Evidence map›Paper›PMID 35182944›Full record

ArticleEnvironment international2022

Assessing the quality of evidence in studies estimating prevalence of exposure to occupational risk factors: The QoE-SPEO approach applied in the systematic reviews from the WHO/ILO Joint Estimates of the Work-related burden of disease and Injury.

Frank Pega, Natalie C Momen, Diana Gagliardi, Lisa A Bero, Fabio Boccuni, Nicholas Chartres, Alexis Descatha, Angel M Dzhambov, Lode Godderis, Tom Loney and 13 more

Abstract read
In one paragraph

Article in Environment international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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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

23 authors.

Frank PegaDepartment of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland. Electronic address: pegaf@who.int.
Natalie C MomenDepartment of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland.
Diana GagliardiInail, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Rome, Italy.
Lisa A BeroCharles Perkins Centre, The University of Sydney, Sydney, Australia; General Internal Medicine/Public Health/Center for Bioethics and Humanities, University of Colorado-Anschutz Medical Campus, Denver, CO, United States.
Fabio BoccuniInail, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Rome, Italy.
Nicholas ChartresProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, United States.
Alexis DescathaAP-HP (Paris Hospital "Assistance Publique Hôpitaux de Paris"), Occupational Health Unit, University Hospital of West Suburb of Paris, Poincaré Site, Garches, France /Versailles St-Quentin Univ - Paris Saclay Univ (UVSQ), UMS 011, UMR-S 1168, France; Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, CAPTV CDC, Angers, France.
Angel M DzhambovDepartment of Hygiene, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria; Institute for Highway Engineering and Transport Planning, Graz University of Technology, Graz, Austria.
Lode GodderisCentre for Environment and Health, KU Leuven, Leuven, Belgium; KIR Department (Knowledge, Information & Research), IDEWE, External Service for Prevention and Protection at Work, Leuven, Belgium.
Tom LoneyCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Daniele MandrioliCesare Maltoni Cancer Research Center, Ramazzini Institute, Bologna, Italy.
Alberto ModeneseDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Henk F van der MolenCoronel Institute of Occupational Health, Amsterdam UMC, location AMC, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.
Rebecca L MorganDepartment of Health Research Methods, Evidence and Impact, McMaster University, Ontario, Canada.
Subas NeupaneFaculty of Social Science (Health Sciences), University of Tampere, Tampere, Finland.
Daniela PachitoEvidence-based Health, Universidade Federal de São Paulo, Sao Paulo, Brazil; Cochrane Brazil, Sao Paulo, Brazil.
Marilia S PauloInstitute of Public Health, College of Medicine & Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates; Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal.
K C PrakashFaculty of Social Science (Health Sciences), University of Tampere, Tampere, Finland.
Paul T J ScheepersRadboud Institute for Health Sciences, Radboudumc, Nijmegen, the Netherlands.
Liliane TeixeiraWorkers' Health and Human Ecology Research Center, National School of Public Health Sergio Arouca, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Thomas TenkateSchool of Occupational and Public Health, Ryerson University, Toronto, Ontario, Canada.
Tracey J WoodruffProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, United States.
Susan L NorrisOregon Health & Science University, Portland, OR, United States; Department of Quality Assurance, Norms and Standards, World Health Organization, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) and the International Labour Organization (ILO) have produced the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury (WHO/ILO Joint Estimates). For these, systematic reviews of studies estimating the prevalence of exposure to selected occupational risk factors have been conducted to provide input data for estimations of the number of exposed workers. A critical part of systematic review methodology is to assess the quality of evidence across studies. In this article, we present the approach applied in these WHO/ILO systematic reviews for performing such assessments on studies of prevalence of exposure. It is called the Quality of Evidence in Studies estimating Prevalence of Exposure to Occupational risk factors (QoE-SPEO) approach. We describe QoE-SPEO's development to date, demonstrate its feasibility reporting results from pilot testing and case studies, note its strengths and limitations, and suggest how QoE-SPEO should be tested and developed further.

methodsFollowing a comprehensive literature review, and using expert opinion, selected existing quality of evidence assessment approaches used in environmental and occupational health were reviewed and analysed for their relevance to prevalence studies. Relevant steps and components from the existing approaches were adopted or adapted for QoE-SPEO. New steps and components were developed. We elicited feedback from other systematic review methodologists and exposure scientists and reached consensus on the QoE-SPEO approach. Ten individual experts pilot-tested QoE-SPEO. To assess inter-rater agreement, we counted ratings of expected (actual and non-spurious) heterogeneity and quality of evidence and calculated a raw measure of agreement (P

resultsWe found no existing quality of evidence assessment approach for occupational exposure prevalence studies. We identified three relevant, existing approaches for environmental and occupational health studies of the effect of exposures. Assessments using QoE-SPEO comprise three steps: (1) judge the level of expected heterogeneity (defined as non-spurious variability that can be expected in exposure prevalence, within or between individual persons, because exposure may change over space and/or time), (2) assess downgrade domains, and (3) reach a final rating on the quality of evidence. Assessments are conducted using the same five downgrade domains as the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach: (a) risk of bias, (b) indirectness, (c) inconsistency, (d) imprecision, and (e) publication bias. For downgrade domains (c) and (d), the assessment varies depending on the level of expected heterogeneity. There are no upgrade domains. The QoE-SPEO's ratings are "very low", "low", "moderate", and "high". To arrive at a final decision on the overall quality of evidence, the assessor starts at "high" quality of evidence and for each domain downgrades by one or two levels for serious concerns or very serious concerns, respectively. In pilot tests, there was reasonable agreement in ratings for expected heterogeneity; 70% of raters selected the same rating. Inter-rater agreement ranged considerably between downgrade domains, both for individual rater pairs (range P

conclusionsWe present QoE-SPEO as an approach for assessing quality of evidence in prevalence studies of exposure to occupational risk factors. It has been developed to its current version (as presented here), has undergone pilot testing, and was applied in the systematic reviews for the WHO/ILO Joint Estimates. While the approach requires further testing and development, it makes steps towards filling an identified gap, and progress made so far can be used to inform future work in this area.

Indexed as

Occupational DiseasesOccupational ExposureCost of IllnessHumansPrevalenceReview Literature as TopicWorld Health OrganizationBody of evidenceExposure scienceOccupational healthPrevalence studiesQuality of evidenceSystematic review

Identifiers

PMID35182944
PMCPMC8885428

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LicenceCC BY
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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.