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Trial registered on ANZCTR
Registration number
ACTRN12622000575730
Ethics application status
Approved
Date submitted
25/03/2022
Date registered
14/04/2022
Date last updated
14/04/2022
Date data sharing statement initially provided
14/04/2022
Type of registration
Retrospectively registered
Titles & IDs
Public title
Stroke Clinical Coding and Documentation Education Program
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Scientific title
Evaluation of an education program on the accurate coding for stroke-coders and clinicians
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Secondary ID [1]
306776
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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:
Stroke
325790
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Transient ischaemic attack
325791
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Condition category
Condition code
Stroke
323127
323127
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0
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Ischaemic
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Stroke
323128
323128
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0
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Haemorrhagic
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
This will be a cluster randomised controlled trial, using the stepped wedge design, with the allocated states/country as the clustering unit. This approach will involve the pre-intervention and intervention periods being staggered across clusters, thereby ensuring that the intervention is available to all participants.
The intervention modules will be implemented monthly across the 4 intervention periods 1) Victoria/Tasmania; 2) New South Wales/Queensland; 3) Western Australia/South Australia/ Northern Territory; 4) New Zealand.
The education program will comprise eight modules, including those focusing on:
1) rationale for coding
2) understanding the brain and stroke
3) management of stroke
4) Australian coding standards for stroke
5) good coding practices
6) coding trees
7) good clinical documentation
8) scenarios.
These modules will be aimed at improving the knowledge of clinical documentation for stroke and coding of stroke. Coders will complete all modules, while clinicians will complete four modules (1,4,5,6 modules).
The education workshop has been scheduled to be delivered via teleconference to registrants in all states in Australia (3 workshops) and in New Zealand (1 workshop). The mode of training includes lecture + power point slides and interactive activities (e.g. pre and post surveys as well as polls for the scenarios). The one day education workshop is targeted for coders and clinicians and will take 60-90 minutes.
The education program will be delivered virtually by A/Prof Monique Kilkenny (an academic, with more than 20 years experience as a health information management expert and epidemiologist), Ailie Sanders (more than 3 years as a health information manager/clinical coder) and Dr Lauren Sanders (an academic and clinical neurologist), and will be updated regularly as it evolves. Therefore, the modules will be structured such that they can accommodate future changes or updates in coding.
The Admissions coded datasets in all states in Australia and New Zealand will be monitored regularly (each quarter) to determine whether there has been a decrease in the coding of I64 (Unspecified Stroke). The validation study comparing the Australian Stroke Clinical Registry clinical diagnosis and the admissions coded data will be repeated to monitor the coding of stroke (see Ryan et al. Stroke & Cerebrovascular Diseases 2020).
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Intervention code [1]
323227
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Early detection / Screening
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Comparator / control treatment
This will be a cluster randomised controlled trial, using the stepped wedge design, Therefore the intervention group will also undergo a control period.
The last cluster will implement the intervention, e.g. 4 months after the first cluster and all clusters will be allocated to undergo the control period (i.e. usual coding practice) for at least 1 month during the study.
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Control group
Active
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Outcomes
Primary outcome [1]
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Study-specific questionnaires will be used to measure the change in the knowledge of stroke coding (pre and post-survey)
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Assessment method [1]
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Timepoint [1]
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Prior to intervention implementation and immediately after intervention implementation,
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Secondary outcome [1]
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Composite: Change in the proportion of coding for unspecified stroke (I64) by state/region determined by audit of all state/region-based admissions datasets in Australia and New Zealand.
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Assessment method [1]
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Timepoint [1]
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Prior to intervention implementation and 12 months after intervention implementation
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Secondary outcome [2]
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Composite: change in the proportion of diagnoses that are false positives or false negative in coded administrative data when compared with clinical diagnoses documented in the Australian Stroke Clinical Registry.
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Assessment method [2]
407962
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Timepoint [2]
407962
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Prior to intervention implementation and 12 months after intervention implementation
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Eligibility
Key inclusion criteria
Participants must be health information managers/clinical coders or clinicians involved in stroke coding or stroke care.
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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?
