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Effect of Automated Real-time Feedback on Early Sepsis Care

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Mass General Brigham

Status

Completed

Conditions

Sepsis

Treatments

Other: SCTP

Study type

Interventional

Funder types

Other

Identifiers

NCT05625464
2020P002676

Details and patient eligibility

About

Sepsis is the leading cause of death among US hospitals, accounting for 6% of all hospitalizations and 35% of all inpatient deaths. International guidelines and the CMS SEP-1 bundle stress the importance of adhering to specific steps in the diagnosis and management of sepsis. This can be very difficult, especially in the setting of a busy ED, ward, or ICU where there are multiple simultaneous demands on providers' attention and time. Critical steps can be missed or delayed. The CMS SEP-1 bundle is a measure of compliance with sepsis care that is being tracked nationally across hospitals.

Unfortunately, a recent study demonstrated that every hour of delay to the completion of a sepsis bundle, including antibiotic administration, was associated with a 4% increase in risk-adjusted hospital mortality.

One strategy to improve the care and outcomes of patients with sepsis is the use of information technology to support our providers in a targeted manner. Technology has already been developed and deployed to help with the early identification of patients with sepsis using a Best Practice Alert (BPA), which has been in place at our hospital since 2017. This pop-up window alerts the team to the possibility of sepsis based on data within the medical record. However, once the alert is accepted or declined, the BPA does not offer ongoing support to clinicians, leaving the clinician to track and execute multiple time-based and inter-dependent sepsis bundle measures in a busy, hectic environment. To augment this existing tool, here we propose to study the efficacy of a novel technology called the Sepsis Care Tracking Platform (SCTP) to provide ongoing support at the bedside to providers, thus improving the care we deliver to patients.

SCTP is a monitoring and notification platform that aims to increase the timely delivery of key elements of evidence-based sepsis care. This platform, which was built by clinicians for clinicians, leverages the electronic medical record (EMR) to track real-time compliance with key components of the CMS SEP-1 bundle - timely antibiotics, blood cultures prior to antibiotics, initial lactate, and repeat lactate for those patients with an initially elevated level. SCTP underwent technical validation in Fall 2019 with a pilot in the MGH Emergency Department. The pilot confirmed that SCTP correctly identified missing bundle elements and paged the appropriate team members connected with the patient's care. The pilot also did not find alarm fatigue to be an issue. We hypothesize that SCTP will increase our hospital's compliance with sepsis process metrics and improve patient outcomes.

By monitoring real-time data and automatically alerting bedside providers to missing elements within an actionable timeframe, SCTP has the potential to drive improvements in clinical care even in the extremely busy and complex environment of the emergency department and inpatient units.

Enrollment

3,269 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Adult patients aged 18 years old and over
  2. Who triggered a sepsis best practice advisory that was subsequently acknowledged by a treating clinician as "yes, sepsis possible"

Exclusion criteria

  1. Transfer from an outside hospital
  2. Sepsis best practice advisory triggered while the patient is in an intensive care unit
  3. Sepsis best practice advisory triggered while the patient is in a perioperative care area

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Triple Blind

3,269 participants in 2 patient groups

Intervention
Experimental group
Description:
Received SCTP monitoring and standard of care
Treatment:
Other: SCTP
Control
No Intervention group
Description:
Received standard of care only

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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