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Once the data has been collected at the medical center and
entered into the ACS NSQIP central server, the next step of the
process begins.

Validation, IRR Audits & Formatting
QCMetrix has developed a number of automated programs to
monitor the quality of incoming preoperative, intraoperative
and postoperative surgical data. These programs check first
to see if the data is complete and that all the required variables
have been captured and are in the appropriate format. The
second test verifies that all the data meet the ACS NSQIP’s
inclusion criteria. A third program looks for cases to exclude
based on characteristics that fall outside the accepted protocols.
Cases that fail any of the validation tests are sent back
to the participating hospital for correction.
QCMetrix also performs Inter-Rater Reliability (IRR) audits
to test for consistent case handling across the surgical clinical
nurse reviewers. Cases are pulled on a random basis and examined
using a methodology developed at the University of Colorado
Health Outcomes (COHO) Program.
Validated data is then scrubbed (e.g., duplicates and extraneous
characters are removed, field entries are set in consistent
formats, etc.) and prepared for import into sophisticated
SAS statistical analysis applications at the COHO.
O/E Ratios
The team at the COHO, led by Dr. William Henderson, analyzes
all the incoming data through a number of statistical models.
On an annual basis (and increasing in frequency), each participating
hospital receives a report showing its O/E ratios in relationship
to those of the other institutions in the system and providing
comparative workload and patient risk data.
An O/E ratio is a mathematical construct accurately showing
the risk-adjusted outcome for a specific site. The numerator,
‘O’, represents the total number of observed events,
postoperative occurrences (deaths or complications), and the
denominator, ‘E’, represents the number of events
that are expected on the basis of the compendium of the preoperative
risk factors prevalent in that population. An O/E ratio significantly less than
1 means that the site is performing better than expected,
while a ratio significantly greater than 1 indicates an excess of adverse outcomes.
Interpretation & Feedback
Once a site receives its annual O/E ratios, they normally
need help interpreting the data and planning a course of action.
QCMetrix has created a highly effective consulting practice
to provide further insight and analysis into the COHO reports
and help the medical center pinpoint specific areas for improvement.
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