Impact of Local Tailoring on Acute Stroke Care in 21 Disparate Emergency Departments: A Prospective Stepped Wedge Type III Hybrid Effectiveness-Implementation Study

Author:

McKee Kathleen E.1,Knighton Andrew J.2ORCID,Veale Kristy1,Martinez Julie1ORCID,McCann Cory1,Anderson Jonathan W.1,Wolfe Doug2,Blackburn Robert3,McKasson Marilyn1,Bardsley Tyler4,Ofori-Atta Blessing4ORCID,Greene Tom H.4,Hoesch Robert1,Püttgen H. Adrian1ORCID,Srivastava Rajendu25ORCID

Affiliation:

1. Neurosciences Clinical Program (K.E.M., K.V., J.M., C.M.C., M.M.K., R.H., H.A.P.), Intermountain Health, Salt Lake City, UT.

2. Healthcare Delivery Institute (A.J.K., D.W., R.S.), Enterprise Analytics (J.W.A.), Intermountain Health, Salt Lake City, UT.

3. Continuous Improvement (R.B.), Intermountain Health, Salt Lake City, UT.

4. Division of Biostatistics, School of Medicine (T.B., B.O.-A., T.H.G.), University of Utah, Salt Lake City.

5. Division of Pediatric Hospital Medicine, Department of Pediatrics, Primary Children’s Hospital (R.S.), University of Utah, Salt Lake City.

Abstract

BACKGROUND: Faster delivery of tPA (tissue-type plasminogen activator) results in better health outcomes for eligible patients with stroke. Standardization of stroke protocols in emergency departments (EDs) has been difficult, especially in nonstroke centers. We measured the effectiveness of a centrally led implementation strategy with local site tailoring to sustain adherence to an acute stroke protocol to improve door-to-needle (DTN) times across disparate EDs in a multihospital health system. METHODS: Prospective, type III hybrid effectiveness-implementation cohort study measuring performance at 21 EDs in Utah and Idaho (stroke centers [4]/nonstroke centers [17]) from January 2018 to February 2020 using a nonrandomized stepped-wedge design, monthly repeated site measures and multilevel hierarchical modeling. Each site received the implementation strategies in 1 of 6 steps providing control and intervention data. Co-primary outcomes were percentage of DTN times ≤60 minutes and median DTN time. Secondary outcomes included percentage of door-to-activation of neurological consult times ≤10 minutes and clinical effectiveness outcomes. Results were stratified between stroke and nonstroke centers. RESULTS: A total of 855 474 ED patient encounters occurred with 5325 code stroke activations (median age, 69 [IQR, 56–79] years; 51.8% female patients]. Percentage of door-to-activation times ≤10 minutes increased from 47.5% to 59.9% (adjusted odds ratio, 1.93 [95% CI, 1.40–2.67]). A total of 615 patients received tPA of ≤3 hours from symptom onset (median age, 71 [IQR, 58–80] years; 49.6% female patients). The percentage of DTN times ≤60 minutes increased from 72.5% to 86.1% (adjusted odds ratio, 3.38, [95% CI, 1.47–7.78]; stroke centers (77.4%–90.0%); nonstroke centers [59.3%–72.1%]). Median DTN time declined from 46 to 38 minutes (adjusted median difference, −9.68 [95% CI, −17.17 to −2.20]; stroke centers [41–35 minutes]; nonstroke centers [55–52 minutes]). No differences were observed in clinical effectiveness outcomes. CONCLUSIONS: A centrally led implementation strategy with local site tailoring led to faster delivery of tPA across disparate EDs in a multihospital system with no change in clinical effectiveness outcomes including rates of complication. Disparities in performance persisted between stroke and nonstroke centers.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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