Evidence map›Paper›PMID 37256659›Full record

ArticleJMIR formative research2023

Mobile Health Requirements for the Occupational Health Assessment of Health Care Professionals: Delphi Study.

Ana Belen Naranjo-Saucedo, German Antonio Escobar-Rodriguez, Carmen Tabernero, Esther Cuadrado, Carlos Luis Parra-Calderon, Alicia Arenas

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. 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
0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

6 authors at 3 institutions in 1 country.

Ana Belen Naranjo-SaucedoInstitute of Biomedicine of Seville/Virgen del Rocío University Hospital, Consejo Superior de Investigaciones Científicas/University of Seville, Sevilla, Spain.ORCID https://orcid.org/0000-0002-0535-8023
German Antonio Escobar-RodriguezInstitute of Biomedicine of Seville/Virgen del Rocío University Hospital, Consejo Superior de Investigaciones Científicas/University of Seville, Sevilla, Spain.ORCID https://orcid.org/0000-0002-3981-8534
Carmen TaberneroMaimonides Biomedical Research Institute of Córdoba, Córdoba, Spain.ORCID https://orcid.org/0000-0003-4338-7367
Esther CuadradoMaimonides Biomedical Research Institute of Córdoba, Córdoba, Spain.ORCID https://orcid.org/0000-0002-9903-0052
Carlos Luis Parra-CalderonInstitute of Biomedicine of Seville/Virgen del Rocío University Hospital, Consejo Superior de Investigaciones Científicas/University of Seville, Sevilla, Spain.ORCID https://orcid.org/0000-0003-2609-575X
Alicia ArenasMaimonides Biomedical Research Institute of Córdoba, Córdoba, Spain.ORCID https://orcid.org/0000-0002-5918-8760
Instituto de Biomedicina de Sevilla · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ESUniversidad de Salamanca · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, owing to the COVID-19 pandemic, awareness of the high level of stress among health care professionals has increased, and research in this area has intensified. Hospital staff members have historically been known to work in an environment involving high emotional demands, time pressure, and workload. Furthermore, the pandemic has increased the strain experienced by health care professionals owing to the high number of people they need to manage and, on many occasions, the limited available resources with which they must carry out their functions. These psychosocial risks are not always well dealt with by the organization or the professionals themselves. Therefore, it is necessary to have tools to assess these psychosocial risks and to optimize the management of this demand from health care professionals. Digital health, and more specifically, mobile health (mHealth), is presented as a health care modality that can contribute greatly to respond to these unmet needs.

objectiveWe aimed to analyze whether mHealth tools can provide value for the study and management of psychosocial risks in health care professionals, and assess the requirements of these tools.

methodsA Delphi study was carried out to determine the opinions of experts on the relevance of using mHealth tools to evaluate physiological indicators and psychosocial factors in order to assess occupational health, and specifically, stress and burnout, in health care professionals. The study included 58 experts with knowledge and experience in occupational risk prevention, psychosocial work, and health-related technology, as well as health professionals from private and public sectors.

resultsOur data suggested that there is still controversy about the roles that organizations play in occupational risk prevention in general and psychosocial risks in particular. An adequate assessment of the stress levels and psychosocial factors can help improve employees' well-being. Moreover, making occupational health evaluations available to the team would positively affect employees by increasing their feelings of being taken into account by the organization. This assessment can be improved with mHealth tools that identify and quickly highlight the difficulties or problems that occur among staff and work teams. However, to achieve good adherence and participation in occupational health and safety evaluations, experts consider that it is essential to ensure the privacy of professionals and to develop feelings of being supported by their supervisors.

conclusionsFor years, mHealth has been used mainly to propose intervention programs to improve occupational health. Our research highlights the usefulness of these tools for evaluating psychosocial risks in a preliminary and essential phase of approaches to improve the health and well-being of professionals in health care settings. The most urgent requirements these tools must meet are those aimed at protecting the confidentiality and privacy of measurements.

Indexed as

Delphi methodhealth care professionalsmHealthmobile healthoccupational health assessmentpsychosocial risks

Identifiers

PMID37256659
PMCPMC10267780
OpenAlexW4378781580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.