Evaluating the Accuracy of Sampling Strategies for Estimation of Compliance Rate for Ventilator-Associated Pneumonia Process Measures

Adam Diehl, Ting Yang, Kathleen Speck, James Battles, Sara E. Cosgrove, Sean Berenholtz, Michael Klompas

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND Measuring processes of care performance rates is an invaluable tool for quality improvement; however, collecting daily process measure data is time-consuming and burdensome. OBJECTIVE To evaluate the accuracy of sampling strategies to estimate monthly compliance rates with ventilator-associated pneumonia prevention measures. SETTING AND PARTICIPANTS A total of 37 intensive care units affiliated with 29 hospitals participating in a 2-state 35-month ventilator-associated pneumonia prevention collaborative. Analysis was limited to 325 unit-months with complete data entry rates. METHODS We calculated unit-month level actual and sample monthly compliance rates for 6 ventilator-associated pneumonia prevention measures, using 4 sampling strategies: sample 1 day per month, sample 1 day per week, sample 7 consecutive days per month, and sample 7 consecutive days per month plus additional consecutive days as necessary to obtain at least 30 ventilator-days for that month whenever possible. We compared sample versus actual rates using paired t test and χ2 test. RESULTS Mean sampling accuracy ranged 84%-97% for 1 day per month, 91%-98% for 1 day per week, 92%-98% for 7 consecutive days per month, and 96%-99% for 7 consecutive days with at least 30 days per month if possible. The most accurate sampling strategy was to sample 7 consecutive days with at least 30 ventilator-days per month if possible. With this strategy, sample rates were within 10% of actual rates in 88%-99% of unit-months and within 5% of actual rates in 74%-97% of unit-months. CONCLUSION Sampling process measures intermittently rather than continually can yield accurate estimates of process measure performance rates.

Original languageEnglish (US)
Pages (from-to)1037-1043
Number of pages7
JournalInfection control and hospital epidemiology
Volume37
Issue number9
DOIs
StatePublished - Sep 1 2016

ASJC Scopus subject areas

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

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