Data accuracy is a critical attribute for any surveillance system. Inaccurate data can lead to faulty analyses, erroneous interpretations, and ineffective public health actions. Data accuracy is especially important with respect to mandatory reporting of healthcare associated infections (HAI), since the data are publicly disclosed. In 2007,
Objective: To describe the Data Integrity Validation report and how it is being implemented in
Methods: A DIV report is run monthly by PADOH for each acute care facility reporting HAIs to NHSN. The report analyzes data submitted by each facility from two months earlier and contains two sections – a programmatic portion and an epidemiological analysis portion. PADOH-developed data analysis programs determine the usual patterns of monthly submissions from each facility and automatically flag significant deviations from these patterns. Such deviations potentially include significant changes (increases or decreases) in the total number and types of infections reported, the number of procedures done at the facility, or the number of device days reported. Each reported HAI is also scrutinized for data omissions or possible errors. Besides missing data elements, a report could include errors such as formatting mistakes or invalid or questionable responses. Examples of the latter include a device-associated infection but no associated device days or, zero patient-day for an infection. An overall report with all questionable findings is provided to the facility, which has 30 days to investigate the information and make necessary corrections in NHSN. At the end of the 30-day period, the data are locked-down for purposes of analysis.
Results: The first DIV report covered the period July-October 2008, and was distributed in December 2008. Thereafter, monthly DIV reports began to be generated. Early DIV reports contained large numbers of questionable results per institution. Over time, the number of questionable findings per institution has declined substantially.
Conclusions: The DIV process has resulted in improvements in the accuracy of