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Trial registered on ANZCTR
Registration number
ACTRN12625000448448p
Ethics application status
Submitted, not yet approved
Date submitted
16/04/2025
Date registered
13/05/2025
Date last updated
13/05/2025
Date data sharing statement initially provided
13/05/2025
Type of registration
Prospectively registered
Titles & IDs
Public title
A Mobile Phone App to Help Breast Cancer Patients Navigate Treatment Choices
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Scientific title
Development and Validation of a Mobile Decision-Support App for Personalized Breast Cancer Treatment Planning in newly diagnosed patients
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Secondary ID [1]
314220
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None
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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:
breast cancer
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Condition category
Condition code
Cancer
333560
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0
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Breast
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
This is a prospective, single-arm, interventional pilot study evaluating the use of a mobile phone application designed to support treatment planning for newly diagnosed breast cancer patients. The intervention involves providing participants with access to a decision-support app that generates personalized treatment recommendations based on user-entered clinical and pathological data, including tumor size, location, receptor status (Estrogen Receptor [ER], Progesterone Receptor [PR], Human Epidermal Growth Factor Receptor 2 [HER2]), nodal involvement, and patient demographics.
Participants will use the app at the time of diagnosis or treatment planning, entering their own clinical information (with assistance from a study coordinator if needed). The app will generate a personalized summary, which includes:
• Suitability for breast-conserving surgery
• Likelihood of requiring sentinel lymph node biopsy or axillary dissection
• Likelihood of needing neoadjuvant chemotherapy ± trastuzumab
• Predicted sequence of treatment (e.g., neoadjuvant vs. upfront surgery)
• Likelihood of requiring adjuvant therapies (chemotherapy, radiotherapy, endocrine therapy)
This summary is provided solely for informational purposes to assist patients in understanding potential treatment options. The app does not provide medical advice or replace clinical judgment, and treatment decisions remain under the direction of the multidisciplinary team (MDT). The app’s outputs will be compared to actual MDT decisions to assess concordance.
As participants only receive access to the app and its outputs by enrolling in this study, this will be considered a non-interventional study. The application summary is intended for informational purposes only and is not used for direct decision-making alongside the MDT.
Study Duration and Frequency:
The app will be used once at the time of diagnosis or treatment planning, with an expected duration of approximately 30-60 minutes for data entry and review.
Strategies to Assess Adherence:
Adherence to the intervention will be assessed using app analytics, including usage rates, time spent on the app, and completion of modules.
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Intervention code [1]
330842
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Diagnosis / Prognosis
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Comparator / control treatment
This study is a prospective interventional validation of a clinical decision-support tool. Participants will use a mobile application that generates personalized treatment recommendations, which will be compared against the treatment decisions made by the institution’s multidisciplinary team (MDT), representing the current standard of care.
The MDT decisions, guided by established clinical pathways and best practice guidelines (e.g., NCCN, ESMO, St Gallen), will serve as the reference standard for evaluating the predictive accuracy of the app.
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Control group
Active
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Outcomes
Primary outcome [1]
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Concordance between app-generated treatment recommendations and actual multidisciplinary team (MDT) treatment decisions
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Assessment method [1]
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Categorical agreement analysis using percentage concordance and kappa statistics
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Timepoint [1]
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At initial treatment planning (following diagnosis, prior to first definitive therapy)
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Secondary outcome [1]
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Usability
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Assessment method [1]
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For usability, the System Usability Scale (SUS) will be used to assess the app’s ease of use and user-friendliness.
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Timepoint [1]
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Immediately after app use
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Secondary outcome [2]
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Confidence in treatment decisions
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Assessment method [2]
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Decision confidence will be assessed using a Likert scale measuring patients’ confidence in their treatment decisions before and after using the app.
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Timepoint [2]
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Before and after app interaction
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Secondary outcome [3]
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Clinician feedback on the app’s clinical utility
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Assessment method [3]
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Structured feedback from clinicians will be collected using both semi-structured interviews and a validated tool. The System Usability Scale (SUS) and the Mobile App Rating Scale (MARS – Health Professional Version) will be used to quantitatively assess usability, functionality, and perceived value of the app in clinical decision-making. These tools are validated and widely used in digital health evaluation. Interviews will complement these instruments by providing qualitative insights into user experience, integration feasibility, and suggested improvements.
