Trial Review

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Trial registered on ANZCTR


Registration number
ACTRN12625000705482
Ethics application status
Approved
Date submitted
12/06/2025
Date registered
3/07/2025
Date last updated
3/07/2025
Date data sharing statement initially provided
3/07/2025
Type of registration
Prospectively registered

Titles & IDs
Public title
A novel approach to partnering with family carers in the prevention of delirium.
Scientific title
A novel approach to partnering with family carers in the prevention of delirium: The Prevention & Early Delirium Identification Carer Toolkit (PREDICT)
Secondary ID [1] 313955 0
Grant number PRC2 2032751
Universal Trial Number (UTN)
UTN: U1111-1314-4513
Trial acronym
PREDICT
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Delirium 336665 0
Condition category
Condition code
Public Health 333162 333162 0 0
Health service research
Neurological 333161 333161 0 0
Other neurological disorders

Intervention/exposure
Study type
Interventional
Description of intervention(s) / exposure
Brief name: PREDICT model of care
This study evaluates an evidence-based intervention, PREDICT (Prevention & Early Delirium Identification Carer Toolkit) (Aggar, et al.2023). PREDICT is a scalable, low risk model of care supporting partnerships with carers in the prevention of delirium for hospitalised older Australians. PREDICT offers a practical but transformative person-centred approach to delirium prevention and risk assessment, in addition to supporting carer wellbeing. It supports carer-healthcare staff partnerships by integrating carers into the care team at admission and ensuring carers: (i) are acquainted with PREDICT and encouraged to engage with its resource during the patient’s hospital stay; (ii) complete a 7-item psychometrically tested screening tool (Shulman, et al. 2016) designed for non-healthcare professionals to identify people at risk of delirium and implement delirium prevention strategies; (iii) access the comprehensive multimedia delirium education package to build awareness and skill development (visually representing a diversity of backgrounds and relational dynamics, inclusive of same-sex partnerships); (iv) access support resources (e.g., counselling, social prescriptions, peer-support) to sustain carer wellbeing; and (v) participate actively in co-designing a patient-specific discharge plan.

The intervention involves access to PREDICT (Prevention & Early Delirium Identification Carer Toolkit) website/app and pre intervention education for healthcare staff.

PREDICT is designed to engage and support carers in the identification and management of delirium. PREDICT includes an education resource in hard copy or online, application (app) and/or website, detailing preventive strategies, risk factors, and non-pharmacological interventions for older adults who experience delirium, and a screening tool designed to support carers identify delirium symptoms and patients at risk of delirium. PREDICT also provides resources to support carers experiencing caregiving burden and carer psychological distress. PREDICT has been codesigned and validated with academic, clinician, and consumer expertise. It has also been assessed for suitability for delivery to carers from non-English speaking backgrounds and LGBTQ+ carers.

