Evidence map›Paper›PMID 31475689›Full record

ArticleLa Medicina del lavoro2019

A hospital occupational diseases unit: an experience to increase the recognition of occupational disease.

Fernando G Benavides, Jose Maria Ramada, Monica Ubalde-López, George L Delclos, Consol Serra

Abstract read
In one paragraph

Article in La Medicina del lavoro, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Referral criteria for occupational musculo-skeletal diseases: analysis of 7-year (2012-2018) NODIS data.Journal of occupational medicine and toxicology (London, England) · 2025
    Article
  2. Article
  3. A Multicenter Study to Assess a Systematic Screening of Occupational Exposures in Lung Cancer Patients.International journal of environmental research and public health · 2023
    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.

Fernando G BenavidesCenter for Research in Occupational Disease, Universitat Pompeu Fabra. fernando.benavides@upf.edu.
Jose Maria Ramada
Monica Ubalde-López
George L Delclos
Consol Serra

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnder-reporting and recognition of occupational diseases is a problem in countries with workers' compensation schemes.

objectiveTo describe the role of a public hospital Occupational Disease Unit (ODU) in Barcelona that resulted in improved reporting and official recognition of occupational diseases from 2010 to 2017.

methodsHospital physicians referred possible cases of work-related disease to the ODU, where in-depth medical evaluations were then performed, and a detailed report addressing causation was generated. Patients with confirmed cases of occupational disease were counselled and followed while pursuing official recognition and benefits claims by the Spanish Social Security System.

resultsBetween 2010 and 2017, 149 cases were referred to the ODU for evaluation. Of these, 80 (53.7%) were confirmed to have an occupational disease, 54 (67.5%) patients pursued official recognition, and to date 26 (48.1%) have been recognized by the Social Security System. The recognition rate varied by diagnosis group (p=0.003), and was highest for skin diseases (71.4%) and cancer (66.7%), and lowest for hearing loss (29.4%) and musculoskeletal disorders (16.7%).

conclusionsA hospital ODU can improve reporting and official recognition of occupational diseases that otherwise might not have been recognized. Expanding this experience to other Spanish and European hospitals could improve the efficiency of workers' compensation schemes and better support preventive policies.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesHospital UnitsHumansWorkers' Compensation

Identifiers

PMID31475689
PMCPMC7809997

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.