Literature DB >> 32169545

Age differences in patterns and confidence of using internet and social media for cancer-care among cancer survivors.

Lawson Eng1, Jackie Bender2, Katrina Hueniken3, Shayan Kassirian4, Laura Mitchell5, Reenika Aggarwal4, Chelsea Paulo4, Elliot C Smith4, Ilana Geist4, Karmugi Balaratnam4, Alexander Magony4, Mindy Liang4, Dongyang Yang6, Jennifer M Jones2, M Catherine Brown4, Wei Xu7, Samir C Grover8, Shabbir M H Alibhai9, Geoffrey Liu10, Abha A Gupta11.   

Abstract

OBJECTIVES: The internet and social media provide information and support to cancer survivors, and adolescent and young adults (AYA, age < 40 years), adults, and older (age 65+ years) cancer survivors may have different needs. We evaluated the impact of age on cancer-related internet and social media use and confidence in evaluating online information for cancer-care decision making.
MATERIALS AND METHODS: Cancer survivors completed a convenience cross-sectional survey evaluating their cancer-related internet and social media use and their confidence in using these resources for decision making. Multivariable regression models evaluated the impact of age on usage patterns and confidence.
RESULTS: Among 371 cancer survivors, 58 were older adults and 138 were AYA; 74% used the internet and 39% social media for cancer care; 48% felt confident in using online information for cancer-care decisions. Compared to adult survivors, there was a non-significant trend for older survivors to be less likely to use the internet for cancer-care information(aOR = 0.49, 95% CI[0.23-1.03], P = .06), while AYA were more likely to use social media for cancer-care (aOR = 1.79[1.08-2.99], P = .03). Although confidence at using online information for cancer-care decision making did not differ between age groups, increasing age had a non-significant trend towards reduced confidence (aOR = 0.99 per year [0.97-1.00], P = .09). Most commonly researched and desired online information were causes/risk factors/symptoms, treatment options, and prognosis/outcomes.
CONCLUSIONS: Age may influence the use of internet and social media for cancer-care, and older cancer survivors may be less confident at evaluating online information for cancer-care decision making. Future research should explore other strategies at meeting the informational needs of older cancer survivors.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adolescent and young adults; Cancer survivorship; Geriatric oncology; Internet use; Patient education; Social media

Mesh:

Year:  2020        PMID: 32169545     DOI: 10.1016/j.jgo.2020.02.011

Source DB:  PubMed          Journal:  J Geriatr Oncol        ISSN: 1879-4068            Impact factor:   3.599


  4 in total

Review 1.  WhatsApp Messenger use in oncology: a narrative review on pros and contras of a flexible and practical, non-specific communication tool.

Authors:  Vittorio Gebbia; Dario Piazza; Maria Rosaria Valerio; Alberto Firenze
Journal:  Ecancermedicalscience       Date:  2021-12-13

2.  A distance-based, randomized controlled trial for reducing sedentary behavior among prostate cancer survivors: a study protocol.

Authors:  Linda Trinh; Catherine M Sabiston; Shabbir M H Alibhai; Jennifer M Jones; Kelly P Arbour-Nicitopoulos; Daniel Santa Mina; Kristin Campbell; Guy E Faulkner
Journal:  BMC Public Health       Date:  2022-04-28       Impact factor: 4.135

3.  Adapting systematic scoping study methods to identify cancer-specific physical activity opportunities in Ontario, Canada.

Authors:  Angela J Fong; Catherine M Sabiston; Kaitlyn D Kauffeldt; Jennifer R Tomasone
Journal:  Syst Rev       Date:  2022-01-18

4.  Differences in Internet Use and eHealth Needs of Adolescent and Young Adult Versus Older Cancer Patients; Results from the PROFILES Registry.

Authors:  Carla Vlooswijk; Olga Husson; Emiel J Krahmer; Rhodé Bijlsma; Suzanne E J Kaal; Sophia H E Sleeman; Lonneke V van de Poll-Franse; Winette T A van der Graaf; Nadine Bol; Mies C van Eenbergen
Journal:  Cancers (Basel)       Date:  2021-12-16       Impact factor: 6.639

  4 in total

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