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CompletedNCT03590002Updated Oct 12, 2021

Evaluating the Effectiveness of an Electronic Medical Transfer Tool to Improve Communication During Transfers From ICU

An interventional study of Electronic ICU Medical Transfer Tool in Critical Illness and Transitions of Care, sponsored by Henry T. Stelfox, MD PhD. Completed at 4 sites in Canada. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2021-10-12.

Sponsored by Henry T. Stelfox, MD PhD · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
1,751
Allocation
Randomized
Ages
18 Years and older
Sex
All
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Study summary

The transfer of patients from the intensive care unit (ICU) to a medical or surgical hospital ward is a particularly high risk transfer that may expose patients to complications or adverse events if there are communication breakdowns between sending and receiving medical teams. Current dictation practice often falls short in producing optimal clinical documentation on patients being transferred from the ICU to the ward. The use of an electronic transfer of care tool to standardize communication may improve the quality of information exchanged between ICU and ward medical teams during ICU transfers, compared to dictation. This study will stagger implementation of a new electronic ICU medical transfer of care tool across four adult medical-surgical ICUs in one city. It is anticipated that the electronic ICU transfer tool will positively impact two inter-related goals: (1) improve the completeness and timeliness of clinical documentation on transfer, and (2) reduce the incidence of associated adverse patient clinical outcomes after transfer (e.g., adverse events, ICU readmission).

Read the detailed description

Background: Transfers of care within hospital are vulnerable periods in health care delivery. The complete, accurate, and timely communication of essential patient information is particularly critical in transfers of care from the intensive care unit (ICU) to an inpatient ward. The ICU generally has the most vulnerable patients, the highest resource use, and most complex system of multi professional coordinated care within the hospital. Communication breakdowns between ICU and receiving inpatient medical teams can have profound implications on the quality, delivery and cost of patient care. Ineffective transfers may result in adverse events, redundant testing, increased hospital stays, and readmission to ICU or hospital.

The written transfer summary is a widely used and important means to present and prioritize patient information to healthcare providers. Unlike verbal reporting, written communication is durable and accessible to many providers at many points in time, making it a critical component in facilitating continuity of patient care. Despite known shortcomings, dictation remains standard practice in many hospitals to complete ICU medical transfer summaries. Although the optimal content and structure for transfer summaries have not been agreed upon in the scientific community, it is clear that standardization can help minimize both the incidence and impact of information gaps during transfer. Computer-enabled tools that remind and guide the user to document essential content (e.g., goals of care, medications) have been found to improve the relevance, consistency, and readability of information in transfer summaries.

Methods: This study will use a cluster-specific pre-post trial design with randomized and staggered implementation to assess the effectiveness of an electronic transfer of care tool developed in the primary clinical information system (Sunrise Clinical Manager, Eclipsys Corporation, Boca Raton, FL) by a multidisciplinary team of healthcare providers and clinical documentation specialists. Four adult medical surgical ICUs in one Canadian city will begin as control sites (i.e., no electronic medical transfer tool available) and subsequently be allocated in a random order to cross over to intervention sites (i.e., electronic medical transfer tool available) at regular intervals. Implementation intervals will be matched to medical resident rotation block dates, which occur every four weeks; a single study interval will encompass two resident blocks. Users--physicians and nurse practitioners responsible for completing ICU medical transfer summaries--will have access to the electronic medical transfer tool at intervention sites, in addition to standard dictation services. A multi-component knowledge translation (KT) strategy designed to facilitate adoption of the tool will be tailored and delivered to ICUs prior to implementation at the site. The KT strategy will encompass education, point-of-care support, and audit and feedback.

Data will be collected both prospectively and retrospectively to measure perceived (prospective user survey) and actual (retrospective chart review) quality of the transfer summaries. The primary outcome will be a binary composite measure of two transfer summary conditions, manually collected retrospectively: (1) presence of four essential information elements (goals of care designation, diagnosis, active issues on transfer, medications to continue) and (2) availability of the transfer summary to accepting clinicians at the time of patient transfer. Transfer summaries that meet these two conditions will be coded as "Present"; those that do not will be coded as "Absent". Patient clinical outcome data also will be retrospectively collected from hospital clinical information systems and paper charts. All study outcomes will be compared between baseline (pre-implementation) and intervention (post-implementation) periods for all ICUs.

Discussion: The evaluation of the electronic medical ICU transfer tool will contribute to our understanding how computer-based structured documentation can improve communication between medical teams and potentially better patient safety.

02

Conditions studied

  • Critical Illness
  • Transitions of Care

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Keywords

  • Patient Transfer
  • Patient Discharge Summaries
  • Continuity of Patient Care
  • Intensive Care Unit
  • Critical Care
  • Health Information Exchange
  • Medical Order Entry Systems
  • Point-of-Care Systems
  • Medical Informatics
03

In context

Critical Illness

1,881 studies on the registry are indexed under Critical Illness; 462 are open to participants now.

This study's enrollment of 1,751 is above the median of 90 across 979 interventional studies indexed under Critical Illness.

