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NCT Number: NCT07795879

The Genetics Update

Genomic sequencing (GS) can reveal thousands of genetic variants in each patient. As our understanding of these variants evolves, some may be reclassified, which could have significant implications for a patient's health. However, notifying patients about these changes is challenging and can lead to delays in their care. Patients often feel anxious while waiting for updates, especially when they know their results might change but aren't sure when or how it will affect them. To address this, a new study aims to develop and test a digital platform called "The Genetics Update." This platform will help keep patients informed about their genomic results in a timely manner, potentially reducing the stress and uncertainty that many experience. The study will compare this new approach to the traditional methods of providing updates, such as genetic counseling sessions and letters, to see which is more effective at reducing patient distress. As the use of genomic sequencing continues to grow, finding better ways to communicate updates will become increasingly important.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Mount Sinai Hospital, Toronto, Toronto, Ontario, Canada

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About this study

Genomic sequencing (GS) is a driver of precision medicine: Clinicians are using GS for precision medicine, to diagnose patients and tailor recommendations about their medical care. Germline GS offers increased sensitivity over classic genetic tests, decreasing time-consuming and costly diagnostic cascades.

Genomic test results can change over time: Variants are classified as pathogenic (P), likely pathogenic (LP), VUS, likely benign (LB), or benign (B) per guidelines. However, the evidence on variants in disease changes constantly. Over time, laboratories reanalyze variants and genes, taking into new evidence and updated standards for interpretation.4 Reanalysis may result in a variant being reclassified (e.g. from VUS to P, or LB to B). On average, reclassification takes between 6 months and 2 years after a variant is first identified.5 Ideally, people with reclassified variants should be recontacted as soon as possible within this time frame. Among cancer genes, as many as 38% of reanalyzed variants are reclassified, and this rate can be as high as 43% among VUS. Up to 25% of VUS are reclassified as LP/P, and the remaining 75% downgraded to LB/B. In the context of cancer, such reclassifications have the potential to bring relief to a patient with a VUS, or to indicate their need for more urgent care and/or a refined treatment pathway.

Reclassification can affect patients' care: Identification of novel genomic changes, discovery of novel gene-disease associations, and/or variant reclassifications, (e.g. changes to or from LP/P) can trigger significant changes to patients' management. These changes can include altered frequency and/or types of surveillance, modified surgical recommendations, cascade testing for relatives or removal from a clinical trial. Even reclassifications that typically will not modify management, such as from VUS to LB/B, have the potential to relieve patient and provider uncertainty, and to reduce the risk of inappropriate actions being taken on the basis of the VUS. All of these changes in care depend on timely awareness of the patient (and/or) provider of the reclassification and its implications, particularly when updated genomic results are expected to impact clinical management; all of which are reinforced by international guidelines.

Cancer is the most common condition for which patients will need to be recontacted: Oncologists use tumour and germline GS to identify therapies, and improve diagnosis and management. And as its cost decreases, GS is expected to replace single gene or multigene panel testing as standard of care.

Patients want to be recontacted but waiting for updates causes patient distress: Internationally, patients and providers agree that recontact is desirable, though practically challenging. Patients value reanalysis of their genomic results over time and want to be recontacted with updates to their genomic results, even those with no impact on their medical care. Some cancer patients have been found to experience intrusive thoughts and worry about their genetic cancer risk while waiting for genetic results. Patients who receive VUS report elevated genetic-test specific distress; waiting for updates about VUS may result in further distress. Patients who are recontacted have been found to experience relief from both upgraded and downgraded results, and have been found not to experience distress or reduced trust in medical genetics. Innovative approaches are needed to feasibly recontact patients to deliver updates.

Recontact poses health service delivery challenges: There are high resource impacts for clinicians to recontact patients, which will grow as the scope and volume of possible updates increases. The greatest obstacles include the time and resources required to identify patients whose results have been reclassified, maintain up-to-date contact information or track patients who have moved, consult with patients to deliver updated results, counsel patients about their results' implications and support patients' needs while they wait for their results or after they have received updates, all of which can impact providers' capacity to see new patients. Consequently, recontact practices vary between clinics; in some cases, patients are not recontacted with updated results, and they may not follow their providers' request to call and ask about updates. Approaches to recontact include registries or mailed letters. Neither is scalable or sustainable, and may miss a substantial proportion of patients. Without systematic practices, inequities can arise in information provision and health outcomes. Ultimately, this is a growing service delivery issue: with thousands of patients receiving genetic testing yearly in Ontario alone, the burden of recontacting patients with reinterpreted results is substantial. Genetics services are challenged to meet current demands; the added burden of recontacting patients is infeasible. New service delivery models are urgently needed.

