Are student nurses ready for new technologies in mental health? Mixed-methods study

Background Technical innovations such as ecological momentary assessment (EMA), machine learning (ML), computerized adaptive testing (CAT), Digital Phenotyping, Clinical Decision Support Systems (CDSS), Algorithms, and Biomarkers have caused a paradigm shift in psychiatric care. The aim of the present study was to explore how student nurses view this paradigm shift, by assessing the acceptability of smartphone-based EMA, CAT, and biosensor-based Digital Phenotyping. We also investigated the factors affecting this acceptability. Method Student nurses recruited via nursing schools participated in a quantitative study involving the screenplay method, in which they were exposed to two scenarios about depression care, one featuring EMA and CAT, the other featuring a connected wristband (CW) for Digital Phenotyping. Four acceptability domains (usefulness, usability, reliability, risk) were investigated. Results We recorded 1216 observations for the first scenario and 1106 for the second. Regarding overall acceptability, the CW was viewed less positively than CAT and EMA. Regarding reliability, whereas respondents believed that the CW could correctly detect depressive relapse, they did not think that EMA and CAT were sufficiently reliable for the accurate diagnosis of depressive disorder. More than 70% of respondents stated that they would nevertheless be interested in offering EMA, CAT or CW to their patients, but more than 60% feared that these devices might hinder the therapeutic relationship. Conclusion This was the first study assessing student nurses' views of EMA, CAT and CW-based digital phenotyping. Respondents were interested in these new technologies and keen to offer them to their patients. However, our study highlighted several issues, as respondents doubted the reliability of these devices and feared that they would hinder the therapeutic relationship. Subgroup analysis revealed correspondences between acceptability profiles and demographic profiles. It is therefore essential for nurses and student nurses to receive training and become involved in the development of this new technologies.