Browse Critical Illness studies →

Lead sponsor

This is the only study on the registry with Henry T. Stelfox, MD PhD as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • medical-surgical ICU patient
  • ICU disposition on transfer is 'alive'
  • Transfer to another patient care unit

Exclusion criteria

Exclusion Criteria:

  • ICU discharge to home/community residence
  • ICU discharge by death
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Crossover assignment
Masking
None (open label)
Enrollment
1,751 participants (actual)

Study arms

  • Experimental
    Electronic ICU Medical Transfer Tool

    ICUs allocated to the experimental arm will have access to the electronic Medical Transfer of Care Documentation Tool within the clinical information system (CIS) in order to prepare ICU transfer of care documents for the receiving medical care team.

    Device: Electronic ICU Medical Transfer Tool

  • No intervention
    Dictated ICU Medical Transfer

    Usual Care, ICUs in the control group will only have access to the dictation documentation system as the standard method to prepare ICU medical transfer documents. New ICU medical staff responsible for preparing transfer documents will receive the usual training on the dictation system.

Interventions

  • DeviceElectronic ICU Medical Transfer Tool

    Patient transfers of care from the ICU to inpatient wards prepared using the electronic ICU medical transfer tool within the health zone's clinical information system, Sunrise Clinical Manager.

    Also known as: ICU Transfer Tool, ICU Medical Transfer Summary

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What researchers measure

Primary outcomes

  1. Complete and Timely ICU medical transfer of care document

    Binary measure of the presence/absence of two conditions (1) presence of four essential information elements in ICU transfer document (GOC designation, diagnosis, active health issues, and active medications), and (2) availability of the document to accepting medical team at the time of patient transfer. Both conditions must be met to be coded as present.

    Time frame: Day 1, post patient ICU discharge

Secondary outcomes

  1. Overall completeness of ICU medical transfer of care document

    Composite measure of presence of eight essential information fields in ICU transfer document

    Time frame: Day 1, post patient ICU-discharge

  2. Timeliness of ICU medical transfer of care document

    Availability of ICU transfer of care document in the clinical information system

    Time frame: Day 1, post patient ICU discharge

  3. Quality Ratings of ICU clinicians

    ICU clincian ratings of a sample of transfer of care documents.

    Time frame: 2 year

  4. Adverse Event

    Adverse Event is defined as an injury or harm related to (or from) the delivery of care. A two-stage manual abstraction process based on the Institute for Healthcare Improvement Global Trigger Tool (GTT) method of chart review will be applied retrospectively to a random sample of patients.

    Time frame: Post patient ICU discharge, up to 72 hours

  5. Perceptions of ICU clinicians

    Survey of ICU clinicians on preparing transfer of care document and perceptions of quality.

    Time frame: 2 year

Other outcomes

  1. ICU Readmission

    Patient readmission to ICU after having been previously transferred from ICU to ward

    Time frame: Post patient ICU discharge, up to 72 hours

  2. Medical Emergency Team (MET) Activation

    Patient experienced sudden clinical deterioration that triggered MET activation

    Time frame: Post patient ICU discharge, up to 72 hours

  3. Cardiac Arrest Event

    Patient experienced a cardiac arrest event as recorded in hospital system by Code Blue team

    Time frame: Post patient ICU discharge, up to 72 hours

  4. Hospital Mortality

    Patient died within hospital after ICU stay

    Time frame: Post patient ICU discharge, up to 60 days

07

Study locations

4 sites
  • Intensive Care Unit, Peter Lougheed Centre
    Calgary, Alberta T1Y 6J4, Canada
  • Intensive Care Unit, Foothills Medical Centre
    Calgary, Alberta T2N 2T9, Canada
  • Intensive Care Unit, Rockyview General Hospital
    Calgary, Alberta T2V 1P9, Canada
  • Intensive Care Unit, South Health Campus
    Calgary, Alberta T3M 1M4, Canada
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References and documents

Publications

  • Parsons Leigh J, Brundin-Mather R, Zjadewicz K, Soo A, Stelfox HT. Improving transitions in care from intensive care units: Development and pilot testing of an electronic communication tool for healthcare providers. J Crit Care. 2020 Apr;56:265-272. doi: 10.1016/j.jcrc.2020.01.019. Epub 2020 Jan 18. No abstract available. PubMed 31986370 ↗
  • Parsons Leigh J, Brundin-Mather R, Whalen-Browne L, Kashyap D, Sauro K, Soo A, Petersen J, Taljaard M, Stelfox HT. Effectiveness of an Electronic Communication Tool on Transitions in Care From the Intensive Care Unit: Protocol for a Cluster-Specific Pre-Post Trial. JMIR Res Protoc. 2021 Jan 8;10(1):e18675. doi: 10.2196/18675. PubMed 33416509 ↗

Individual participant data

Plan to share: Yes — De-identified study data will be uploaded into the primary funding agency, Canadian Frailty Network (CFN), digital data management system (DDMS) which is currently being developed by the CFN.

Supporting information: Study protocol, Sap

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 12, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03590002
Lead sponsor
Henry T. Stelfox, MD PhD
Collaborators
Canadian Frailty Network, Alberta Health services, Canadian Institutes of Health Research (CIHR)
Responsible party
Henry T. Stelfox, MD PhD (Professor, University of Calgary) — Sponsor-investigator
First posted
Jul 18, 2018
Start date
Jul 30, 2018
Primary completion
Sep 9, 2020
Completion
Sep 15, 2021
Last update
Oct 12, 2021

Study contacts

Henry T Stelfox, MD, PhD
principal investigator · University of Calgary
Jeanna Parsons Leigh, PhD
principal investigator · Dalhouse University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Oct 2021. You cannot join it, but the record below documents what was studied.

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