Yes
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Key exclusion criteria
None
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Study design
Purpose of the study
Educational / counselling / training
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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)
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
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Masking / blinding
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Who is / are masked / blinded?
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Intervention assignment
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
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Statistical methods / analysis
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
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Actual
7/04/2022
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Date of last participant enrolment
Anticipated
30/06/2022
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Actual
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Date of last data collection
Anticipated
30/06/2023
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Actual
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Sample size
Target
400
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Accrual to date
143
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Final
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Recruitment in Australia
Recruitment state(s)
ACT,NSW,NT,QLD,SA,TAS,WA,VIC
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Recruitment outside Australia
Country [1]
24688
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New Zealand
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State/province [1]
24688
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Funding & Sponsors
Funding source category [1]
311113
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Other Collaborative groups
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Name [1]
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The STOPstroke Research Group
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Address [1]
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Menzies Institute of Medical Research, University of Tasmania, Hobart
Medical Science Precinct
17 Liverpool Street
Hobart TAS 7000
Australia
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Country [1]
311113
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Australia
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Primary sponsor type
Other Collaborative groups
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Name
The STOPstroke Research Group
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Address
Menzies Institute of Medical Research, University of Tasmania, Hobart
Medical Science Precinct
17 Liverpool Street
Hobart TAS 7000
Australia
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Country
Australia
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Secondary sponsor category [1]
312519
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None
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Name [1]
312519
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Address [1]
312519
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Country [1]
312519
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
310644
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Monash University Human Research Ethics Committee
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Ethics committee address [1]
310644
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Monash University, Clayton Office of Research Ethics and Integrity, 26 Sports Walk, Monash University, Wellington Road, Clayton VIC 3800 Australia
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Ethics committee country [1]
310644
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Australia
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Date submitted for ethics approval [1]
310644
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Approval date [1]
310644
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15/03/2022
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Ethics approval number [1]
310644
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Summary
Brief summary
Globally, stroke is a leading cause of death and disability. Despite the impact of stroke on public health, it is considered a lower priority for clinical services and research in many countries. This is possibly due to lack of readily available and accessible data on stroke care and outcomes to inform prevention strategies. Routinely collected coded administrative data are increasingly being used to generate evidence for the prevention and management of stroke. However, accurate clinical coding is critical to ensure these data are valuable and reliable. To ensure and maintain accurate coding, complete and representative clinical documentations are required. Therefore, this project is focused on implementing and evaluating educational interventions for clinicians and coders, in the form of online education on stroke and coding for stroke, to improve documentations and coding for stroke.
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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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A/Prof Monique Kilkenny
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Address
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Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University
Level 3 Hudson Institute Building
27-31 Wright Street, Clayton, VIC 3168
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Country
118374
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Australia
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Phone
118374
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+61 402449503
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Fax
118374
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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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Ailie Sanders
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Address
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Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University
Level 3 Hudson Institute Building
27-31 Wright Street, Clayton, VIC 3168
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Country
118375
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Australia
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Phone
118375
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+61 402449503
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Fax
118375
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Email
118375
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[email protected]
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Contact person for scientific queries
Name
118376
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Monique Kilkenny
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Address
118376
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Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University
Level 3 Hudson Institute Building
27-31 Wright Street, Clayton, VIC 3168
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Country
118376
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Australia
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Phone
118376
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+61 402449503
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Fax
118376
0
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Email
118376
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
Yes
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What data in particular will be shared?
All of the individual participant data collected during the trial, after de-identification
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When will data be available (start and end dates)?
Beginning 3 months and ending 5 years following main results publication
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Available to whom?
Only researchers who provide a methodologically sound proposal
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Available for what types of analyses?
For IPD meta-analyses
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How or where can data be obtained?
Access subject to approvals by Principal Investigator (A/Prof Monique Kilkenny). Email contact is
[email protected]
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
15565
Study protocol
[email protected]
383829-(Uploaded-25-03-2022-12-53-59)-Study-related document.docx
15566
Ethical approval
383829-(Uploaded-25-03-2022-12-53-18)-Study-related document.pdf
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
Download to PDF