Commercial Insurance Vision Health Prevalence by Age, Gender, and State

Truven Health Analytics produced a 2016 summary table of vision and eye health prevalence rates from the MarketScan Commercial Claims and Encounters Data. The dataset contains de-identified estimates stratified by age group, gender, and state, derived from 43.6 million person-years of employer-sponsored insurance claims. It was last updated in November 2019.

Use Cases

• Analyze prevalence rates of specific vision health indicators across different age group and gender combinations.
• Compare state-level variations in diagnosed prevalence for conditions like cataracts or glaucoma using stratified estimates.
• Model the relationship between demographic factors (age group, gender) and service utilization metrics like eye exam rates.

Strengths

• Derived from a substantial underlying claims database containing 43.6 million person-years of data.
• Provides stratified prevalence estimates across multiple demographic dimensions, including age group, gender, and state.
• Data is de-identified, facilitating analysis while protecting patient privacy.

Limitations

• The dataset is a summary table; the underlying raw claims data and specific column details are unavailable.
• Limited to a convenience sample of individuals with employer-sponsored insurance, excluding other populations.
• Data is from 2016 and was last updated in 2019, which may limit relevance for current trends.

Provenance

Source

Truven Health Analytics (IBM Watson Health), via U.S. Department of Health & Human Services.

Collection Method

Analysis of de-identified insurance claims from the MarketScan Commercial Claims and Encounters Data (CCAE).

Time Range

2016.

Freshness

Last updated November 2019.

Geography

United States, with state-level stratification.