Literature DB >> 32013612

eHealth Activity among African American and White Cancer Survivors: A New Application of Theory.

Nicole Senft1, Judith Abrams1, Anne Katz1, Charity Barnes1, Deborah H Charbonneau2, Jennifer L Beebe-Dimmer1, Ke Zhang3, Tara Eaton4, Elisabeth Heath1, Hayley S Thompson1.   

Abstract

eHealth is a promising resource for cancer survivors and may contribute to reducing racial disparities in cancer survivorship. This research applies the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine eHealth activity among African American (AfAm) and White cancer survivors. In a population-based sample of AfAm and White survivors (n = 300), a Poisson regression tested whether UTAUT constructs (facilitating conditions, social influence, perceived ease of use, perceived usefulness) and beliefs about security/trustworthiness of eHealth were associated with the number of eHealth activities respondents had used. To test whether the effects varied across racial groups, interactions between each of these five facets and survivor race were included in the model. The model adjusted for demographic characteristics, cancer history, and internet access and use. Across racial groups, facilitating conditions (IRR = 1.44, 95%CI [1.17, 1.77]) and perceived usefulness (IRR = 1.16, 95%CI [1.08, 1.24]) were associated with increased eHealth activity. A marginally significant interaction between race and perceived ease of use (IRR = 1.17, 95%CI [0.99, 1.39]) indicated this perception was associated with decreased eHealth activity for White but not AfAm survivors. A significant interaction between race and perceived security/trustworthiness (IRR = 1.16, 95%CI [1.02, 1.32]) indicated this perception was associated with increased eHealth activity for AfAm but not White survivors. Social influence was not associated with eHealth use for either group (IRR = 1.07, 95%CI [0.98, 1.16]). Interventions targeting attitudes about eHealth may encourage its adoption and use. Furthermore, eHealth tools intended for use among AfAm cancer survivors should ensure they are secure and emphasize trustworthiness to intended users.

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Year:  2019        PMID: 32013612      PMCID: PMC7006632          DOI: 10.1080/10410236.2018.1563031

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  13 in total

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3.  The health of older-adult, long-term cancer survivors.

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Journal:  Cancer Nurs       Date:  2005 Nov-Dec       Impact factor: 2.592

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Journal:  J Health Commun       Date:  2010

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Journal:  Support Care Cancer       Date:  2009-03-25       Impact factor: 3.603

6.  Breast cancer survivors' health-related quality of life : racial differences and comparisons with noncancer controls.

Authors:  Electra D Paskett; Catherine M Alfano; Mario A Davidson; Barbara L Andersen; Michelle J Naughton; Aurora Sherman; Paige Green McDonald; Jennifer Hays
Journal:  Cancer       Date:  2008-12-01       Impact factor: 6.860

7.  Anticipating the "Silver Tsunami": Prevalence Trajectories and Comorbidity Burden among Older Cancer Survivors in the United States.

Authors:  Shirley M Bluethmann; Angela B Mariotto; Julia H Rowland
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-07       Impact factor: 4.254

8.  Race, ethnicity, language, social class, and health communication inequalities: a nationally-representative cross-sectional study.

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Authors:  G Eysenbach
Journal:  J Med Internet Res       Date:  2001 Apr-Jun       Impact factor: 5.428

10.  Differences in Access to and Preferences for Using Patient Portals and Other eHealth Technologies Based on Race, Ethnicity, and Age: A Database and Survey Study of Seniors in a Large Health Plan.

Authors:  Nancy P Gordon; Mark C Hornbrook
Journal:  J Med Internet Res       Date:  2016-03-04       Impact factor: 5.428

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  3 in total

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Journal:  BMC Health Serv Res       Date:  2022-07-09       Impact factor: 2.908

2.  Improving Teen Girls' Skills for Using Electronic Health Information.

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Journal:  Health Lit Res Pract       Date:  2021-02-11

3.  Predicting Acceptance of e-Mental Health Interventions in Patients With Obesity by Using an Extended Unified Theory of Acceptance Model: Cross-sectional Study.

Authors:  Vanessa Rentrop; Mirjam Damerau; Adam Schweda; Jasmin Steinbach; Lynik Chantal Schüren; Marco Niedergethmann; Eva-Maria Skoda; Martin Teufel; Alexander Bäuerle
Journal:  JMIR Form Res       Date:  2022-03-17
  3 in total

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