2016-2022 prevalence rates for vision and eye health indicators are derived from Medicaid Analytic eXtract data. Estimates are stratified by age group, sex, and state from a convenience sample of Medicaid and CHIP claims. The dataset was produced by the CDC's Vision and Eye Health Surveillance System and last updated in May 2023.
Use Cases
- Analyze variation in Data_Value for specific Question across different Age and SexID groups.
- Map geographic disparities in vision health using Geolocation, StateAbbr, and Data_Value_Type.
- Investigate prevalence trends from 2016 to 2022 for indicators defined by TopicID and CategoryID.
- Compare High_Confidence_Limit and Data_Value_Footnote across different RaceEthnicity and Geographic Level strata.
Strengths
- Data spans 7 years from 2016 to 2022.
- Estimates are stratified by multiple demographic dimensions including Age, Sex, and State.
- Includes confidence intervals via the High_Confidence_Limit column.
Limitations
- Sample is a convenience subset of Medicaid/CHIP claims, not all states are included in all years.
- Row count and sample size per stratum are unknown, limiting assessment of statistical power.
- Data is based on claims processed up to 2019 for the 2014 year, indicating a significant processing lag.
Provenance
- Source
- Centers for Disease Control and Prevention (CDC) Vision and Eye Health Surveillance System (VEHSS).
- Collection Method
- Derived from de-identified person-level Medicaid Analytic eXtract (MAX) claims data.
- Time Range
- 2016-2022
- Freshness
- Last updated May 2023.
- Geography
- United States, state-level (LocationAbbr), though not all states are included in all years.