Skip to main content

Advertisement

Log in

Effectiveness of Internet-based interventions in managing chemotherapy-related symptoms in patients with cancer: a systematic literature review

  • Review Article
  • Published:
Supportive Care in Cancer Aims and scope Submit manuscript

Abstract

Purpose

The aims of this review were to (1) examine the effectiveness of Internet-based interventions on cancer chemotherapy-related physical symptoms (severity and/or distress) and health-related quality of life (HRQOL) outcomes and (2) identify the design elements and processes for implementing these interventions in oncology practices.

Methods

A systematic review was performed. The Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials, EMBASE, MEDLINE, CINAHL, and PsycINFO were searched for studies dating from January 2000 through to October 2016. Based on pre-determined selection criteria, data was extracted from eligible studies. Methodological quality of studies was assessed using an adapted version of the Cochrane Collaboration Back Review Group checklist.

Results

The literature search yielded 1766 studies of which only six RCTs fulfilled the eligibility criteria. Although the content, duration, and frequency of interventions varied considerably across studies, commonly used elements included tailored information, education, self-management support, and communication with clinicians. Five studies measured symptom distress and four of them reported statistically significant differences between study groups. Of the three studies that measured HRQOL, two reported improvement (or no deterioration over time) for the intervention group. However, several methodological issues including high attrition rates, poor adherence to interventions, and use of non-validated measures affect confidence in the strength of evidence.

Conclusion

Despite the evidence in support of using the Internet as a worthwhile tool for effective patient engagement and self-management of chemotherapy-related symptoms outside clinic visits, methodological limitations in the evidence base require further well-planned and quality research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Cella D, Fallowfield LJ (2008) Recognition and management of treatment-related side effects for breast cancer patients receiving adjuvant endocrine therapy. Breast Cancer Res Treat 107(2):167–180. https://doi.org/10.1007/s10549-007-9548-1

    Article  CAS  PubMed  Google Scholar 

  2. Bloechl-Daum B, Deuson RR, Mavros P et al (2006) Delayed nausea and vomiting continue to reduce patients’ quality of life after highly and moderately emetogenic chemotherapy despite antiemetic treatment. J Clin Oncol 24(27):4472–4478. https://doi.org/10.1200/jco.2006.05.6382

    Article  CAS  PubMed  Google Scholar 

  3. Rajapakse D (2010) Symptom management during chemotherapy. Paediatr Child Health 20(3):129–134. https://doi.org/10.1016/j.paed.2009.10.005

    Article  Google Scholar 

  4. Breen SJ, Baravelli CM, Schofield PE et al (2009) Is symptom burden a predictor of anxiety and depression in patients with cancer about to commence chemotherapy? Med J Aust 190(7 Suppl):S99–104

    PubMed  Google Scholar 

  5. Van Leeuwen FE, Ng AK (2016) Long-term risk of second malignancy and cardiovascular disease after Hodgkin lymphoma treatment. Hematology Am Soc Hematol Educ Program 1:323–330

    Google Scholar 

  6. Cleeland CS, Mendoza TR, Wang XS et al (2000) Assessing symptom distress in cancer patients: the M.D. Anderson Symptom Inventory. Cancer 89(7):1634–1646

    Article  CAS  PubMed  Google Scholar 

  7. Stark L, Tofthagen L, Visovsky C et al (2012) The symptom experience of patients with cancer. J Hosp Palliat Nurs 14(1):61–70. https://doi.org/10.1097/NJH.0b013e318236de5c

    Article  PubMed  PubMed Central  Google Scholar 

  8. Frei E (1985) Curative cancer chemotherapy. Cancer Res 45:6523–6537

    PubMed  Google Scholar 

  9. Peterson DE, Lalla R (2010) Overview of complications of systemic chemotherapy. In Oral Complications of Cancer and its Management. Oxford University Press, Oxford

