Developing the Spanish Version of the Fraboni Scale of Ageism: Cross-Cultural Adaptation with Initial Reliability and Content Validity Findings

Background: Ageism is a global public health concern associated with poorer health outcomes and inequities in care. Culturally adapted instruments are needed to assess ageist attitudes among healthcare professionals in Spain. This study aimed to cross-culturally adapt and evaluate the preliminary psychometric properties of the Spanish version of the Fraboni Scale of Ageism (FSA-SV). Methods: A methodological study was conducted, including translation and back-translation, expert review, and a pilot test. Content validity was assessed using the content validity index (CVI), the modified kappa coefficient, and Aiken’s V. A descriptive cross-sectional pilot study was conducted with 101 healthcare professionals from a single health department in Valencia to evaluate comprehension and reliability. Internal consistency was examined using Cronbach’s alpha and McDonald’s omega. Results: Content validity indices indicated acceptable agreement among experts (S-CVI = 0.745; Aiken’s V = 0.770). All items were retained to preserve conceptual and structural equivalence with the original instrument. The FSA-SV demonstrated high internal consistency (Cronbach’s alpha = 0.903; McDonald’s omega = 0.915). The mean total score was 51.2 (SD = 9.62), with no significant associations observed between ageism and participants’ sociodemographic or professional variables. Conclusions: This pilot study represents a first step in the cross-cultural adaptation and preliminary psychometric evaluation of the FSA-SV for use among healthcare professionals in Spain. The results suggest that the instrument shows promising initial properties for the preliminary assessment of ageism, supporting its potential utility in future research and in evaluating educational and organizational interventions aimed at reducing ageism and improving the quality and safety of care for older adults. Further studies with larger, more diverse samples are required to evaluate additional psychometric properties, including the factorial structure.