Applying the Multicultural Orientation in Cancer Care for Sexual and Gender Minority Cancer Survivors: A Cross-Sectional Correlational Study.
Trisha L RaqueKat BashakevitzOrphea WrightNfn ScoutPublished in: LGBT health (2024)
Purpose: Sexual and gender minority (SGM) cancer survivors report unique needs that are not met by some providers. The multicultural orientation (MCO) holds promise for creating a paradigm shift in providing affirmative cancer care, yet has not been tested empirically. This study examines the predictive strength of MCO's tenets of cultural humility and cultural opportunities for SGM cancer patient-provider relationships. Methods: In this cross-sectional study, 108 SGM cancer survivors completed surveys on perceptions of their oncology providers' cultural humility and actualization of cultural opportunities as predictors of survivors' treatment adherence and the patient-provider alliance. Hierarchical regression analyses were conducted. Results: Average participant age was 50 years ( standard deviation = 15 years). Over 10 cancer types were represented and 69% of participants were in active treatment, with the remaining 31% receiving follow-up care. Age at diagnosis and not being in active treatment positively correlated with perceptions of providers' cultural humility, patient-provider alliance, and treatment adherence. Regression models explained 38% and 61%, respectively, of the variance in treatment adherence and patient-provider alliance, with cultural humility remaining a significant predictor in both models after accounting for all other variables. Conclusion: Providers' cultural humility and navigation of cultural opportunities in incorporating their patients' salient cultural identities into cancer care are strongly associated with how supported SGM cancer survivors feel by their oncology providers. The MCO is a useful framework for identifying important dimensions in SGM affirmative cancer care.
Keyphrases
- young adults
- healthcare
- case report
- palliative care
- mental health
- type diabetes
- squamous cell carcinoma
- papillary thyroid
- end stage renal disease
- skeletal muscle
- chronic pain
- insulin resistance
- deep learning
- machine learning
- affordable care act
- glycemic control
- squamous cell
- artificial intelligence
- health insurance
- big data
- quality improvement