Trial Review

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Trial registered on ANZCTR


Registration number
ACTRN12621000200886
Ethics application status
Approved
Date submitted
5/01/2021
Date registered
25/02/2021
Date last updated
17/09/2023
Date data sharing statement initially provided
25/02/2021
Date results information initially provided
17/09/2023
Type of registration
Prospectively registered

Titles & IDs
Public title
A Multicentre, Qualitative Evaluation of Australian and New Zealand Emergency Doctors’ Attitudes Towards Artificial Intelligence in Emergency Medicine
Scientific title
A Multicentre, Qualitative Evaluation of Australian and New Zealand Emergency Doctors’ Attitudes Towards Artificial Intelligence in Emergency Medicine
Secondary ID [1] 303098 0
Nil known
Universal Trial Number (UTN)
U1111-1263-4657
Trial acronym
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Emergency Care 320528 0
Condition category
Condition code
Emergency medicine 318135 318135 0 0
Other emergency care

Intervention/exposure
Study type
Observational
Patient registry
False
Target follow-up duration
Target follow-up type
Description of intervention(s) / exposure
Interviewers blinded to study hypothesis will conduct voluntary semi-structured interviews with a representative sample of Australian and New Zealand emergency medicine doctors to assess their attitudes towards the use of artificial intelligence in emergency medicine. Each participant will be interviewed once, and the interview length will be no more than 45 minutes. Interviews will be conducted via telephone call (without video).
Intervention code [1] 319399 0
Not applicable
Comparator / control treatment
No control group
Control group
Uncontrolled

Outcomes
Primary outcome [1] 326113 0
Emergency Doctors perspective towards the use of artificial intelligence in emergency medicine as assessed by semi-structured interview which will be recorded, transcribed and thematically analysed
Timepoint [1] 326113 0
Assessed at a once-off participant interview
Secondary outcome [1] 390173 0
Emergency Doctors understanding of the artificial intelligence in general as assessed by semi-structured interview which will be recorded, transcribed and thematically analysed
Timepoint [1] 390173 0
Assessed at a once-off participant interview.

Eligibility
Key inclusion criteria
ACEM trainees and FACEMs working in ACEM accredited emergency departments
Minimum age
18 Years
Maximum age
No limit
Sex
Both males and females
Can healthy volunteers participate?
Yes
Key exclusion criteria
None

Study design
Purpose
Natural history
Duration
Cross-sectional
Selection
Defined population
Timing
Prospective
Statistical methods / analysis
Audio recordings transcripts will be analysed using NVivo until theme saturation achieved (unanimous agreement between the research team, and 3 consecutive interviews with no new theme introduction) for each demographic group. Descriptive statistics will be used to describe characteristics of participants. We will conduct predetermined analysis by age, gender, position (training registrar/consultant) geographic location, and type of hospital as defined by ACEM (rural/regional, urban district, major referral) in order to provide further descriptive statistics. We will also compare our study demographics to reported demographics from the ACEM workforce to assess if our responses are demographically representative of the ACEM trainee and FACEM cohorts.

Recruitment
Recruitment status
Completed
Date of first participant enrolment
Anticipated
1/03/2021
Actual
1/07/2021
Date of last participant enrolment
Anticipated
1/06/2022
Actual
31/05/2022
Date of last data collection
Anticipated
1/06/2022
Actual
31/05/2022
Sample size
Target
50
Accrual to date
Final
25
Recruitment in Australia
Recruitment state(s)
ACT,NSW,NT,QLD,SA,TAS,WA,VIC
Recruitment outside Australia
Country [1] 23356 0
New Zealand
State/province [1] 23356 0

Funding & Sponsors
Funding source category [1] 307503 0
Other Collaborative groups
Name [1] 307503 0
Western Australian Health Translation Network
Country [1] 307503 0
Australia
Primary sponsor type
Individual
Name
Dr Jonathon Stewart
Address
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Country
Australia
Secondary sponsor category [1] 308182 0
Individual
Name [1] 308182 0
Prof Girish Dwivedi
Address [1] 308182 0
Harry Perkins Institute of Medical Research
5 Robin Warren Dr, Murdoch WA 6150
Country [1] 308182 0
Australia

Ethics approval
Ethics application status
Approved
Ethics committee name [1] 307575 0
University of Western Australia Human Research Ethics Committee
Ethics committee address [1] 307575 0
The Univesrity of Western Australia. 35 Stirling Hwy, Crawley WA 6009
Ethics committee country [1] 307575 0
Australia
Date submitted for ethics approval [1] 307575 0
17/02/2021
Approval date [1] 307575 0
26/03/2021
Ethics approval number [1] 307575 0

Summary
Brief summary
Background
Artificial intelligence (AI) has become increasingly capable over the last decade. AI technologies are approaching or surpassing human abilities at complex tasks. Specifically, in healthcare, AI is approaching or surpassing human clinician ability in multiple narrow domains. Research on AI in medicine has been increasing worldwide and across almost all specialties. General public opinion has seen to be positive in a number of surveys, with the public expressing high hopes that AI could be used to improve healthcare. Interaction with AI technologies is likely to become an increasingly common aspect of healthcare for both patients and physicians. Despite these trends, there is no data regarding Australian and New Zealand emergency doctors’ knowledge, attitudes, and opinions towards AI in general and the use of AI in emergency medicine.

Aim
Assess Australian and New Zealand emergency doctors’ attitudes and knowledge towards AI in general and the use of AI in emergency medicine.

Plan
We will conduct voluntary semi-structured interviews with a representative sample of Australian and New Zealand emergency medicine doctors until thematic saturation is achieved. Participants will be recruited through the research teams’ personal networks, and through recruitment advertising through ACEM. We will continue interviews as required until we achieve appropriate representation of the emergency medicine workforce. We will undertake qualitative analysis on transcribed interviews to uncover attitudes and themes.
Trial website
Trial related presentations / publications
Public notes

Contacts
Principal investigator
Name 107730 0
Dr Jonathon Stewart
Address 107730 0
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Country 107730 0
Australia
Phone 107730 0
+61435211352
Fax 107730 0
Email 107730 0
jonathon.stewart@health.wa.gov.au
Contact person for public queries
Name 107731 0
Dr Jonathon Stewart
Address 107731 0
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Country 107731 0
Australia
Phone 107731 0
+61 8 6488 1380
Fax 107731 0
Email 107731 0
jonathon.stewart@health.wa.gov.au
Contact person for scientific queries
Name 107732 0
Dr Jonathon Stewart
Address 107732 0
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Country 107732 0
Australia
Phone 107732 0
+61 8 6488 1380
Fax 107732 0
Email 107732 0
jonathon.stewart@health.wa.gov.au

Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
No/undecided IPD sharing reason/comment


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
No additional documents have been identified.