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How To... Review Data Quality - Periodic Report PNSS Case Study
Summary Section

 
 More info on Periodic Report PNSS Case Study:
 Record Volume Update Section
 Summary Section
 Data Quality Section
   

The Summary is the second section of the PNSS Periodic Summary of Record Volume and Data Quality Report that lists the types of data quality problems identified in the report and the number of fields with each type of data quality problem for the file submission.


Sample Summary Section:
Record Volume Update/Data Quality

sample pnss table
view tableView Sample Summary Section, Periodic Summary of Record Volume and Data Quality
1 The Total % of Transaction Records Added to the Master File was 91.1% for this file submission.
2 Missing is used to measure the completeness of the data. The Total Number of Fields With Missing Data on more than 20% of records is 6 fields for this file submission.
3 Completion Code or Record Linkage Errors are errors that result in 1) incorrect or insufficient data for record type of complete, prenatal only, or postpartum only records or 2) duplicate field values on a record.

Two Completion Code or Record Linkage Errors are cited in this report. The first error is prenatal only records containing data in postpartum fields. The Total Number of Postpartum Fields Containing Data on more than 2% of Prenatal Only Records are 2 fields for this Current file submission. The second error is postpartum only records containing data in prenatal fields. The Total Number of Prenatal Fields Containing Data on more than 2% of Postpartum Only Records are 3 fields.

4 Mis-codes are unacceptable or invalid codes for a specific field. The Total Number of Clinic Codes Not on CDC's List of Clinic Codes with at least 10 records is 1 clinic for the current file submission. The Total Number of Fields Containing Zero as a Value When Zero is Never Valid are 2 fields.


Sample Summary Section:
Data Quality

sample pnss table

view tableView Sample Summary Section, Periodic Summary of Record Volume and Data Quality

5 BIV is a data value beyond what is considered to be in a biologically plausible range. For this current file submission, one field contained BIVs on more than 3% of records.
6 Cross-check errors are fields with coding inconsistencies between the fields. Only one field has Cross-check errors on more than 5% of records for this current file submission.
7 Unusual data distributions are fields that have data following a distribution pattern that is not typical based on observations of national PedNSS and PNSS data. There were no fields with No Acceptable Data Other Than Zeros. One field had Other Unusual Data Distributions.
8 Fields with Low or High Standard Deviations identify data with more or less variation than is expected in a population. One field was identified with a low or high standard deviation compared to a reference population.

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Page last reviewed: May 1, 2009
Page last updated: May 1, 2009
Content Source: Division of Nutrition, Physical Activity and Obesity, National Center for Chronic Disease Prevention and Health Promotion

 

 



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