Patient Priorities Care for Breast Cancer Survivors

Recruiting at 3 trial locations

Overseen By Dana E. Giza, MD

Age: 65+

Sex: Female

Trial Phase: Academic

Sponsor: The University of Texas Health Science Center, Houston

Disqualifiers: Active cancer therapy

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

120 Participants Needed

Trial Summary

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It seems likely that you can continue them, as the study focuses on adapting care for breast cancer survivors.

What data supports the effectiveness of the treatment Adapted Patient Priorities Care (PPC) approach for breast cancer survivors?

The Patient Priorities Care (PPC) model has been shown to align healthcare with the priorities of older adults with multiple chronic conditions, suggesting it could be effective for breast cancer survivors by focusing on their individual care needs. Additionally, using electronic patient-reported outcomes (ePROs) to tailor follow-up care has been effective in managing service use and improving workflows for breast cancer survivors. ^{1 2 3 4 5}

How is the Adapted Patient Priorities Care (PPC) approach unique for breast cancer survivors?

The Adapted Patient Priorities Care (PPC) approach is unique because it focuses on aligning care with the individual priorities and preferences of breast cancer survivors, emphasizing personalized care and coordination between oncology and primary care teams to address the complex needs of survivors. ^{1 4 6 7 8}

What is the purpose of this trial?

The objective of this study is to adapt the Patient Priorities Care (PPC) framework to breast cancer survivorship via a user-centered approach, through an iterative process in which patients and their physicians help to refine and modify the intervention. A second objective is to evaluate the feasibility and effectiveness of the adapted PPC framework in breast cancer survivorship for older adults.

Research Team

Dana E. Giza, MD

Principal Investigator

The University of Texas Health Science Center, Houston

Eligibility Criteria

This trial is for older adults who have survived breast cancer. Participants should be interested in a care approach that focuses on their personal health priorities. Specific eligibility details are not provided, so it's best to contact the study team for more information.

Inclusion Criteria

I have 3 or more health conditions, take 10 or more medications, or have had multiple hospital visits.

Able to provide consent

My breast cancer is at stage I, II, or III.

Exclusion Criteria

I am currently undergoing treatment for cancer.

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Adaptation and Iteration

Participants and their physicians help to refine and modify the Patient Priorities Care (PPC) framework for breast cancer survivorship

6 months

Evaluation

Feasibility and effectiveness of the adapted PPC framework are evaluated

12 months

Follow-up

Participants are monitored for adherence to survivorship recommendations and health status

12 months

Treatment Details

Interventions

• Adapted Patient Priorities Care (PPC) approach

Trial Overview The study is testing an adapted Patient Priorities Care (PPC) framework against usual care practices. It aims to tailor survivorship care based on feedback from patients and physicians, focusing on what matters most to the patient.

Participant Groups

Group I: Adapted Patient Priorities Care (PPC) approach plus Usual Care Experimental Treatment 2 Interventions

Older adults breast cancer survivors will have a visit with a facilitator to discuss about their health priorities for breast cancer survivorship care prior to their usual visit with the oncology/primary care physicians to discuss about aspects of survivorship care

Group II: Usual Care Active Control 1 Intervention

Older adults breast cancer survivors will have usual healthcare visits with the oncology/primary care physicians to discuss aspects of survivorship care

Who Is Running the Clinical Trial?

The University of Texas Health Science Center, Houston

Lead Sponsor

Trials

974

Recruited

361,000+

National Center for Advancing Translational Sciences (NCATS)

Collaborator

Trials

394

Recruited

404,000+

National Institute on Aging (NIA)

Collaborator

Trials

1,841

Recruited

28,150,000+

Findings from Research

The study developed a natural language processing (NLP) model that accurately identifies when clinicians document patient priorities in electronic health records, achieving a high accuracy of 0.92 during validation.

Out of 778 patient notes analyzed, 75.7% contained patient priorities language, demonstrating the model's effectiveness in measuring the adoption of the Patient Priorities Care (PPC) model in clinical settings.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Measuring Adoption of Patient Priorities-Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model. Razjouyan, J., Freytag, J., Dindo, L., et al.[2021]

References

1. United States pubmed.ncbi.nlm.nih.gov

A survivorship care plan for breast cancer survivors: extended results of a randomized clinical trial. [2022]

2. Canada pubmed.ncbi.nlm.nih.gov

Measuring Adoption of Patient Priorities-Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model. [2021]

3. United States pubmed.ncbi.nlm.nih.gov

ePRO-based individual follow-up care for women treated for early breast cancer: impact on service use and workflows. [2021]

4. United States pubmed.ncbi.nlm.nih.gov

Engaging TEAM Medicine in Patient Care: Redefining Cancer Survivorship From Diagnosis. [2022]

5. England pubmed.ncbi.nlm.nih.gov

Defining a patient-centered approach to cancer survivorship care: development of the patient centered survivorship care index (PC-SCI). [2022]

6. United States pubmed.ncbi.nlm.nih.gov

Optimizing cancer survivorship in primary care: patient experiences from the Johns Hopkins Primary Care for Cancer Survivors clinic. [2023]

7. New Zealand pubmed.ncbi.nlm.nih.gov

Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment. [2023]

8. Germany pubmed.ncbi.nlm.nih.gov

Knowledge and self-efficacy for caring for breast and colon cancer survivors among safety net primary care providers. [2021]