Structural racism as a leading cause of racial disparities in breast cancer quality of care outcomes: a systematic review
View abstract on PubMed
Summary
This summary is machine-generated.Structural racism, particularly residential segregation and redlining, is linked to worse breast cancer outcomes, including higher mortality and later diagnoses. Addressing these systemic issues is crucial for achieving health equity in cancer care.
Area Of Science
- Public Health
- Health Equity Research
- Cancer Disparities
Background
- Non-Hispanic Black women face disproportionately higher breast cancer mortality rates than non-Hispanic white women.
- Structural racism is a key driver of persistent racial disparities in breast cancer outcomes.
- This review examines the link between structural racism and breast cancer quality of care.
Purpose Of The Study
- To systematically review the relationship between structural racism and breast cancer quality of care outcomes.
- To explore how social determinants of health (SDOH) measures of structural racism impact breast cancer care.
- To assess breast cancer quality of care using the Donabedian model.
Main Methods
- Systematic review following PRISMA guidelines, searching PubMed, Embase, and CINAHL until October 2024.
- Utilized the Healthy People SDOH framework to categorize structural racism measures.
- Assessed quality of care using Donabedian's process, structural, and outcome measures.
Main Results
- 29 studies met eligibility criteria, focusing on structural racism and breast cancer quality of care.
- Residential segregation and redlining were the most studied measures of structural racism.
- These measures were significantly associated with adverse outcomes: higher mortality, later diagnosis, and suboptimal treatment.
Conclusions
- Structural racism is complexly linked to breast cancer quality of care and outcomes.
- Understanding the pathways of structural racism's impact is vital for developing interventions.
- Targeted interventions are needed to promote health equity in breast cancer care.
Related Concept Videos
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Selection Bias: This occurs when the study population is not...
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
• Paternalism: Nurses often encounter situations where they must act without patient consent to safeguard their well-being or prevent harm. A common example occurs in cases of...
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...

