Evidence map›Paper›PMID 35589299›Full record

ArticleJournal of safety research2022

Reliability and validity of an employer-completed safety hazard and management assessment questionnaire.

Libby L Moore, Steven J Wurzelbacher, I-Chen Chen, Michael P Lampl, Steven J Naber

Abstract read
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Article in Journal of safety research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

5 authors.

Libby L MooreCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1090 Tusculum Ave., Cincinnati, OH 45226-1998, USA. Electronic address: LMoore5@cdc.gov.
Steven J WurzelbacherCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1090 Tusculum Ave., Cincinnati, OH 45226-1998, USA. Electronic address: SWurzelbacher@cdc.gov.
I-Chen ChenCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1090 Tusculum Ave., Cincinnati, OH 45226-1998, USA. Electronic address: okv0@cdc.gov.
Michael P LamplOhio Bureau of Workers' Compensation, 30 West Spring Street, Columbus, OH 43215-2256, USA. Electronic address: Michael.L.1@bwc.state.oh.us.
Steven J NaberOhio Bureau of Workers' Compensation, 30 West Spring Street, Columbus, OH 43215-2256, USA. Electronic address: Steven.N.1@bwc.state.oh.us.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionManaging and improving occupational safety and health requires evaluating performance. Organizations are encouraged to use both lagging indicators (such as injury rates and costs) and leading indicators (such as questionnaire-assessed safety hazards and management practices) for this purpose, but the association between types of indicators over time can be complex. Longitudinal data can assist in clarifying these associations and increasing indicator utility.

methodEmployer data were used to evaluate the reliability and predictive validity of a safety management questionnaire. Employers' longitudinal questionnaire responses and workers' compensation (WC) claims data were analyzed using a marginal model with time-dependent covariates. Multivariable Poisson and linear regression analyses with claim rate and logarithmic cost, respectively, as dependent variables were carried out after adjusting for industry sector and size. Questionnaire data were used to evaluate questionnaire scaling properties and to assess generalizability of results.

resultsOne safety management scale was associated with a better WC outcome as predicted and two scales were unexpectedly associated with poorer WC claim outcomes. Analyses assisted in interpreting the latter results, suggesting that WC outcomes were a stimulus for change in some cases. Twelve hazards assessed on the questionnaire were associated with poorer WC claim outcomes as predicted.

conclusionsThis study extends leading indicator research using longitudinal questionnaire and WC claims data from employers. Analyses provided insight into associations between leading and lagging indicators, emphasizing the importance of both for safety improvement. Safety management questionnaire scales were predictive of WC claim outcomes, although support for hazard assessments as leading indicators was stronger. PRACTICAL APPLICATIONS: This study supports the use of employer-completed hazard assessment questionnaires for targeting and prioritizing improvement efforts. Employer-completed safety management scales may be useful for directing improvement efforts, although the conditions under which they are completed, including submission to insurers, require additional consideration.

Indexed as

Occupational InjuriesWorkers' CompensationHumansIndustryReproducibility of ResultsSurveys and QuestionnairesLagging metricsLeadingPredictorWorkers’ compensation

Identifiers

PMID35589299
PMCPMC9169506

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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.