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    Design decisions and data completeness for experience sampling methods used in psychosis: systematic review

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    Deakin et al 2022 669.pdf
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    Author
    Deakin, Emilia
    Ng, Fiona
    Young, Emma
    Thorpe, Naomi
    Craven, Michael P.
    Slade, Mike
    Keyword
    Psychosis
    Mobile applications
    Telemedicine
    Date
    2022
    
    Metadata
    Show full item record
    DOI
    10.1186/s12888-022-04319-x
    Publisher's URL
    https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-022-04319-x
    Abstract
    Background: The experience sampling method (ESM) is an intensive longitudinal research method. Participants complete questionnaires at multiple times about their current or very recent state. The design of ESM studies is complex. People with psychosis have been shown to be less adherent to ESM study protocols than the general population. It is not known how to design studies that increase adherence to study protocols. A lack of typology makes it is hard for researchers to decide how to collect data in a way that allows for methodological rigour, quality of reporting, and the ability to synthesise findings. The aims of this systematic review were to characterise the design choices made in ESM studies monitoring the daily lives of people with psychosis, and to synthesise evidence relating the data completeness to different design choices. Methods: A systematic review was conducted of published literature on studies using ESM with people with psychosis. Studies were included if they used digital technology for data collection and reported the completeness of the data set. The constant comparative method was used to identify design decisions, using inductive identification of design decisions with simultaneous comparison of design decisions observed. Weighted regression was used to identify design decisions that predicted data completeness. The review was pre-registered (PROSPERO CRD42019125545). Results: 38 studies were included. A typology of design choices used in ESM studies was developed, which comprised three superordinate categories of design choice: Study context, ESM approach and ESM implementation. Design decisions that predict data completeness include type of ESM protocol used, length of time participants are enrolled in the study, and if there is contact with the research team during data collection. Conclusions: This review identified a range of design decisions used in studies using ESM in the context of psychosis. Design decisions that influence data completeness were identified. Findings will help the design and reporting of future ESM studies. Results are presented with the focus on psychosis, but the findings can be applied across different mental health populations.
    Citation
    Deakin, E., Ng, F., Young, E., Thorpe, N., Newby, C., Coupland, C., Craven, M. P. & Slade, M. (2022). Design decisions and data completeness for experience sampling methods used in psychosis: systematic review. BMC Psychiatry, 22, pp. 669.
    Type
    Article
    URI
    http://hdl.handle.net/20.500.12904/15948
    Note
    © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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