Cited by 28Digital Mental Health InterventionsCOVID-19 and Mental HealthMobile Health and mHealth Applications

Effect of a mobile‐based intervention on mental health in frontline healthcare workers against COVID‐19: Protocol for a randomized controlled trial

Open access
Serrano‐Ripoll, Maria J., Ricci‐Cabello, Ignacio, Jiménez, Rafael, Zamanillo‐Campos, Rocío, Yañez‐Juan, Aina M., Bennasar‐Veny, Miquel, Sitges, Carolina, Gervilla, Elena +9 more·2021·Journal of Advanced Nursing

Published version of a preprint

Abstract

Aim: To evaluate the impact of a psychoeducational, mobile health intervention based on cognitive behavioural therapy and mindfulness‐based approaches on the mental health of healthcare workers at the frontline against COVID‐19 in Spain. Design: We will carry out a two‐week, individually randomized, parallel group, controlled trial. Participants will be individually randomized to receive the PsyCovidApp intervention or control App intervention. Methods: The PsyCovidApp intervention will include five modules: emotional skills, lifestyle behaviour, work stress and burnout, social support, and practical tools. Healthcare workers having attended patients with COVID‐19 will be randomized to receive the PsyCovidApp intervention (intervention group) or a control App intervention (control group). A total of 440 healthcare workers will be necessary to assure statistical power. Measures will be collected telephonically by a team of psychologists at baseline and immediately after the 2 weeks intervention period. Measures will include stress, depression and anxiety (DASS‐21 questionnaire—primary endpoint), insomnia (ISI), burnout (MBI‐HSS), post‐traumatic stress disorder (DTS), and self‐efficacy (GSE). The study was funded in May 2020, and was ethically approved in June 2020. Trial participants, outcome assessors and data analysts will be blinded to group allocation. Discussion: Despite the increasing use of mobile health interventions to deliver mental health care, this area of research is still on its infancy. This study will help increase the scientific evidence about the effectiveness of this type of intervention on this specific population and context. Impact: Despite the lack of solid evidence about their effectiveness, mobile‐based health interventions are already being widely implemented because of their low cost and high scalability. The findings from this study will help health services and organizations to make informed decisions in relation to the development and implementation of this type of interventions, allowing them pondering not only their attractive implementability features, but also empirical data about its benefits. Clinical trial registration: NCT04393818 (ClinicalTrials.gov identifier). Approved funding: May 2020.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/jan.14813

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Serrano‐Ripoll, M. J., Ricci‐Cabello, I., Jiménez, R., Zamanillo‐Campos, R., Yañez‐Juan, A. M., Bennasar‐Veny, M., Sitges, C., Gervilla, E., Leiva, A., García‐Campayo, J., García‐Buades, M. E., García‐Toro, M., Pastor‐Moreno, G., Ruiz‐Perez, I., Alonso‐Coello, P., Llobera, J., & Fiol‐deRoque, M. A.
Affiliations
  • Health Research Institute of the Balearic Islands (IdISBa) Palma Balearic Islands Spain
  • Servei de Salut de les Illes Balears (ES)
  • Health Research Institute of the Balearic Islands (ES)
  • Valencian International University (ES)
  • Red de Investigación en Actividades Preventivas y Promoción de la Salud (ES)
  • Department of Psychology University of the Balearic Islands (UIB) Palma Balearic Islands Spain
  • Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES)
  • CIBER de Epidemiología y Salud Pública (CIBERESP) Madrid Spain
  • Iberoamerican Cochrane Centre (ES)
Corresponding author
Ricci‐Cabello, Ignacio
Venue
Journal of Advanced Nursing
Publisher
Wiley
Published
2021-03-06
Volume
77
Issue
6
Pages
2898-2907
ISSN
  • 0309-2402 (ISSN-L)
  • 1365-2648
OpenAlex
W3133785622
Cited by
28
References
14
Citations by year
2026: 2 · 2025: 2 · 2024: 5 · 2023: 4 · 2022: 7 · 2021: 7 · 2017: 1
FWCI
5.11
Type
journal article
Language
en
Open access
Locations
  • Journal of Advanced Nursing (publishedVersion)
  • medRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
  • Docusalut (Conselleria de Salut i Consum del Govern de les Illes Balears) (submittedVersion, cc-by-nc-nd)
  • Hispana (submittedVersion, cc-by-nc-nd)
Funders
Govern de les Illes Balears
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
mobile health intervention, mental health, frontline health workers, COVID-19 pandemic, psychoeducation, cognitive behavioral therapy, mindfulness, burnout, occupational stress, depression, anxiety, post-traumatic stress disorder, insomnia, self-efficacy, social support
MeSH terms
COVID-19, SARS-CoV-2, Health Personnel, Humans, Mental Health, Spain, Randomized Controlled Trials as Topic, Treatment Outcome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review