Evidence map›Paper›PMID 34078374›Full record

ArticleBMC health services research2021

Protocol for a two-arm pragmatic stepped-wedge hybrid effectiveness-implementation trial evaluating Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship (ENCOMPASS).

Marc Kowalkowski, Tara Eaton, Andrew McWilliams, Hazel Tapp, Aleta Rios, Stephanie Murphy, Ryan Burns, Bella Gutnik, Katherine O'Hare, Lewis McCurdy and 6 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04495946 (Implementation and Effectiveness of Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04495946 nacompletednot on this map

Implementation and Effectiveness of Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship: A Hybrid Effectiveness-Implementation Randomized Controlled Trial

TypeinterventionalSponsorWake Forest University Health SciencesRan2020 to 2024Enrolled3,894ConditionsSepsisArmsSepsis Transition and Recovery (STAR) program, Usual care
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 1 country.

Marc KowalkowskiCenter for Outcomes Research and Evaluation, Atrium Health, 1300 Scott Ave, Charlotte, NC, 28203, USA. Marc.Kowalkowski@AtriumHealth.org.ORCID http://orcid.org/0000-0003-2624-4209
Tara EatonCenter for Outcomes Research and Evaluation, Atrium Health, 1300 Scott Ave, Charlotte, NC, 28203, USA.
Andrew McWilliamsCenter for Outcomes Research and Evaluation, Atrium Health, 1300 Scott Ave, Charlotte, NC, 28203, USA.
Hazel TappDepartment of Family Medicine, Atrium Health, Charlotte, USA.
Aleta RiosAmbulatory Care Management, Atrium Health, Charlotte, USA.
Stephanie MurphyDepartment of Internal Medicine, Atrium Health, Charlotte, USA.
Ryan BurnsCenter for Outcomes Research and Evaluation, Atrium Health, 1300 Scott Ave, Charlotte, NC, 28203, USA.
Bella GutnikCenter for Outcomes Research and Evaluation, Atrium Health, 1300 Scott Ave, Charlotte, NC, 28203, USA.
Katherine O'HareDepartment of Family Medicine, Atrium Health, Charlotte, USA.
Lewis McCurdyDivision of Infectious Disease, Department of Internal Medicine, Atrium Health, Charlotte, USA.
Michael DulinAcademy for Population Health Innovation, University of North Carolina Charlotte & Mecklenburg County Public Health Department, Charlotte, USA.
Christopher BlanchetteDepartment of Public Health Sciences, University of North Carolina Charlotte, Charlotte, USA.
Shih-Hsiung ChouCenter for Outcomes Research and Evaluation, Atrium Health, 1300 Scott Ave, Charlotte, NC, 28203, USA.
Scott HalpernPalliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Derek C AngusClinical Research, Investigation, and Systems Modeling of Acute illness (CRISMA) Center, University of Pittsburgh, Pittsburgh, USA.
Stephanie P TaylorDepartment of Internal Medicine, Atrium Health, Charlotte, USA.
Atrium Medical Cente · USUniversity of North Carolina at Charlotte · USUniversity of Pennsylvania · USUniversity of Pittsburgh · US

Funding

COVID-19 Healthcare Access and Sequelae EvaluationR01NR018434 · NINR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KOWALKOWSKI, MARC, TAYLOR, STEPHANIE P · 2019 to 2023
$3.3M
Classifying Sepsis Survivors into Actionable PhenotypesR21LM013373 · NLM · CAROLINAS MEDICAL CENTER · PI TAYLOR, STEPHANIE P · 2020 to 2021
$371k
NINR NIH HHS R01 NR018434NINR NIH HHS R01NR018434NLM NIH HHS R21 LM013373
6 · The paper itself

Abstract

backgroundSepsis survivors experience high morbidity and mortality, and healthcare systems lack effective strategies to address patient needs after hospital discharge. The Sepsis Transition and Recovery (STAR) program is a navigator-led, telehealth-based multicomponent strategy to provide proactive care coordination and monitoring of high-risk patients using evidence-driven, post-sepsis care tasks. The purpose of this study is to evaluate the effectiveness of STAR to improve outcomes for sepsis patients and to examine contextual factors that influence STAR implementation.

methodsThis study uses a hybrid type I effectiveness-implementation design to concurrently test clinical effectiveness and gather implementation data. The effectiveness evaluation is a two-arm, pragmatic, stepped-wedge cluster randomized controlled trial at eight hospitals in North Carolina comparing clinical outcomes between sepsis survivors who receive Usual Care versus care delivered through STAR. Each hospital begins in a Usual Care control phase and transitions to STAR in a randomly assigned sequence (one every 4 months). During months that a hospital is allocated to Usual Care, all eligible patients will receive usual care. Once a hospital transitions to STAR, all eligible patients will receive STAR during their hospitalization and extending through 90 days from discharge. STAR includes centrally located nurse navigators using telephonic counseling and electronic health record-based support to facilitate best-practice post-sepsis care strategies including post-discharge review of medications, evaluation for new impairments or symptoms, monitoring existing comorbidities, and palliative care referral when appropriate. Adults admitted with suspected sepsis, defined by clinical criteria for infection and organ failure, are included. Planned enrollment is 4032 patients during a 36-month period. The primary effectiveness outcome is the composite of all-cause hospital readmission or mortality within 90 days of discharge. A mixed-methods implementation evaluation will be conducted before, during, and after STAR implementation. DISCUSSION: This pragmatic evaluation will test the effectiveness of STAR to reduce combined hospital readmissions and mortality, while identifying key implementation factors. Results will provide practical information to advance understanding of how to integrate post-sepsis management across care settings and facilitate implementation, dissemination, and sustained utilization of best-practice post-sepsis management strategies in other heterogeneous healthcare delivery systems.

trial registrationNCT04495946 . Submitted July 7, 2020; Posted August 3, 2020.

Indexed as

SepsisSurvivorshipAdultAftercareHumansNorth CarolinaPatient DischargePragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicContinuity of patient careHealth servicesInfectionPatient navigatorPragmatic clinical trialSepsis

Identifiers

PMID34078374
PMCPMC8170654
OpenAlexW3165829063

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.