  10. 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(1):50–62

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kossert A, Howell D, Friedman A et al (2013) Characterization of symptom and disease self-management in Canadian Cancer Care: illness representations of sentinel disease sites. Ann Behav Med 45(2):S10 A028

    Google Scholar 

  12. Howell D, Liu G (2011) Can routine collection of patient reported outcome data actually improve person-centered health? Healthc Pap 11(4):42–47 discussion 55-48

    Article  PubMed  Google Scholar 

  13. Bultz BD, Holland JC (2006) Emotional distress in patients with cancer: the sixth vital sign. Commun Oncol 3(5):311–314

    Article  Google Scholar 

  14. Enright K, Grunfeld E, Yun L et al (2015) Population-based assessment of emergency room visits and hospitalizations among women receiving adjuvant chemotherapy for early breast cancer. J Oncol Pract 11(2):126–132. https://doi.org/10.1200/JOP.2014.001073

    Article  PubMed  Google Scholar 

  15. Hassett MJ, O’Malley AJ, Pakes JR et al (2006) Frequency and cost of chemotherapy-related serious adverse effects in a population sample of women with breast cancer. J Natl Cancer Inst 98(16):1108–1117

    Article  PubMed  Google Scholar 

  16. Vandyk AD, Harrison MB, Macartney G et al (2012) Emergency department visits for symptoms experienced by oncology patients: a systematic review. Support Care Cancer 20(8):1589–1599

    Article  PubMed  Google Scholar 

  17. Matthew-Maich N, Harris L, Ploeg J et al (2016) Designing, implementing, and evaluating mobile health technologies for managing chronic conditions in older adults: a scoping review. JMIR mHealth uHealth 4(2):e29

    Article  PubMed  PubMed Central  Google Scholar 

  18. Trajkovic-Vidakovice M, de Graeff A, Voest EE (2012) Symptoms tell it all: a systematic review of the value of symptom assessment to predict survival in advanced cancer patients. Crit Rev Oncol Hematol 84:130–148

    Article  Google Scholar 

  19. Puts MTE, Tu HA, Tourangeau A et al (2013) Factors influencing adherence to cancer treatment in older adults with cancer: a systematic review. Ann Oncol:1–14

  20. Stone AA, Broderick JE (2007) Real-time data collection for pain: appraisal and current status. Pain Med 8(Suppl 3):S85–S93. https://doi.org/10.1111/j.1526-4637.2007.00372.x

    Article  PubMed  Google Scholar 

  21. Bender JL, Radhakrishnan A, Diorio C et al (2011) Can pain be managed through the Internet? A systematic review of randomized controlled trials. Pain 152(8):1740–1750. https://doi.org/10.1016/j.pain.2011.02.012

    Article  PubMed  Google Scholar 

  22. Chumbler NR, Neugaard B, Kobb R et al (2005) Evaluation of a care coordination/home-telehealth program for veterans with diabetes: health services utilization and health-related quality of life. Eval Health Prof 28(4):464–478. https://doi.org/10.1177/0163278705281079

    Article  PubMed  Google Scholar 

  23. Louis AA, Turner T, Gretton M et al (2003) A systematic review of telemonitoring for the management of heart failure. Eur J Heart Fail 5(5):583–590

    Article  PubMed  Google Scholar 

  24. Rasmussen LM, Phanareth K, Nolte H et al (2005) Internet-based monitoring of asthma: a long-term, randomized clinical study of 300 asthmatic subjects. J Allergy Clin Immunol 115(6):1137–1142. https://doi.org/10.1016/j.jaci.2005.03.030

    Article  PubMed  Google Scholar 

  25. Barnett TE, Chumbler NR, Vogel WB et al (2006) The effectiveness of a care coordination home telehealth program for veterans with diabetes mellitus: a 2-year follow-up. Am J Manag Care 12(8):467–474

