A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations.Citation formats

  • External authors:
  • Jasper E Palmier-Claus
  • Matthew Machin
  • Christine Barrowclough
  • Graham Dunn
  • Anne Rogers
  • Emma Barkus
  • Shitij Kapur
  • Til Wykes
  • Richard S Hopkins

Standard

A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations. / Ainsworth, John; Palmier-Claus, Jasper E; Machin, Matthew; Barrowclough, Christine; Dunn, Graham; Rogers, Anne; Buchan, Iain; Barkus, Emma; Kapur, Shitij; Wykes, Til; Hopkins, Richard S; Lewis, Shôn.

In: JOURNAL OF MEDICAL INTERNET RESEARCH, Vol. 15, No. 4, 2013.

Research output: Contribution to journalArticle

Harvard

Ainsworth, J, Palmier-Claus, JE, Machin, M, Barrowclough, C, Dunn, G, Rogers, A, Buchan, I, Barkus, E, Kapur, S, Wykes, T, Hopkins, RS & Lewis, S 2013, 'A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations.', JOURNAL OF MEDICAL INTERNET RESEARCH, vol. 15, no. 4. https://doi.org/10.2196/jmir.2328

APA

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Author

Ainsworth, John ; Palmier-Claus, Jasper E ; Machin, Matthew ; Barrowclough, Christine ; Dunn, Graham ; Rogers, Anne ; Buchan, Iain ; Barkus, Emma ; Kapur, Shitij ; Wykes, Til ; Hopkins, Richard S ; Lewis, Shôn. / A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations. In: JOURNAL OF MEDICAL INTERNET RESEARCH. 2013 ; Vol. 15, No. 4.

Bibtex

@article{dd489a775c17457bb7bc5aeb2b1dd296,
title = "A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations.",
abstract = "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",
author = "John Ainsworth and Palmier-Claus, {Jasper E} and Matthew Machin and Christine Barrowclough and Graham Dunn and Anne Rogers and Iain Buchan and Emma Barkus and Shitij Kapur and Til Wykes and Hopkins, {Richard S} and Sh{\^o}n Lewis",
note = "G0901434, Medical Research Council, United Kingdom, Medical Research Council, United Kingdom",
year = "2013",
doi = "10.2196/jmir.2328",
language = "English",
volume = "15",
journal = "JOURNAL OF MEDICAL INTERNET RESEARCH",
issn = "1439-4456",
publisher = "JMIR Publications Inc.,",
number = "4",

}

RIS

TY - JOUR

T1 - A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations.

AU - Ainsworth, John

AU - Palmier-Claus, Jasper E

AU - Machin, Matthew

AU - Barrowclough, Christine

AU - Dunn, Graham

AU - Rogers, Anne

AU - Buchan, Iain

AU - Barkus, Emma

AU - Kapur, Shitij

AU - Wykes, Til

AU - Hopkins, Richard S

AU - Lewis, Shôn

N1 - G0901434, Medical Research Council, United Kingdom, Medical Research Council, United Kingdom

PY - 2013

Y1 - 2013

N2 - 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

AB - 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

U2 - 10.2196/jmir.2328

DO - 10.2196/jmir.2328

M3 - Article

VL - 15

JO - JOURNAL OF MEDICAL INTERNET RESEARCH

JF - JOURNAL OF MEDICAL INTERNET RESEARCH

SN - 1439-4456

IS - 4

ER -