Attitudes are deemed critical psychological variables that can determine end users’ acceptance and adoption of robots. This study explored the heterogeneity of the Chinese public’s attitudes toward robots in healthcare and examined demographic characteristics associated with the derived profile membership. The data were collected from a sample of 428 Chinese who participated in an online survey. Latent profile analysis identified three distinct subgroups regarding attitudes toward robots—optimistic (36.9%), neutral (47.2%), and ambivalent (15.9%). Interestingly, although participants in the ambivalent attitude profile held more negative attitudes toward interaction with or social influence of healthcare robots, their attitudes tended to be positive when it came to emotional interactions with healthcare robots. All the respondents reported negative attitudes toward the social influence of healthcare robots. Multivariable regression analysis results showed that there were significant differences in age, education level, monthly income, experience with computers, experience with wearable devices, and whether to follow robot-related news or not. This study confirmed the heterogeneity of the Chinese public’s attitudes toward robots in healthcare and highlighted the importance of emotional interaction with and social influence of healthcare robots, which might facilitate a better understanding of the needs and expectations of potential end users for robots in healthcare to make them more acceptable in different situations.

AimTo revise the Supportive Care Needs Survey for Partners and Caregivers of Cancer Patients (SCNS-P&C) and evaluate the psychometric properties of the Chinese Version of the Supportive Care Needs Survey for Caregivers of Children with Paediatric Cancer (SCNS-C-Ped-C) in caregivers of children with paediatric cancer. DesignA cross sectional design was used. MethodsIn this methodological research, the reliability and validity of the SCNS-C-Ped-C were measured by a questionnaire survey among 336 caregivers of children with paediatric cancer in China. The construct validity was evaluated by exploratory factor analysis and internal consistency was examined by Cronbach's alpha, split-half reliability, and corrected item-to-total correlation coefficients. ResultsThe exploratory factor analysis revealed six factors consist of: Healthcare and Informational Needs, Daily Care and Communication Needs, Psychological and Spiritual Needs, Medical Service Needs, Economic Needs, and Emotional Needs, explaining 65.615% of the variance. The Cronbach's alpha was 0.968 at full scale and 0.603-0.952 on the six domains. The split-half reliability coefficient was 0.883 at full scale and 0.659-0.931 on the six domains. ConclusionsThe SCNS-C-Ped-C demonstrated both reliability and validity. It can be used to evaluate multi-dimensional supportive care needs for caregivers of children with paediatric cancer in China.