A Pragmatic Randomized Evaluation of a Nurse-Initiated Protocol to Improve Timeliness of Care in an Urban Emergency Department

Ann Emerg Med. 2016 Nov;68(5):546-552. doi: 10.1016/j.annemergmed.2016.06.019. Epub 2016 Jul 29.

Abstract

Study objective: Emergency department (ED) crowding is a common and complicated problem challenging EDs worldwide. Nurse-initiated protocols, diagnostics, or treatments implemented by nurses before patients are treated by a physician or nurse practitioner have been suggested as a potential strategy to improve patient flow.

Methods: This is a computer-randomized, pragmatic, controlled evaluation of 6 nurse-initiated protocols in a busy, crowded, inner-city ED. The primary outcomes included time to diagnostic test, time to treatment, time to consultation, or ED length of stay.

Results: Protocols decreased the median time to acetaminophen for patients presenting with pain or fever by 186 minutes (95% confidence interval [CI] 76 to 296 minutes) and the median time to troponin for patients presenting with suspected ischemic chest pain by 79 minutes (95% CI 21 to 179 minutes). Median ED length of stay was reduced by 224 minutes (95% CI -19 to 467 minutes) by implementing a suspected fractured hip protocol. A vaginal bleeding during pregnancy protocol reduced median ED length of stay by 232 minutes (95% CI 26 to 438 minutes).

Conclusion: Targeting specific patient groups with carefully written protocols can result in improved time to test or medication and, in some cases, reduce ED length of stay. A cooperative and collaborative interdisciplinary group is essential to success.

Publication types

  • Pragmatic Clinical Trial
  • Randomized Controlled Trial

MeSH terms

  • Acetaminophen / therapeutic use
  • Analgesics, Non-Narcotic / therapeutic use
  • Clinical Protocols
  • Emergency Nursing / methods
  • Emergency Nursing / organization & administration*
  • Emergency Service, Hospital / organization & administration*
  • Hospitals, Urban / organization & administration*
  • Humans
  • Length of Stay / statistics & numerical data
  • Male
  • Middle Aged
  • Time Factors
  • Waiting Lists

Substances

  • Analgesics, Non-Narcotic
  • Acetaminophen