National Health Interview Survey (NHIS) – Vision And Eye Health Surveillance
U.S. Department of Health & Human Services
@usgov.hhs_gov_national_health_interview_survey_nhis_vision_a_4bcbda94
U.S. Department of Health & Human Services
@usgov.hhs_gov_national_health_interview_survey_nhis_vision_a_4bcbda94
2014-15 merged, 2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from NHIS, stratified by all available combinations of age group, race/ethnicity, gender, and risk factor. NHIS is an annual household survey conducted by the National Center for Health Statistics at CDC that monitors trends in illness, disabilities, and progress towards national health objectives. Approximate sample size is 35,000 households and 87,500 persons annually. NHIS data for VEHSS includes questions related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS NHIS analyses can be found on the VEHSS NHIS webpage (link). Additional information about NHIS can be found on the NHIS website (http://www.cdc.gov/nchs/nhis/about_nhis.htm). The VEHSS NHIS dataset was last updated in November 2019.
Organization: U.S. Department of Health & Human Services
Last updated: 2020-12-10T22:17:54.321956
Tags: blind, contact-lenses, glasses, nhis, vision-correction, visual-function
CREATE TABLE table_1 (
"yearstart" BIGINT,
"yearend" BIGINT,
"locationabbr" VARCHAR,
"locationdesc" VARCHAR,
"datasource" VARCHAR,
"topic" VARCHAR,
"category" VARCHAR,
"question" VARCHAR,
"response" VARCHAR,
"age" VARCHAR,
"sex" VARCHAR,
"raceethnicity" VARCHAR,
"riskfactor" VARCHAR,
"riskfactorresponse" VARCHAR,
"data_value_unit" VARCHAR,
"data_value_type" VARCHAR,
"data_value" DOUBLE,
"data_value_footnote_symbol" VARCHAR,
"data_value_footnote" VARCHAR,
"low_confidence_limit" DOUBLE,
"high_confidence_limit" DOUBLE,
"numerator" VARCHAR,
"sample_size" DOUBLE,
"locationid" BIGINT,
"topicid" VARCHAR,
"categoryid" VARCHAR,
"questionid" VARCHAR,
"responseid" VARCHAR,
"datavaluetypeid" VARCHAR,
"ageid" VARCHAR,
"sexid" VARCHAR,
"raceethnicityid" VARCHAR,
"riskfactorid" VARCHAR,
"riskfactorresponseid" VARCHAR,
"geolocation" VARCHAR,
"geographic_level" VARCHAR,
"stateabbreviation" VARCHAR
);Anyone who has the link will be able to view this.