Mia Asplund är med i senaste avsnittet av OCD-podden och talar om trichotillomani och dermatillomani. Lyssna här!
Mia är leg. psykolog och doktorand i forskargruppen. Hennes forskning handlar om psykologisk behandling av trichotillomani och dermatillomani, även kallat skin-picking disorder. Tricho- och dermatillomani är två psykiatriska tillstånd som innebär ett tvångsmässigt plockande av hår- respektive hud.
English translation: Mia Asplund, psychologist and and PhD student, talks about trichotillomania and skin-picking disorder in the Swedish podcast OCD-podden.
Edit: Många har anmält sig och tyvärr finns inga platser kvar till den behandlingsomgång som startar under våren. Till hösten drar vi igång igen och öppnar upp anmälningsfunktionen för flera nya behandlingsomgångar.
We are very grateful to announce that the Söderström-König Foundation has awarded John Wallert with a grant of 350 000 SEK for the project “PRiMED: Predicting Response after cognitive behaviour therapy in MEntal Disorders using multimodal data and machine learning”. We are excited to use this funding to continue our work at building advanced prediction models to be used as decision support in future clinical psychiatry.
We are happy to announce that Elin Lindsäter starts a post doc today in our group. She is a psychologist and PhD and has extensive experience working with and researching stress and exhaustion. Our group is now expanding into this field, supported by a grant from the Swedish Research Council. Welcome Elin!
Today Long Long Chen, psychiatrist and PhD student in our group, passed his half-time control towards his PhD with flying colors. Diana Djurfeldt is his main supervisor, with Cynthia Bulik and Christian Rück co-supervising. The titel of his PhD project is “Advances in studying OCD – from next-generation sequencing to deep brain stimulation”. The advisory board, Lisa Ekselius, Uppsala University, Björn Andersson and Rochellys Diaz Heijtz, KI provided very valuable feedback.
In a recent pre-print from our team, we report findings from an outreach initiative at our psychiatric clinic. Our objectives were to evaluate the physical and mental well-being, subjective mental health, and need for updated psychiatric management plans in patients with severe mental illness during the early stages of the COVID-19 pandemic. Patients who had not been in touch with their outpatient clinic between April 9 and April 23, 2020 were contacted via telephone. From the abstract:
Main Outcomes and Measures: Self-rated physical, respiratory and psychiatric symptoms according to a semi-structured interview. Subjective mental health rated on a scale from 0-100.
Results: Patients (n = 1071) were on average 45 years old (SD = 16.9), of which 570 (53%) were female. Neurodevelopmental disorders, psychotic disorders, and bipolar disorder were the most common diagnostic categories. The majority of respondents reported no respiratory symptoms (86%), and few reported light (10%) or severe (4%) respiratory symptoms. Similarly, most patients reported no worsening in psychiatric symptoms (81%). For those who reported a worsening of psychiatric symptoms (19%), the psychiatric management plans that were already in place were deemed appropriate in most cases (16.5%), whereas 22 patients (2.5%) reported a worsening of psychiatric symptoms that warranted an earlier or immediate follow-up by their psychiatric clinic. Patients rated their subjective mental health on a 0-100 scale as 70.5 [95% CI 69 – 71.9] on average (n = 841). Response rates to the questions of the structured assessment varied from 79% – 82%.
Conclusions and Relevance: The majority of patients reported no respiratory symptoms, no change in psychiatric symptoms and a rather high subjective well-being. Patients in psychiatric care with a mental health care plan experienced stability in the management of their psychiatric symptoms and general well-being, and only a minority were in need of acute support during the early pandemic phase in Stockholm, Sweden.
We are happy to announce that John Wallert just has started a full-time post doc in our group. He is a psychologist who just received his PhD from Uppsala University. You can read his dissertation here. His expertise in predictive and causal modeling, including machine learning methods, will now be a welcome addition to our team where he will be involved on projects trying to forecast who improves after treatment.