Health Organization

Identifiers

PMID36569821
PMCPMC9772938
OpenAlexW4312212056

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.