Evidence map›Paper›PMID 33124604›Full record

ReviewLa Medicina del lavoro2020

The management of psychosocial risks at work: state of the art and future perspectives.

Sergio Iavicoli, Cristina Di Tecco

Abstract readReview
In one paragraph

Review in La Medicina del lavoro, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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

2 authors.

Sergio IavicoliInail, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Monte Porzio Catone, Roma. c.ditecco@inail.it.
Cristina Di TeccoInail, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Monte Porzio Catone, Roma. c.ditecco@inail.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychosocial risk management represents a current challenge in Occupational Health and Safety (OSH) due to their impacts of such risks on work stress and the rapid changes of the world of work. An effective psychosocial risk management can be carried out on the basis of an integrated multidisciplinary model founded on the risk management paradigm. Over years, the occupational medicine has played an important role at national level in this area, contributing to the creation of an integrated and participatory approach.

objectivesThis study explores the developmental process of psychosocial risk management over time in Europe and Italy, to offer an update on the state of the art at a national level and insights on future perspectives.

methodsThrough a reflection on research developments, in Europe and in Italy, we outline how the knowledge obtained has been translated into policies, which have encouraged the implementation at international and national level of consolidated practices for the management of psychosocial risks.

resultsAn overview of some key steps of the inclusion of psychosocial aspects in OSH is presented, highlighting the positive impact of the multidisciplinary approach. Moreover, the driving role played by policies for implementation in organizational practice is also highlighted, with particular reference to the Italian example. DISCUSSION: Starting from the existing knowledge, it is necessary to tackle emerging risks by continuing to translate the knowledge obtained from research into policies that have a driving role in the identification and implementation of actions and practical tools.

Indexed as

Occupational HealthOccupational MedicineOccupational StressEuropeHumansItaly

Identifiers

PMID33124604
PMCPMC7809977

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.