    PubMed  Google Scholar 

  26. Agboola SO, Ju W, Elfiky A et al (2015) The effect of technology-based interventions on pain, depression, and quality of life in patients with cancer: a systematic review of randomized controlled trials. J Med Internet Res 17(3):e65. https://doi.org/10.2196/jmir.4009

    Article  PubMed  PubMed Central  Google Scholar 

  27. Dickinson R, Hall S, Sinclair JE et al (2014) Using technology to deliver cancer follow-up: a systematic review. BMC Cancer 14:311. https://doi.org/10.1186/1471-2407-14-311

    Article  PubMed  PubMed Central  Google Scholar 

  28. Ventura F, Ohlen J, Koinberg I (2013) An integrative review of supportive e-health programs in cancer care. Eur J Oncol Nurs 17(4):498–507. https://doi.org/10.1016/j.ejon.2012.10.007

    Article  PubMed  Google Scholar 

  29. Moher D, Shamseer L, Clarke M et al (2015) Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev 4(1):1. https://doi.org/10.1186/2046-4053-4-1

    Article  PubMed  PubMed Central  Google Scholar 

  30. Furlan AD, Pennick V, Bombardier C et al (2009) 2009 updated method guidelines for systematic reviews in the Cochrane Back Review Group. Spine 34(18):1929–1941. https://doi.org/10.1097/BRS.0b013e3181b1c99f

    Article  PubMed  Google Scholar 

  31. 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(2):e37. https://doi.org/10.2196/jmir.2281

    Article  PubMed  PubMed Central  Google Scholar 

  32. Button KS, Ioannidis JPA, Mokrysz C et al (2013) Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 14(5):365–376. https://doi.org/10.1038/nrn3475

    Article  CAS  PubMed  Google Scholar 

  33. Dy SM, Roy J, Ott GE et al (2011) Tell Us: a web-based tool for improving communication among patients, families, and providers in hospice and palliative care through systematic data specification, collection, and use. J Pain Symptom Manag 42(4):526–534. https://doi.org/10.1016/j.jpainsymman.2010.12.006

    Article  Google Scholar 

  34. Bouma G, Admiraal JM, de Vries EG et al (2015) Internet-based support programs to alleviate psychosocial and physical symptoms in cancer patients: a literature analysis. Crit Rev Oncol Hematol 95(1):26–37. https://doi.org/10.1016/j.critrevonc.2015.01.011

    Article  PubMed  Google Scholar 

  35. Børøsund 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(3):e34. https://doi.org/10.2196/jmir.2285

    Article  PubMed  PubMed Central  Google Scholar 

  36. Cox A, Lucas G, Marcu A et al (2017) Cancer survivors’ experience with telehealth: a systematic review and thematic synthesis. J Med Internet Res 19(1):e11. https://doi.org/10.2196/jmir.6575

    Article  PubMed  PubMed Central  Google Scholar 

  37. van den Berg MH, Schoones JW, Vliet Vlieland TP (2007) Internet-based physical activity interventions: a systematic review of the literature. J Med Internet Res 9(3):e26. https://doi.org/10.2196/jmir.9.3.e26

    Article  PubMed  PubMed Central  Google Scholar 

  38. Basch E, Deal A, Kris M et al (2016) Symptom monitoring with patient-reported outcomes during routine cancer treatment: a randomized controlled trial. J Clin Oncol 34(6):557–565

    Article  CAS  PubMed  Google Scholar 

  39. Ruland CM, Andersen T, Jeneson A et al (2013) Effects of an internet support system to assist cancer patients in reducing symptom distress: a randomized controlled trial. Cancer Nurs 36(1):6–17. https://doi.org/10.1097/NCC.0b013e31824d90d4

    Article  PubMed  Google Scholar 

  40. Ryhanen AM, Rankinen S, Siekkinen M et al (2013) The impact of an empowering Internet-based Breast Cancer Patient Pathway program on breast cancer patients’ clinical outcomes: a randomised controlled trial. J Clin Nurs 22(7–8):1016–1025. https://doi.org/10.1111/jocn.12007

