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Screening for clinical laboratory errors with Medicare claims data: results for digoxin
J W Winkelman1, S T Mennemeyer
1University of Alabama, Birmingham 35294-2010, USA.
Summary
A statistical model identified clinical laboratories with high rates of adverse patient events after testing, suggesting potential errors. Stronger lab regulations and consistent testing sites were linked to better patient outcomes.
Area of Science:
- Clinical Chemistry
- Health Services Research
- Laboratory Medicine
Background:
- Clinical laboratory testing is crucial for patient care.
- Identifying laboratories with high rates of adverse events can indicate potential testing errors.
- Digoxin testing is a common diagnostic procedure with potential for adverse events if errors occur.
Purpose of the Study:
- To develop and demonstrate a statistical model for identifying outpatient clinical laboratories with high frequencies of adverse patient outcomes following digoxin testing.
- To investigate factors associated with adverse events, such as laboratory regulations, testing site, and testing volume.
Main Methods:
- Analysis of Medicare Part A and Part B claims data for 30,685 digoxin tests conducted between 1985 and 1987.
- Definition of "adverse events" as deaths or digoxin-related hospitalizations within 14 days of testing.
- Statistical modeling to assess the relationship between adverse events and laboratory characteristics.
Main Results:
- Approximately 3.3% of digoxin tests were followed by adverse events, with two-thirds leading to hospitalization or death.
- Adverse events were less frequent in states with stronger laboratory regulations.
- Adverse events were 15% higher when the testing site was switched.
- Adverse events were unrelated to testing volume in physician office laboratories or prior testing frequency.
Conclusions:
- The developed statistical model can identify clinical laboratories with potentially erroneous testing leading to adverse patient outcomes.
- Laboratory regulation stringency and testing site consistency are important factors in minimizing adverse events.
- Differences in findings compared to prothrombin testing suggest test-specific technical characteristics influence adverse event rates.