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      Integrating mobile-phone based assessment for psychosis into people’s everyday lives and clinical care: a qualitative study

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          Abstract

          Background

          Over the past decade policy makers have emphasised the importance of healthcare technology in the management of long-term conditions. Mobile-phone based assessment may be one method of facilitating clinically- and cost-effective intervention, and increasing the autonomy and independence of service users. Recently, text-message and smartphone interfaces have been developed for the real-time assessment of symptoms in individuals with schizophrenia. Little is currently understood about patients’ perceptions of these systems, and how they might be implemented into their everyday routine and clinical care.

          Method

          24 community based individuals with non-affective psychosis completed a randomised repeated-measure cross-over design study, where they filled in self-report questions about their symptoms via text-messages on their own phone, or via a purpose designed software application for Android smartphones, for six days. Qualitative interviews were conducted in order to explore participants’ perceptions and experiences of the devices, and thematic analysis was used to analyse the data.

          Results

          Three themes emerged from the data: i) the appeal of usability and familiarity, ii) acceptability, validity and integration into domestic routines, and iii) perceived impact on clinical care. Although participants generally found the technology non-stigmatising and well integrated into their everyday activities, the repetitiveness of the questions was identified as a likely barrier to long-term adoption. Potential benefits to the quality of care received were seen in terms of assisting clinicians, faster and more efficient data exchange, and aiding patient-clinician communication. However, patients often failed to see the relevance of the systems to their personal situations, and emphasised the threat to the person centred element of their care.

          Conclusions

          The feedback presented in this paper suggests that patients are conscious of the benefits that mobile-phone based assessment could bring to clinical care, and that the technology can be successfully integrated into everyday routine. However, it also suggests that it is important to demonstrate to patients the personal, as well as theoretical, benefits of the technology. In the future it will be important to establish whether clinical practitioners are able to use this technology as part of a personalised mental health regime.

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          Most cited references16

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          Rationale and standards for the systematic review of qualitative literature in health services research.

          Despite growing recognition of the need for qualitative methods in health services research, there have been few attempts to define quality standards for assessing the results. This article acknowledges the desirability of a plurality of standards. However, it is argued that three interrelated criteria can be identified as the foundation of good qualitative health research: interpretation of subjective meaning, description of social context, and attention to lay knowledge. These criteria can be examined in relation to different dimensions of any research report, including theoretical basis, sampling strategy, scope of data collection, description of data collected, and concern with generalizability or typicality. But if the concern is with the appropriateness of care and with understanding the factors that shape lay and clinical behavior, then these criteria must form the basis of a hierarchy of qualitative research evidence.
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            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.
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              The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application

              Background Semi-structured interview scales for psychosis are the gold standard approach to assessing psychotic and other symptoms. However, such assessments have limitations such as recall bias, averaging, insensitivity to change and variable interrater reliability. Ambulant, real-time self-report assessment devices may hold advantages over interview measures, but it needs to be shown that the data thus collected are valid, and the collection method is acceptable, feasible and safe. We report on a monitoring system for the assessment of psychosis using smartphone technology. The primary aims were to: i) assess validity through correlations of item responses with those on widely accepted interview assessments of psychosis, and ii) examine compliance to the procedure in individuals with psychosis of varying severity. Methods A total of 44 participants (acute or remitted DSM-4 schizophrenia and related disorders, and prodromal) completed 14 branching self-report items concerning key psychotic symptoms on a touch-screen mobile phone when prompted by an alarm at six pseudo-random times, each day, for one week. Face to face PANSS and CDS interviews were conducted before and after the assessment period blind to the ambulant data. Results Compliance as defined by completion of at least 33% of all possible data-points over seven days was 82%. In the 36 compliant participants, 5 items (delusions, hallucinations, suspiciousness, anxiety, hopelessness) showed moderate to strong (rho 0.6-0.8) associations with corresponding items from interview rating scales. Four items showed no significant correlation with rating scales: each was an item based on observable behaviour. Ambulant ratings showed excellent test-retest reliability and sensitivity to change. Conclusions Ambulatory monitoring of symptoms several times daily using smartphone software applications represents a feasible and valid way of assessing psychotic phenomena for research and clinical management purposes. Further evaluation required over longer assessment periods, in clinical trials and service settings.
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                Author and article information

                Contributors
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central
                1471-244X
                2013
                23 January 2013
                : 13
                : 34
                Affiliations
                [1 ]Division of Clinical Psychology, School of Psychological Sciences, the University of Manchester, Oxford Road, Manchester, United Kingdom
                [2 ]Faculty of Health Sciences, University of Southampton, Highfield, Southampton, United Kingdom
                [3 ]Institute of Population Health, the University of Manchester, Oxford Road, Manchester, United Kingdom
                [4 ]Department of Sociology, Social Policy and Criminology, the University of Liverpool, Liverpool, United Kingdom
                [5 ]School of Psychology, University of Wollongong, Northfields Avenue, Wollongong, Australia
                [6 ]Institute of Psychiatry, Kings College London, London, United Kingdom
                [7 ]Institute of Brain, Behaviour and Mental Health, the University of Manchester, Oxford Road, Manchester, United Kingdom
                [8 ]Room 3.309, Jean McFarlane Building Community Based Medicine, The University of Manchester, Oxford Road, Manchester, M139PL, UK
                Article
                1471-244X-13-34
                10.1186/1471-244X-13-34
                3562160
                23343329
                d73eeead-6552-467a-b9bf-ed728207fc5a
                Copyright ©2013 Palmier-Claus et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 September 2012
                : 2 January 2013
                Categories
                Research Article

                Clinical Psychology & Psychiatry
                ambulant,assessment,mobile-phone,psychosis,schizophrenia
                Clinical Psychology & Psychiatry
                ambulant, assessment, mobile-phone, psychosis, schizophrenia

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