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Age and Age-Related Differences in Internet Usage of Cancer Patients

  • Julia C. M. van Weert
  • Sifra Bolle
  • Linda D. Muusses
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8515)

Abstract

This study investigates age and age-related differences in Internet usage of 952 cancer patients treated with chemotherapy. Older patients (> 65 years) reported significantly less Internet usage to find treatment-related information than younger ones (< 65 years). Still, 40.1% of the older patients used the internet regularly or often, as compared to 52.3% of the younger patients. About one quarter (26.4%) of the older patients and 14.6% of the younger patients didn’t use the Internet at all during their chemotherapy treatment. In the younger age group, men, patients with a palliative treatment goal, a more monitoring coping style, more information preferences and higher fulfilled information and communication needs reported more Internet usage than their counterparts. In the older age group, only a monitoring coping style, being male and a higher education level predicted Internet usage. The results of this study provide guidance to improve Internet usage of older patients.

Keywords

Aging Internet Information Seeking Cancer Chemotherapy 

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References

  1. 1.
  2. 2.
    Statistics Netherlands. Doodsoorzaken; Korte Lijst (Belangrijke Doodsoorzaken), Leeftijd, Geslacht (Causes of Mortality; Short List (Important Causes of Mortality), Age, Gender), http://statline.cbs.nl/StatWeb/publication/?VW=T&DM=SLNL&PA=7052_95&LA=NL
  3. 3.
    Signaleringscommissie Kanker van KWF Kankerbestrijding (Signaling Committee Cancer of the Dutch Cancer Society). Kanker in Nederland tot 2020. Trends en Prognoses (Cancer in the Netherlands until 2020. Trends and Prognoses). KWF Kankerbestrijding, Amsterdam (2011)Google Scholar
  4. 4.
    Arora, N.K., Johnson, P., Gustafson, D.H., McTavish, F., Hawkins, R.P., Pingree, S.: Barriers to Information Access, Perceived Health Competence, and Psychological Health Outcomes: Test of a Mediation Model in a Breast Cancer Sample. Patient Education and Counseling 47, 37–46 (2002)CrossRefGoogle Scholar
  5. 5.
    Eysenbach, G.: CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-Based and Mobile Health Interventions. Journal of Medical Internet Research 13 (2011)Google Scholar
  6. 6.
    Statistics Netherlands. ICT Gebruik van Personen naar Persoonskenmerken (ICT Use by Persons Subject to Personal Characteristics), http://statline.cbs.nl/StatWeb/publication/?VW=T&DM=SLNL&PA=71098NED&D1=33-133&D2=0,13&D3=a&HD=111219-1122&HDR=G1,G2&STB=T
  7. 7.
    Lustria, M.L., Cortese, J., Noar, S.M., Glueckauf, R.L.: Computer-Tailored Health Interventions Delivered over the Web: Review and Analysis of Key Components. Patient Education and Counseling 74, 156–173 (2009)CrossRefGoogle Scholar
  8. 8.
    KWF Kankerbestrijding (Dutch Cancer Society), http://www.kwf.nl
  9. 9.
    Katz, E., Gurcvitch, M., Haas, H.: On the Usc of thc Mass Media for Important Things. American Sociological Review 38, 164–181 (1973)CrossRefGoogle Scholar
  10. 10.
    Perse, E.M., Courtright, J.A.: Normative Images of Communication Media: Mass and Interpersonal Channels in the New Media Environment. Human Communication Research 19, 485–503 (1993)CrossRefGoogle Scholar
  11. 11.
    Rubin, A.M.: Uses, Gratifications, and Media Effects Research. In: Bryant, J., Zillman, D. (eds.) Perspectives on Media Effects, pp. 281–301. Lawrence Erlbaum Associates, Hillsdale (1986)Google Scholar
  12. 12.
    Tan, A.S.: Mass Communication Theories and Research, 2nd edn. John Wiley, New York (1985)Google Scholar
