Skip to main content

E-Health-Angebote in der Onkologie

eHealth interventions and applications in oncology



Die krankheits- und behandlungsbedingten Belastungen von Krebserkrankungen gehen in der Regel mit deutlichen Beeinträchtigungen der Lebensqualität der Betroffenen einher. Durch die starke Verbreitung des Internets in deutschen Haushalten stellen onkologische E‑Health-Angebote eine schnelle und einfach zugängliche mögliche Quelle der Unterstützung für Patienten und Angehörige dar. Angebote für Behandler umfassen z. B. Informationsportale, die Behandler auf die Bedürfnisse von Krebspatienten vorbereiten. Die Zukunft von onkologischen E‑Health Angeboten scheint in der Entwicklung von Angeboten für das Smartphone zu liegen.


Die Autoren beschreiben E‑Health-Angebote in der Onkologie, v. a. hinsichtlich Form und Inhalt, Inanspruchnahme und Wirksamkeit.


In der Literatur ist eine große Anzahl von Studien zu finden, die Prozess und Outcome von E‑Health-Interventionen evaluieren. Jedoch wird weiterhin ein Bedarf für gut designte höherwertige RCTs (randomisierte kontrollierte Studien) konstatiert, unter anderem um genauere Aussagen zur Wirksamkeit der Angebote treffen zu können. Häufig berichtete Probleme der E‑Health-Angebote sind hohe Dropout-Raten und ein Nachhohlbedarf bei der bisher weitgehend fehlenden Implementierung der in Studien erprobten Ansätze in die Versorgungspraxis. Das Einbeziehen von potenziellen Zielgruppen in den Entwicklungsprozess der Angebote könnte hilfreich sein, um das Auftreten von hohen Dropout-Raten und Usability-Problemen zu vermindern und sicherzustellen, dass die Angebote dem Bedarf der Patienten entsprechen.



The disease and treatment-related burdens of cancer are usually associated with a significant decrease in the quality of life of those affected. Due to the widespread use of the Internet in German households, oncological eHealth offers are a quick and easily accessible source of healthcare support for patients and their relatives. Programs for healthcare professionals include, e. g. information portals that prepare clinicians for the needs of cancer patients. The development of smartphone Apps seems to be the most promising concept for future eHealth programs.


The article describes eHealth programs in oncology, especially with respect to form and content, utilization and effectiveness.


Many studies in the literature have evaluated the process and outcome of eHealth interventions; however, there continues to be a need for well-designed randomized controlled trials (RCTs) to be able to make more accurate statements about the effectiveness of the support programs. Frequently reported problems with eHealth programs are high drop-out rates and better implementation of study-proven approaches into the daily healthcare system. Including potential stakeholders in the program development process could be helpful in reducing the high drop-out rates and usability issues and ensuring that offers match patients’ needs.

This is a preview of subscription content, access via your institution.


  1. 1.

    Aaronson NK, Mattioli V, Minton O et al (2014) Beyond treatment – psychosocial and behavioural issues in cancer survivorship research and practice. EJC Suppl 12:54–64

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Aujoulat I, D’Hoore W, Deccache A (2007) Patient empowerment in theory and practice: polysemy or cacophony? Patient Educ Couns 66:13–20.

    Article  PubMed  Google Scholar 

  3. 3.

    Borosund E, Cvancarova M, Ekstedt M et al (2013) How user characteristics affect use patterns in web-based illness management support for patients with breast and prostate cancer. J Med Internet Res 15:e34.

    Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Castleton K, Fong T, Wang-Gillam A et al (2011) A survey of Internet utilization among patients with cancer. Support Care Cancer 19:1183–1190.

    Article  PubMed  Google Scholar 

  5. 5.

    Charnock D, Shepperd S, Needham G et al (1999) DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health 53:105–111

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Christensen H, Griffiths KM, Farrer L (2009) Adherence in internet interventions for anxiety and depression. J Med Internet Res 11:e13.

    Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Corboy D, McLaren S, Jenkins M et al (2014) The relationship between geographic remoteness and intentions to use a telephone support service among Australian men following radical prostatectomy. Psychooncology 23:1259–1266

    Article  PubMed  Google Scholar 

  8. 8.

    De Vries H, Brug J (1999) Computer-tailored interventions motivating people to adopt health promoting behaviours: introduction to a new approach. Patient Educ Couns 36:99–105

    Article  PubMed  Google Scholar 

  9. 9.

    Eysenbach G (2005) The law of attrition. J Med Internet Res 7:e11.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Frost J, Okun S, Vaughan T et al (2011) Patient-reported outcomes as a source of evidence in off-label prescribing: analysis of data from PatientsLikeMe. J Med Internet Res 13:e6.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Frost J, Vermeulen IE, Beekers N (2014) Anonymity versus privacy: selective information sharing in online cancer communities. J Med Internet Res 16:e126.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Girgis A, Delaney GP, Arnold A et al (2016) Development and feasibility testing of PROMPT-care, an eHealth system for collection and use of patient-reported outcome measures for personalized treatment and care: a study protocol. JMIR Res Protoc 5:e227.

