Marginalized patient identities and the patient-physician relationship in the cancer care context: a systematic scoping review

Purpose We sought to examine and categorize the current evidence on patient-physician relationships among marginalized patient populations within the context of cancer care using a systemic scoping review approach. Methods Web-based discovery services (e.g., Google Scholar) and discipline-specific databases (e.g., PubMed) were queried for articles on the patient-physician relationship among marginalized cancer patients. The marginalized populations of interest included (1) race and ethnicity, (2) gender, (3) sexual orientation and gender identity, (4) age, (5) disability, (6) socioeconomic status, and (7) geography (rural/urban). Study screening and data extraction were facilitated through the Covidence software platform. Results Of the 397 screened studies, 37 met study criteria-most articles utilized quantitative methodologies (n = 28). The majority of studies focused on racial and ethnic cancer disparities (n = 27) with breast cancer (n = 20) as the most common cancer site. Trust and satisfaction with the provider were the most prevalent issues cited in the patient-physician relationship. Differences in patient-physician communication practices and quality were also frequently discussed. Overall, studies highlighted the need for increased culturally congruent care among providers. Conclusion Results from this review suggest marginalized cancer patients face significant barriers in establishing culturally and linguistically congruent patient-physician relationships. Future studies should focus on the intersectionality of multiple marginalized identities and optimization of the patient-physician relationship.

Automated summary

Evidence suggests that marginalized cancer patients face significant barriers in establishing culturally and linguistically congruent patient-physician relationships, emphasizing the need for future studies to focus on multiple marginalized identities and enhance the patient-physician relationship optimization.