Evidence map›Paper›PMID 36673989›Full record

ReviewInternational journal of environmental research and public health2023

Workers' Health under Algorithmic Management: Emerging Findings and Urgent Research Questions.

Emilia F Vignola, Sherry Baron, Elizabeth Abreu Plasencia, Mustafa Hussein, Nevin Cohen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  13. A Price Too High: Injury and Assault among Delivery Gig Workers in New York City.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    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

5 authors.

Emilia F VignolaDepartment of Community Health and Social Sciences, City University of New York Graduate School of Public Health and Health Policy, 55 West 125th Street, New York, NY 10027, USA.
Sherry BaronBarry Commoner Center for Health and the Environment, Queens College, City University of New York, 311 Remsen Hall, 65-30 Kissena Blvd, Queens, NY 11367, USA.ORCID 0000-0003-3958-1458
Elizabeth Abreu PlasenciaBarry Commoner Center for Health and the Environment, Queens College, City University of New York, 311 Remsen Hall, 65-30 Kissena Blvd, Queens, NY 11367, USA.
Mustafa HusseinDepartment of Health Policy and Management, City University of New York Graduate School of Public Health and Health Policy, 55 West 125th Street, New York, NY 10027, USA.ORCID 0000-0002-7364-5796
Nevin CohenDepartment of Health Policy and Management, City University of New York Graduate School of Public Health and Health Policy, 55 West 125th Street, New York, NY 10027, USA.ORCID 0000-0003-4961-572X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Algorithms are increasingly used instead of humans to perform core management functions, yet public health research on the implications of this phenomenon for worker health and well-being has not kept pace with these changing work arrangements. Algorithmic management has the potential to influence several dimensions of job quality with known links to worker health, including workload, income security, task significance, schedule stability, socioemotional rewards, interpersonal relations, decision authority, and organizational trust. To describe the ways algorithmic management may influence workers' health, this review summarizes available literature from public health, sociology, management science, and human-computer interaction studies, highlighting the dimensions of job quality associated with work stress and occupational safety. We focus on the example of work for platform-based food and grocery delivery companies; these businesses are growing rapidly worldwide and their effects on workers and policies to address those effects have received significant attention. We conclude with a discussion of research challenges and needs, with the goal of understanding and addressing the effects of this increasingly used technology on worker health and health equity.

Indexed as

Occupational HealthHumansInterpersonal RelationsWorkloadalgorithmic managementgig economyplatform workworker healthwork stress

Identifiers

PMID36673989
PMCPMC9859016

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.