Using the Candidacy Framework to Understand Individual, Interpersonal, and System Level Factors Driving Inequities in Women with Breast Cancer: a Cross-sectional Study
Overview
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Background: Persistent inequities in breast cancer outcomes exist. Understanding women's experiences along the care pathway is the first step to finding solutions to tackle these inequities.
Methods: Secondary data analysis of the 2017/2018 English National Cancer Patient Experience Survey (n = 25,408) using logistic regression to explore inequities in care experience by sociodemographic factors (age, ethnicity, socioeconomic position, sexual orientation) across 59 survey questions. We used the Candidacy Framework to interpret and organise our findings.
Results: Compared to older (65-74) and White British women, young (35-44, OR = 0.55 [0.44, 0.69]), Asian (OR = 0.52 [0.41, 0.67]), Black (OR = 0.67 [0.46, 0.97]) and White Other (OR = 0.63 [0.49, 0.81]) women were more likely to rate their overall care experience less positively, respectively. Similar findings were observed along all domains of the cancer pathway. Through a candidacy lens, we identified multilevel factors related to this variation including prolonged help-seeking behaviours (individual), poor patient-provider communication (interpersonal), and variation in access to healthcare professionals and resources (system level).
Conclusion: Multilevel factors influence inequities in the experience of care along the breast cancer pathway for young women and women from minoritised groups. Interventions are necessary to ensure cancer care systems are responsive to women's health needs and provide equity of care to all patients.