Institution of an emergency department "swarming" care model and sepsis door-to-antibiotic time: A quasi-experimental retrospective analysis

Ithan D Peltan, Joseph R Bledsoe, David Brems, Sierra McLean, Emily Murnin, Samuel M Brown, Ithan D Peltan, Joseph R Bledsoe, David Brems, Sierra McLean, Emily Murnin, Samuel M Brown

Abstract

Background: Prompt sepsis treatment is associated with improved outcomes but requires a complex series of actions by multiple clinicians. We investigated whether simply reorganizing emergency department (ED) care to expedite patients' initial evaluation was associated with shorter sepsis door-to-antibiotic times.

Methods: Patients eligible for this retrospective study received IV antibiotics and demonstrated acute organ failure after presenting to one of three EDs in Utah. On May 1, 2016, the intervention ED instituted "swarming" as the default model for initial evaluation of all mid- and low-acuity patients. Swarming involved simultaneous patient evaluation by the ED physician, nurse, and technician followed by a team discussion of the initial care plan. Care was unchanged at the two control EDs. A 30-day wash-in period separated the baseline (May 16, 2015 to April 15, 2016) and post-intervention (May 16, 2016 to November 15, 2016) analysis periods. We conducted a quasi-experimental analysis comparing door-to-antibiotic time for sepsis patients at the intervention ED after versus before care reorganization, applying difference-in-differences methods to control for trends in door-to-antibiotic time unrelated to the studied intervention and multivariable regression to adjust for patient characteristics.

Results: The analysis included 3,230 ED sepsis patients, including 1,406 from the intervention ED. Adjusted analyses using difference-in-differences methods to control for temporal trends unrelated to the studied intervention revealed no significant change in door-to-antibiotic time after care reorganization (-7 minutes, 95% CI -20 to 6 minutes, p = 0.29). Multivariable pre/post analyses using data only from the intervention ED overestimated the magnitude and statistical significance of outcome changes associated with ED care reorganization.

Conclusions: Implementation of an ED care model involving parallel multidisciplinary assessment and early team discussion of the care plan was not associated with improvements in mid- and low-acuity sepsis patients' door-to-antibiotic time after accounting for changes in the outcome unrelated to the studied intervention.

Conflict of interest statement

We have read the journal's policy and the authors of this manuscript have the following competing interests: IDP and SMB have received research funding to their institution from Janssen Pharmaceuticals, and IDP has received research funding to his institution from Immunexpress Inc. Faron Pharmaceuticals and Sedana Medical paid SMB’s institution for his service on trial steering committees. Asahi Kasei Pharma provided research funding to the institution of IDP, SMB, JRB and DB for subject enrollment in a clinical trial. AMAG Pharmaceuticals paid JRB consultation fees. This does not alter our adherence to PLOS ONE policies on sharing data and materials. The authors otherwise have declared that no competing interests exist.

Figures

Fig 1. Schematic diagram of difference-in-differences analysis.
Fig 1. Schematic diagram of difference-in-differences analysis.
Solid lines represent hypothetical observed data for each emergency department (ED); dotted lines represent the data expected without intervention. The point estimates of analysis period means are indicated by solid circles.
Fig 2. CONSORT-style diagram.
Fig 2. CONSORT-style diagram.