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Glynn LG, Hayes PS, Casey M et al (2014) Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial. Br J Gen Pract 64:e384–e391.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Golsteijn RHJ, Bolman C, Volders E et al (2017) Development of a computer-tailored physical activity intervention for prostate and colorectal cancer patients and survivors: OncoActive. BMC Cancer 17:446.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Halleberg Nyman M, Frank C, Langius-Eklof A et al (2017) Patients’ perspective on participation in care with or without the support of a smartphone app during radiotherapy for prostate cancer: qualitative study. JMIR Mhealth Uhealth 5:e107.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Harder H, Holroyd P, Burkinshaw L et al (2017) A user-centred approach to developing bWell, a mobile app for arm and shoulder exercises after breast cancer treatment. J Cancer Surviv 11:732–742.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Hong Y, Pena-Purcell NC, Ory MG (2012) Outcomes of online support and resources for cancer survivors: a systematic literature review. Patient Educ Couns 86:288–296.

    Article  PubMed  Google Scholar 

  18. 18.

    Hoybye MT, Dalton SO, Deltour I et al (2010) Effect of Internet peer-support groups on psychosocial adjustment to cancer: a randomised study. Br J Cancer 102:1348–1354.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Johansen MA, Berntsen GK, Schuster T et al (2012) Electronic symptom reporting between patient and provider for improved health care service quality: a systematic review of randomized controlled trials. Part 2: methodological quality and effects. J Med Internet Res 14:e126.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Johansen MA, Henriksen E, Horsch A et al (2012) Electronic symptom reporting between patient and provider for improved health care service quality: a systematic review of randomized controlled trials. Part 1: state of the art. J Med Internet Res 14:e118.

    Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Kaltenbaugh DJ, Klem ML, Hu L et al (2015) Using web-based interventions to support caregivers of patients with cancer: a systematic review. Oncol Nurs Forum 42:156–164.

    Article  PubMed  Google Scholar 

  22. 22.

    Kanera IM, Bolman CA, Willems RA et al (2016) Lifestyle-related effects of the web-based Kanker Nazorg Wijzer (cancer aftercare guide) intervention for cancer survivors: a randomized controlled trial. J Cancer Surviv 10:883–897.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Kanera IM, Willems RA, Bolman CA et al (2017) Long-term effects of a web-based cancer aftercare intervention on moderate physical activity and vegetable consumption among early cancer survivors: a randomized controlled trial. Int J Behav Nutr Phys Act 14:19.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Khalil GE (2012) When losing means winning: the impact of conflict in a digital game on young adults’ intentions to get protected from cancer. Games Health J 1:279–286.

    Article  PubMed  Google Scholar 

  25. 25.

    Klemm P, Hardie T (2002) Depression in internet and face-to-face cancer support groups: a pilot study. Oncol Nurs Forum 29:E45–E51.

    Article  PubMed  Google Scholar 

  26. 26.

    Koch W, Frees B (2016) Dynamische Entwicklung bei mobiler Internetnutzung sowie Audios und Videos: Ergebnisse der ARD/ZDF-Onlinestudie 2016. Media Perspekt 2016(9):418–437.

    Google Scholar 

  27. 27.

    Kuijpers W, Groen WG, Aaronson NK et al (2013) A systematic review of web-based interventions for patient empowerment and physical activity in chronic diseases: relevance for cancer survivors. J Med Internet Res 15:e37.

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Liebl P, Seilacher E, Koester MJ et al (2015) What cancer patients find in the internet: the visibility of evidence-based patient information – analysis of information on German websites. Oncol Res Treat 38:212–218.

    Article  PubMed  Google Scholar 

  29. 29.

    Lozano-Lozano M, Moral-Munoz JA, Galiano-Castillo N et al (2017) Designing BENECA m‑health APP, a mobile health application to monitor diet and physical activity in cancer survivors. Lect Notes Comput Sci.

    Google Scholar 

  30. 30.

    Lu HY, Shaw BR, Gustafson DH (2011) Online health consultation: examining uses of an interactive cancer communication tool by low-income women with breast cancer. Int J Med Inform 80:518–528.

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Mayer DK, Terrin NC, Kreps GL et al (2007) Cancer survivors information seeking behaviors: a comparison of survivors who do and do not seek information about cancer. Patient Educ Couns 65:342–350.

    Article  PubMed  Google Scholar 

  32. 32.

    Mcalpine H, Joubert L, Martin-Sanchez F et al (2015) A systematic review of types and efficacy of online interventions for cancer patients. Patient Educ Couns 98:283–295.

