Irene Niks’s scientific contributions

Introduction The mobile health application “Stress Autism Mate” (SAM) was designed to support adults with autism in identifying and managing daily stress. SAM measures stress four times daily, provides a daily and weekly stress overview, and provides personalised stress reduction advice. This study aimed to assess the effectiveness of SAM over four weeks in reducing perceived stress and internalised stigma, and enhancing coping self-efficacy, quality of life, and resilience among adults with autism. Methods Using an A1-B-A2 single-case experimental design, the effect of using SAM on adults with autism was assessed. The phases consisted of A1; treatment as usual (TAU), B; introducing SAM, and finally A2; follow-up with TAU and without the use of SAM. Each phase lasted four weeks, and data were collected via questionnaires before and after each phase. Linear mixed models were used for data analysis. Results Results show significant reductions in perceived stress levels, increased coping self-efficacy, and improved perceived health and psychological well-being after using SAM. Furthermore, increased resilience, and decreased internalised stigma were reported after follow-up. Discussion In conclusion, this study highlights SAM as a valuable tool for empowering adults with autism to reduce stress and internalised stigmaand to improve coping self-efficacy, psychological well-being, and resilience.

Objectives Adults with autism often need support to detect their stress and to apply adequate coping strategies for dealing with daily stress. The personalized mobile application Stress Autism Mate (SAM) is developed for and by adults with autism to detect and cope with daily life stress. SAM measures stress four times daily, generates an overview of the patients’ stress level and gives personalized advice to reduce stress. Methods With a pre-to post-treatment design, the level of perceived stress, coping self-efficacy and self-rated quality of life (QoL) was assessed at baseline (pre-test), after the four-week intervention (post-test) and after eight-week follow-up. Data was analysed using multilevel analysis taking within subject variance into account. Results At post-test measurement, there was a significant decrease in perceived stress. At post-test as well as follow-up, a significant improvement in coping self-efficacy and improvement in self-rated QoL was seen. Conclusions The results of this pilot study suggest that the personalized mHealth tool SAM can support adults with autism in detecting stress, improving their stress coping skills and improving their self-rated quality of life. In practice, SAM can be seen as an external stress monitor that can easily be integrated in the lives of adults with autism, to detect and cope with stress.