Data Query System: Features
The NIDCR/CDC Data Query System (DQS) provides a simple-to-use interface that
allows a user to structure customized interactive queries for the following
oral health indicators:
|
Exam Indicators |
|
Self-Reported Indicators |
| Dental Caries
|
|
Dental Visits |
| Periodontal Assessment/Disease |
|
Self-Assessed Oral Health Status |
| Sealants |
|
Self-Perceived Dental Needs |
| Tooth Loss |
|
Dental Services |
| Trauma |
|
Dental Expense and Payment Source |
| Dentures |
|
Provider Type |
| |
|
Edentulism |
| |
|
Affordability of Dental Care |
| |
|
Tooth Loss Due to Disease |
| |
|
Preventive Care |
The DQS supports queries of several survey databases reporting national data on
oral health. Not all indicators are available from all surveys. The surveys
supported in the DQS include the following:
-
National Health and Nutrition Examination Survey (NHANES), 1988�94 (NHANES
III) and NHANES 1999�02;
-
Medical Expenditure Panel Survey (MEPS),
1996�07;
-
National Health Interview Survey (NHIS),
1997�08; and
-
Behavioral Risk Factor Surveillance System (BRFSS), 2002.
The DQS provides a step-by-step design that helps the user structure a data
query.
STEP 1: Select the oral health indicator
STEP 2: Select the survey data source
STEP 3: Select criteria for the indicator
STEP 4: Specify the independent variable(s)
STEP 5: Further stratify the data (optional)
Once the initial query is submitted, the DQS displays the parameters of the
query structure to allow the user to make any adjustments if necessary. Once
the user confirms the selections and submits the query, the DQS displays the
results.
Data tables present the sample size, weighted population estimates, results in
percentages or means (depending on the data being queried), and the 95%
confidence intervals. To insure statistical confidence and protect
confidentiality, data in table cells that are too small to produce reliable
population estimates are provided, but tagged with an asterisk (*). Users are
advised to use caution with these data.
Results can be displayed as graphics or downloaded to Microsoft Excel. Query
results and graphics can be printed to the user抯 printer.
After seeing the initial results, the user can further stratify an independent
variable in the initial query to produce two-way or three-way tables.
The upper and lower confidence limits are provided to the user to define the
statistical confidence range for each percentage or mean at the 95%
confidence level.The user is cautioned about comparing percentages or means and
concluding that differences exist without considering the confidence interval.
For example, although two percentages may appear to be different, such as 43.6%
and 47.2%, if their confidence intervals overlap the difference between the two
percentages are not actually statistically different. In this case, no
statement can be made suggesting that one percentage is significantly different
from the other.
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