Mobile Assessment and Treatment for Schizophrenia (MATS): a pilot trial of an interactive text-messaging intervention for medication adherence, socialization, and auditory hallucinations.

Mobile Assessment and Treatment for Schizophrenia (MATS) employs ambulatory monitoring methods and cognitive behavioral therapy interventions to assess and improve outcomes in consumers with schizophrenia through mobile phone text messaging. Three MATS interventions were developed to target medication adherence, socialization, and auditory hallucinations. Participants received up to 840 text messages over a 12-week intervention period. Fifty-five consumers with schizophrenia or schizoaffective disorder were enrolled, but 13 consumers with more severe negative symptoms, lower functioning, and lower premorbid IQ did not complete the intervention, despite repeated prompting and training. For completers, the average valid response rate for 216 outcome assessment questions over the 12-week period was 86%, and 86% of phones were returned undamaged. Medication adherence improved significantly, but only for individuals who were living independently. Number of social interactions increased significantly and a significant reduction in severity of hallucinations was found. In addition, the probability of endorsing attitudes that could interfere with improvement in these outcomes was also significantly reduced in MATS. Lab-based assessments of more general symptoms and functioning did not change significantly. This pilot study demonstrated that low-intensity text-messaging interventions like MATS are feasible and effective interventions to improve several important outcomes, especially for higher functioning consumers with schizophrenia.

[1]  P. S. Achilles.  THE PSYCHOLOGICAL CORPORATION. , 1923, Science.

[2]  M. Kovács.  Cognitive therapy in depression. , 1980, The Journal of the American Academy of Psychoanalysis.

[3]  P. Delespaul,et al.  The Daily Life of Ambulatory Chronic Mental Patients , 1987, The Journal of nervous and mental disease.

[4]  S. Kay,et al.  The positive and negative syndrome scale (PANSS) for schizophrenia. , 1987, Schizophrenia bulletin.

[5]  P. Delespaul,et al.  Time, context, and subjective experiences in schizophrenia. , 1989, Schizophrenia bulletin.

[6]  M. Sliwinski,et al.  Development and validation of a model for estimating premorbid verbal intelligence in the elderly. , 1991, Journal of clinical and experimental neuropsychology.

[7]  Philippe Delespaul,et al.  Assessing Schizophrenia in Daily Life: The Experience Sampling Method , 1995 .

[8]  C. Wallace,et al.  The independent living skills survey: a comprehensive measure of the community functioning of severely and persistently mentally ill individuals. , 2000, Schizophrenia bulletin.

[9]  A. Beck,et al.  Cognitive therapy of schizophrenia: a new therapy for the new millennium. , 2000, American journal of psychotherapy.

[10]  S. Shiffman,et al.  Capturing momentary, self-report data: A proposal for reporting guidelines , 2002, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[11]  K. Dobson,et al.  Cognitive therapy of depression: pretreatment patient predictors of outcome. , 2002, Clinical psychology review.

[12]  N. Bolger,et al.  Diary methods: capturing life as it is lived. , 2003, Annual review of psychology.

[13]  S. Bartels,et al.  Medication nonadherence in older people with serious mental illness: prevalence and correlates. , 2006, Psychiatric rehabilitation journal.

[14]  Hongshik Ahn,et al.  Computerized experience sampling method (ESMc): assessing feasibility and validity among individuals with schizophrenia. , 2006, Journal of psychiatric research.

[15]  K. Patrick,et al.  Health and the mobile phone. , 2008, American journal of preventive medicine.

[16]  F. Španiel,et al.  The Information Technology Aided Relapse Prevention Programme in Schizophrenia: an extension of a mirror-design follow-up , 2008, International journal of clinical practice.

[17]  E. Granholm,et al.  Feasibility and Validity of Computerized Ecological Momentary Assessment in Schizophrenia , 2007, Schizophrenia bulletin.

[18]  E. Granholm,et al.  Social disinterest attitudes and group cognitive-behavioral social skills training for functional disability in schizophrenia. , 2009, Schizophrenia bulletin.

[19]  Louise Nadeau,et al.  Computerized ambulatory monitoring in psychiatry: a multi‐site collaborative study of acceptability, compliance, and reactivity , 2009, International journal of methods in psychiatric research.

[20]  C. Depp,et al.  Mobile Interventions for Severe Mental Illness: Design and Preliminary Data From Three Approaches , 2010, The Journal of nervous and mental disease.

[21]  Hongshik Ahn,et al.  Concurrent measurement of "real-world" stress and arousal in individuals with psychosis: assessing the feasibility and validity of a novel methodology. , 2010, Schizophrenia bulletin.

[22]  J. Smyth,et al.  Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. , 2010, British journal of health psychology.

[23]  Eric Granholm,et al.  Real-time electronic ambulatory monitoring of substance use and symptom expression in schizophrenia. , 2011, The American journal of psychiatry.

[24]  Inez Myin-Germeys,et al.  From environment to therapy in psychosis: a real-world momentary assessment approach. , 2011, Schizophrenia bulletin.

[25]  Eric Granholm,et al.  Examining a cognitive model of persecutory ideation in the daily life of people with schizophrenia: a computerized experience sampling study. , 2011, Schizophrenia bulletin.

[26]  E. Granholm,et al.  Predicting the occurrence, conviction, distress, and disruption of different delusional experiences in the daily life of people with schizophrenia. , 2012, Schizophrenia bulletin.