Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12621000217808
Ethics application status
Approved
Date submitted
19/01/2021
Date registered
3/03/2021
Date last updated
3/03/2021
Date data sharing statement initially provided
3/03/2021
Type of registration
Prospectively registered
Titles & IDs
Public title
Patients' Attitudes Towards The Use Of Artificial Intelligence In Their Emergency Care
Query!
Scientific title
Patients' Attitudes Towards The Use Of Artificial Intelligence In Their Emergency Care
Query!
Secondary ID [1]
303215
0
None
Query!
Universal Trial Number (UTN)
Query!
Trial acronym
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Emergency Care
320363
0
Query!
Condition category
Condition code
Emergency medicine
318268
318268
0
0
Query!
Other emergency care
Query!
Intervention/exposure
Study type
Observational
Query!
Patient registry
False
Query!
Target follow-up duration
Query!
Target follow-up type
Query!
Description of intervention(s) / exposure
The survey has been designed specifically for this study. Survey questions have been developed with input from specialists in emergency medicine, computer science and artificial intelligence, and consumers to ensure face validity. The survey to be used will be piloted in a small representative sample of around 50 patients. If required survey questions will be iteratively updated. Surveys will be conducted by researchers blinded to study hypothesis. Following informed consent, patients in the emergency department will complete a paper-based survey. The anticipated duration of this survey is approximately 5 minutes. If patients cannot read English the survey will be conducted through a standardised and structured interview (~5 minutes duration).
Query!
Intervention code [1]
319529
0
Not applicable
Query!
Comparator / control treatment
No control group
Query!
Control group
Uncontrolled
Query!
Outcomes
Primary outcome [1]
326253
0
Emergency department patients' attitudes towards the use of artificial intelligence in their emergency care assessed by study-specific survey
Query!
Assessment method [1]
326253
0
Query!
Timepoint [1]
326253
0
Assessed at a once-off participant survey
Query!
Secondary outcome [1]
390754
0
Emergency department patients' concerns towards the use of artificial intelligence in their emergency care assessed by study-specific survey
Query!
Assessment method [1]
390754
0
Query!
Timepoint [1]
390754
0
Assessed at a once-off participant survey
Query!
Eligibility
Key inclusion criteria
Patients presenting to Hospital Emergency Departments with an Australasian Triage Score category of 2, 3, 4, or 5. Patients will be considered eligible if they are over 18 and able to give informed consent to participate in the survey.
Query!
Minimum age
18
Years
Query!
Query!
Maximum age
No limit
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
Yes
Query!
Key exclusion criteria
Patients will be excluded if they are aged under 18, if they are acutely psychotic, if they are intoxicated, if they are cognitively impaired, if they do not speak English, or if the urgency of their clinical care precludes them from participating in a survey.
Query!
Study design
Purpose
Natural history
Query!
Duration
Cross-sectional
Query!
Selection
Convenience sample
Query!
Timing
Prospective
Query!
Statistical methods / analysis
In order to validate our survey we will conduct an initial pilot survey (50-100 patients) on our intended population, then analysis this through principal component analysis to identify underlying factors, and Cronbach's alpha to test internal consistency. Following the results of this pilot we will re-evaluate our survey questions and if necessary update them and repeat this process.
We will again assess our data through principal component analysis and Chronbach's alpha following completion of the formal data collection. We will provide simple descriptive statistics of survey results, including subgroup analysis by age, sex, and hospital. We will also assess for correlation between questions.
Query!
Recruitment
Recruitment status
Not yet recruiting
Query!
Date of first participant enrolment
Anticipated
31/03/2021
Query!
Actual
Query!
Date of last participant enrolment
Anticipated
30/04/2021
Query!
Actual
Query!
Date of last data collection
Anticipated
30/04/2021
Query!
Actual
Query!
Sample size
Target
385
Query!
Accrual to date
Query!
Final
Query!
Recruitment in Australia
Recruitment state(s)
WA
Query!
Recruitment hospital [1]
18466
0
Fiona Stanley Hospital - Murdoch
Query!
Recruitment hospital [2]
18467
0
Sir Charles Gairdner Hospital - Nedlands
Query!