    Article  PubMed  Google Scholar 

  41. Kearney N, McCann L, Norrie J et al (2009) Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity. Support Care Cancer 17(4):437–444. https://doi.org/10.1007/s00520-008-0515-0

    Article  CAS  PubMed  Google Scholar 

  42. Borosund E, Cvancarova M, Moore SM et al (2014) Comparing effects in regular practice of e-communication and web-based self-management support among breast cancer patients: preliminary results from a randomized controlled trial. J Med Internet Res 16(12):e295. https://doi.org/10.2196/jmir.3348

    Article  PubMed  PubMed Central  Google Scholar 

  43. Berry DL, Hong F, Halpenny B et al (2014) Electronic self-report assessment for cancer and self-care support: results of a multicenter randomized trial. J Clin Oncol 32(3):199–205. https://doi.org/10.1200/jco.2013.48.6662

    Article  PubMed  Google Scholar 

  44. Basch E, Iasonos A, Barz A et al (2007) Long-term toxicity monitoring via electronic patient-reported outcomes in patients receiving chemotherapy. J Clin Oncol 25(34):5374–5380

    Article  PubMed  Google Scholar 

  45. Medical Research Council (2000) A framework for the development and evaluation of RCTs for complex interventions to improve health. Medical Research Council, London

  46. National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services. Common Terminology Criteria for Adverse Events (CTCAE) Version 4.0. NIH publication # 09-7473. Published May 29, 2009; Revised Version 4.02 September 15, 2009. Available at http://evs.nci.nih.gov/ftp1/CTCAE/CTCAE_4.03_2010-06-14_QuickReference_5x7.pdf. Accessed 15 Sept 2017

  47. Brown V, Sitzia J, Richardson A et al (2001) The development of the Chemotherapy Symptom Assessment Scale (C-SAS): a scale for the routine clinical assessment of the symptom experiences of patients receiving cytotoxic chemotherapy. Int J Nurs Stud 38(5):497–510

    Article  CAS  PubMed  Google Scholar 

  48. Eysenbach G (2003) The impact of the Internet on cancer outcomes. CA Cancer J Clin 53(6):356–371

    Article  PubMed  Google Scholar 

  49. Ryhanen AM, Siekkinen M, Rankinen S et al (2010) The effects of Internet or interactive computer-based patient education in the field of breast cancer: a systematic literature review. Patient Educ Couns 79(1):5–13. https://doi.org/10.1016/j.pec.2009.08.005

    Article  PubMed  Google Scholar 

  50. McLean S, Chandler D, Nurmatov U et al (2010) Telehealthcare for asthma. Cochrane Database Syst Rev 10. https://doi.org/10.1002/14651858.CD007717.pub2

  51. Ekeland AG, Bowes A, Flottorp S (2010) Effectiveness of telemedicine: a systematic review of reviews. Int J Med Inform 79(11):736–771. https://doi.org/10.1016/j.ijmedinf.2010.08.006

    Article  PubMed  Google Scholar 

  52. Elbert NJ, van Os-Medendorp H, van Renselaar W et al (2014) Effectiveness and cost-effectiveness of ehealth interventions in somatic diseases: a systematic review of systematic reviews and meta-analyses. J Med Internet Res 16(4):e110. https://doi.org/10.2196/jmir.2790

    Article  PubMed  PubMed Central  Google Scholar 

  53. Ritterband LM, Thorndike FP, Cox DJ et al (2009) A behavior change model for internet interventions. Ann Behav Med 38(1):18–27. https://doi.org/10.1007/s12160-009-9133-4

    Article  PubMed  PubMed Central  Google Scholar 

  54. Morrison LG, Yardley L, Powell J et al (2012) What design features are used in effective e-health interventions? A review using techniques from critical interpretive synthesis. Telemed e-Health 18(2):137–144. https://doi.org/10.1089/tmj.2011.0062

