The Emergency Department Falls Study

NCT ID: NCT03870867

Last Updated: 2019-03-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1753 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-12-14

Study Completion Date

2017-12-31

Brief Summary

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This is a pilot study to evaluate clinical predictors of intracranial bleeding in elderly patients who present to the emergency department (ED) after a fall. The aim is to assess feasibility and rate of patient recruitment, patient follow up, and to establish a point estimate for the incidence of intracranial bleeding in the investigator's population.

Currently there are no guidelines for ED physicians to assess the pretest probability of intracranial bleed in these patients, and no safe way to exclude a bleed without CT.

Detailed Description

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Seniors account for 15% of the Canadian population. The proportion will greatly increase over the next few years. Elderly people attend the ED more often than younger people, and they often come to the ED after a fall at home or outside. Falling is associated with head injuries, which cause half of all the deaths from falling.

Head injuries are diagnosed with CT scans. In the ED, it can be difficult for the physician to know when to perform a CT scan of the head. It can be hard to know if the elderly person hit their head, and often times, people with bleeding in the head can have a normal examination. The Investigators think that the overall risk of bleeding in the head in elderly who fall is between 3 and 10%. If emergency physicians scanned every senior who fell, only a few would show bleeding, the scanning department would be overwhelmed, there would be increased costs for the hospital and longer delays for patients. It is important for physicians to diagnose a serious head injury as there are lifesaving treatments that can be given.

The Investigators plan to develop a decision rule for emergency physicians that would inform them which patients should have a CT scan of the head and which patients can have a serious head injury safely ruled out without a CT.

The Investigators propose to identify and recruit patients over the age of 65 who come to the Hamilton General or Juravinski Emergency departments after falling. Patients and their caregivers will be consented for a telephone follow-up call after 6 weeks. Data collected will include patient characteristics, general health, and blood test results which might be predictors of a serious head injury.

The Investigators will develop a tool to help emergency physicians to order a CT scan on the right patients.

Conditions

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Fall Head Injury Trauma Intracranial Hemorrhages

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Seniors who have fallen

Emergency department patients over the age of 65 who present to the emergency department after a fall.

No intervention

Intervention Type OTHER

No intervention

Interventions

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No intervention

No intervention

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* 65+ years
* Presenting to the emergency department with fall on level ground, from a bed, from a chair, from the toilet seat or down steps 1 or 2 steps, within the last 48 hours

Exclusion Criteria

* Non-English speaking without an an adequate interpreter
* Falls with an other mechanism of injury
* Falls \> 48 hours before presentation
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hamilton Health Sciences Corporation

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Kerstin de Wit, MD

Role: PRINCIPAL_INVESTIGATOR

Hamilton Health Sciences Corporation

Locations

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Hamilton Health Ciences

Hamilton, Ontario, Canada

Site Status

Countries

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Canada

Other Identifiers

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467

Identifier Type: -

Identifier Source: org_study_id

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