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

被引:7
作者
Pega, Frank [1 ]
Momen, Natalie C. [1 ]
Gagliardi, Diana [2 ]
Bero, Lisa A. [3 ,4 ]
Boccuni, Fabio [2 ]
Chartres, Nicholas [5 ]
Descatha, Alexis [6 ,7 ,8 ]
Dzhambov, Angel M. [9 ,10 ]
Godderis, Lode [11 ,12 ]
Loney, Tom [13 ]
Mandrioli, Daniele [14 ]
Modenese, Alberto [15 ]
van der Molen, Henk F. [16 ]
Morgan, Rebecca L. [17 ]
Neupane, Subas [18 ]
Pachito, Daniela [19 ,20 ]
Paulo, Marilia S. [21 ,22 ]
Prakash, K. C. [18 ]
Scheepers, Paul T. J. [23 ]
Teixeira, Liliane [24 ]
Tenkate, Thomas [25 ]
Woodruff, Tracey J. [5 ]
Norris, Susan L. [26 ,27 ]
机构
[1] WHO, Dept Environm Climate Change & Hlth, Ave Appia 20, CH-1211 Geneva 27, Switzerland
[2] Inail, Epidemiol & Hyg, Dept Occupat & Environm Med, Rome, Italy
[3] Univ Sydney, Charles Perkins Ctr, Sydney, NSW, Australia
[4] Univ Colorado, Gen Internal Med Publ Hlth, Ctr Bioeth & Humanities, Anschutz Med Campus, Denver, CO USA
[5] Univ Calif San Francisco, Dept Obstet Gynecol & Reprod Sci, Program Reprod Hlth & Environm, San Francisco, CA USA
[6] Paris Hosp, Univ Hosp West Suburb Paris, AP HP, Occupat Hlth Unit,Poincare Site, Garches, France
[7] Versailles St Quentin Univ, UMS 011, UMR S 1168, Paris Saclay Univ UVSQ, Paris, France
[8] Univ Angers, CHU Angers, Univ Rennes,UMR S1085,CAPTV CDC, INSERM,EHESP,Irset Inst Rech Sante Environm & Tra, Angers, France
[9] Med Univ Plovdiv, Fac Publ Hlth, Dept Hyg, Plovdiv, Bulgaria
[10] Graz Univ Technol, Inst Highway Engn & Transport Planning, Graz, Austria
[11] Katholieke Univ Leuven, Ctr Environm & Hlth, Leuven, Belgium
[12] IDEWE, KIR Dept Knowledge Informat & Res, External Serv Prevent & Protect Work, Leuven, Belgium
[13] Mohammed Bin Rashid Univ Med & Hlth Sci, Coll Med, Dubai, U Arab Emirates
[14] Ramazzini Inst, Cesare Maltoni Canc Res Ctr, Bologna, Italy
[15] Univ Modena & Reggio Emilia, Dept Biomed Metab & Neural Sci, Modena, Italy
[16] Amsterdam UMC, Amsterdam Publ Hlth Res Inst, Locat AMC, Coronel Inst Occupat Hlth, Amsterdam, Netherlands
[17] McMaster Univ, Dept Hlth Res Methods Evidence & Impact, Hamilton, ON, Canada
[18] Univ Tampere, Fac Social Sci Hlth Sci, Tampere, Finland
[19] Univ Fed Sao Paulo, Evidence Based Hlth, Sao Paulo, Brazil
[20] Cochrane Brazil, Sao Paulo, Brazil
[21] United Arab Emirates Univ, Coll Med & Hlth Sci, Inst Publ Hlth, Al Ain, U Arab Emirates
[22] Univ Nova Lisboa, Inst Higiene & Med Trop, Global Hlth & Trop Med, Lisbon, Portugal
[23] Radboudumc, Radboud Inst Hlth Sci, Nijmegen, Netherlands
[24] Fundacao Oswaldo Cruz, WorkersHlth & Human Ecol Res Ctr, Natl Sch Publ Hlth Sergio Arouca, Rio De Janeiro, RJ, Brazil
[25] Ryerson Univ, Sch Occupat & Publ Hlth, Toronto, ON, Canada
[26] Oregon Hlth & Sci Univ, Portland, OR 97201 USA
[27] WHO, Dept Qual Assurance Norms & Stand, Geneva, Switzerland
关键词
Quality of evidence; Systematic review; Prevalence studies; Exposure science; Occupational health; Body of evidence; ENVIRONMENTAL-HEALTH SCIENCE; BIAS TOOL; PROTOCOL; GRADE; RELIABILITY; INTEGRATION; POPULATION; COHORT;
D O I
10.1016/j.envint.2022.107136
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: The 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. Methods: Following 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-i) between individual raters and rater teams for the downgrade domains. P-i ranged between 0.00 (no two pilot testers selected the same rating) and 1.00 (all pilot testers selected the same rating). Case studies were conducted of experiences of QoE-SPEO's use in two WHO/ILO systematic reviews. Results: We 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-i: 0.36-1.00) and rater teams (0.20-1.00). Sparse data prevented rigorous assessment of inter-rater agreement in quality of evidence ratings. Conclusions: We 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.
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页数:16
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