Qualitative study assesses translation challenges in patient portals, highlighting improvements for caregivers.
Objectives To explore how Spanish-speaking caregivers navigate translation barriers in patient portals and to assess their perspectives on improving language accessibility. Materials and methods This qualitative study was conducted at a pediatric academic health system. Semi-structured interviews were conducted with Spanish-speaking caregivers of children with chronic conditions, and inductive thematic analysis was used to generate themes. Results Twenty caregivers participated. Three key themes emerged: (1) Caregivers rely on online machine translation tools, which can be inaccurate and time-consuming; (2) Caregivers frequently depend on children and family members for translation, raising concerns about comprehension and appropriateness; (3) Caregivers expressed strong interest in timely and accurate translation features within patient portals to enhance accessibility. Discussion Spanish-speaking caregivers develop workarounds to access medical information, but these strategies pose risks to patient safety and exacerbate digital health inequities. While AI-powered machine translation offers a potential solution, concerns about accuracy, regulatory compliance, and equitable implementation must be addressed. Conclusion Spanish-speaking caregivers face significant challenges in accessing health information through patient portals. Health systems should prioritize integrated translation solutions, leveraging AI-driven tools while ensuring accuracy and equitable implementation to improve language accessibility.
No takes yet. Share an insight, caveat, or question.
Tse et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: