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Reducing indwelling urinary catheter use through staged introduction of electronic clinical decision support in a multicenter hospital system

  • Brett E. Youngerman (a1), Hojjat Salmasian (a2), Eileen J. Carter (a3) (a4), Michael L. Loftus (a5), Rimma Perotte (a6) (a7), Barbara G. Ross (a8), E. Yoko Furuya (a8), Robert A. Green (a9) (a10) and David K. Vawdrey (a6) (a7)...

Abstract

Objective

To integrate electronic clinical decision support tools into clinical practice and to evaluate the impact on indwelling urinary catheter (IUC) use and catheter-associated urinary tract infections (CAUTIs).

Design, Setting, and Participants

This 4-phase observational study included all inpatients at a multicampus, academic medical center between 2011 and 2015.

Interventions

Phase 1 comprised best practices training and standardization of electronic documentation. Phase 2 comprised real-time electronic tracking of IUC duration. In phase 3, a triggered alert reminded clinicians of IUC duration. In phase 4, a new IUC order (1) introduced automated order expiration and (2) required consideration of alternatives and selection of an appropriate indication.

Results

Overall, 2,121 CAUTIs, 179,070 new catheters, 643,055 catheter days, and 2,186 reinsertions occurred in 3·85 million hospitalized patient days during the study period. The CAUTI rate per 10,000 patient days decreased incrementally in each phase from 9·06 in phase 1 to 1·65 in phase 4 (relative risk [RR], 0·182; 95% confidence interval [CI], 0·153–0·216; P<·001). New catheters per 1,000 patient days declined from 53·4 in phase 1 to 39·5 in phase 4 (RR, 0·740; 95% CI, 0·730; P<·001), and catheter days per 1,000 patient days decreased from 194·5 in phase 1 to 140·7 in phase 4 (RR, 0·723; 95% CI, 0·719–0·728; P<·001). The reinsertion rate declined from 3·66% in phase 1 to 3·25% in phase 4 (RR, 0·894; 95% CI, 0·834–0·959; P=·0017).

Conclusions

The phased introduction of decision support tools was associated with progressive declines in new catheters, total catheter days, and CAUTIs. Clinical decision support tools offer a viable and scalable intervention to target hospital-wide IUC use and hold promise for other quality improvement initiatives.

Copyright

Corresponding author

Author for correspondence: Brett E. Youngerman, Department of Neurological Surgery, Columbia University Medical Center, 710 West 168 Street, New York, NY, 10032. E-mail: bey2103@cumc.columbia.edu

References

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