Gendered Assumptions in Digital Health Solutions

Gendered assumptions can emerge in digital health solutions when tools, such as menstrual health apps, are developed without sufficient input from women. This often leads to overlooking key aspects of women’s experiences, such as the complexities of menstrual cycles, pain management, and privacy concerns. Without diverse perspectives in the design process, these apps may fail to fully meet women’s needs, resulting in less effective and inclusive solutions for managing menstrual health.

Stereotype Bias in Women's Healthcare

Stereotype bias creates disparities in women’s healthcare, leading to underdiagnosis and inadequate treatment. Women's pain is often underestimated and misattributed as emotional rather than physical, resulting in less effective pain management. Conditions like heart disease are frequently missed due to stereotypes misinterpreting symptoms. Women are also more likely to be prescribed sedatives or antidepressants instead of appropriate treatments, reflecting the psychologization of their health issues. This bias undermines equitable care and worsens health outcomes for women.

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8. https://ammachilabs.org/