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Timepoint [3]
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During or at the end of study participation
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Secondary outcome [4]
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Accuracy of app prediction for suitability for breast-conserving surgery
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Assessment method [4]
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Comparison of app recommendation with MDT decision
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Timepoint [4]
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At time of MDT review
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Secondary outcome [5]
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Acceptability
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Assessment method [5]
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To assess the acceptability of the mobile decision-support app, open-ended qualitative feedback from patients will be collected through semi-structured, one-on-one, face-to-face interviews conducted by a trained member of the research team. These interviews will be scheduled following app use, during routine outpatient visits, and will explore patients’ experiences, perceptions, and suggestions regarding the app. A thematic analysis approach will be used to identify common themes and insights, guided by principles of qualitative research. This process will allow for an in-depth exploration of the app’s acceptability and potential barriers or facilitators to its implementation in clinical practice.
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Timepoint [5]
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Immediately after app use
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Secondary outcome [6]
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Understanding of treatment options
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Assessment method [6]
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Treatment understanding will be evaluated through a set of questions designed to gauge patients’ knowledge of their diagnosis and potential treatment options, both pre- and post-app use.
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Timepoint [6]
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Before and after app interaction
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Secondary outcome [7]
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Accuracy of app prediction for need for neoadjuvant chemotherapy
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Assessment method [7]
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Comparison of app recommendation with MDT decision
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Timepoint [7]
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At time of MDT review
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Secondary outcome [8]
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Accuracy of app prediction for suitability for adjuvant radiotherapy
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Assessment method [8]
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Comparison of app recommendation with MDT decision
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Timepoint [8]
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At time of MDT review
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Secondary outcome [9]
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Accuracy of app prediction for endocrine therapy recommendation
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Assessment method [9]
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Comparison of app recommendation with MDT decision
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Timepoint [9]
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At time of MDT review
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Secondary outcome [10]
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Accuracy of app prediction for HER2-targeted therapy recommendation
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Assessment method [10]
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Comparison of app recommendation with MDT decision
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Timepoint [10]
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At time of MDT review
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Secondary outcome [11]
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Accuracy of app prediction for chemotherapy recommendation
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Assessment method [11]
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Comparison of app recommendation with MDT decision
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Timepoint [11]
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At time of MDT review
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Eligibility
Key inclusion criteria
Participants must meet all of the following criteria:
For patients:
Aged 18 years or older
Newly diagnosed with invasive breast cancer (any histologic subtype)
Planned for treatment with curative intent within a multidisciplinary team setting
Able to provide informed consent
Have access to a smartphone or tablet device
Able to read and understand English (or the language in which the app is available)
For clinicians:
Involved in the care of breast cancer patients within the participating multidisciplinary team
Have used or reviewed the decision-support app as part of the study
Willing and able to provide feedback through interviews or surveys
Able to provide informed consent
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Females
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Can healthy volunteers participate?
Yes
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Key exclusion criteria
Participants will be excluded if they meet any of the following criteria:
For patients:
Diagnosis of non-invasive breast cancer only (e.g., ductal carcinoma in situ [DCIS] without an invasive component)
Evidence of metastatic (stage IV) breast cancer at diagnosis
Enrolled in another clinical trial that could influence treatment planning
Cognitive impairment or other condition affecting the ability to use the app or provide informed consent
No access to mobile technology or a reliable internet connection
For clinicians:
There are no specific exclusion criteria for clinicians participating in the feedback component of the study.
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Study design
Purpose of the study
Educational / counselling / training
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Allocation to intervention
Non-randomised 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
The primary analysis will assess concordance between treatment recommendations generated by the mobile decision-support app and actual decisions made by the multidisciplinary team (MDT).
Primary Analysis:
• Concordance will be assessed using:
• Percentage agreement (simple match rate between app prediction and MDT decision)
• Cohen’s kappa statistic to account for chance agreement
• This will be calculated separately for:
• Surgical approach (e.g., breast-conserving surgery vs. mastectomy)
• Axillary management (e.g., sentinel lymph node biopsy vs. axillary clearance)
• Use of neoadjuvant chemotherapy
• Adjuvant therapy components (chemotherapy, radiotherapy, endocrine therapy)
Secondary Analyses:
• Usability and patient-reported acceptability will be summarized using descriptive statistics (means, medians, proportions), and visualized using bar graphs or Likert distributions.