Recruitment hospital [3]
18468
0
Royal Perth Hospital - Perth
Query!
Recruitment postcode(s) [1]
32576
0
6150 - Murdoch
Query!
Recruitment postcode(s) [2]
32577
0
6009 - Nedlands
Query!
Recruitment postcode(s) [3]
32578
0
6000 - Perth
Query!
Funding & Sponsors
Funding source category [1]
307623
0
Other Collaborative groups
Query!
Name [1]
307623
0
Western Australian Health Translation Network
Query!
Address [1]
307623
0
Harry Perkins Institute of Medical Research
Level 6, 6 Verdun Street
NEDLANDS WA 6009
Query!
Country [1]
307623
0
Australia
Query!
Primary sponsor type
Individual
Query!
Name
Dr Jonathon Stewart
Query!
Address
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Query!
Country
Australia
Query!
Secondary sponsor category [1]
308311
0
Individual
Query!
Name [1]
308311
0
Prof Girish Dwivedi
Query!
Address [1]
308311
0
Harry Perkins Institute of Medical Research
5 Robin Warren Dr, Murdoch WA 6150
Query!
Country [1]
308311
0
Australia
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
307669
0
South Metropolitan Health Service Human Research Ethics Committee
Query!
Ethics committee address [1]
307669
0
South Metropolitan Health Service Executive Level 2, Education Building, Fiona Stanley Hospital 14 Barry Marshall Parade MURDOCH Western Australia 6150
Query!
Ethics committee country [1]
307669
0
Australia
Query!
Date submitted for ethics approval [1]
307669
0
11/08/2020
Query!
Approval date [1]
307669
0
02/10/2020
Query!
Ethics approval number [1]
307669
0
Query!
Summary
Brief summary
Aim: To provide descriptive statistics about Western Australian health consumers attitudes towards the use of artificial intelligence (AI) in their emergency care. Justification: Over the last decade a combination of exponential increases in computing power, the digitalisation of medical data, and advances in AI algorithms has led to a renaissance in AI research. There exists both optimism and excitement over the potential for AI to improve society, and valid apprehension and concerns over potential failings or malicious uses of AI. If current trends continue AI technologies are likely to improve over the coming years and become increasingly integrated into the practice of emergency medicine in the near future, resulting in increasing patient exposure to such technologies. There is currently no data about how patients in Western Australia accessing emergency care feel about the use of AI in their care. Project design: Cross sectional survey Methods: We will survey patients in three large emergency departments in Perth Western Australia to assess their attitudes and concerns towards the use of artificial intelligence in their emergency care. We have developed our survey input from emergency physicians, computer scientists, and consumers. We will survey around 385 patients in order to provide an accurate representation of the combined South Metro Health Service, North Metro Health Service, and East Metro Health Service catchment areas. Hypothesis 1. Health consumers will be supportive of AI in their emergency care 2. Health consumers will trust humans more than AI 3. Health consumers will be willing to interact with some form of AI Expected outcome: This survey will provide the first high quality data on West Australian health consumers attitudes towards the use of AI in their emergency care.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
108074
0
Dr Jonathon Stewart
Query!
Address
108074
0
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Query!
Country
108074
0
Australia
Query!
Phone
108074
0
+61 435211352
Query!
Fax
108074
0
Query!
Email
108074
0
[email protected]
Query!
Contact person for public queries
Name
108075
0
Jonathon Stewart
Query!
Address
108075
0
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Query!
Country
108075
0
Australia
Query!
Phone
108075
0
+61 435211352
Query!
Fax
108075
0
Query!
Email
108075
0
[email protected]
Query!
Contact person for scientific queries
Name
108076
0
Jonathon Stewart
Query!
Address
108076
0
The University of Western Australia
35 Stirling Hwy, Crawley WA 6009
Query!
Country
108076
0
Australia
Query!
Phone
108076
0
+61 435211352
Query!
Fax
108076
0
Query!
Email
108076
0
[email protected]
Query!
Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
Query!
No/undecided IPD sharing reason/comment
Query!
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.
Download to PDF