# The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application Jasper E Palmier-Claus1,2*, John Ainsworth1, Matthew Machin1, Cristine Barrowclough2, Graham Dunn1, Emma Barkus3, Anne Rogers1, Til Wykes4, Shitij Kapur4, Iain Buchan1, Emma Salter1 and Shôn W Lewis1 ---- Related to this paper: [[Care Co-Ordinator in my Pocket. A feasibility study of mobile assessment and therapy for psychosis - TechCare]] [[The feasibility and validity of ambulatory self report of psychotic symptoms using a smartphone software application.pdf]] My notes: - This paper is related to [[ACTISSIST from UK]], this is about the Symptom Monitoring system ClinTouch they have invented. - They argue that traditional self reporting questionnaires have it's limitations. 1. Recall Bias 2. Averaging 3. Insensitivity to Changes 4. Variable Inter-rater Reliability - 44 patients from the following group (Good idea to compare type of patients to see if they use the app differently) 1. Acute phase - admitted, restarted treatment within a month. With worsen symptoms which require change of medicine 2. Stable patients with mild/ or in remission for at least 3 months 3. Prodrome. ARMS patients which met CAARMS criteria - Give them smart phone, for 1 week. - EMA triggers at random timing. Can snooze. To complete questions. Good idea to have random timing [[202201271526 How to design EMA]] - ![[202201271526 How to design EMA#^1a9788]] Their Measures 1. Baseline and at 6 days. 1. PANSS 2. Calgary Depression Scale 2. Then they use statistical tools to evaluate if there are any correlations between data from App EMA and traditional PANSS and CDS. Results - Compliance rate is at least 33% (This is similarly used in their [[ACTISSIST from UK]] paper. Why 33%? - Majority of the patients were able to comply with the procedure. - Positive symptoms scales generally showed moderate to strong correlations with their corresponding PANSS scales. - Affective symptoms.... also significantly correlated with the interview measures.