IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v370y2025ics0277953625001807.html
   My bibliography  Save this article

Self-management of everyday female health: The role of self-care agency, patient-centered communication, and technology features in the intention to adopt period-tracking apps

Author

Listed:
  • Wu, Qiwei Luna
  • Pask, Elizabeth Babin

Abstract

Despite the increasing prevalence of health-related apps, the communication-related mechanisms driving their adoption remain underexplored. Approaching health-related self-tracking from a communication perspective, this study explores how patient-centered communication (PCC), supported by active patient participation, can affect women's intentions to adopt period-tracking apps. Using a cross-sectional survey with 485 women aged 18–49 who had visited a healthcare provider in the past year, our findings showed that individual self-care agency indirectly predicted higher PCC through better patient communication competence. Both communication competence and PCC were associated with increased adoption intentions for period-tracking apps, mediated by perceived ease of app use, app usefulness, and positive attitudes towards the apps. Our findings highlight the intricate interplay between personal communication abilities, healthcare provider interactions, and technology features in shaping health technology adoption. Theoretical and practical implications are discussed, offering insights into enhancing female health self-management through improved communication strategies and supportive technological features.

Suggested Citation

  • Wu, Qiwei Luna & Pask, Elizabeth Babin, 2025. "Self-management of everyday female health: The role of self-care agency, patient-centered communication, and technology features in the intention to adopt period-tracking apps," Social Science & Medicine, Elsevier, vol. 370(C).
  • Handle: RePEc:eee:socmed:v:370:y:2025:i:c:s0277953625001807
    DOI: 10.1016/j.socscimed.2025.117851
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953625001807
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2025.117851?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.

    References listed on IDEAS

    as
    1. Cheng Li, 2013. "Little's test of missing completely at random," Stata Journal, StataCorp LLC, vol. 13(4), pages 795-809, December.
    2. Stefan Angel & Franziska Disslbacher & Stefan Humer & Matthias Schnetzer, 2019. "What did you really earn last year?: explaining measurement error in survey income data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1411-1437, October.
    Full references (including those not matched with items on IDEAS)

    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. Wang, Lei & Jiang, Dingjing & Pang, Jiao & Yang, Conghong & Zhang, Siqi & Rozelle, Scott, 2024. "Preschool quality and developmental outcomes of preschool children in rural China: Evidence from longitudinal and subgroup analyses," Children and Youth Services Review, Elsevier, vol. 166(C).
    2. Stella Martin & Kevin Stabenow & Mark Trede, 2024. "Measurement Error in Earnings," CQE Working Papers 10824, Center for Quantitative Economics (CQE), University of Muenster.
    3. Mathias Silva & Michel Lubrano, 2024. "Bayesian inference for income inequality using a Pareto II tail with an uncertain threshold: Combining EU-SILC and WID data," AMSE Working Papers 2429, Aix-Marseille School of Economics, France.
    4. Ethan T. Hunt & Bridget Armstrong & Brie M. Turner-McGrievy & Michael W. Beets & Robert G. Weaver, 2021. "Differences by School Location in Summer and School Monthly Weight Change: Findings from a Nationally Representative Sample," IJERPH, MDPI, vol. 18(21), pages 1-12, November.
    5. Melissa Bohnert & Pablo Gracia, 2021. "Emerging Digital Generations? Impacts of Child Digital Use on Mental and Socioemotional Well-Being across Two Cohorts in Ireland, 2007–2018," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(2), pages 629-659, April.
    6. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
    7. Juvalta, Sibylle & Speranza, Camilla & Robin, Dominik & El Maohub, Yassmeen & Krasselt, Julia & Dreesen, Philipp & Dratva, Julia & Suggs, L. Suzanne, 2023. "Young people's media use and adherence to preventive measures in the “infodemic”: Is it masked by political ideology?," Social Science & Medicine, Elsevier, vol. 317(C).
    8. Nerea Gómez-Fernández & Mauro Mediavilla, 2022. "Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model," Mathematics, MDPI, vol. 10(5), pages 1-29, March.
    9. Jaap Nieuwenhuis & Rongqin Yu & Susan Branje & Wim Meeus & Pieter Hooimeijer, 2016. "Neighbourhood Poverty, Work Commitment and Unemployment in Early Adulthood: A Longitudinal Study into the Moderating Effect of Personality," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-12, December.
    10. John P. Hoffmann & Jared D. Thorpe & Mikaela J. Dufur, 2020. "Family Social Capital and Delinquent Behavior in the United Kingdom," Social Sciences, MDPI, vol. 9(10), pages 1-15, October.
    11. Sara Zedaker & Amanda Goodson, 2023. "The Empirical Relationship between Procedural Justice, Police Legitimacy, and Intimate Partner Violence Experiences among a Sample of Previously Adjudicated Youth," Social Sciences, MDPI, vol. 12(6), pages 1-13, June.
    12. Glenn Abela & William Gatt, "undated". "Who are the (dis)savers? A look at household saving patters and wealth composition in Malta," CBM Policy Papers PP/01/2022, Central Bank of Malta.
    13. Wilkinson, Lindsay R. & Schafer, Markus H. & Wilkinson, Renae, 2020. "How painful is a recession? An assessment of two future-oriented buffering mechanisms," Social Science & Medicine, Elsevier, vol. 255(C).
    14. A García-Suaza & J Lobo & S Montoya & J Ord��ez & J. D Oviedo, 2022. "Impact of the collection mode on labor income data. A study in the times of COVID19," Documentos de Trabajo 20396, Universidad del Rosario.
    15. Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Reconciling Reports: Modelling Employment Earnings and Measurement Errors Using Linked Survey and Administrative Data," IZA Discussion Papers 14405, Institute of Labor Economics (IZA).
    16. Marco Caliendo & Katrin Huber & Ingo E. Isphording & Jakob Wegmann, 2024. "On the Extent, Correlates, and Consequences of Reporting Bias in Survey Wages," Papers 2411.04751, arXiv.org.
    17. Ferreira, Francisco H. G. & Brunori, Paolo, 2024. "Inherited inequality, meritocracy, and the purpose of economic growth," LSE Research Online Documents on Economics 126263, London School of Economics and Political Science, LSE Library.
    18. Mathias Silva & Michel Lubrano, 2023. "Bayesian correction for missing rich using a Pareto II tail with unknown threshold: Combining EU-SILC and WID data," AMSE Working Papers 2320, Aix-Marseille School of Economics, France.
    19. Sonja Spitzer & Daniela Weber, 2019. "Reporting biases in self-assessed physical and cognitive health status of older Europeans," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    20. Li, Feng & Wang, Xintao, 2024. "Misreporting in household income and expenditure: Evidence from the Chinese Household Income Project," Economics Letters, Elsevier, vol. 237(C).

    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:eee:socmed:v:370:y:2025:i:c:s0277953625001807. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.