Virtual care is now the norm: The COVID-19 pandemic catalyzed a rapid shift toward virtual healthcare delivery to in order to minimize interruptions in access to care. Digital health applications, such as patient platforms, are increasingly used across the continuum of genetics and genomics service delivery. Digital tools have been found to improve knowledge, reduce clinician time, and promote patient-centered care.

Digital platforms could deliver updates to patients' genomic results over time: Some Ontario hospitals and networks allow patients the option to access their results online. Platforms provide patients with timely access to, and control over their health information, increasing efficiency of service delivery. Patients and members of the public prefer to receive updates through a database compared to no updates, and reported that use of a database for updates would provide them with control over their medical information. We propose to develop a stand-alone platform to provide continual updates to results.

Digital platforms can reduce distress associated with waiting for results and empower patients to act on medical results: A systematic review of patient platforms found that they can improve psychological outcomes such as decision-making and self-efficacy. For patients with diabetes, patient platforms have been found to improve medication adherence, use of preventive services, and clinical outcomes. In interviews, cancer patients report that waiting for a verbal confirmation of results from a provider was more distressful than having control and accessing the results online through a platform. Among cancer patients, platforms reduced distress associated with waiting for pathology results related to a cancer diagnosis. Patient platforms to return genomic test results may provide better infrastructure to support patient-clinician communication, reduce resource burden, mitigate inequities in patients' access to updated health information and reduce distress. However, no tools exist for use in this context.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adult patients who have had germline genome sequencing as part of the Incidental Genomics (CTO #0819), Genetics Adviser (CTO #3400), or GENCOV (CTO #3302) trials and consented to be re-contacted for related research.

Exclusion criteria

  • Individuals who are unable to provide consent to participate in the study will not be eligible.
  • Patients are unable to participate if they do not speak English or lack access to the internet or an electronic device.

Treatment and study plan

Genetics Update Platform plus standard genetic counselling

Behavioral

Patients in this arm will have continual access to the genetics update platform while they wait for the updated genomic sequencing results. The platform will provide access to relevant educational materials and eventually, results of their genetic tests.

Standard Genetic Counselling

Behavioral

Standard Genetic counseling to learn and understand results from genomic sequencing.

Primary outcomes

  1. Reduce test-specific distress

    Time frame: At 0, 2 and 4 weeks of receiving genetic test results for both study arms

    The Multi-Dimensional Impact of Cancer Risk Assessment (MICRA) is a 21-item standardized, validated scale that measures the impact of result disclosure from genetic tests. There are three subscales: Distress (6 items), Uncertainty (9 items) and Positive Experiences (4 items). Total scores range from 0-125, with higher scores indicating worse outcome. Scores on the Distress subscale range from 0-30, with higher scores indicating worse outcome. Scores on the Uncertainty subscale range from 0-45, with higher scores indicating worse outcome. Scores on the Positive Experiences Subscale range from 0-20, with higher scores indicating worse outcomes. (PMID: 12433008)

Secondary outcomes

  1. Knowledge

    Time frame: Assessed at baseline, after first platform use (for intervention only) and at 0, 2 and 4 weeks of receiving genetic test results for both study arms.

    Knowledge is measured using a genomics knowledge scale developed by Clinseq, an established 11-item questionnaire consisting of two subscales assessing benefits and limitations of genome sequencing. Responses are on a five-point Likert scale ranging from strongly agree to strongly disagree, with responses being assigned a value of 1-5. Higher knowledge score indicates a higher level of knowledge.

  2. Decisional Conflict

    Time frame: Assessed after first platform use for the intervention arm only and at 0, 2 and 4 weeks of receiving genetic test results for both study arms.

    Decisional conflict is measured by the SURE screening test. It is a 4-item tool to assess decisional conflict in patients, developed by Légaré et al. Each item is scored as a yes (1) or no (0), and a total score is calculated by summing all items. A score less than 4 indicates the probability that a patient experiences clinically significant decisional conflict.

  3. Anxiety and Depression Scale

    Time frame: Assessed at baseline, after first platform use (for intervention only) and at 0, 2 and 4 weeks of receiving genetic test results for both study arms.

    Assessed using the 14 item Hospital Anxiety and Depression Scale (HADS). HADS has an Anxiety subscale and a Depression subscale, each with 7 questions. Add the scores of each of the 7 questions of the Anxiety subscale for a total score on the Anxiety subscale. Add the scores of each of the 7 questions of the Depression subscale for a total score on the Depression subscale. Scores range, 0-21 on each subscale; score > 10 indicates clinical anxiety or depression; scores 8-10 indicate "borderline" anxiety or depression.

