A Comparison of Two Delivery Modalities of a Mobile Phone-Based Assessment for Serious Mental Illness: Native Smartphone Application vs Text-Messaging Only Implementations

Background Mobile phone–based assessment may represent a cost-effective and clinically effective method of monitoring psychotic symptoms in real-time. There are several software options, including the use of native smartphone applications and text messages (short message service, SMS). Little is known about the strengths and limitations of these two approaches in monitoring symptoms in individuals with serious mental illness. Objective The objective of this study was to compare two different delivery modalities of the same diagnostic assessment for individuals with non-affective psychosis—a native smartphone application employing a graphical, touch user interface against an SMS text-only implementation. The overall hypothesis of the study was that patient participants with sewrious mental illness would find both delivery modalities feasible and acceptable to use, measured by the quantitative post-assessment feedback questionnaire scores, the number of data points completed, and the time taken to complete the assessment. It was also predicted that a native smartphone application would (1) yield a greater number of data points, (2) take less time, and (3) be more positively appraised by patient participant users than the text-based system. Methods A randomized repeated measures crossover design was employed. Participants with currently treated Diagnostic and Statistical Manual (Fourth Edition) schizophrenia or related disorders (n=24) were randomly allocated to completing 6 days of assessment (four sets of questions per day) with a native smartphone application or the SMS text-only implementation. There was then a 1-week break before completing a further 6 days with the alternative delivery modality. Quantitative feedback questionnaires were administered at the end of each period of sampling. Results A greater proportion of data points were completed with the native smartphone application in comparison to the SMS text-only implementation (β = -.25, SE=.11, P=.02), which also took significantly less time to complete (β =.78, SE= .09, P<.001). Although there were no significant differences in participants’ quantitative feedback for the two delivery modalities, most participants reported preferring the native smartphone application (67%; n=16) and found it easier to use (71%; n=16). 33% of participants reported that they would be willing to complete mobile phone assessment for 5 weeks or longer. Conclusions Native smartphone applications and SMS text are both valuable methods of delivering real-time assessment in individuals with schizophrenia. However, a more streamlined graphical user interface may lead to better compliance and shorter entry times. Further research is needed to test the efficacy of this technology within clinical services, to assess validity over longer periods of time and when delivered on patients’ own phones.

[1]  J. Os,et al.  Emotional reactivity to daily life stress in psychosis. , 2001, Archives of general psychiatry.

[2]  Wanda Pratt,et al.  Healthcare in the pocket: Mapping the space of mobile-phone health interventions , 2012, J. Biomed. Informatics.

[3]  P. Garety,et al.  The measurement of delusional ideation in the normal population—-introducing the PDI (PEters et al. delusions inventory) , 1995, Schizophrenia Research.

[4]  P. Appelbaum,et al.  Dimensional approach to delusions: comparison across types and diagnoses. , 1999, The American journal of psychiatry.

[5]  I. Myin-Germeys,et al.  Mobile assessment guide for research in schizophrenia and severe mental disorders. , 2012, Schizophrenia bulletin.

[6]  C. May,et al.  Established users and the making of telecare work in long term condition management: implications for health policy. , 2011, Social science & medicine.

[7]  Illhoi Yoo,et al.  A Systematic Review of Healthcare Applications for Smartphones , 2012, BMC Medical Informatics and Decision Making.

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

[9]  M. Csíkszentmihályi,et al.  Validity and Reliability of the Experience‐Sampling Method , 1987, The Journal of nervous and mental disease.

[10]  C. Corcoran,et al.  Use of Palm computer as an adjunct to cognitive–behavioural therapy with an ultra‐high‐risk patient: a case report , 2008, Early intervention in psychiatry.

[11]  G. Dunn,et al.  Experience sampling research in individuals with mental illness: reflections and guidance , 2011, Acta psychiatrica Scandinavica.

[12]  John D. Ainsworth,et al.  The PsyGrid Experience: Using Web Services in the Study of Schizophrenia , 2007, Int. J. Heal. Inf. Syst. Informatics.

[13]  Til Wykes,et al.  Can't surf, won't surf: The digital divide in mental health , 2012, Journal of mental health.

[14]  D. Ben-Zeev,et al.  Comparing retrospective reports to real-time/real-place mobile assessments in individuals with schizophrenia and a nonclinical comparison group. , 2012, Schizophrenia bulletin.

[15]  E. Ziegel,et al.  Bootstrapping: A Nonparametric Approach to Statistical Inference , 1993 .

[16]  E. Granholm,et al.  Mobile Assessment and Treatment for Schizophrenia (MATS): a pilot trial of an interactive text-messaging intervention for medication adherence, socialization, and auditory hallucinations. , 2012, Schizophrenia bulletin.

[17]  D. Cicchetti,et al.  The Positive and Negative Syndrome Scale and the Brief Psychiatric Rating Scale: Reliability, Comparability, and Predictive Validity , 1992, The Journal of nervous and mental disease.

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

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

[20]  J. Ainsworth,et al.  Intelligent real-time therapy: Harnessing the power of machine learning to optimise the delivery of momentary cognitive–behavioural interventions , 2012, Journal of mental health.

[21]  M. Knapp,et al.  Cost of schizophrenia in England. , 2007, The journal of mental health policy and economics.

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

[23]  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.