Healthcare staff education
Education sessions will be provided to healthcare staff in participating wards during regular in-service education. These sessions will be provided at regular scheduled times and locations for in-service at each site. All healthcare staff who usually attend these in-service sessions will be eligible, including RNs, ENs, and allied healthcare staff. Staff do not need to agree to participate in the evaluation to receive education and access the PREDICT.
Healthcare staff will attend PREDICT education for 60 minutes (30 minutes face to face and 30 mins online). These education sessions will occur during the control phase for each cluster, as close as possible to the intervention phase. This is necessary to ensure that healthcare staff education can be completed in time for implementation, while restricting risks of contamination of the control phase. The face-to-face education sessions will be held daily in the 2–3-week period leading up to implementation start date. Following the completion of Module 1 , Module 2 , (The Podcast), will be emailed to the participants as a second part of the education for them to complete prior to the implementation start date.
Module 1 Education will be face to face and will include the revision of delirium, an introduction to PREDICT and model of care, information about the study and the healthcare workers role in supporting PREDICT. The educational resources used in this study are a combination of peer reviewed resource readily available and have not been newly developed. The materials are based on the following established sources:
Australian Delirium Clinical Care Standard (2021)Published by the Australian Commission on Safety and Quality in Health Care, this standard provides evidence-based guidance for the prevention, recognition, and management of delirium across healthcare settings. Source: https://www.safetyandquality.gov.au/standards/clinical-care-standards/delirium-clinical-care-standard.
Module 2 Education The Podcast we will review four peer-reviewed articles that explore key aspects of delirium care from the perspectives of nurses, carers, a case study, and the use of the 4AT delirium screening tool. These articles are sourced from reputable academic journals and databases.
• Marcantonio, E. R. (2012). Postoperative Delirium: A 76-Year-Old Woman With Delirium Following Surgery. JAMA?: The Journal of the American Medical Association, 308(1), 73–81. https://doi.org/10.1001/jama.2012.6857
• Assa, A. H., Wicks, M. N., & Umberger, R. A. (2021). Family Caregivers' Experience of Patients With Delirium in Critical Care Units: A State-of-the-Science Integrative Review. American journal of critical care : an official publication, American Association of Critical-Care Nurses, 30(6), 471–478. https://doi.org/10.4037/ajcc2021394
• Penfold, R. S., Farrow, L., Hall, A. J., Clement, N. D., Ward, K., Donaldson, L., Johansen, A., Duckworth, A. D., Anand, A., Hall, D. E., Guthrie, B., & MacLullich, A. M. J. (2025). Delirium on presentation with a hip fracture is associated with adverse outcomes : a multicentre observational study of 18,040 patients using national clinical registry data. The bone & joint journal, 107-B(4), 470–478. https://doi.org/10.1302/0301-620X.107B4.BJJ-2024-1164.R1
• Fox, A., Johnston, S., Wyles, K., Patterson, S., Bail, K., Hutt, L., Keogh, S. and Beattie, E. (2025), Perceptions and Practices of Clinicians Undertaking Invasive Procedures With Patients Experiencing Delirium in Hospital: A Sequential Mixed Methods Study. Nurs Health Sci., 27: e70154. https://doi.org/10.1111/nhs.70154
• Australian Commission on Safety and Quality in Health Care. (2021). Delirium clinical care standard. https://www.safetyandquality.gov.au/publications-and-resources/resource-library/delirium-clinical-care-standard-2021
Successful implementation of healthcare staff education will be defined as achievement of 80% of eligible healthcare staff in participating wards completing the education modules; this is the benchmark used in auditing. The CNC/Es providing the education will track attendance and completion.
Education sessions will be delivered at each site by the Clinical Nurse Consultants or Clinical Nurse Educators (CNC/Es). Clinical Nurse Consultants (CNCs) are Registered Nurses with a minimum level of post-registration experience and approved post-registration qualifications and are senior members of nursing staff. Clinical Nurse Educators (CNEs) are Registered Nurses who hold relevant clinical or education post registration qualifications or appropriate experience, with their primary role being to deliver and evaluate clinical education programs at the ward/unit level.
CNC/Es will be trained prior to delivering these sessions by the Implementation Site Lead (ISL) for the relevant health district. The ISL will be a Registered Nurse at Clinical Nurse Consultant or Clinical Nurse Specialist level of qualifications and experience, employed at 1.0 FTE. This train-the-trainer approach will help to ensure standardised education across sites, while allowing ongoing support for healthcare staff throughout the intervention.
Healthcare staff will be provided with access to PREDICT at this initial information session. Access to PREDICT is via QR code or direct weblink, provided to healthcare staff at the first education session. The PREDICT website is protected by a password to prevent it being accessed by sites during the control period; healthcare staff will be provided with the password at the first education session.
Although there is a small possibility of individual healthcare staff being exposed to the intervention or related information through cross-institutional employment or involvement in communities of practice, this will be controlled using cluster randomisation at the district, rather than hospital, level. Therefore, the likelihood of contamination of the control phase in this way is considered very small and its likely impact on results negligible.
During the intervention period, healthcare staff will have ongoing weekly support relating to PREDICT through their regular in-service education and stand-up meetings at commencement of shifts. They will also be encouraged to discuss any questions and concerns with the CNC/E at their site. This regular communication will ensure that the healthcare staff are equipped to answer questions the carer may have regarding PREDICT, including the delirium screening tool and the study questionnaire.

