Literature DB >> 31566800

The relationship between time to analgesic administration and emergency department length of stay: A retrospective review.

James A Hughes1,2, Nathan J Brown1,3, Jacqui Chiu3, Brandon Allwood1, Kevin Chu1,3.   

Abstract

AIM: To determine the association between time to first analgesic medication and emergency department length of stay (ED LOS).
DESIGN: Retrospective cohort study.
METHOD: We conducted this study in a large, inner-city emergency department and included adult patients who presented with pain as a symptom and received analgesic medication(s). Study participants were identified from a random selection of 2,000 adult patients who presented between August-October 2018. The relationship between ED LOS and time to first analgesic medication was described using bivariate and multivariate linear regression.
RESULTS: Of the 2,000 randomly selected patients presenting between August and October 2018, 727 (36.35%) had pain as a symptom on arrival, 423 (21.15%) had analgesic medication administered. The median time to first analgesic medication was in 62 (interquartile range: 36-105) minutes and median ED LOS was 218 (interquartile range: 160-317.5) minutes. After adjusting for the effects of sex, urgency of the presentation, emergency department location first seen by clinician, departure destination and workload metrics (average daily time to be seen and daily access block). Time to first analgesic medication was independently associated with ED LOS, contributing to 6.96% of the variance in the multivariate model.
CONCLUSION: Providing analgesic medication faster to patients presenting in pain, in addition to previously demonstrated positive patient outcomes, may decrease their ED LOS. IMPACT: Reducing ED LOS through faster pain care, benefits the patient through faster pain relief and can benefit the department by reducing the total amount of care delivered in the emergency department. Reducing total care delivery frees up resources to improve the care to all emergency department patients.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  analgesia; emergency department; health services research; linear regression; multivariate modelling; nursing care; pain

Year:  2019        PMID: 31566800     DOI: 10.1111/jan.14216

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  1 in total

1.  Comparing the Ability and Accuracy of mSOFA, qSOFA, and qSOFA-65 in Predicting the Status of Nontraumatic Patients Referred to a Hospital Emergency Department: A Prospective Study.

Authors:  Abbasali Ebrahimian; Seyyed-Mohammad-Taghi Shahcheragh; Ali Fakhr-Movahedi
Journal:  Indian J Crit Care Med       Date:  2020-11
  1 in total

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