IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3100-d1063984.html
   My bibliography  Save this article

Personalized Computerized Training for Cognitive Dysfunction after COVID-19: A Before-and-After Feasibility Pilot Study

Author

Listed:
  • Jon Andoni Duñabeitia

    (AcqVA Aurora Center, Department of Languages and Culture, UiT the Arctic University of Norway, 9019 Tromsø, Norway
    Centro de Investigación Nebrija en Cognición (CINC), Facultad de Lenguas y Educación, Universidad Nebrija, 28248 Madrid, Spain)

  • Francisco Mera

    (Unidad Long COVID y Síndromes Postvirales, Blue Health Care, 28036 Madrid, Spain)

  • Óscar Baro

    (Centro de Salud de Galapagar, 28260 Madrid, Spain)

  • Tamen Jadad-Garcia

    (Vivenxia Group, Beverly Hills, CA 90210, USA)

  • Alejandro R. Jadad

    (Centre for Digital Therapeutics, Toronto, ON M5G 2C4, Canada)

Abstract

The current pilot study was set to evaluate the feasibility and potential benefit of a personalized computerized cognitive training (CCT) intervention to improve cognitive function among people living with post-acute sequelae of COVID-19 (PASC). Seventy three adults who self-reported cognitive dysfunction more than 3 months after a diagnosis of COVID-19 took part in an 8-week training study. Participants’ general cognitive function was assessed before they completed as many cognitive daily training sessions as they wished during an 8-week period, using a personalized CCT application at home. At the end of this period, participants repeated the general cognitive function assessment. The differences between the scores at 8 weeks and baseline in five cognitive domains (attention, memory, coordination, perception, reasoning), complemented with analyses of the changes based on the participants’ age, training time, self-reported health level at baseline and time since the initial COVID-19 infection. Participants had significant cognitive dysfunction and self-reported negative health levels at baseline. Most of the participants obtained higher scores after CCT in each of the domains as compared with baseline. The magnitude of this score increase was high across domains. It is concluded that a self-administered CCT based on gamified cognitive tasks could be an effective way to ameliorate cognitive dysfunction in persons with PASC. The ClinicalTrials.gov identifier is NCT05571852.

Suggested Citation

  • Jon Andoni Duñabeitia & Francisco Mera & Óscar Baro & Tamen Jadad-Garcia & Alejandro R. Jadad, 2023. "Personalized Computerized Training for Cognitive Dysfunction after COVID-19: A Before-and-After Feasibility Pilot Study," IJERPH, MDPI, vol. 20(4), pages 1-10, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3100-:d:1063984
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3100/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/4/3100/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emily E. Chasco & Kimberly Dukes & DeShauna Jones & Alejandro P. Comellas & Richard M. Hoffman & Alpana Garg, 2022. "Brain Fog and Fatigue following COVID-19 Infection: An Exploratory Study of Patient Experiences of Long COVID," IJERPH, MDPI, vol. 19(23), pages 1-12, November.
    2. Heidi Ledford, 2022. "Long-COVID treatments: why the world is still waiting," Nature, Nature, vol. 608(7922), pages 258-260, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jose L. Tapia & María Teresa Taberner-Bonastre & David Collado-Martínez & Athanasios Pouptsis & Martín Núñez-Abad & Jon Andoni Duñabeitia, 2023. "Effectiveness of a Computerized Home-Based Cognitive Stimulation Program for Treating Cancer-Related Cognitive Impairment," IJERPH, MDPI, vol. 20(6), pages 1-16, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:gam:jijerp:v:20:y:2023:i:4:p:3100-:d:1063984. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      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.