Carer engagement and access to PREDICT
a) Total Duration of the Intervention for Carers: Carers will have access to the PREDICT online platform for a total duration of 6 month intervention.
b) Frequency of the Intervention: There is no fixed frequency for the intervention. Carers will be introduced to the platform during admission and orientation, after which they may freely access the website at any time based on their individual needs and preferences.
c) Summary of the Content of the Training/Modules for Carers:Carers will not receive formal training. Instead, they will be oriented to the online platform, which contains educational materials designed to support their understanding of delirium care prevention and management.
Carers will be provided with access to PREDICT as part of the admissions process, within 24 hours of arrival, by the healthcare staff completing admission. Healthcare staff will log dissemination of PREDICT to eligible carers using the project register. As with healthcare staff, carers will be able to access PREDICT and project materials in hard copy but will be encouraged to access materials and complete the trial measures online. The online version of PREDICT will be accessed using a QR code or direct weblink, provided to carers on admission. The PREDICT website is protected by a password to prevent it being accessed by sites during their control period; carers will be provided with the password on admission. Carers do not need to agree to participate in the evaluation to receive access to or use PREDICT.
While carers may have some exposure to PREDICT prior to completing the baseline measures, through access to the hard copy or online materials, this will be negligible compared with the intensive exposure expected during the admission event.
Whilst the patient is in hospital, carers will be encouraged daily or as necessary (by healthcare staff) to complete the delirium screening tool (Shulman et al., 2016). The delirium screening tool is a 7-item psychometrically tested tool (Shulman et al., 2016) suitable to be completed by informal or untrained carer observation for delirium in older adults, including those with dementia. The delirium screening tool addresses features of delirium, including altered awareness and attention, fluctuation of mood, disordered thinking and behaviour, impaired eating or drinking, and difficulties with mobility (Shulman et al., 2016). A maximum score of 18, with a cut-off score of 4 or greater indicates delirium. Carers will be asked to advise healthcare staff on the unit if a score of 4 or more is obtained, or if they are concerned about their loved one.

Face to face adherence reminders will be provided to healthcare staff in weekly in-service education sessions and stand-up meetings (known to most healthcare staff as “huddles”) by the CNC/Es. Healthcare staff will have the regular and ongoing opportunity to ask questions and seek clarifications around the intervention and the study and key messages from the education sessions will be reviewed as needed. Healthcare staff education will be provided during usual Continuing Professional Development/ healthcare staff education times and in the usual manner/s to minimise additional load. Provision of PREDICT will be integrated into usual procedures, with ward champions supporting dissemination of PREDICT and logging in the project register.
An experienced nurse will be employed at each site (health district/ cluster) to liaise, audit, monitor, provide feedback, ensure clinical research credibility, and enforce the intervention for 2 months pre, 6 months during and 4 months post intervention. This level of support will help to ensure high levels of uptake of the intervention and embedding in routine clinical care.
The embedded process evaluation uses the Re-AIM framework and includes outcome measures relating to adherence. This includes carer referral to PREDICT by the healthcare staff completing admission and staff and carers accessing the Toolkit.

A stepped wedge cluster randomised controlled trial, consisting of a cohort study and healthcare service evaluation, complemented by an integrated process evaluation.
The study is to take place in four Australian Healthcare Services across New South Wales, Queensland, and the Australian Capital Territory and involve a range of acute wards (n=34) across 8 hospitals. Participating wards will be nominated by the hospitals. These can include any wards providing acute or subacute inpatient care to adults, including general medical and surgical wards, but excluding Emergency Departments (ED) and Intensive Care Units (ICU). These wards are excluded from the main component of this study because the intensity and pace of these environments requires adaptations to implementation that are not feasible within the scope of this study. Carers for older adults and healthcare staff providing direct care to older adults in participating hospital wards will be recruited. Older adults receiving care in hospital will not be individual participants receiving the intervention; however, health service outcomes will be measured using patient data from standard medical records.