  13. 13.
    Muusses, L.D., van Weert, J.C.M., van Dulmen, S., Jansen, J.: Chemotherapy and Information Seeking Behavior: Characteristics of Patients Using Mass-Media Information Sources. Psycho-Oncology 21, 993–1002 (2012)CrossRefGoogle Scholar
  14. 14.
    Mor, V., Allen, S., Malin, M.: The Psychosocial Impact of Cancer on Older Versus Younger Patients and Their Families. Cancer 74(S7), 2118–2127 (1994)Google Scholar
  15. 15.
    Jansen, J., Van Weert, J.C.M., Van Dulmen, A.M., Heeren, T.J., Bensing, J.M.: Patient Education about Treatment in Cancer Care. An Overview of the Literature on Older Patients’ Needs. Cancer Nursing 30, 251–260 (2007)Google Scholar
  16. 16.
    Ong, L.M.L., Visser, M.R.M., Van Zuuren, F.J., Rietbroek, R.C., Lammes, F.B., De Haes, J.C.J.M.: Cancer Patients’ Coping Styles and Doctor-Patient Communication. Psycho-Oncology 8, 155–166 (1999)CrossRefGoogle Scholar
  17. 17.
    Miller, S.M.: Monitoring Versus Blunting Styles of Coping With Cancer Influence the Information Patients Want and Need about their Disease. Implications for Cancer Screening and Management. Cancer 76, 167–177 (1995)Google Scholar
  18. 18.
    Van Koerten, C., Feytens, M., Jansen, J., van Dulmen, S., van Weert, J.C.M.: Communicatiebehoeften van Patiënten met Kanker bij Aanvang van een Behandeling met Chemotherapie. Een Onderzoek naar de Rol van Curatief of Palliatief Behandeldoel, Leeftijd en Geslacht (Communication Needs of Cancer Patients Starting with Chemotherapy. A Study into the Role of Curative or Palliative Treatment Goal, Age and Gender). Verpleegkunde. Nederlands-Vlaams Wetenschappelijk Tijdschrift voor Verpleegkundigen 26, 4–12 (2011)Google Scholar
  19. 19.
    Galobardes, B., Shaw, M., Lawlor, D.A., Lych, J., Davey Smith, G.: Indicators of Socioeconomic Position (Part 1). J. of Epidemiology & Community 6, 7–12 (2006)CrossRefGoogle Scholar
  20. 20.
    Nederlandse Kankerregistratie beheerd door IKNL (Dutch Cancer Database managed by IKNL)Google Scholar
  21. 21.
    De Vries, M., Van Weert, J.C.M., Jansen, J., Lemmens, V.E.P.P., Maas, H.A.A.M.: Step by Step. The Need to Develop a Clinical Pathway for Older Cancer Patients. European Journal of Cancer 43(15), 2170–2178 (2007)CrossRefGoogle Scholar
  22. 22.
    Benjamin, A.E., Matthias, R.E.: Age, Consumer Direction, and Outcomes of Supportive Services at Home. The Gerontologist 5, 632–642 (2001)CrossRefGoogle Scholar
  23. 23.
    Silliman, R.A., Troyan, S.L., Guadagnoli, E., Kaplan, S.H., Greenfield, S.: The Impact of Age, Marital Status, and Physician-Patient Interactions on the Care of Older Women with Breast Carcinoma. Cancer 80, 1326–1334 (1997)CrossRefGoogle Scholar
  24. 24.
    Bolle, S., Muusses, L.D., Smets, E.M., Loos, E.F., van Weert, J.C.M.: Chemotherapie, Wat Weet u Ervan? Een Onderzoek naar de Publieke Kennis, Perceptie van Bijwerkingen, Informatiebehoeften en het Gebruik van Informatiebronnen met Betrekking tot Chemotherapie (Chemotherapy, What Do You Know About IT? A Study into Public Knowledge, Perception of Side Effects, Information Needs and Information Source Usage). Amsterdam School of Communication Research/ASCoR. Universiteit van Amsterdam, Amsterdam (2012)Google Scholar
  25. 25.
    Aaronson, N.K., Ahmedzai, S., Bergman, B., Bullinger, M., Cull, A., Duez, N.J., et al.: The European Organization for Research and Treatment of Cancer QL-C30: A Quality-of-Life Instrument for Use in International Clinical Trials in Oncology. Journal of the National Cancer Institute 85, 365–376 (1993)CrossRefGoogle Scholar
  26. 26.
    Pieterse, A., Van Dulmen, S., Ausems, M., Schoemaker, A., Beemer, F., Bensing, J.M.: QUOTE-Geneca: Development of a Counselee-Centered Instrument to Measure Needs and Preferences in Genetic Counseling for Hereditary Cancer. Psycho-Oncology 14, 361–375 (2005)CrossRefGoogle Scholar
