NIOSH Center for Workers' Compensation Studies (CWCS)
Strategic Goal 1:
Intermediate Goal 1.1
Understand the uses and limitations of workers’ compensation systems for research and surveillance of work-related health conditions
- Inform NIOSH staff and public health partners on workers’ compensation systems and procedures. This includes training on administrative, institutional, and legal variations that affect claim filing and acceptance. Information may be provided through:
- development of a workers’ compensation primer
- study of successful state models and partnerships
- meetings on identified areas of need such as loss prevention
- insurance certification programs
- Develop a broad understanding of the workers’ compensation insurance market by
- documenting private insurers catering to specific industry sectors
- developing collaborations with commercial workers’ compensation insurance carriers
Intermediate Goal 1.2
Existing state-level workers’ compensation data are analyzed and the results are used to identify research and intervention priorities
- NIOSH, state departments of health, state workers’ compensation agencies, and workers’ compensation organizations such as NCCI and IAIABC will partner to:
- Identify state workers’ compensation programs with sufficiently robust data to characterize occupational conditions and costs associated with lost-time and medical only workers’ compensation cases over a period of years
- Conduct analyses of state level data for health conditions and costs to identify intervention priorities
- Develop state-level indicators for the burden of occupational injuries and illnesses using data from state workers’ compensation agencies
- Compare workers’ compensation record systems with other data reported by states on occupational injuries and illnesses to estimate total numbers and rates
- Develop ways of classifying injuries and illnesses that better correspond with the purposes of surveillance and research. For example, develop ways to use text fields in the first reports of injury or other fields to gain insight into the causes of injuries and illnesses.
- Understand the relationship between WC data and the BLS annual survey. Summarize the existing body of work and frame additional research based on the limitations and advantages of each.
- Measure the direct cost burden of occupational injury and illness as reflected through lost-time and medical only workers’ compensation claims.
- Understand and develop methods to link workers’ compensation data to state unemployment insurance data to estimate rates based on the number of employed workers.
Intermediate Goal 1.3
Integrate key workers’ compensation data with electronic medical record systems
Promote adoption of uniform coding standards and the recording of information useful for tracking in workers’ compensation record systems such as injury/illness nature, source, event, exposure, part of body, and detailed diagnoses (e.g. International Classification of Disease, ICD9-10), use of personal protective equipment, incident description, injured worker gender, hire date, occupation, age, and number of dependents.
For example, there are already data elements for part of body, nature of injury, and cause of Injury, shared by both IAIABC for FROI/SROI, and WCIO for unit statistical reporting in a large number of states. Unit statistical data is the audited exposure, premium, and loss information for a workers’ compensation policy.
- Encourage continued use of accepted health information technology standards to interface electronic workers’ compensation medical records and personal electronic health records with appropriate restrictions to protect the patient’s non-work-related medical information
For example, there is already a strong use of standards in medical data. When NCCI developed their Medical Data Call, they relied on national medical coding standards already established, such as: HIPAA (Health Insurance Portability and Accountability Act), and Current Procedural Terminology (CPT) codes set by the American Medical Association (AMA).
Strategic Goal 2:
Intermediate Goal 2.1
Characterize occupational injury and illness risk, severity, and cost using workers’ compensation data across states, industries, size of employers, and occupations
- Characterize risks for occupational injuries and illnesses across risk classifications, industries and occupations by utilizing the workers’ compensation claims data, loss prevention records, and related program information. This includes identifying workers’ compensation data sets with sufficient data quality to characterize risk. Key resources may include:
- first and subsequent reports of injury
- transactional claims history
- medical treatments and guidelines
- administrative processes
- litigation reports
- benefit payments and lost-time duration
- Link workers’ compensation data with group medical (non-workers’ compensation health insurance) and other data. This linkage is important to investigate occupational condition cost-shifting between workers’ compensation and group health plans.
- Evaluate the relationships among workers’ compensation costs and other economic factors and those of other health and social insurance programs that result from occupational injuries, illnesses and fatalities
- Conduct intervention research and activities to address identified occupational conditions or hazards
Continue to develop and test crosswalks between insurance industry and public health coding systems for industry and occupation [e.g. NCCI manual classes versus North American Industry Classification System (NAICS) and Standard Occupational Classification (SOC)], and for injury and illness nature, event or exposure, source, and part of body
For example, the International Risk Management Institute (IRMI) has a crosswalk that cross references workers’ compensation class codes (NCCI and the independent bureaus) with NAICS and general liability class codes.
Intermediate Goal 2.2
Identify employer, carrier, and state policies, programs and characteristics that significantly impact injury and illness rates and costs among workers
- Evaluate the factors (such as employer size, geographical location, etc.) associated with higher workers’ compensation claim frequency and severity within industries and states
- Evaluate leading indicators associated with lower workers’ compensation claim frequency and severity to identify evidence-based safety and health programs, practices, and policies for:
- management commitment
- employee participation
- management/labor health and safety committees
- hazard identification and communication
- hazard elimination and control through prevention through design, engineering, administrative, work practice, and personal protective equipment (PPE) approaches
- program evaluation
- early symptom reporting
- return-to-work programs
- job accommodation and light duty jobs
- Evaluate the effects of individual state mandates and policies for workers’ compensation programs on occupational injuries and illnesses including:
- health and safety program requirements
- large/ small deductible policies
- experience rating, retrospective rating, and schedule rating
- group and individual discounts
- safety grants (to support engineering controls and other prevention activities at insured employers)
- owner and contractor controlled policies
- loss prevention services
- Encourage development of best practices for case-management and return-to-work programs
- Partner with insurers and states to develop a research framework agenda for predictors of disability duration and evaluate the effectiveness of return-to-work programs
- Encourage insurers and employers to analyze their data and use findings to develop best practices for primary, secondary, and tertiary injury and disability prevention
- Encourage examination of underreporting of claims by employees and employers
- Evaluate the effect of contingent worker arrangements (part-time, temporary, or contract workers) and professional employer organizations on the frequency and severity of employer workers’ compensation rates
- Page last reviewed: September 16, 2013
- Page last updated: November 7, 2017
- Content source:
- National Institute for Occupational Safety and Health Division of Surveillance, Hazard Evaluations and Field Studies