Randomisation will be at the level of the health district. The SW-cRCT design involves a sequential rollover of the intervention at four health district clusters that begin in the control condition (baseline data collection) and sequentially receive the intervention at 1-month intervals. Each cluster will experience a 6-month control, a 6-month active intervention, and 2-month post-intervention follow-up period. The four health district clusters will be randomised to one of the four dates to cross-over from control phase to implementation phase until all healthcare services have been exposed to the intervention. This SW-cRCT will be implemented in all participating healthcare services within 18 months.
References
Aggar, C., Craswell, A., Bail, K., Compton, R., Hughes, M., Sorwar, G., Baker, J., Shinners, L., & Greenhill, J. (2023). Partnering with carers in the management of delirium in general acute care settings: An integrative review. Australas J Ageing, 42(4), 638-648. https://doi.org/10.1111/ajag.13229
Shulman RW, Kalra S, Jiang JZ. Validation of the Sour Seven Questionnaire for screening delirium in hospitalized seniors by informal caregivers and untrained nurses (2016); BMC Geriatrics. 16(43):44-.
Intervention code [1] 330545 0
Early detection / Screening
Intervention code [2] 330547 0
Treatment: Other
Intervention code [3] 330546 0
Prevention
Comparator / control treatment
Active control in the form of usual care will be used at each site until exposure to the intervention. Usual care is defined as the medical, nursing, social, and other care and support that is provided under usual conditions in each hospital environment, without exposure to the PREDICT intervention. This may or may not include provision of patient, carer, or nurse information/ education about delirium identification and management. Existing information may take a range of forms, is not standardised across hospitals, and may not be proactively provided to patients or carers. This non-standardised, ad-hoc and localised approach to delirium knowledge and management contributes to variable patient and carer outcomes. However, as this is the existing standard of care, participation in the study under the control condition provides no additional risks to those experienced under usual hospital care.
This form of control condition allows for evaluation of the PREDICT intervention compared with usual approaches to nurse-carer partnership, information/ education, and delirium management in each hospital environment.
PREDICT is not currently publicly searchable and will not be available to the general public or to healthcare staff not involved in the intervention phase of the study, until healthcare staff education commences for that site.
As the comparator is usual care, any forms of care, support, and intervention that would usually be provided will be permitted during both the control and intervention phases. Other trial or new-to-site interventions with delirium as the major focus will be prohibited during the study.
Control group
Active

Outcomes
Primary outcome [1] 341880 0
Delirium knowledge for carers
Timepoint [1] 341880 0
Carers will complete the questionnaire twice: once upon arrival at the hospital with their family member, before accessing the PREDICT website information, and again 4–6 weeks after the patient is discharged.
Primary outcome [2] 340733 0
Delirium knowledge for healthcare staff
Timepoint [2] 340733 0
Healthcare staff have two timepoints; post-completion of education sessions (prior to intervention) and post-completion of 6-month intervention period
Secondary outcome [1] 444884 0
Incidence of hospital-acquired delirium.
Timepoint [1] 444884 0
Data extracted at 1 month after control period and at 2 months after intervention period, measured as rate of new cases of delirium expressed per 1000 bed days.
Secondary outcome [2] 444885 0
Length of hospital stay
Timepoint [2] 444885 0
Data extracted at 1 month after control period and at 2 months after intervention period.
Secondary outcome [3] 444886 0
28-day readmission rates
Timepoint [3] 444886 0
Data extracted at 1 month after control period and at 2 months after intervention period.
Secondary outcome [4] 444883 0
Carers’ psychological distress
Timepoint [4] 444883 0
Carers will complete the questionnaire twice: once upon arrival at the hospital with their family member, before accessing the PREDICT website information, and again 4–6 weeks after the patient is discharged.
Secondary outcome [5] 444888 0
Cost of preventing each case of delirium during hospital stays
Timepoint [5] 444888 0
Data extracted at 1 month after control period and at 2 months after intervention period.
Secondary outcome [6] 444887 0
Scalability and feasibility of model implementation, this will be assessed as a composite outcome
Timepoint [6] 444887 0
From commencement of intervention through to 3 month follow up. as a composite outcome

Eligibility
Key inclusion criteria
Participating wards
Nominated by the hospitals. These can include any wards providing acute or subacute inpatient care to adults, including general medical and surgical wards.

Carers: included if they
• Are aged 18 years or older
• Are providing care or support for someone 65 years or over, or 45 years and over for an Aboriginal or Torres Strait Islander person, who is receiving care in hospital
• Can report on and identify changes in the patient’s mental and physical abilities and
• Can maintain regular contact (in-person, virtually, or by telephone) with the patient during hospitalisation.
Nominated carers may include any key personal contact such as partners, family members, friends and neighbours who are nominated as “Next of Kin” or listed/ nominated contact at admission. This approach ensures that while patient-carer dyads are not recruited, the carers involved have been nominated by or with the knowledge of the patients concerned. Carers of patients admitted with delirium (i.e. having developed delirium prior to admission) will be eligible to participate, as the Toolkit supports early management strategies and future prevention as well as identification.
Carers involved in other trials, or carers of patients involved in other trials, will be eligible to participate if the other trial/s in which they are involved do not have delirium as a major focus. Plans at discharge (i.e. discharge to home, RACF, etc) do not affect eligibility.

Healthcare staff: included if they are routinely involved in patient care on participating wards, such as physiotherapists, nurses and medical officers. Hospital staff who are not routinely involved in direct patient care will be excluded from the study.

