Clinical trial · Observational
Evaluation of Barriers to Cancer Care Delivery and Outcomes for Women of Color With Metastatic Breast Cancer
The Impact of Social Determinants of Health on Cancer Care Delivery & Outcomes for Metastatic Breast Cancer Patients
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study evaluates disparities and barriers in cancer care delivery and outcomes in women of color by identifying socioeconomic variables that may be related to the inequity. Social determinants of health, or the conditions in which people live, work, and play, have a profound effect on health outcomes. This research is being done to understand whether social determinants of health factors like employment, household income, and home ownership affect access to care services and outcomes for patients with metastatic breast cancer who receive their cancer treatment at Sidney Kimmel Cancer Center at Jefferson Health.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Anatomic Stage IV Breast Cancer AJCC v8 | Breast Neoplasm | PROBABILISTIC | 0.70 |
| Metastatic Breast Carcinoma | Breast Carcinoma | CURATED_BROADER | 0.78 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (5)
- measure
- Acuity Risk Score Aim 1
- timeFrame
- 6 months
- description
- For modeling the acuity risk scores, the 3-level scores will be collapsed into a binary outcome measure (low vs. medium/high) at each assessment. These longitudinal observations collected over time will be modeled by generalized logistic regression using Generalized Estimating Equations (GEE) for robust error variance accounting for the correlations in observations from the same patient. The model will include predictor terms for race, time, and race-by-time interactions. This approach will be capable of characterizing baseline racial disparities in acuity risk, as well as distinguishing which racial groups might benefit the most from the intervention of the social worker in changing acuity risk score. The coefficients for race at baseline and linear combinations of coefficients for race and time to characterize changes in acuity risk will be exponentiated for representation as odds ratios and presented with 95% confidence intervals.
- measure
- Treatment delays and interruption Aim 2
- timeFrame
- At end of study (3-6 months after baseline visit)
- description
- Will be represented as binary endpoints for modeling.
- measure
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Female * Aged 18 and older * English-speaking * Diagnosed with metastatic breast cancer within 24 months of study enrollment * Receiving treatment at the SKCC in Center City, New Jersey, or Methodist Hospital * Provide signed and dated informed consent form * Willing to comply with all study procedures and be available for the duration of the study Exclusion Criteria: * Male breast cancer patients * Women with breast cancer that is not metastatic * Women who discontinue treatment for their metastatic disease at SKCC
References
Publications (0)
Data not yet available