    Article  Google Scholar 

  55. Schofield P, Chambers S (2015) Effective, clinically feasible and sustainable: key design features of psycho-educational and supportive care interventions to promote individualised self-management in cancer care. Acta Oncol 54(5):805–812. https://doi.org/10.3109/0284186X.2015.1010016

    Article  PubMed  Google Scholar 

  56. Garcia SF, Cella D, Clauser SB et al (2007) Standardizing patient-reported outcomes assessment in cancer clinical trials: a patient-reported outcomes measurement information system initiative. J Clin Oncol 25(32):5106–5112. https://doi.org/10.1200/JCO.2007.12.2341

    Article  PubMed  Google Scholar 

  57. McAllister M, Dunn G, Payne K et al (2012) Patient empowerment: the need to consider it as a measurable patient-reported outcome for chronic conditions. BMC Health Serv Res 12:157. https://doi.org/10.1186/1472-6963-12-157

    Article  PubMed  PubMed Central  Google Scholar 

  58. Ruland CM, Maffei RM, Børøsund E et al (2013) Evaluation of different features of an eHealth application for personalized illness management support: cancer patients’ use and appraisal of usefulness. Int J Med Inform 82(7):593–603. https://doi.org/10.1016/j.ijmedinf.2013.02.007

    Article  PubMed  Google Scholar 

  59. Zhou YY, Kanter MH, Wang JJ et al (2010) Improved quality at Kaiser Permanente through email between physicians and patients. Health Aff (Millwood) 29(7):1370–1375. https://doi.org/10.1377/hlthaff.2010.0048

    Article  Google Scholar 

  60. Goldzweig LC, Shekelle PG, Towfigh AA et al (2012) Systematic review: secure messaging between providers and patients, and patients’ access to their own medical record. Evid Based Synth Prog 39(1)

  61. McGeady D, Kujala J, Ilvonen K (2008) The impact of patient-physician web messaging on healthcare service provision. Int J Med Inform 77(1):17–23. https://doi.org/10.1016/j.ijmedinf.2006.11.004

    Article  PubMed  Google Scholar 

  62. Strecher V (2007) Internet methods for delivering behavioral and health-related interventions (eHealth). Annu Rev Clin Psychol 3:53–76. https://doi.org/10.1146/annurev.clinpsy.3.022806.091428

    Article  PubMed  Google Scholar 

  63. Murray E, Burns J, May C et al (2011) Why is it difficult to implement e-health initiatives? A qualitative study. Implement Sci 6:6. https://doi.org/10.1186/1748-5908-6-6

    Article  PubMed  PubMed Central  Google Scholar 

  64. Varsi C, Ekstedt M, Gammon D et al (2015) Using the consolidated framework for implementation research to identify barriers and facilitators for the implementation of an internet-based patient-provider communication service in five settings: a qualitative study. J Med Internet Res 17(11):e262. https://doi.org/10.2196/jmir.5091

    PubMed  PubMed Central  Google Scholar 

  65. May C, Sibley A, Hunt K (2014) The nursing work of hospital-based clinical practice guideline implementation: an explanatory systematic review using normalisation process theory. Int J Nurs Studs 51(2):289–299. https://doi.org/10.1016/j.ijnurstu.2013.06.019

    Article  Google Scholar 

  66. Gallacher K, May CR, Montori VM et al (2011) Understanding patients’ experiences of treatment burden in chronic heart failure using normalization process theory. Ann Fam Med 9(3):235–243. https://doi.org/10.1370/afm.1249

    Article  PubMed  PubMed Central  Google Scholar 

  67. May C, Finch T (2009) Implementing, embedding, and integrating practices: an outline of normalization process theory. Sociology 43(3):535–554. https://doi.org/10.1177/0038038509103208

