IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0296015.html
   My bibliography  Save this article

Digital health interventions for cervical cancer care: A systematic review and future research opportunities

Author

Listed:
  • Md Abdur Razzak
  • Muhammad Nazrul Islam
  • Md Shadman Aadeeb
  • Tasfia Tasnim

Abstract

Background: Cervical cancer is a malignancy among women worldwide, which is responsible for innumerable deaths every year. The primary objective of this review study is to offer a comprehensive and synthesized overview of the existing literature concerning digital interventions in cervical cancer care. As such, we aim to uncover prevalent research gaps and highlight prospective avenues for future investigations. Methods: This study adopted a Systematic Literature Review (SLR) methodology where a total of 26 articles were reviewed from an initial set of 1110 articles following an inclusion-exclusion criterion. Results: The review highlights a deficiency in existing studies that address awareness dissemination, screening facilitation, and treatment provision for cervical cancer. The review also reveals future research opportunities like explore innovative approaches using emerging technologies to enhance awareness campaigns and treatment accessibility, consider diverse study contexts, develop sophisticated machine learning models for screening, incorporate additional features in machine learning research, investigate the impact of treatments across different stages of cervical cancer, and create more user-friendly applications for cervical cancer care. Conclusions: The findings of this study can contribute to mitigating the adverse effects of cervical cancer and improving patient outcomes. It also highlights the untapped potential of Artificial Intelligence and Machine Learning, which could significantly impact our society.

Suggested Citation

  • Md Abdur Razzak & Muhammad Nazrul Islam & Md Shadman Aadeeb & Tasfia Tasnim, 2023. "Digital health interventions for cervical cancer care: A systematic review and future research opportunities," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-26, December.
    • Handle: RePEc:plo:pone00:0296015
    DOI: 10.1371/journal.pone.0296015
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296015
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296015&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0296015?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
    ---><---

    References listed on IDEAS

    as
    1. Shicai Chen & Xinming Song & Zhihui Chen & Xinxin Li & Mingzhe Li & Haiying Liu & Jianchang Li, 2013. "CD133 Expression and the Prognosis of Colorectal Cancer: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    2. Shan Yu & Yiyi Yu & Naiqing Zhao & Jianlan Cui & Wei Li & Tianshu Liu, 2013. "c-Met as a Prognostic Marker in Gastric Cancer: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    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. Hong Wu & Xiao-wei Qi & Guang-ning Yan & Qing-bi Zhang & Chuan Xu & Xiu-wu Bian, 2014. "Is CD133 Expression a Prognostic Biomarker of Non-Small-Cell Lung Cancer? A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-8, June.
    2. repec:plo:pone00:0145164 is not listed on IDEAS

    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:plo:pone00:0296015. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.