    Article  PubMed  Google Scholar 

  33. 33.

    Mccorkle R, Ercolano E, Lazenby M et al (2011) Self-management: enabling and empowering patients living with cancer as a chronic illness. Ca Cancer J Clin 61:50–62

    Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Mitchell S, Heyden R, Heyden N et al (2011) A pilot study of motivational interviewing training in a virtual world. J Med Internet Res 13:e77

    Article  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Moessner M, Bauer S (2017) E‑Mental-Health und internetbasierte Psychotherapie. Psychotherapeut 62:251–266.

    Article  Google Scholar 

  36. 36.

    Mosa AS, Yoo I, Sheets L (2012) A systematic review of healthcare applications for smartphones. Bmc Med Inform Decis Mak 12:67.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Nghiem AZ, Mahmoud Y, Som R (2016) Evaluating the quality of internet information for breast cancer. Breast 25:34–37.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Nijland N, Cranen K, Boer H et al (2010) Patient use and compliance with medical advice delivered by a web-based triage system in primary care. J Telemed Telecare 16:8–11.

    Article  PubMed  Google Scholar 

  39. 39.

    Norman CD, Skinner HA (2006) eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res 8:e9.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Peters K, Kayali F, Reithofer A et al (2015) Serious game scores as health condition indicator for cancer patients. Stud Health Technol Inform 210:892–896

    PubMed  Google Scholar 

  41. 41.

    Prasad SM, Eggener SE, Lipsitz SR et al (2014) Effect of depression on diagnosis, treatment, and mortality of men with clinically localized prostate cancer. J Clin Oncol 32:2471–2478.

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Rains SA, Young V (2009) A Meta-analysis of research on formal computer-mediated support groups: examining group characteristics and health outcomes. Hum Commun Res 35:309–336.

    Article  Google Scholar 

  43. 43.

    Sajid MS, Iftikhar M, Monteiro RS et al (2008) Internet information on colorectal cancer: commercialization and lack of quality control. Colorectal Dis 10:352–356.

    CAS  Article  PubMed  Google Scholar 

  44. 44.

    Sanchez M, Rabin B, Gaglio B et al (2013) A systematic review of eHealth cancer prevention and control interventions: new technology, same methods and designs? Transl Behav Med 3:392–401

    Article  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Shaw BR, Hawkins R, Arora N et al (2006) An exploratory study of predictors of participation in a computer support group for women with breast cancer. Comput Inform Nurs 24:18–27.

    Article  PubMed  Google Scholar 

  46. 46.

    Shaw T, McGregor D, Sinclaire S et al (2014) E‑learning portal for professional development in cancer care. Educ Train 56:165–178

    Article  Google Scholar 

  47. 47.

    Van Eenbergen MC, Van De Poll-Franse LV, Heine P et al (2017) The impact of participation in online cancer communities on patient reported outcomes: systematic review. JMIR Cancer 3:e15

    Article  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Van Gemert-Pijnen JE, Nijland N, Van Limburg M et al (2011) A holistic framework to improve the uptake and impact of eHealth technologies. J Med Internet Res 13:e111.

    Article  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Ventura F, Ohlen J, Koinberg I (2013) An integrative review of supportive e‑health programs in cancer care. Eur J Oncol Nurs 17:498–507.

    Article  PubMed  Google Scholar 

  50. 50.

    Willems RA, Bolman CA, Mesters I et al (2015) The Kanker Nazorg Wijzer (cancer aftercare guide) protocol: the systematic development of a web-based computer tailored intervention providing psychosocial and lifestyle support for cancer survivors. BMC Cancer 15:580.

    Article  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Willems RA, Bolman CA, Mesters I et al (2017) Short-term effectiveness of a web-based tailored intervention for cancer survivors on quality of life, anxiety, depression, and fatigue: randomized controlled trial. Psychooncology 26:222–230.

    Article  PubMed  Google Scholar 

  52. 52.

    Wolf JA, Moreau JF, Akilov O et al (2013) Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA dermatology 149:422–426

Download references


Die Erstellung des Beitrags wurde mit Mitteln der Damp-Stiftung gefördert.

Author information



Corresponding author

Correspondence to Lukas Lange M.Sc. Psychologie.

Ethics declarations


L. Lange, H. Schulz und C. Bleich geben an, dass kein Interessenkonflikt besteht.

Dieser Beitrag beinhaltet keine von den Autoren durchgeführten Studien an Menschen oder Tieren.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Lange, L., Schulz, H. & Bleich, C. E-Health-Angebote in der Onkologie. Onkologe 24, 406–410 (2018).

Download citation


  • Telemedizin
  • Krebs
  • Versorgungsforschung
  • Lebensqualität
  • Psychoonkologie


  • Telemedicine
  • Neoplasms
  • Health services research
  • Quality of life
  • Psycho-oncology