Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey.
Kristin A KosylukTanner BaederKarah Yeona GreeneJennifer T TranCassidy BoltonNele LoecherDaniel DiEvaJerome T GaleaPublished in: JMIR formative research (2024)
Label avoidance, the desire to avoid mental health services to avoid the stigmatized label of mental illness, is a significant negative predictor of care seeking. Therefore, our finding regarding label avoidance and chatbot use has significant public health implications in terms of facilitating access to mental health resources. Those who are high on label avoidance are not likely to seek care in a community mental health clinic, yet they are likely willing to engage with a mental health chatbot, participate in mental health screening, and receive mental health resources within the chatbot session. Chatbot technology may prove to be a way to engage those in care who have previously avoided treatment due to stigma.