Minimum age
18 Years
Maximum age
No limit
Sex
Both males and females
Can healthy volunteers participate?
Yes
Key exclusion criteria
Carer: will not be eligible to participate if
• the older adult they support is receiving end-of-life care
• they, or the patient they are supporting, are involved in another trial which has delirium as a major focus.
Healthcare staff: will be included if they are routinely involved in patient care on participating wards, such as nurses, care workers, allied health and medical officers. Hospital staff who are not routinely involved in direct patient care will be excluded from the study.
Wards: excluding Emergency Departments (ED) and Intensive Care Units (ICU). These wards are excluded from the main component of this study because the intensity and pace of these environments requires unique adaptations to implementation that are not feasible within the scope of this study.

Study design
Purpose of the study
Prevention
Allocation to intervention
Randomised controlled trial
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Allocation is not concealed
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Simple randomisation using a randomisation table created by computer software.
The order in which clusters transition from control to intervention will be determined by a randomisation sequence generated by the Program Manager. This sequence will remain confidential until four weeks before the intervention begins at each site.
Masking / blinding
Open (masking not used)
Who is / are masked / blinded?



Intervention assignment
Other
Other design features
When each cluster will crossover to the intervention.
Phase
Not Applicable
Type of endpoint/s
Efficacy
Statistical methods / analysis
Cohort Study
Carer
The primary outcome for carers is the change in delirium knowledge and the secondary outcomes include caregiving distress. The baseline data will be collected at admission and then followed up 4-6 weeks after discharge during the intervention period.
These outcomes will be analysed using linear mixed effects models that include a fixed effect of time, fixed effect of district and interaction between time and district to assess potential differences between districts. Since PREDICT will be available to all eligible carers of patients at risk of delirium, the total potential sample size is large, exceeding 275 carer-patient dyads per healthcare service per month. This number is based on Australian Institute of Health and Welfare (2023) annual admission data for participating hospitals and the Australian Bureau of Statistics (2022) estimation, that carers make up nearly 11.9% of Australia’s population.
Pilot data indicate that PREDICT was associated with a large increase in delirium knowledge (Cohen’s f > 0.4). However, to adopt a more conservative approach, we assume:
• A medium effect size (Cohen’s f = 0.25),
• A 20% dropout rate,
• A pre-post correlation of 0.3,
• A 5% significance level and 80% statistical power.
Under these conditions, the minimum required sample size is 58 participants. However, if we include interactions between time and district, the sample size may need to increase fourfold (Wiley & Rapp, 2018) to at least 232 carers.
Healthcare staff
The analysis for healthcare staff follows a similar approach, with the primary outcome being delirium knowledge. This will be modelled using a linear mixed-effects model, comparing pre-education scores to those at 4–6 weeks post-intervention. Assuming the same parameters as the carers it can be said that the minimum required sample size for health staff should be least 232 staff.
In conclusion, the large pool of carers (n > 700) and staff (n > 500) should ensure the cohort study is more than sufficiently powered for detecting change in the primary outcome of delirium knowledge post-intervention while allowing for more complex analyses such as interactions with district and exploratory analyses with other covariates such as age, sex, healthcare profession type, etc.
Healthcare Service Evaluation
The health service evaluation primary outcome for the is the incidence of delirium per 1000 bed days. Secondary outcomes include the length of stay for patients who develop delirium and 28-day readmission rates. These outcomes will be tracked monthly six months prior to the intervention and then six months after the intervention. Due to staggered entry of services, the months will be relative to the intervention start dates which will be coded month = 0 and months prior to the intervention will be coded from -1, to -6 whereas months after the intervention will be coded 0, 1, 2, etc. The trends in outcomes before and after the intervention will be modelled using an interrupted time series (ITS) methodology. Specifically, these will be specified as segmented generalised linear models (GLM) and will include:
• A fixed effect of time to account for underlying temporal trends;
• A time-dependent intervention effect to assess the level change due to the intervention;
• An interaction term between time and intervention to assess the change in slope in the outcomes after the intervention;
• A fixed effect of district to compare any differences in outcomes across services that could be due to different delirium methodologies;
• A possible interaction between time, district and intervention to assess any slope differences between services.
Each outcome will be analysed using the appropriate distributional family and link function as such as Poisson family with a log link for the incidence of delirium with bed days as the offset, length of stay using a Gaussian family with identity link and 28-day readmissions will be analysed treated as a count and analysed in a similar manner to incidence of delirium.
Based on prior recommendations from the literature (Reeves et al., 2011; Reeves et al., 2017; Zhang et al., 2011), equally spaced time points of 6 months pre and post intervention should generally be sufficient specifically considering the large number of patient records available per month. We ran Monte Carlo simulations of these models in R based on findings by Inouye (1999) where the control group had a proportion delirium of 15% and an intervention of 9.9%. These simulations had shown that for the intervention effect the current study with an average of 903 patients per month will be sufficiently powered above 90%. Details of the simulation have been provided in the ethics application uploads.
Process Evaluation
Quality of care process, healthcare staff initiation of delirium care, carer-identified delirium, use of discharge plan, and stakeholder experiences of the intervention will be explored through staff and carer interviews/ focus groups.
Focus groups and interviews will use a standard semi-structured schedule and will be conducted by the Implementation Site Lead (ISL) at each site. This ISL will be a registered nurse at CNC level with appropriate research experience. Additional training for ISLs will be provided as required. Focus group and interview schedules will be prepared by the Project Research Assistant in collaboration with the Investigator Committee and will be approved by the Steering Committee. Five carers per ward (interview) and five healthcare staff (focus group) per ward will be included for both initial and 3-month follow-up interviews/ focus groups.
Qualitative data will be analysed by at least two researchers independently to identify patterns and themes from the interviews and focus groups. Reflexive thematic analysis (Braun and Clark, 2019) will be used to analysis the data and managed in NVivo 12. Finalisation of themes will be completed by the research team. Quotes and narratives will be used to illustrate key themes, ensuring participants' voices are central to the findings. The project will use the theoretical framework of Patient-Oriented Research (POR) that facilitates research performed in partnership with carers, healthcare teams and community organisations (Bell et al. 2019).

