IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/111908.html
   My bibliography  Save this paper

Gamification frameworks and models for health contexts: an integrative review

Author

Listed:
  • Arouca, Murilo Guerreiro
  • Neves, Isa Beatriz Da Cruz
  • Barreto, Marcos Ennes
  • Cruz, Carlos Daniel Santana
  • Brito, Ricardo Lustosa

Abstract

Objective: identify in the literature the state of the art of gamification frameworks and models developed for health contexts. Methods: an integrative literature review of articles indexed in the LILACS, SciELO, PubMed, CINAHL, Scopus and Web of Science databases, in english and published between January 2010 and July 2020. Results: among the 10 studies included in the analysis, nine were published in journals and one in conference proceedings. As well as 100% of the analyzed studies were published between the years 2015 and 2020. Thus, among the articles are studies related to three health contexts, where six frameworks and two models were identified. Conclusions: it is noteworthy that the main gap related to the development of gamification frameworks and models for health contexts is the validation process. As well as, the trend and the possibility of observing the use of participatory approaches in models and frameworks of gamification for some health contexts was evidenced.

Suggested Citation

  • Arouca, Murilo Guerreiro & Neves, Isa Beatriz Da Cruz & Barreto, Marcos Ennes & Cruz, Carlos Daniel Santana & Brito, Ricardo Lustosa, 2021. "Gamification frameworks and models for health contexts: an integrative review," LSE Research Online Documents on Economics 111908, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:111908
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/111908/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    gamification; health; frameworks; models;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:111908. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.