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Optimization of Nursing-Specific Flu Alerts.

Publication ,  Journal Article
Cieslowski, B; Brock, L; Richesson, RL; Silva, S; Kim, H
Published in: Computers, informatics, nursing : CIN
March 2020

Clinical decision support interventions, such as alerts and reminders, can improve clinician compliance with practice guidelines and patient outcomes. Alerts that trigger at inappropriate times are often dismissed by clinicians, reducing desired actions rather than increasing them. A set of nursing-specific alerts related to influenza screening and vaccination were optimized so that they would "trigger" less often but function adequately to maintain institutional flu vaccination compliance. We analyzed the current triggering criteria for six flu vaccine-related alerts and asked nurse end users for suggestions to increase specificity. Using the "five rights" (of clinical decision support) as a framework, alerts were redesigned to address user needs. New alerts were tested and implemented and their activity compared in two different flu seasons, preoptimization and postoptimization. The redesigned alerts resulted in fewer alerts per encounter (P < .0001), less dismissals of alerts (P < .0001), and a 2.8% point improvement in compliance rates for flu vaccine screening, documentation, and administration. A focus group confirmed that the redesign improved workflow, but some nurses thought they still triggered too often. The five rights model can support improvements in alert design and outcomes.

Duke Scholars

Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

March 2020

Volume

38

Issue

9

Start / End Page

433 / 440

Related Subject Headings

  • Vaccination
  • Nursing
  • Models, Theoretical
  • Influenza, Human
  • Humans
  • Focus Groups
  • Documentation
  • Decision Support Systems, Clinical
  • 4205 Nursing
  • 4203 Health services and systems
 

Citation

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Cieslowski, B., Brock, L., Richesson, R. L., Silva, S., & Kim, H. (2020). Optimization of Nursing-Specific Flu Alerts. Computers, Informatics, Nursing : CIN, 38(9), 433–440. https://doi.org/10.1097/cin.0000000000000616
Cieslowski, Bethany, Laurie Brock, Rachel L. Richesson, Susan Silva, and Hyeoneui Kim. “Optimization of Nursing-Specific Flu Alerts.Computers, Informatics, Nursing : CIN 38, no. 9 (March 2020): 433–40. https://doi.org/10.1097/cin.0000000000000616.
Cieslowski B, Brock L, Richesson RL, Silva S, Kim H. Optimization of Nursing-Specific Flu Alerts. Computers, informatics, nursing : CIN. 2020 Mar;38(9):433–40.
Cieslowski, Bethany, et al. “Optimization of Nursing-Specific Flu Alerts.Computers, Informatics, Nursing : CIN, vol. 38, no. 9, Mar. 2020, pp. 433–40. Epmc, doi:10.1097/cin.0000000000000616.
Cieslowski B, Brock L, Richesson RL, Silva S, Kim H. Optimization of Nursing-Specific Flu Alerts. Computers, informatics, nursing : CIN. 2020 Mar;38(9):433–440.

Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

March 2020

Volume

38

Issue

9

Start / End Page

433 / 440

Related Subject Headings

  • Vaccination
  • Nursing
  • Models, Theoretical
  • Influenza, Human
  • Humans
  • Focus Groups
  • Documentation
  • Decision Support Systems, Clinical
  • 4205 Nursing
  • 4203 Health services and systems