OBJECTIVES: The objective was to examine the effectiveness of triage nurse ordering (TNO) on mitigating the effect of emergency department (ED) overcrowding. METHODS: Electronic databases (Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, CINAHL, SCOPUS, Web of Science, HealthSTAR, Dissertation Abstracts, ABI/INFORM Global), controlled trial registry websites, conference proceedings, study references, experts in the field, and correspondence with authors were used to identify potentially relevant studies. Interventional studies in which TNO was used to influence ED overcrowding metrics (length of stay [LOS] and physician initial assessment [PIA]) were included in the review. Two reviewers independently assessed study eligibility and methodologic quality. Mean differences were calculated and reported with corresponding 95% confidence intervals (CIs). RESULTS: From more than 14,000 potentially relevant studies, 14 were included in the systematic review. Most were single-center ED studies; the overall quality was rated as weak, due to methodologic deficiencies and variable outcome reporting. TNO was associated with a 37-minute mean reduction (95% CI = -44.10 to -30.30 minutes) in the overall ED LOS in one randomized clinical trial (RCT); a 51-minute mean reduction (95% CI = -56.3 to -45.5 minutes) was observed in non-RCTs. When applied to injured subjects with suspected fractures, TNO interventions reduced ED LOS by 20 minutes (95% CI = -37.5 to -1.9 minutes) in three RCTs and by 18 minutes (95% CI = -23.2 to -13.2) in two non-RCTs. No significant reduction in PIA was observed in two RCTs. CONCLUSIONS: Overall, TNO appears to be an effective intervention to reduce ED LOS, especially in injury and/or suspected fracture cases. The available evidence is limited by small numbers of studies, weak methodologic quality, and incomplete reporting. Future studies should focus on a better description of the contextual factors surrounding these interventions and exploring the impact of TNO on other indicators of productivity and satisfaction with health care delivery.
OBJECTIVES: The objective was to examine the effectiveness of triage nurse ordering (TNO) on mitigating the effect of emergency department (ED) overcrowding. METHODS: Electronic databases (Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, CINAHL, SCOPUS, Web of Science, HealthSTAR, Dissertation Abstracts, ABI/INFORM Global), controlled trial registry websites, conference proceedings, study references, experts in the field, and correspondence with authors were used to identify potentially relevant studies. Interventional studies in which TNO was used to influence ED overcrowding metrics (length of stay [LOS] and physician initial assessment [PIA]) were included in the review. Two reviewers independently assessed study eligibility and methodologic quality. Mean differences were calculated and reported with corresponding 95% confidence intervals (CIs). RESULTS: From more than 14,000 potentially relevant studies, 14 were included in the systematic review. Most were single-center ED studies; the overall quality was rated as weak, due to methodologic deficiencies and variable outcome reporting. TNO was associated with a 37-minute mean reduction (95% CI = -44.10 to -30.30 minutes) in the overall ED LOS in one randomized clinical trial (RCT); a 51-minute mean reduction (95% CI = -56.3 to -45.5 minutes) was observed in non-RCTs. When applied to injured subjects with suspected fractures, TNO interventions reduced ED LOS by 20 minutes (95% CI = -37.5 to -1.9 minutes) in three RCTs and by 18 minutes (95% CI = -23.2 to -13.2) in two non-RCTs. No significant reduction in PIA was observed in two RCTs. CONCLUSIONS: Overall, TNO appears to be an effective intervention to reduce ED LOS, especially in injury and/or suspected fracture cases. The available evidence is limited by small numbers of studies, weak methodologic quality, and incomplete reporting. Future studies should focus on a better description of the contextual factors surrounding these interventions and exploring the impact of TNO on other indicators of productivity and satisfaction with health care delivery.
Authors: Brian J Franklin; Kathleen Y Li; David M Somand; Keith E Kocher; Steven L Kronick; Vikas I Parekh; Eric Goralnick; A Tyler Nix; Nathan L Haas Journal: J Am Coll Emerg Physicians Open Date: 2021-05-24
Authors: Maya M Jeyaraman; Leslie Copstein; Nameer Al-Yousif; Rachel N Alder; Scott W Kirkland; Yahya Al-Yousif; Roger Suss; Ryan Zarychanski; Malcolm B Doupe; Simon Berthelot; Jean Mireault; Patrick Tardif; Nicole Askin; Tamara Buchel; Rasheda Rabbani; Thomas Beaudry; Melissa Hartwell; Carolyn Shimmin; Jeanette Edwards; Gayle Halas; William Sevcik; Andrea C Tricco; Alecs Chochinov; Brian H Rowe; Ahmed M Abou-Setta Journal: BMJ Open Date: 2021-05-10 Impact factor: 2.692
Authors: Lorcan Clarke; Michael Anderson; Rob Anderson; Morten Bonde Klausen; Rebecca Forman; Jenna Kerns; Adrian Rabe; Søren Rud Kristensen; Pavlos Theodorakis; Jose Valderas; Hans Kluge; Elias Mossialos Journal: Milbank Q Date: 2021-09-02 Impact factor: 4.911