Related Experiment Video
Updated: Dec 7, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Analyzing Workers' Compensation Claims and Payments Made Using Data from a Large Insurance Provider
Navneet Kaur Baidwan1, Nathan W Carroll1, Bunyamin Ozaydin1
1Department of Health Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Workers' Compensation (WC) payments vary significantly by claim severity and injury type. Workplace interventions should focus on both claim costs and injury frequency to reduce the overall financial burden.
Area of Science:
- Occupational health and safety
- Insurance analytics
- Economic impact of workplace injuries
Background:
- Workers' Compensation (WC) systems are established in all US states to address occupational safety and health.
- This study analyzes WC payment data from a major insurance provider spanning 2011-2018.
- Estimates of WC payments are stratified by claim severity, including medical-only and indemnity claims.
Purpose of the Study:
- To estimate Workers' Compensation (WC) payments.
- To analyze the association between injury characteristics and total WC payments.
- To determine the overall cost burden of workplace injuries.
Main Methods:
- Utilized data from a large insurance provider (2011-2018).
- Employed generalized estimating equations for statistical analysis.
- Analyzed key injury characteristics: nature, source, and body part injured.
Main Results:
- Out of 151,959 closed claims, 83% were medical-only.
- Mean WC payment was $1477 (SD: $7221) per claim with a payment.
- Amputations had the highest mean payment in medical-only claims; ruptures in disability/death claims. Strains represented the highest overall cost burden when frequency was considered.
Conclusions:
- Workplace interventions should target both average claim costs and injury frequency.
- Prioritizing interventions based on both cost and frequency can mitigate financial burdens.
Related Concept Videos
Compensation Mechanisms
Respiratory Compensation
This mechanism addresses metabolic-induced pH imbalances by adjusting breathing rates. Respiratory compensation begins within minutes of detecting a pH...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Statistical Analysis System (SAS)
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...

