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BENCHMARKING PUBLICATIONS
Employers frequently lack targeted industry information to help them design and implement competitive leave policies. To close this knowledge gap, IBI launched a survey initiative to benchmark employers’ leave policies.
Members can request a leave management benchmark report by emailing Joe Aller at jaller@ibiweb.org.
2021 Benchmarking Trends: Year-Over-Year Review
IBI’s Disability and Leave Benchmarking database is the nation’s largest dataset of claims from employer-sponsored short-term disability, long-term disability, federal family and medical leave, and workers’ compensation benefits programs.
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The Impact of Medication Adherence on Workplace Productivity Outcomes: Depression and Anxiety
In the last few years, the US workforce has seen a dramatic increase in symptoms of depression and anxiety. In 2021, two in five employed adults reported symptoms of anxiety or depression disorder – a four-fold increase from pre-pandemic levels.
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2020 Benchmarking Trends: 2019 Versus 2020 Book of Business Changes
IBI’s Disability and Leave Benchmarking database is the nation’s largest dataset of claims from employer-sponsored short-term disability, long-term disability, federal family and medical leave, and Workers’ Compensation benefits programs.
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2020 Benchmarking Trends: Short-Term and Long-Term Disability
IBI’s Disability and Leave Benchmarking database is the nation’s largest dataset of claims from employer-sponsored short-term disability, long-term disability, federal family and medical leave, and Workers’ Compensation benefits programs.
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IBI Benchmarking Analytics: How has COVID-19 changed disability and leave patterns?
To understand the broader impact of the pandemic on sick leave, we analyze the change in employers’ STD and FMLA leave experiences from January 1, 2020, through April 30, 2020, compared with their experiences over the same period in 2019.
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IBI Benchmarking Analytics: Short-Term Disability Incidence Rates Across Demographic Groups
Data contained in IBI's Disability and Leave Benchmarking system can describe claimants' age and sex. Such information can provide employers and their supplier partners with a context for understanding claimant populations but offer few insights about employees' differential risks for disability leaves.
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