Recruitment
Recruitment status
Not yet recruiting
Date of first participant enrolment
Anticipated
1/12/2025
Actual
Date of last participant enrolment
Anticipated
30/08/2026
Actual
Date of last data collection
Anticipated
15/10/2026
Actual
Sample size
Target
5418
Accrual to date
Final
Recruitment in Australia
Recruitment state(s)
ACT,NSW,QLD

Funding & Sponsors
Funding source category [1] 318451 0
Government body
Name [1] 318451 0
National Health and Medical Research Council
Country [1] 318451 0
Australia
Primary sponsor type
University
Name
Southern Cross University
Address
Country
Australia
Secondary sponsor category [1] 320847 0
None
Name [1] 320847 0
Address [1] 320847 0
Country [1] 320847 0

Ethics approval
Ethics application status
Approved
Ethics committee name [1] 317067 0
Metro North Health Human Research Ethics Committee A
Ethics committee address [1] 317067 0
Ethics committee country [1] 317067 0
Australia
Date submitted for ethics approval [1] 317067 0
08/04/2025
Approval date [1] 317067 0
10/06/2025
Ethics approval number [1] 317067 0
HREC/2025/MNH/117312

Summary
Brief summary
Trial website
Trial related presentations / publications
Public notes

Contacts
Principal investigator
Name 139890 0
A/Prof Christina Aggar
Address 139890 0
Faculty of Health, Southern Cross University, Southern Cross Drive, Bilinga, QLD, 4225 Australia
Country 139890 0
Australia
Phone 139890 0
+61 414754705
Fax 139890 0
Email 139890 0
[email protected]
Contact person for public queries
Name 139891 0
Christina Aggar
Address 139891 0
Faculty of Health, Southern Cross University, Southern Cross Drive, Bilinga, QLD, 4225 Australia
Country 139891 0
Australia
Phone 139891 0
+61 414754705
Fax 139891 0
Email 139891 0
[email protected]
Contact person for scientific queries
Name 139892 0
Christina Aggar
Address 139892 0
Faculty of Health, Southern Cross University, Southern Cross Drive, Bilinga, QLD, 4225 Australia
Country 139892 0
Australia
Phone 139892 0
+61 414754705
Fax 139892 0
Email 139892 0
[email protected]

Data sharing statement
Will the study consider sharing individual participant data?
No


What supporting documents are/will be available?

TypeCitationLinkEmailOther DetailsAttachment
Study protocol  [email protected]
Ethical approval  [email protected] Approval letter 117312 HREC Approval Ltr - 10.06.2025 .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.