• Change in patient confidence/understanding pre- and post-app use will be assessed using paired t-tests or Wilcoxon signed-rank tests, depending on data normality.
• Clinician feedback will be analyzed descriptively and supplemented by thematic analysis for qualitative open-ended responses.
• Predictive accuracy of the app’s algorithm for individual treatment decisions will be evaluated using:
• Sensitivity
• Specificity
• Positive Predictive Value (PPV)
• Negative Predictive Value (NPV)
Sample Size Justification:
This is a pilot validation study, targeting ~100 patients. This sample size is expected to allow preliminary estimation of concordance rates with acceptable confidence intervals, and to inform future powered studies.
All statistical analyses will be performed using SPSS, Stata, or R, and a significance level of p < 0.05 will be considered statistically significant.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
1/06/2025
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Actual
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Date of last participant enrolment
Anticipated
1/01/2026
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Actual
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Date of last data collection
Anticipated
1/06/2026
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Actual
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Sample size
Target
100
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
NSW
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Recruitment hospital [1]
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Chris O’Brien Lifehouse - Camperdown
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Recruitment postcode(s) [1]
43976
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2050 - Camperdown
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Funding & Sponsors
Funding source category [1]
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Self funded/Unfunded
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Name [1]
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Address [1]
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Country [1]
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Primary sponsor type
Hospital
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Name
Chris O'Brien Lifehouse
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Address
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
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Address [1]
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Country [1]
321173
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Ethics approval
Ethics application status
Submitted, not yet approved
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Ethics committee name [1]
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Sydney Local Health District Ethics Review Committee (RPAH Zone)
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Ethics committee address [1]
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https://www.slhd.nsw.gov.au/rpa/research/
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Ethics committee country [1]
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Australia
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Date submitted for ethics approval [1]
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16/04/2025
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Approval date [1]
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Ethics approval number [1]
317350
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Summary
Brief summary
This study aims to develop and validate a mobile phone application designed to guide newly diagnosed breast cancer- patients through their treatment options using a personalized, data-driven approach. Who is it for? Ou may be eligible to participate in this study if you are a female aged 18 or over, newly diagnosed with invasive breast cancer or DCIS and have access to a mobile device. Study details All participants who meet the eligibility criteria in this study will be guided by study coordinator through the app interface, input information in to the application include; age, tumour size/location, receptor status, nodal status, etc. The App will generated treatment suggestions compared to actual MDT recommendations. Participants will be asked to complete surveys assessing understanding, anxiety, decision confidence, and usability after use. It is hoped that by creating an intuitive, user-friendly tool aligned with international guidelines (e.g., NCCN, ESMO, St Gallen), this study seeks to improve patient empowerment, reduce decisional conflict, and enhance engagement with 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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A/Prof Cindy Mak
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Address
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Department of Breast Surgery, 119-143 Missenden Rd, Camperdown NSW 2050
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Country
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Australia
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Phone
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+61 2 8514 0000
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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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Chu Luan Nguyen
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Address
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Department of Breast Surgery, 119-143 Missenden Rd, Camperdown NSW 2050
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Country
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Australia
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Phone
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+61 2 8514 0000
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
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Chu Luan Nguyen
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Address
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Department of Breast Surgery, 119-143 Missenden Rd, Camperdown NSW 2050
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Country
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Australia
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Phone
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+61 2 8514 0000
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Fax
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Email
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[email protected]
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Data sharing statement
Will the study consider sharing individual participant data?
No
No IPD sharing reason/comment:
No, individual participant data will not be shared in this study. We are committed to protecting the privacy and confidentiality of all participants. Data collected during the study will be used solely for research purposes and will be kept securely. In addition, any results published will be presented in a way that ensures no personal information is identifiable
What supporting documents are/will be available?
No Supporting Document Provided
Current supporting documents:
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
24634
Study protocol
Development and Validation of a Mobile Decision-Support App for Personalized Breast Cancer Treatment Planning_PROTOCOL_v1.docx
Updated to:
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
24634
Study protocol
Development and Validation of a Mobile Decision-Support App for Personalized Breast Cancer Treatment Planning_PROTOCOL_v1.docx
24773
Study protocol
A Hybrid Decision Aid Chatbot Combining Decision Logic and Large Language Model for Personalised Breast Cancer Treatment Planning_PROTOCOL_v1_25052025.docx
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