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1.
J Safety Res ; 81: 283-296, 2022 06.
Artículo en Inglés | MEDLINE | ID: mdl-35589299

RESUMEN

INTRODUCTION: Managing 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. METHOD: Employer 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. RESULTS: One 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. CONCLUSIONS: This 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.


Asunto(s)
Traumatismos Ocupacionales , Indemnización para Trabajadores , Humanos , Industrias , Traumatismos Ocupacionales/prevención & control , Reproducibilidad de los Resultados , Encuestas y Cuestionarios
2.
J Occup Environ Med ; 64(7): 562-572, 2022 07 01.
Artículo en Inglés | MEDLINE | ID: mdl-35121689

RESUMEN

OBJECTIVE: This study evaluated the impact of a state workers' compensation (WC) insurer's onsite risk control (RC) services on insured employers' WC claim frequency and cost. METHODS: We used two methods to model 2004 to 2017 claims data from 4606 employers that received RC visits over time and compare this claims experience to matching employers that did not receive RC services. RESULTS: Relative total WC claim rates increased slightly after RC services, while relative lost-time claims rates either remained similar or decreased and WC cost rates decreased. The impact of RC services on reducing WC costs was cumulative up to the fourth visit but diminished thereafter. CONCLUSIONS: The insurer RC consultation program was effective in reducing WC cost rates for serviced employers. This is consistent with other research conducted on insurer RC services and related regulatory visits.


Asunto(s)
Aseguradoras , Indemnización para Trabajadores , Humanos
3.
J Safety Res ; 66: 141-150, 2018 09.
Artículo en Inglés | MEDLINE | ID: mdl-30121100

RESUMEN

INTRODUCTION: Workers' compensation (WC) insurers offer services and programs for prospective client selection and insured client risk control (RC) purposes. Toward these aims, insurers collect employer data that may include information on types of hazards present in the workplace, safety and health programs and controls in place to prevent injury/illness, and return-to-work programs to reduce injury/illness severity. Despite the potential impact of RC systems on workplace safety and health and the use of RC data in guiding prevention efforts, few research studies on the types of RC services provided to employers or the RC data collected have been published in the peer-reviewed literature. METHODS: Researchers conducted voluntary interviews with nine private and state-fund WC insurers to collect qualitative information on RC data and systems. RESULTS: Insurers provided information describing their RC data, tools, and practices. Unique practices as well as similarities including those related to RC services, policyholder goals, and databases were identified. CONCLUSIONS: Insurers collect and store extensive RC data, which have utility for public health research for improving workplace safety and health. PRACTICAL APPLICATIONS: Increased public health understanding of RC data and systems and an identification of key collaboration opportunities between insurers and researchers will facilitate increased use of RC data for public health purposes.


Asunto(s)
Aseguradoras/estadística & datos numéricos , Seguro por Accidentes/estadística & datos numéricos , Salud Pública , Indemnización para Trabajadores/estadística & datos numéricos , Humanos , Estados Unidos
4.
J Occup Environ Hyg ; 15(9): 676-685, 2018 09.
Artículo en Inglés | MEDLINE | ID: mdl-29985777

RESUMEN

Workers' compensation (WC) insurers collect large amounts of industrial hygiene (IH) data in the United States. The data collected is not easily accessible for research or surveillance purposes. Individual WC insurers are using computerized systems to standardize and store the IH data, leaving a gap in standardization among the different WC insurers. This study sought to standardize IH data collection among WC insurers and to determine the feasibility of pooling collected IH data. IH air and noise survey forms were collected from WC insurers. Data fields on the forms were evaluated for importance and a study list of core fields was developed. The core study list was presented to an IH review panel for review before finalization. The final core study list was compared to recommendations published by the American Conference of Governmental Industrial Hygienists (ACGIH) and the American Industrial Hygiene Association (AIHA). Fifty-nine forms from 10 organizations were collected. Industrial hygienists from research organizations, state-based WC insurers, and private WC insurers participated in the data field evaluation and on the review panel. For both air and noise survey forms, more than half the data fields (55% and 54%, respectively) were ranked as "essential." Three of the four fields in the worker and control observations category ranked "essential" were found less than half of the time on both types of survey forms. The study list of core data elements consisted of more than half of the data fields from both the air and noise survey forms. Three additional fields were added based on the comparison to the ACGIH-AIHA recommendations. Data fields essential to standardizing IH data collection were identified and verified. The "essential" data fields will be made available and have the potential to be incorporated into WC insurers electronic IH data management systems. Future research should focus on other IH survey forms, such as those used in ergonomic assessments and specific chemical exposures, and methods to transfer data fields to electronic platforms.


Asunto(s)
Recolección de Datos/métodos , Exposición Profesional/estadística & datos numéricos , Salud Laboral/estadística & datos numéricos , Contaminantes Ocupacionales del Aire/análisis , Humanos , Aseguradoras , Ruido en el Ambiente de Trabajo/estadística & datos numéricos , Estados Unidos , Indemnización para Trabajadores
5.
J Occup Environ Hyg ; 15(6): 502-509, 2018 06.
Artículo en Inglés | MEDLINE | ID: mdl-29580189

RESUMEN

Despite substantial financial and personnel resources being devoted to occupational exposure monitoring (OEM) by employers, workers' compensation insurers, and other organizations, the United States (U.S.) lacks comprehensive occupational exposure databases to use for research and surveillance activities. OEM data are necessary for determining the levels of workers' exposures; compliance with regulations; developing control measures; establishing worker exposure profiles; and improving preventive and responsive exposure surveillance and policy efforts. Workers' compensation insurers as a group may have particular potential for understanding exposures in various industries, especially among small employers. This is the first study to determine how selected state-based and private workers' compensation insurers collect, store, and use OEM data related specifically to air and noise sampling. Of 50 insurers contacted to participate in this study, 28 completed an online survey. All of the responding private and the majority of state-based insurers offered industrial hygiene (IH) services to policyholders and employed 1 to 3 certified industrial hygienists on average. Many, but not all, insurers used standardized forms for data collection, but the data were not commonly stored in centralized databases. Data were most often used to provide recommendations for improvement to policyholders. Although not representative of all insurers, the survey was completed by insurers that cover a substantial number of employers and workers. The 20 participating state-based insurers on average provided 48% of the workers' compensation insurance benefits in their respective states or provinces. These results provide insight into potential next steps for improving the access to and usability of existing data as well as ways researchers can help organizations improve data collection strategies. This effort represents an opportunity for collaboration among insurers, researchers, and others that can help insurers and employers while advancing the exposure assessment field in the U.S.


Asunto(s)
Recolección de Datos/métodos , Aseguradoras/estadística & datos numéricos , Exposición Profesional/estadística & datos numéricos , Indemnización para Trabajadores/estadística & datos numéricos , Recolección de Datos/estadística & datos numéricos , Humanos , Salud Laboral , Estados Unidos
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