43.6 million person-years of de-identified commercial claims data underpin this summary of vision health prevalence rates. The dataset, produced by Truven Health Analytics (IBM Watson Health), provides stratified estimates from 2016, 2020, 2021, 2022, and 2023. It was last updated by the CDC's Vision and Eye Health Surveillance System in 2025.
Use Cases
- Analyze trends in Data_Value (prevalence rate) by Age group and Sex across different YearStart periods.
- Compare prevalence estimates for specific RiskFactor or Question categories between different LocationDesc (states).
- Assess estimate precision using the High_Confidence_Limit and Low_Confidence_Limit columns for stratified subgroups.
- Calculate weighted averages or model prevalence using the provided Sample_Size and Numerator columns.
Strengths
- Based on a large underlying claims database of 43.6 million person-years.
- Provides stratified estimates by Age, Sex, and state (LocationDesc).
- Includes confidence intervals (High_Confidence_Limit, Low_Confidence_Limit) for prevalence estimates.
Limitations
- Limited to individuals with employer-sponsored commercial insurance, excluding other populations.
- Data points are from non-consecutive years (2016, 2020-2023), creating gaps in continuous trend analysis.
- Sample sizes (Sample_Size column) for specific demographic-state combinations may be small, affecting estimate reliability.
Provenance
- Source
- Truven Health Analytics (IBM Watson Health) MarketScan Commercial Claims and Encounters Data.
- Collection Method
- De-identified summary of insurance claims from a convenience sample of employer-sponsored plans.
- Time Range
- 2016, 2020, 2021, 2022, 2023.
- Freshness
- Contains data through 2023, with a dataset update noted in 2025.
- Geography
- United States, stratified by state (LocationDesc).