Introduction As care robots become increasingly common in long-term care (LTC), understanding the perceptions of those who provide patient care is critical to ensure technology aligns with workforce needs and enhances care. Methods This cross-sectional study aimed to modify the Users’ Needs, Requirements, and Abilities Questionnaire (UNRAQ) for LTC nursing staff in the United States and conduct initial psychometric testing. The modified instrument (N-UNRAQ) expands the original assistive role and social aspects domains into three subdomains (facility, staff, robot) and adds three LTC-specific assistive tasks (transferring/lifting, administering medications, and assisting with activities of daily living). Electronic surveys were distributed to nursing staff across a random sample of LTC facilities in Central Texas. Results Responses from 122 staff across 28 LTC facilities were analyzed to assess reliability and validity. Results demonstrated excellent internal consistency across domains and the full questionnaire, with partial support for construct validity. Findings suggest that technological experience, rather than prior robot familiarity, influenced perceptions. Limited response variability in facility and staff domains suggested a ceiling effect that may constrain discrimination. Participants rated assistive and social tasks as important to their roles and facilities but expressed neutral attitudes toward robots performing them. Environmental monitoring and reminders were rated most favorably, while physical assistance tasks were rated less positively, suggesting staff are more comfortable with indirect rather than hands-on robot support. Conclusions The N-UNRAQ offers a reliable tool for assessing nursing staff perceptions of care robots. Future work should refine the instrument and validate it across broader contexts.
Trainum et al. (2026) studied this question.