Evidence map›Paper›PMID 40753396›Full record

ArticleBMC public health2025

What is known about the health of location-based and online web-based digital labour platform workers? A scoping review of the literature.

Nuria Matilla-Santander, Filippa Lundh, Signild Kvart, Sherry L Baron, Theo Bodin, Jessie Gevaert, Carin Håkansta, Julio C Hernando, Carles Muntaner, Bertina Kreshpaj

Abstract readScoping Review
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors.

Nuria Matilla-SantanderUnit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Solnavägen 4, 113 65, Stockholm, Sweden. nuria.matilla.santander@ki.se.
Filippa LundhUnit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Solnavägen 4, 113 65, Stockholm, Sweden.
Signild KvartUnit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Solnavägen 4, 113 65, Stockholm, Sweden.
Sherry L BaronBarry Commoner Center for Health and the Environment, Queens College, City University of New York, New York City, USA.
Theo BodinUnit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Solnavägen 4, 113 65, Stockholm, Sweden.
Jessie GevaertDepartment of Sociology, Brussels Institute for Social and Population Studies (BRISPO), Vrije Universiteit Brussel, Brussels, Belgium.
Carin HåkanstaUnit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Solnavägen 4, 113 65, Stockholm, Sweden.
Julio C HernandoUnit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Solnavägen 4, 113 65, Stockholm, Sweden.
Carles MuntanerLawrence S. Bloomberg Faculty of Nursing and Division of Social and Behavioral Sciences, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Bertina KreshpajSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital labour platforms are transforming work organization, offering new opportunities but also raising concerns about precarious conditions and health risks. Despite increasing attention to platform work, limited research has examined its direct impact on workers' physical, mental, and social well-being.

objectivesThe objective of this scoping review is to examine current empirical studies investigating the health effects of working via digital labour platforms, aiming to (i) summarize the existing evidence, (ii) pinpoint knowledge gaps, and (iii) identify areas for methodological enhancements.

methodsWe search for peer-reviewed studies published until December 2024 from Web of Science and PubMed, alongside grey literature. Inclusion criteria covered papers with original data, using qualitative, quantitative, or mixed methods, resulting in 40 included studies. A pre-established theoretical framework guided result reporting, emphasizing three characteristics affecting worker health: (i) business practices, (ii) employment conditions, and (iii) work environment hazards.

resultsIn summary, literature shows a link between digital platform work and poor health. The current evidence, mainly focused on mental health and location-based platform workers, highlights factors contributing to poor physical and mental health, including low-quality employment conditions and psychosocial work environment hazards. Limited evidence suggests a correlation between business practices-algorithmic management and rating systems-and poor mental health. Knowledge gaps include the health impact of web-based platforms, especially medical consultation ones and location-based domestic and care services platforms, and less-explored outcomes like musculoskeletal pain and occupational injuries. Methodological limitations, such as low sample size and lack of control groups, were noted.

conclusionsThis review identifies methodological improvements and knowledge gaps, guiding future research to comprehend the impact of digital platform work on health. As legislation evolves to enhance platform workers' job conditions, researching their health is crucial for offering practical recommendations and shaping evidence-based policies.

Indexed as

EmploymentInternetOccupational HealthWorkplaceHumansMental HealthAlgorithmicDigitalization of workGig workOccupational safety and healthPlatformizationPrecarious employment

Identifiers

PMID40753396
PMCPMC12317597

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.