  4. Quality of Life (SF-12)

    Time frame: Assessed at baseline, after first platform use (for intervention only) and at 0, 2 and 4 weeks of receiving genetic test results for both study arms.

    Physical and mental health measured using the 12-item short-form health survey (SF-12) scales.

  5. Intended Behavioral Change

    Time frame: At 2 and 4 weeks of receiving genetic test results for both study arms.

    We will assess the intended use and actual adoption of risk-reducing behaviors and preventative services across all RCT participants using CDC's Behavioral Risk Factor Surveillance System (BRFSS) questionnaire. We have adapted the BFRSS to examine whether the receipt of GS results influences participants' intent to adopt, and actual self-reported adoption of: screening, prophylactic surgery, dietary changes, reduced alcohol intake, increased exercise, adherence/changes to medication, and smoking cessation (beyond those taken due to their cancer diagnosis). Self-reported actual or intended use of these behaviors will be ascertained over the telephone. Higher scores indicate higher uptake of health behaviors.

  6. Digital Health Literacy

    Time frame: Assessed at baseline for both study arms.

    Measured by eHeals, the eHealth Literacy 8-item scale. Each item in the eHEALS uses a 5-point Likert scale to answer each question with response options ranging from "strongly agree" to "strongly disagree". The lowest score for any person was eight, and the highest score was 40. Higher scores indicate higher eHealth literacy skills.

  7. BRIEF Health Literacy Screening Tool (BRIEF)

    Time frame: Assessed at baseline for both study arms.

    BREIF is a 4-item scale used to assess health literacy. Each item is quantified using a 5-point scale (1-5) with higher scores indicating higher health literacy.

  8. Satisfaction with Genetics Education

    Time frame: Assessed after first platform use (for intervention only) and immediately after return of results for both study arms.

    Satisfaction with genetics education will be assessed using items adapted from PMID: 28791521. Participants will rate clarity, helpfulness, and overall satisfaction with the education format using Likert-scale questions (e.g., 1 = very dissatisfied to 5 = very satisfied). Scores will be summed, with higher scores indicating greater satisfaction.

  9. Empowerment

    Time frame: Assessed after first platform use (intervention only) and at 0, 2 and 4 weeks of receiving genetic test results for both study arms.

    Patient empowerment is measured using the a shorter version of the Genetic Counselling Outcome Scale (GCOS-24), called Genomics Outcome Scale (GOS). The scale uses 6 patient reported outcome measure items to evaluate genetic counselling and testing services. Each item is scored on a 5-point scale and the final score is calculated by summing all items. Each of the 6 items in the measure is rated on a 7-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree) with possible total scores ranging from 6 to 42. A higher score indicates greater empowerment. (PMID: 30496830)

  10. Acceptability

    Time frame: Assessed after first platform use and immediately after receiving results from the platform for intervention arm only.

    Acceptability e-scale: brief questionnaire used to evaluate users' acceptance and satisfaction with a genetics web application, including its ease of use, usefulness, clarity, and overall user experience.

Other outcomes

  1. Clinician time preparing for the session, counseling and post-session

    Time frame: Collected at 2-weeks post-test result disclosure by the clinician for both study arms.

    Measure of total time spent preparing for the genetic counselling session, time with the Genetic Counselor in the counselling session and time spent preparing letters and chart notes after the session.

  2. Duration of platform session

    Time frame: Assessed after first platform use and at 0, 2 and 4 weeks of receiving genetic test results for intervention arm only.

    Measure of total time spent using the digital platform.

  3. Frequency of platform use

    Time frame: Assessed after first platform use and at 0, 2 and 4 weeks of receiving genetic test results for intervention arm only.

    Measure of the number of times the digital platform was accessed by the participant using

  4. Qualitative interviews with a subset of participants

    Time frame: Within 6 months of completing the study

    We will use in-depth interviews with patients to provide further insights into the delivery and support of genetic services. Interviews will consider participants' socio-demographic factors that may influence their informational, decisional, and follow-up needs as well as how they engage with genetic information, participate in shared decision making, and manage genetic test results.

Study contacts

Contact information is provided by the study sponsor or research team.

Jordan Sam, MHSc

CONTACT

[email protected]

416-864-6060 ext. 77397

Marc Clausen, MA

CONTACT

[email protected]

416-864-6060 ext. 77397

Sponsors and collaborators

Lead sponsor

Unity Health Toronto

Other

Registry information

Official study title

The Genetics Update: Evaluating a Patient Platform to Deliver Updated Genomic Results

Important dates

Study start
2027
Primary completion
2028
Study completion
2028
First posted
Aug 31, 2026
Registry last updated
Aug 31, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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