IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v41y2022i8p1639-1651.html
   My bibliography  Save this article

Mobile well-being in pregnancy: suggestions from a quasi-experimental controlled study

Author

Listed:
  • Claudia Carissoli
  • Deborah Gasparri
  • Giuseppe Riva
  • Daniela Villani

Abstract

‘BenEssere Mamma’ app is a mobile self-help intervention containing mindfulness meditations and ‘savoring the present moment’ exercises for use during pregnancy. The goal of this study is to investigate the effectiveness of this app in enhancing the psychological well-being of healthy childbearing women. A quasi-experimental controlled study was conducted with 74 pregnant women randomly assigned to experimental group (APP – mobile app and antenatal care) or control group (routine antenatal care). Participants were assessed on their psychological well-being before, after the 4 weeks of use of the app, and after the childbirth, using Ryff’s Psychological Well-Being Scale. Women’s acceptance and user experience with the app were also assessed through an ad hoc questionnaire. Experimental group reported an increase in sense of autonomy after intervention and after childbirth, and greater self-acceptance after the childbirth compared to the control group. Results are promising and future investigations are needed to understand if a more interactive or a longer intervention could lead to more effective results and if other populations could benefit of this opportunity. Furthermore, to take advantage of potentialities of mobile apps for promoting well-being in pregnant women, the integration of these tools within a wide public health project is encouraged.

Suggested Citation

  • Claudia Carissoli & Deborah Gasparri & Giuseppe Riva & Daniela Villani, 2022. "Mobile well-being in pregnancy: suggestions from a quasi-experimental controlled study," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(8), pages 1639-1651, June.
  • Handle: RePEc:taf:tbitxx:v:41:y:2022:i:8:p:1639-1651
    DOI: 10.1080/0144929X.2021.1894484
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2021.1894484
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2021.1894484?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:tbitxx:v:41:y:2022:i:8:p:1639-1651. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.