P-OMICs-flow: Integrating Precision Oncology Into Clinical Programs

Sponsor
The University of New South Wales (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT06077110
Collaborator
(none)
300
1
41

Study Details

Study Description

Brief Summary

The purpose of this study is to drive integration of precision medicine into routine oncology healthcare. It is hoped that this research will not only optimise the newly established P-OMICs-flow model of care within The Prince of Wales Hospital, but also prime it for use within other health care sites. The multidisciplinary team will work to achieve the following three objectives:

  1. Co-design a clinic, implementation platform and suite of outcome measures to optimise P-OMICs-flow (Phase 1)

  2. Test the implementation, service-, clinical, and cost-effectiveness of P-OMICs-flow (Phase 2)

  3. Develop and pilot test a P-OMICs-flow scale-up model and toolkit (Phase 3)

A mixed-methods approach will be used to develop and evaluate an implementation platform to support the integration of precision medicine into the routine oncology setting at a single hospital site. In the first study phase, interviews and focus-groups will be used to develop the implementation platform, which involves a co-designed model of care supported by a Learning Health System. A Type II Hybrid effectiveness-implementation trial design will then be used to test the implementation, clinical, and cost-effectiveness of the P-OMICs-flow model of care (phase 2). A combination of patient surveys and interviews will be used to measure patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs); stakeholder and patient interviews, surveys and focus-groups will be used to measure implementation outcomes; and cost data will be collected to inform an economic evaluation. These data will be collected at various stages of implementation to evaluate the effectiveness of the P-OMICs-flow model of care over time. In the final study phase (phase 3), a scale-up model will be developed to support implementation of the new model of care across a wider range of clinical contexts. (Phase 3 will be detailed in a separate ethics amendment)

It is hoped that this research will not only optimise the newly established model of care within The Prince of Wales Hospital, but also prime it for use within other health care sites.

Condition or Disease Intervention/Treatment Phase
  • Other: P-OMICs-flow services
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
300 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Health Services Research
Official Title:
Developing a Novel Precision Medicine Clinic to Drive Integration of Research Into Routine Healthcare: P-OMICs-flow
Anticipated Study Start Date :
Oct 1, 2023
Anticipated Primary Completion Date :
Jan 1, 2027
Anticipated Study Completion Date :
Mar 1, 2027

Arms and Interventions

Arm Intervention/Treatment
Experimental: P-OMICs-flow patients

Other: P-OMICs-flow services
The Service Intervention is the P-OMICs-flow clinic being delivered at The Prince of Wales Hospital. This clinic provides a streamlined, multidisciplinary model to seamlessly integrate research-led precision medicine into the routine oncology setting.

Outcome Measures

Primary Outcome Measures

  1. Implementation Outcomes [3 months post-referral]

    appropriateness (e.g., perceived fit); qualitative measurement collected via interviews/focus groups/questionnaires

  2. Implementation Outcomes [3 months post-referral]

    acceptability (clinician satisfaction); qualitative measurement collected via interviews/focus groups/questionnaires

  3. Implementation Outcomes [3 months post-referral]

    feasibility; qualitative measurement collected via interviews/focus groups/questionnaires

  4. Implementation Outcomes [3 months post-referral]

    adoption (e.g., telehealth uptake); qualitative measurement collected via interviews/focus groups/questionnaires

  5. Implementation Outcomes [3 months post-referral]

    fidelity (care model adopted as intended); qualitative measurement collected via interviews/focus groups/questionnaires

  6. Implementation Outcomes [3 months post-referral]

    cost (e.g., immediate versus ongoing implementation resource); qualitative measurement collected via interviews/focus groups/questionnaires

  7. Implementation Outcomes [3 months post-referral]

    penetration (e.g., research enrolment numbers including culturally and linguistically diverse, remote/regional); qualitative measurement collected via interviews/focus groups/questionnaires

  8. Implementation Outcomes [3 months post-referral]

    sustainability [industry engagement, grant support; clinical trial & access options, research links (e.g., sub-studies) generated]; qualitative measurement collected via interviews/focus groups/questionnaires

  9. Service Outcomes [3 months post-referral]

    Upstream indicators of clinical effectiveness: intervals between time from referral to treatment; captured via audit data; measured in days; a smaller value indicates a preferred outcome.

  10. Service Outcomes [3 months post-referral]

    Upstream indicators of clinical effectiveness that include: uptake of precision oncology treatment recommendations; captured via audit data; measured in percentages; a higher value indicates a preferred outcome.

  11. Service Outcomes [3 months post-referral]

    Upstream indicators of clinical effectiveness that include: time from identification of germline research result to familial cancer clinic referral; captured via audit data, measured in days; a smaller value indicates a preferred outcome.

  12. Service Outcomes [3 months post-referral]

    Upstream indicators of clinical effectiveness that include: time from identification of germline research result to clinical confirmation; captured via audit data, measured in days; a smaller value indicates a preferred outcome.

  13. Clinical Outcomes [3 months post-referral]

    Patient reported experience of coordinated care; collected via questionnaires adapted for the precision medicine context; measured as ratings; a higher rating indicates a preferred outcome.

Secondary Outcome Measures

  1. Clinical Outcome: Quality of life improvement (EQ-5D-5L, EuroQol-5 Dimension-5 Level) [3, 6, 9 months post-referral]

    Each dimension in the EQ-5D-5L has five response levels: no problems (Level 1); slight; moderate; severe; and extreme problems (Level 5). There are 3,125 possible health states defined by combining one level from each dimension, ranging from 11111 (full health) to 55555 (worst health).

  2. Clinical Outcome: Views and attitudes (patient-perceived benefits and drawbacks of process and care model), result return preferences, knowledge, perceived importance of genomic profiling [3, 6, 9 months post-referral]

    qualitative measures captured via interviews/questionnaires

  3. Clinical Outcome: Psychological outcomes (e.g., anxiety and depression, coping with uncertainty) [3, 6, 9 months post-referral]

    qualitative measures captured via interviews/questionnaires

  4. Clinical Outcome: Decisional outcomes (e.g., decisional regret regarding personalised treatment, decisional satisfaction) [3, 6, 9 months post-referral]

    qualitative measures captured via interviews/questionnaires

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • have been referred to the P-OMICs-flow clinic at POWH

  • speak English

  • are aged 18 years or over

  • are able to provide informed consent

Exclusion Criteria:
  • aged under 18 years

  • non-English speaking

  • are unable to provide informed consent

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • The University of New South Wales

Investigators

  • Principal Investigator: Natalie Taylor, PhD, The University New South Wales

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Natalie Taylor, Associate Professor, The University of New South Wales
ClinicalTrials.gov Identifier:
NCT06077110
Other Study ID Numbers:
  • RG214257
  • RARUR000125
First Posted:
Oct 11, 2023
Last Update Posted:
Oct 11, 2023
Last Verified:
Oct 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Natalie Taylor, Associate Professor, The University of New South Wales

Study Results

No Results Posted as of Oct 11, 2023