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Trial registered on ANZCTR
Registration number
ACTRN12611001007921
Ethics application status
Approved
Date submitted
20/09/2011
Date registered
20/09/2011
Date last updated
17/03/2016
Type of registration
Retrospectively registered
Titles & IDs
Public title
Diabetes Case Detection through Emergency Department Admissions
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Scientific title
A cluster randomised trial of diabetes detection through routine blood glucose testing among people admitted to hospital through Emergency Departments
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Secondary ID [1]
262980
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Nil
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Diabetes
270702
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Condition category
Condition code
Metabolic and Endocrine
271003
271003
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0
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Diabetes
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Public Health
271008
271008
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0
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Health service research
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Routine testing of blood glucose for all patients admitted to hospital through Emergency Departments, who have blood taken.
Measurement of HbA1c if blood glucose >=14 mmol/L.
Notification of Diabetes Services if blood glucose >=14 mmol/L so that patient can receive early assessment by the diabetes team during the period of their inpatient admission.
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Intervention code [1]
269323
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Early detection / Screening
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Comparator / control treatment
Routine testing of blood glucose for all patients admitted to hospital through Emergency Departments, who have blood taken.
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Control group
Active
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Outcomes
Primary outcome [1]
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To determine if the intervention leads to improved detection and diagnosis of diabetes amongst hyperglycaemic people admitted through Emergency, who had not previously been diagnosed with diabetes
Criteria for primary outcome:
Admission BGL elevated (greater than or equal to 14 mmol/L)
And documentation in notes of the likely diagnosis and there is plan for follow-up (eg; with GP, diabetes educator or Endocrinologist)
And one or more of the following:
i) HbA1c greater than or equal to 6.5% (where the normal range is 4-6%)
ii) Another fasting BGL greater than or equal to 7.0 during admission
iii) Another random BGL greater than or equal to 11.1 during admission
iv) Meeting WHO criteria for diagnosis of diabetes upon follow-up testing post-discharge
v) Requiring regular anti-diabetic medication at discharge
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Assessment method [1]
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Timepoint [1]
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During hospital admission
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Secondary outcome [1]
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To determine if the intervention leads to lower mean length of stay for hyperglycaemic patients who had not previously been diagnosed with diabetes as recorded in the NSW Admitted Patients Data Collection
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Assessment method [1]
287900
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Timepoint [1]
287900
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During hospital admission
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Secondary outcome [2]
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To determine if the intervention leads to fewer care complications (eg infection occurring in hospital, acute renal failure occurring in hospital, acute coronary syndrome occurring in hospital) for hyperglycaemic patients who had not previously been diagnosed with diabetes as recorded in the NSW Admitted Patients Data Collection
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Assessment method [2]
294165
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Timepoint [2]
294165
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During hospital admission
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Secondary outcome [3]
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To determine if the intervention leads to a lower hospital readmission rate within one year (for any condition) for hyperglycaemic patients who had not previously been diagnosed with diabetes as recorded in the NSW Admitted Patients Data Collection
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Assessment method [3]
294166
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Timepoint [3]
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Within one year of discharge
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Eligibility
Key inclusion criteria
All patients admitted to hospital through Emergency Departments who have blood taken.
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
Nil
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Study design
Purpose of the study
Diagnosis
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Cluster randomised trial
Based on hospital randomisation
A random list of randomisation codes were generated off site by a statistician. This was paired against the participating hospitals listed in random order which was independently computer generated.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Subject allocation was based on hospital randomisation
A random list of randomisation codes were generated off site by a statistician. This was paired against the participating hospitals listed in random order which was independently computer generated, with stratification into district and tertiary hospitals. Thus hospitals were allocated to intervention or control.
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Masking / blinding
Open (masking not used)
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Who is / are masked / blinded?
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Intervention assignment
Parallel
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Other design features
cluster randomisation
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
30/07/2011
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Actual
31/05/2011
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Date of last participant enrolment
Anticipated
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Actual
31/12/2012
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
450
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Accrual to date
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Final
900
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Recruitment in Australia
Recruitment state(s)
NSW
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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NHMRC
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Address [1]
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GPO Box 1421,
Canberra
ACT 2601
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Country [1]
269788
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Australia
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Funding source category [2]
269900
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Government body
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Name [2]
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NSW Agency for Clinical Innovation
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Address [2]
269900
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PO Box 699
Chatswood NSW 2057
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Country [2]
269900
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Australia
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Primary sponsor type
Hospital
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Name
Westmead Hospital
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Address
Hawkesbury Rd
Westmead Hospital
Westmead NSW 2145
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Country
Australia
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Secondary sponsor category [1]
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Government body
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Name [1]
268826
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NSW Agency for Clinical Innovation
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Address [1]
268826
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PO Box 699
Chatswood NSW 2057
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Country [1]
268826
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Australia
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Sydney West Area Health Service Human Research Ethics Committee
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Ethics committee address [1]
271746
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Hawkesbury Rd Westmead Hospital Westmead NSW 2145
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Ethics committee country [1]
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Australia
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Date submitted for ethics approval [1]
271746
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Approval date [1]
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08/03/2010
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Ethics approval number [1]
271746
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HREC2010/2/4.4(3100)
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Ethics committee name [2]
290859
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NSW Population and Health Services Research Ethics Committee
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Ethics committee address [2]
290859
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Ethics committee country [2]
290859
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Australia
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Date submitted for ethics approval [2]
290859
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Approval date [2]
290859
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26/03/2014
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Ethics approval number [2]
290859
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HREC/CIPHS/4
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Summary
Brief summary
This health services research study aims to evaluate, using a single blind, cluster randomised control design the novel system of routine blood glucose testing amongst all patients admitted to hospital via Emergency, followed by automatic notification of the relevant hospital’s Diabetes Services for those who are hyperglycaemic, to assess related improvement in diabetes case detection and subsequent implementation of diabetes care.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof N Wah Cheung
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Address
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Dept of Diabetes & Endocrinology, Westmead Hospital,
Hawkesbury Rd,
Westmead NSW 2145
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Country
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Australia
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Phone
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6102 98456796
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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N Wah Cheung
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Address
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Westmead Hospital
Hawkesbury Rd
Westmead
NSW 2145
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Country
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Australia
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Phone
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610298455555
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Fax
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610296355691
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Email
16355
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[email protected]
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Contact person for scientific queries
Name
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N Wah Cheung
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Address
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Westmead Hospital
Hawkesbury Rd
Westmead
NSW 2145
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Country
7283
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Australia
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Phone
7283
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610298455555
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Fax
7283
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610296355691
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Email
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[email protected]
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No information has been provided regarding IPD availability
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
Source
Title
Year of Publication
DOI
Embase
Routine glucose assessment in the emergency department for detecting unrecognised diabetes: a cluster randomised trial.
2019
https://dx.doi.org/10.5694/mja2.50394
N.B. These documents automatically identified may not have been verified by the study sponsor.
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