    Article  Google Scholar 

  68. Li J, Land L, Ray P (2008) Humanitarian Technology Challenge (HTC)-electronic health records perspective. A Report of Joint Project of IEEE and United Nations Foundation In

  69. Li J, Talaei-Khoei A, Seale H et al (2013) Health care provider adoption of eHealth: systematic literature review. Interact J Med Res 2(1):e7

    Article  PubMed  PubMed Central  Google Scholar 

  70. Nijland N, van Gemert-Pijnen J, Boer H et al (2008) Evaluation of internet-based technology for supporting self-care: problems encountered by patients and caregivers when using self-care applications. J Med Internet Res 10(2):e13. https://doi.org/10.2196/jmir.957

    Article  PubMed  PubMed Central  Google Scholar 

  71. Mair FS, May C, O’Donnell C et al (2012) Factors that promote or inhibit the implementation of e-health systems: an explanatory systematic review. Bull World Health Organ 90:357–364. https://doi.org/10.2471/BLT.11.099424

    Article  PubMed  PubMed Central  Google Scholar 

  72. Asua J, Orruño E, Reviriego E et al (2012) Healthcare professional acceptance of telemonitoring for chronic care patients in primary care. BMC Med Informat Decis Mak 12(1):139. https://doi.org/10.1186/1472-6947-12-139

    Article  Google Scholar 

  73. Lin C, Lin IC, Roan J (2012) Barriers to physicians’ adoption of healthcare information technology: an empirical study on multiple hospitals. J Med Syst 36(3):1965–1977. https://doi.org/10.1007/s10916-011-9656-7

    Article  PubMed  Google Scholar 

  74. Curry SJ (2012) eHealth research and healthcare delivery. Am J Prev Med 32(5):S127–S130. https://doi.org/10.1016/j.amepre.2007.01.026

    Article  Google Scholar 

  75. Bennett G, Glasgow R (2009) The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health 30:273–292. https://doi.org/10.1146/annurev.publhealth.031308.100235

    Article  PubMed  Google Scholar 

  76. Rogers E (2003) Diffusion of innovations. Free Press, New York

    Google Scholar 

  77. Eysenbach G (2005) The law of attrition. J Med Internet Res 1(e11). https://doi.org/10.2196/jmir.7.1.e11

  78. Gustafson DH, Hawkins RP, Boberg EW et al (2002) CHESS: 10 years of research and development in consumer health informatics for broad populations, including the underserved. Int J Med Inform 65(3):169–177

    Article  PubMed  Google Scholar 

  79. Murray E, Burns J, See TS et al (2005) Interactive health communication applications for people with chronic disease. Cochrane Database Syst Rev 4:CD004274. https://doi.org/10.1002/14651858.CD004274.pub4

    Google Scholar 

  80. Ruland CM, Holte HH, Roislien J et al (2010) Effects of a computer-supported interactive tailored patient assessment tool on patient care, symptom distress, and patients’ need for symptom management support: a randomized clinical trial. J Am Med Inform Assoc 17(4):403–410. https://doi.org/10.1136/jamia.2010.005660

    Article  PubMed  PubMed Central  Google Scholar 

  81. Eysenbach G (2005) The law of attrition. J Med Internet Res 7(1):e11. https://doi.org/10.2196/jmir.7.1.e11

    Article  PubMed  PubMed Central  Google Scholar 

  82. Williamson K (2005) Where one size does not fit all: understanding the needs of potential users of a portal to breast cancer knowledge online. J Health Commun 10(6):567–580. https://doi.org/10.1080/10810730500228961

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Howell.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

We have full control of all primary data and agree to allow the journal to review our data if requested.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Moradian, S., Voelker, N., Brown, C. et al. Effectiveness of Internet-based interventions in managing chemotherapy-related symptoms in patients with cancer: a systematic literature review. Support Care Cancer 26, 361–374 (2018). https://doi.org/10.1007/s00520-017-3900-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00520-017-3900-8

Keywords

Navigation