IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i6p3121-d519439.html
   My bibliography  Save this article

Sociodemographic Characteristics and Interests of FeverApp Users

Author

Listed:
  • Silke Schwarz

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany)

  • David D. Martin

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany
    Department of Pediatrics, Eberhard-Karls University Tübingen, 72076 Tübingen, Germany)

  • Arndt Büssing

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany)

  • Olga Kulikova

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany)

  • Hanno Krafft

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany)

  • Moritz Gwiasda

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany)

  • Sara Hamideh Kerdar

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany)

  • Ingo Fingerhut

    (Practice Kleiner Piks, 44869 Bochum, Germany)

  • Ekkehart Jenetzky

    (Faculty of Health, School of Medicine, Witten/Herdecke University, 58448 Witten, Germany
    Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center of the Johannes-Gutenberg-University, 55131 Mainz, Germany)

Abstract

The FeverApp Registry is a model registry focusing on pediatric fever using a mobile app to collect data and present recommendations. The recorded interactions can clarify the relationship between user documentation and user information. This initial evaluation regarding features of participants and usage intensity of educational video, information library, and documentation of fever events covers the runtime of FeverApp for the first 14 months. Of the 1592 users, the educational opening video was viewed by 41.5%, the Info Library was viewed by 37.5%, and fever events were documented by 55.5%. In the current sample, the role of a mother ( p < 0.0090), having a higher level of education ( p = 0.0013), or being registered at an earlier date appear to be cues to take note of the training video, Info Library, and to document. The FeverApp was used slightly less by people with a lower level of education or who had a migration background, but at the current stage of recruitment no conclusion can be made. The user analyses presented here are plausible and should be verified with further dissemination of the registry. Ecological momentary assessment is used more than the information option, in line with the task of a registry. Data collection via app seems feasible.

Suggested Citation

  • Silke Schwarz & David D. Martin & Arndt Büssing & Olga Kulikova & Hanno Krafft & Moritz Gwiasda & Sara Hamideh Kerdar & Ingo Fingerhut & Ekkehart Jenetzky, 2021. "Sociodemographic Characteristics and Interests of FeverApp Users," IJERPH, MDPI, vol. 18(6), pages 1-13, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3121-:d:519439
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/6/3121/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/6/3121/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Smolinski, M.S. & Crawley, A.W. & Baltrusaitis, K. & Chunara, R. & Olsen, J.M. & Wójcik, O. & Santillana, M. & Nguyen, A. & Brownstein, J.S., 2015. "Flu near you: Crowdsourced symptom reporting spanning 2 influenza seasons," American Journal of Public Health, American Public Health Association, vol. 105(10), pages 2124-2130.
    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. Ricarda Möhler & Ekkehart Jenetzky & Silke Schwarz & Moritz Gwiasda & Larisa Rathjens & Henrik Szoke & David Martin, 2022. "Parental Confidence in Relation to Antipyretic Use, Warning Signs, Symptoms and Well-Being in Fever Management—Results from an App-Based Registry," IJERPH, MDPI, vol. 19(21), pages 1-13, November.

    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.
    1. Kuchler, Theresa & Russel, Dominic & Stroebel, Johannes, 2022. "JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook," Journal of Urban Economics, Elsevier, vol. 127(C).
    2. Sasikiran Kandula & Jeffrey Shaman, 2019. "Reappraising the utility of Google Flu Trends," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-16, August.
    3. David C Farrow & Logan C Brooks & Sangwon Hyun & Ryan J Tibshirani & Donald S Burke & Roni Rosenfeld, 2017. "A human judgment approach to epidemiological forecasting," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-19, March.
    4. William E. Allen & Han Altae-Tran & James Briggs & Xin Jin & Glen McGee & Andy Shi & Rumya Raghavan & Mireille Kamariza & Nicole Nova & Albert Pereta & Chris Danford & Amine Kamel & Patrik Gothe & Evr, 2020. "Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing," Nature Human Behaviour, Nature, vol. 4(9), pages 972-982, September.
    5. Andrew Perrault & Marie Charpignon & Jonathan Gruber & Milind Tambe & Maimuna Majumder, 2020. "Designing Efficient Contact Tracing Through Risk-Based Quarantining," NBER Working Papers 28135, National Bureau of Economic Research, Inc.
    6. Florence Neymotin, 2021. "Risky behaviour and non-vaccination," Journal of Bioeconomics, Springer, vol. 23(2), pages 151-161, July.
    7. Kennedy, Ryan & Mahajan, Aseem & Urpelainen, Johannes, 2020. "Crowdsourcing data on the reliability of electricity service: Evidence from a telephone survey in Uttar Pradesh, India," Energy Policy, Elsevier, vol. 145(C).
    8. Yulin Hswen & Elad Yom-Tov, 2021. "Analysis of a Vaping-Associated Lung Injury Outbreak through Participatory Surveillance and Archival Internet Data," IJERPH, MDPI, vol. 18(15), pages 1-17, August.
    9. Jingwei Li & Choon-Ling Sia & Zhuo Chen & Wei Huang, 2021. "Enhancing Influenza Epidemics Forecasting Accuracy in China with Both Official and Unofficial Online News Articles, 2019–2020," IJERPH, MDPI, vol. 18(12), pages 1-13, June.
    10. Salvatore Pirri & Valentina Lorenzoni & Gianni Andreozzi & Marta Mosca & Giuseppe Turchetti, 2020. "Topic Modeling and User Network Analysis on Twitter during World Lupus Awareness Day," IJERPH, MDPI, vol. 17(15), pages 1-18, July.

    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:18:y:2021:i:6:p:3121-:d:519439. 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.