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Table 1.108
Rate antibiotics prescribed at visits with a diagnosis of common cold per 10,000 population,a United States, 2000-2001 and 2004-2005
Population group 2004-2005c 2000-2001d
Rate Standard error Rate Standard error
Total   137 20 183 22
Age 0-17 227 37 334 45
18-44 110 26 152 30
45-64 106 24 96 24
65 and over 96 34 DSU DSU
Gender Male 130 24 183 24
Female 144 26 184 27
Raceb White only 138 21 195 25
Black only DSU DSU 156 34
Asian only DSU DSU DSU DSU
Multiple races DSU DSU DSU DSU
Location MSA 129 22 197 26
Non-MSA 180 53 135 35

a Number of antibiotic courses ordered, supplied, administered, or continued at a specific visit for persons diagnosed with the common cold (ICD-9-CM codes 460.0, 465, or 472.0) per 10,000 population.

b The 2000-2001 data for Asian are Asian and Pacific Islander collected in aggregate.

c Estimates of the civilian noninstitutionalized population used in calculating visit rates by age, sex, race, and geographic region are from special tabulations developed by the Population Division, U.S. Census Bureau, using the July 1, 2004, and July 1, 2005, set of State population estimates and reflect Census 2000 data.

d Year 2000 rates use U.S. Census Bureau monthly postcensal estimates of the civilian noninstitutional population as of July 1, 2000, and are available at the Census Bureau Internet site: Figures have been adjusted for net underenumeration using the 1990 National Population Adjustment Matrix. Regional estimates were provided by the Division of Health Interview Statistics (DHIS), National Center for Health Statistics, and are also based on U.S. census estimates of the civilian noninstitutionalized population as of July 1, 2000.

DSU - Data do not meet the criteria for statistical reliability, data quality, or confidentiality. An estimate is unreliable if the unweighted number is less than 30 or the relative standard error is greater than 30.

Key: AI/AN: American Indian or Alaska Native; MSA: metropolitan statistical area.

Source: Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey.


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