Information, beliefs, and gender stereotypes: Analysis of socio-cognitive factors influencing healthcare for intersex people.

Abstract

Intersex people continue to face barriers in healthcare. Despite notable ethical and legal advances, the role of socio-cognitive factors influencing clinical decision-making remains insufficiently understood. Critical perspectives call for revising the epistemological and normative foundations of medical practice, as clinical judgments may still be shaped by professionals’ beliefs and limited access to accurate information. Objective: This study examined how levels of knowledge, beliefs about gender determinism, and adherence to gender roles influence healthcare professionals’ attitudes toward intersex people. Methods: A total of 210 healthcare professionals from Spain participated in a cross-sectional survey. Participants completed the Intersex Knowledge Questionnaire, the short version of the Bem Sex-Role Inventory, and the Gender Determinism Scale. Data were analyzed using χ2 tests, one-way ANOVA, and t-tests. Results: Higher levels of knowledge (conceptual, procedural, and legislative) were associated with more affirmative and non-normative attitudes toward intersex healthcare. Neither gender determinism nor adherence to traditional gender roles was associated with professionals’ attitudes. Participants with prior contact with intersex people demonstrated higher conceptual knowledge and lower support for corrective surgeries. Significant disciplinary differences were also found: physicians tended to display more corrective and ambivalent attitudes, whereas psychologists and social workers were more frequently aligned with affirmative and diversity-respectful perspectives. Conclusions: Intersex healthcare attitudes may be influenced by limited training opportunities and the low visibility of intersex topics in medical education. Knowledge appears to be an important factor associated with more affirmative professional attitudes. Future studies using larger samples are needed to confirm these associations and explore underlying causal mechanisms.