References

    1. Wang HE, Jones AR, Donnelly JP. Revised national estimates of emergency department visits for sepsis in the United States. Crit Care Med. 2017;45: 1443–1449. 10.1097/CCM.0000000000002538
    1. Rhee C, Dantes R, Epstein L, Murphy DJ, Seymour CW, Iwashyna TJ, et al. Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009–2014. JAMA. 2017;318: 1241–1249. 10.1001/jama.2017.13836
    1. Seymour CW, Gesten FC, Prescott HC, Friedrich ME, Iwashyna TJ, Phillips GS, et al. Time to treatment and mortality during mandated emergency care for sepsis. New Engl J Med. 2017;376: 2235–2244. 10.1056/NEJMoa1703058
    1. Liu VX, Fielding-Singh V, Greene JD, Baker JM, Iwashyna TJ, Bhattacharya J, et al. The timing of early antibiotics and hospital mortality in sepsis. Am J Respir Crit Care Med. 2017;196: 856–863. 10.1164/rccm.201609-1848OC
    1. Peltan ID, Brown SM, Bledsoe JR, Sorensen J, Samore MH, Allen TL, et al. ED door-to-antibiotic time and long-term mortality in sepsis. Chest. 2019;155: 938–946. 10.1016/j.chest.2019.02.008
    1. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving Sepsis Campaign: International guidelines for management of sepsis and septic shock: 2016. Crit Care Med. 2017;45: 486–552. 10.1097/CCM.0000000000002255
    1. Hershey TB, Kahn JM. State sepsis mandates—a new era for regulation of hospital quality. New Engl J Med. 2017;376: 2311–2313. 10.1056/NEJMp1611928
    1. Madsen TE, Napoli AM. The DISPARITY-II study: delays to antibiotic administration in women with severe sepsis or septic shock. Acad Emerg Med. 2014;21: 1499–1502. 10.1111/acem.12546
    1. Amaral ACKB, Fowler RA, Pinto R, Rubenfeld GD, Ellis P, Bookatz B, et al. Patient and organizational factors associated with delays in antimicrobial therapy for septic shock. Crit Care Med. 2016;44: 2145–2153. 10.1097/CCM.0000000000001868
    1. Peltan ID, Bledsoe JR, Oniki TA, Sorensen J, Jephson AR, Allen TL, et al. Emergency department crowding is associated with delayed antibiotics for sepsis. Ann Emerg Med. 2019;73: 345–355. 10.1016/j.annemergmed.2018.10.007
    1. Peltan ID, Mitchell KH, Rudd KE, Mann BA, Carlbom DJ, Rea TD, et al. Prehospital care and emergency department door-to-antibiotic time in sepsis. Ann Am Thorac Soc. 2018;15: 1443–1450. 10.1513/AnnalsATS.201803-199OC
    1. Peltan ID, Mitchell KH, Rudd KE, Mann BA, Carlbom DJ, Hough CL, et al. Physician variation in time to antimicrobial treatment for septic patients presenting to the emergency department. Crit Care Med. 2017;45: 1011–1018. 10.1097/CCM.0000000000002436
    1. Wall MJ, Howell MD. Variation and cost-effectiveness of quality measurement programs. the case of sepsis bundles. Ann Am Thorac Soc. 2015;12: 1597–1599. 10.1513/AnnalsATS.201509-625ED
    1. Perniciaro J, Liu D. Swarming: a new model to optimize efficiency and education in an academic emergency department. Ann Emerg Med. 2017;70: 435–436. 10.1016/j.annemergmed.2017.05.012
    1. Perniciaro JL, Schmidt AR, Pham PK, Liu DR. Defining “Swarming” as a New Model to Optimize Efficiency and Education in an Academic Emergency Department. Acad Emerg Med Educ Train. 2019. 10.1002/aet2.10388
    1. Miller RR, Dong L, Nelson NC, Brown SM, Kuttler KG, Probst DR, et al. Multicenter implementation of a severe sepsis and septic shock treatment bundle. Am J Respir Crit Care Med. 2013;188: 77–82. 10.1164/rccm.201212-2199OC
    1. Vincent J-L, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. Intensive Care Med. 1996;22: 707–710. 10.1007/bf01709751
    1. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 2016;315: 801–810. 10.1001/jama.2016.0287
    1. Seymour CW, Liu VX, Iwashyna TJ, Brunkhorst FM, Rea TD, Scherag A, et al. Assessment of clinical criteria for sepsis: for the third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 2016;315: 762–774. 10.1001/jama.2016.0288
    1. Bullard MJ, Unger B, Spence J, Grafstein E, CTAS National Working Group. Revisions to the Canadian Emergency Department Triage and Acuity Scale (CTAS) adult guidelines. CJEM. 2008;10: 136–151. 10.1017/s1481803500009854
    1. Clayton PD, Narus SP, Huff SM, Pryor TA, Haug PJ, Larkin T, et al. Building a comprehensive clinical information system from components: the approach at Intermountain Health Care. Methods Inf Med. 2003;42: 1–7.
    1. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40: 373–383. 10.1016/0021-9681(87)90171-8
    1. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43: 1130–1139. 10.1097/01.mlr.0000182534.19832.83
    1. Allison MG, Schenkel SM. SEP-1: A sepsis measure in need of resuscitation? Ann Emerg Med. 2018;71: 18–20. 10.1016/j.annemergmed.2017.08.057
    1. Mikkelsen ME, Gaieski DF, Goyal M, Miltiades AN, Munson JC, Pines JM, et al. Factors associated with nonadherence to early goal-directed therapy in the ED. Chest. 2010;138: 551–558. 10.1378/chest.09-2210
    1. Band RA, Gaieski DF, Hylton JH, Shofer FS, Goyal M, Meisel ZF. Arriving by emergency medical services improves time to treatment endpoints for patients with severe sepsis or septic shock. Acad Emerg Med. 2011;18: 934–940. 10.1111/j.1553-2712.2011.01145.x
    1. McLean SR, Bledsoe JR, Allen TL, Brown SM, Peltan ID. Lower triage acuity scores are associated with delayed antibiotics in ED sepsis. Dallas, TX: American Thoracic Society; 2019. p. A5986 10.1164/ajrccm-conference.2019.199.1_MeetingAbstracts.A5986
    1. Walkey AJ, Drainoni M-L, Cordella N, Bor J. Advancing quality improvement with regression discontinuity designs. Ann Am Thorac Soc. 2018;15: 523–529. 10.1513/AnnalsATS.201712-942IP
    1. Lederer DJ, Bell SC, Branson RD, Chalmers JD, Marshall R, Maslove DM, et al. Control of confounding and reporting of results in causal inference studies: guidance for authors from editors of respiratory, sleep, and critical care journals. Ann Am Thorac Soc. 2019;16: 22–28. 10.1513/AnnalsATS.201808-564PS

Source: PubMed

3
订阅