  27. 27.
    Van der Ploeg, E., Mooren, T.T.M., Kleber, R.J., Van der Velden, P.G., Brom, D.: Construct Validation of the Dutch Version of the Impact of Event Scale. Psychological Assessment 16, 16–26 (2004)CrossRefGoogle Scholar
  28. 28.
    Miller, S.M.: Monitoring and Blunting: Validation of a Questionnaire to Assess Styles of Information under Threat. Journal of Personality and Social Psychology 52, 345–353 (1987)CrossRefGoogle Scholar
  29. 29.
    Van Zuren, F.J., De Groot, K.I., Mulder, N.L., Muris, P.: Coping with Medical Threat: an Evaluation of the Threatening Medical Situations Inventory (TMSI). Personality and Individual Differences 21, 16–26 (1996)Google Scholar
  30. 30.
    Thomas, R., Kaminski, E., Stanton, E., Williams, M.: Measuring Information Strategies in Oncology. Developing an Information Satisfaction Questionnaire. European Journal of Cancer Care 13, 65–70 (2004)Google Scholar
  31. 31.
    Van Weert, J.C.M., Jansen, J., De Bruijn, G.J., Noordman, J., Van Dulmen, S., Bensing, J.M.: QUOTEchemo: A Patient-Centered Instrument to Measure Quality of Communication Preceding Chemotherapy Treatment Through the Patients’ Eyes. European Journal of Cancer 45(17), 2967–2976 (2009)CrossRefGoogle Scholar
  32. 32.
    Rutten, H.J.T., den Dulk, M., Lemmens, V.E.P.P., van de Velde, C.J.H., Marijnen, C.A.M.: Controversies of Total Mesorectal Excision for Rectal Cancer in Elderly Patients. The Lancet Oncology 8, 494–501 (2008)CrossRefGoogle Scholar
  33. 33.
    Janssen-Heijnen, M.L.G., Smulders, S., Lemmens, V.E.E.P., Smeenk, F.W.J.M., van Geffen, H.J.A.A., Coebergh, J.W.W.: Effect of Comorbidity on the Treatment and Prognosis of Elderly Patients with Non-Small Cell Lung Cancer. Thorax 59, 602–607 (2004)CrossRefGoogle Scholar
  34. 34.
    Bonfadelli, H.: The Internet and Knowledge Gaps A Theoretical and Empirical Investigation. European Journal of Communication 17, 65–84 (2002)CrossRefGoogle Scholar
  35. 35.
    Hoffman, D.L., Novak, T.P.: Bridging the digital divide: The impact of race on computer access and Internet use. U.S. Department of Education. Office of Educational Research and Improvement (1998)Google Scholar
  36. 36.
    Oosterveer, D.: Mannen, Jongeren en Hoogopgeleiden Halen Meer Economisch Nut uit Internet (Men, Youngsters and Highly Educated People Get More Economic Benefit from the Internet) (2012), http://www.marketingfacts.nl/berichten/mannen-jongeren-en-hoogopgeleiden-halen-meer-economisch-nut-uit-internet
  37. 37.
    Petty, R.E., Cacioppo, J.T.: The Elaboration Likelihood Model of Persuasion. In: Berkowitz, L. (ed.) Advances in Experimental Social Psychology, pp. 123–205. Academic Press, New York (1986)Google Scholar
  38. 38.
    Sparks, L., Turner, M.M.: The Impact of Cognitive and Emotive Communication Barriers on Older Adult Message Processing of Cancer-Related Health Information: New Directions for Research. In: Sparks, L., O’Hair, H., Kreps, G. (eds.) Cancer, Communication and Aging, pp. 17–47. Hampton Press, Inc., New York (2008)Google Scholar
  39. 39.
    Pernice, K., Nielsen, J.: Web Usability for Senior Citizens: Design Guidelines Based on Usability Studies with People Age 65 and Older. Nielsen Norman Group, Fremont (2002)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Julia C. M. van Weert
    • 1
  • Sifra Bolle
    • 1
  • Linda D. Muusses
    • 2
  1. 1.Amsterdam School of Communication Research/ASCoRUniversity of AmsterdamAmsterdamThe Netherlands
  2. 2.Department of Social and Organisational PsychologyVU University AmsterdamThe Netherlands

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