Evidence map›Paper›PMID 39813967›Full record

ArticleInternational journal of medical informatics2025

Impact of the COVID-19 pandemic on mHealth adoption: Identification of the main barriers through an international comparative analysis.

Ana Jiménez-Zarco, Sergio Cámara Mateos, Marina Bosque-Prous, Albert Espelt, Joan Torrent-Sellens, Keyrellous Adib, Karapet Davtyan, Ryan Dos Santos, Francesc Saigí-Rubió

Abstract readComparative Study
In one paragraph

Article in International journal of medical informatics, 2025. 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
–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.

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.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

9 authors.

Ana Jiménez-ZarcoFaculty of Economics and Business, Universitat Oberta de Catalunya, Barcelona, Spain.
Sergio Cámara MateosFaculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain.
Marina Bosque-ProusFaculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), C/Monforte de Lemos 3 Pabellón 11 28029 Madrid, Spain.
Albert EspeltEpi4Health, Departament de Psicobiologia i Metodologia en Ciències de la Salut, Universitat Autònoma de Barcelona (UAB), C/de Ca n'Altayó s/n 08193 Bellaterra, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), C/Monforte de Lemos 3 Pabellón 11 28029 Madrid, Spain.
Joan Torrent-SellensFaculty of Economics and Business, Universitat Oberta de Catalunya, Barcelona, Spain.
Keyrellous AdibWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.
Karapet DavtyanWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.
Ryan Dos SantosWorld Health Organization Regional Office for Europe, Copenhagen, Denmark. Electronic address: dosr@who.int.
Francesc Saigí-RubióFaculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic greatly challenged health systems worldwide. The adoption and application of mHealth technology emerged as a critical response. However, the permanent implementation and use of such technology faces several barriers, which vary by each country's innovation level and specific health policies. This study provides a detailed analysis of the transformations in mHealth service implementation within the context of the COVID-19 pandemic.

objectivesThe study analyses the changes to mHealth service implementation during the COVID-19 pandemic. It seeks to identify the main uses of technology in mHealth, to assess their level of adoption, and to address any barriers found. It also aims to compare different countries to understand how factors such as geographical location and public health policies affect mHealth status worldwide.

methodsThe survey tool was a revised version of the World Health Organization (WHO) 2015 Global Survey on eHealth, which had been updated to reflect the latest advances and policy priorities. The 2022 Survey on Digital Health in the WHO European Region was conducted by the WHO between April and October 2022 to gather information from the Member States of that region.

resultsThis study shows that across the countries analysed, significant variations occurred in mHealth service adoption during the pandemic. Teleconsultation, access to patient information, and appointment reminders were the most implemented services, highlighting the importance of remote care during health crises. Regional differences were identified regarding barriers such as privacy and security and patient digital literacy, underscoring the need to address such shortcomings. These conclusions have important implications for stakeholders in the digital health sector and emphasise the need for collaboration to address the identified challenges.

Indexed as

COVID-19TelemedicineGlobal HealthHumansPandemicsSARS-CoV-2Surveys and QuestionnairesBarriersCOVID-19Digital healthEuropeHealthcaremHealthPandemicPatient digital literacyPrivacy and security

Identifiers

PMID39813967
PMCPMC11833430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.