Evidence map›Paper›PMID 40496456›Full record

ArticleFrontiers in public health2025

A stress-reduction eHealth intervention for healthcare workers in primary care settings: an implementation study.

Blanca Garcia-Vazquez, Ainoa Muñoz-Sanjosé, Andrea Fernández-López, Irene Pérez-de-Ciriza, Luis Nocete-Navarro, Elena Almaraz-Garzón, María Teresa Martín-Palacios, Blanca Novella, María Fe Bravo-Ortiz, José Luis Ayuso-Mateos and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

12 authors.

Blanca Garcia-VazquezDepartment of Psychiatry, Clinical Psychology and Mental Health, Hospital Universitario La Paz, Madrid, Spain.
Ainoa Muñoz-SanjoséDepartment of Psychiatry, Clinical Psychology and Mental Health, Hospital Universitario La Paz, Madrid, Spain.
Andrea Fernández-LópezDepartment of Psychiatry, Hospital Universitario La Princesa, Madrid, Spain.
Irene Pérez-de-CirizaDepartment of Psychiatry, Clinical Psychology and Mental Health, Hospital Universitario La Paz, Madrid, Spain.
Luis Nocete-NavarroDepartment of Psychiatry, Clinical Psychology and Mental Health, Hospital Universitario La Paz, Madrid, Spain.
Elena Almaraz-GarzónBustarviejo Primary Care Health Centre, Madrid, Spain.
María Teresa Martín-PalaciosBustarviejo Primary Care Health Centre, Madrid, Spain.
Blanca NovellaInstituto de Investigación Sanitaria del Hospital Universitario La Princesa, Madrid, Spain.
María Fe Bravo-OrtizDepartment of Psychiatry, Clinical Psychology and Mental Health, Hospital Universitario La Paz, Madrid, Spain.
José Luis Ayuso-MateosDepartment of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain.
Carmen BayónDepartment of Psychiatry, Clinical Psychology and Mental Health, Hospital Universitario La Paz, Madrid, Spain.
Roberto MediavillaDepartment of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Healthcare systems across Europe are facing significant challenges in retaining and recruiting healthcare workers (HCWs). Mental health problems, including anxiety, depression, and burnout, are major drivers of turnover. Although some psychological interventions, particularly eHealth tools, are effective, they are rarely tested under real-world conditions, widening the research-implementation gap. This study evaluates the implementation outcomes of an eHealth intervention that was shown to reduce anxiety and depression among frontline HCWs during the COVID-19 pandemic. Methods: The study was conducted at a primary care centre affiliated with Hospital Universitario La Paz in Madrid, between October 2023 and February 2024. The intervention "Doing What Matters in Times of Stress" (DWM), consisted of a web-based, self-help tool and was offered in hybrid and remote formats. Mixed methods were employed to assess key implementation outcomes from Proctor's framework, combining quantitative data from pre- and postintervention assessments with qualitative insights from interviews. Results: Seventeen participants were included in the study, with 59% choosing the hybrid format and 41% selecting remote sessions. Participation rate was 44% and retention rates were 80 and 100% for the hybrid and remote formats, respectively. The intervention was perceived as acceptable, appropriate, and feasible. Flexible delivery formats and robust group dynamics, particularly in the hybrid format, were identified as key contributors to the intervention's success, enhancing group cohesion and fostering empathy among participants. Barriers, such as stigma and time constraints were identified, while enabling factors included practical content and flexibility. Conclusion: This study evaluated the fidelity, feasibility, acceptability, and appropriateness of DWM intervention and remote/hybrid delivery formats among HCWs at a primary care centre in Madrid. Data suggests future studies should maintain hybrid and remote delivery formats and address specific access challenges. These findings provide crucial insights for expanding mental health interventions for HCWs across diverse settings, with implications for public health policy.

Indexed as

COVID-19Health PersonnelPrimary Health CareStress, PsychologicalTelemedicineAdultAnxietyDepressionFemaleHumansMaleMiddle AgedSARS-CoV-2SpaineHealthhealthcare workersimplementation sciencemental healthoccupational healthpublic health

Identifiers

PMID40496456
PMCPMC12149415

What OpenQuestion holds

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LicenceCC BY
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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.