Skip to main content

Advertisement

Log in

Optimizing cancer care through mobile health

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

Abstract

The survival rates for patients living with cancer are increasing, due to recent advances in detection, prevention and treatment. It has been estimated that there were 28 million cancer survivors around the world in 2012. In the UK, for patients diagnosed in 2007, it is predicted that more than half of them will survive their cancer for 5 years or more. A large majority of cancer survivors report unmet supportive care needs and distressing symptoms and adverse long-term consequences related to their cancer. Cancer management could be optimized to better meet patients demand through technology, including mobile health (m-Health). m-Health is defined as the use of mobile communications and network technologies for health care. m-Health can help both patients and health-care professionals and play an important part in managing and delivering cancer care including managing side effects, supporting drug adherence, providing cancer information, planning and follow up and detecting and diagnosing cancer. Health authorities have already published guidelines regulating m-Health to insure patient safety and improve the accountability of its applications.

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.

Similar content being viewed by others

References

  1. American Cancer Society (2014) Cancer facts and statistics. American Cancer Society. http://www.cancer.org/research/cancerfactsstatistics/. Accessed 24 Mar 2014

  2. Cancer Research UK (2014) Cancer survival statistics. Cancer Research UK. http://www.cancerresearchuk.org/cancer-info/cancerstats/survival/. Accessed 24 Mar 2014

  3. Boyes AW, Girgis A, D’Este C, Zucca AC (2012) Prevalence and correlates of cancer survivors’ supportive care needs 6 months after diagnosis: a population-based cross-sectional study. BMC Cancer 12(1):150

    Article  PubMed Central  PubMed  Google Scholar 

  4. Williamson S (2011) A report on the dispensing and supply of oral chemotherapy and systemic anticancer medicines in primary care. BOPA, RPS, NPA

  5. Istepanian R, Laxminarayan S, Pattichis CS (2006) M-health: emerging mobile health systems. In: Istepanian R, Laxminarayan S, Pattichis CS (eds) 2006 XXX, 624 p 182 illus 0-387-26558-9 Berlin: Springer, 1

  6. WHO (2010) mHealth new horizons for health through mobile technologies. Global observatory for eHealth series, vol 3. WHO, Geneva

    Google Scholar 

  7. ABI Research (2014) Q4 2013 Smartphone OS results: is Google losing control of the android ecosystem?

  8. Sanou B (2013) The World in 2013: ICT facts and figures. International Telecommunications Union

  9. Bender JL, Yue RYK, To MJ, Deacken L, Jadad AR (2013) A lot of action, but not in the right direction: systematic review and content analysis of smartphone applications for the prevention, detection, and management of cancer. J Med Internet Res 15(12)

  10. Klasnja P, Pratt W (2012) Healthcare in the pocket: mapping the space of mobile-phone health interventions. J Biomed Inform 45(1):184–198

    PubMed Central  PubMed  Google Scholar 

  11. Wangberg SC, Årsand E, Andersson N (2006) Diabetes education via mobile text messaging. J Telemed Telecare 12(suppl 1):55–56

    PubMed  Google Scholar 

  12. Chomutare T, Fernandez-Luque L, Årsand E, Hartvigsen G (2011) Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J Med Internet Res 13(3)

  13. Krishna S, Boren SA, Balas EA (2009) Healthcare via cell phones: a systematic review. Telemed e-Health 15(3):231–240

    Google Scholar 

  14. Holtz B, Lauckner C (2012) Diabetes management via mobile phones: a systematic review. Telemed e-Health 18(3):175–184

    Google Scholar 

  15. Scherr D, Zweiker R, Kollmann A, Kastner P, Schreier G, Fruhwald F (2006) Mobile phone-based surveillance of cardiac patients at home. J Telemed Telecare 12(5):255–261

    CAS  PubMed  Google Scholar 

  16. Rubel P, Fayn J, Nollo G, Assanelli D, Li B, Restier L, Adami S, Arod S, Atoui H, Ohlsson M (2005) Toward personal eHealth in cardiology. Results from the EPI-MEDICS telemedicine project. J Electrocardiol 38(4):100–106

    PubMed  Google Scholar 

  17. Rosser BA, Eccleston C (2011) Smartphone applications for pain management. J Telemed Telecare 17(6):308–312

    PubMed  Google Scholar 

  18. Pandey A, Hasan S, Dubey D, Sarangi S (2013) Smartphone apps as a source of cancer information: changing trends in health information-seeking behavior. J Cancer Educ 28(1):138–142

    PubMed  Google Scholar 

  19. Obermayer JL, Riley WT, Asif O, Jean-Mary J (2004) College smoking-cessation using cell phone text messaging. J Am Coll Health 53(2):71–78

    PubMed  Google Scholar 

  20. Haug S, Meyer C, Schorr G, Bauer S, John U (2009) Continuous individual support of smoking cessation using text messaging: a pilot experimental study. Nicotine Tob Res 11(8):915–923

    PubMed  Google Scholar 

  21. Fairhurst K, Sheikh A (2008) Texting appointment reminders to repeated non-attenders in primary care: randomised controlled study. Qual Saf Health Care 17(5):373–376

    CAS  PubMed  Google Scholar 

  22. Consolvo S, Klasnja P, McDonald DW, Avrahami D, Froehlich J, LeGrand L, Libby R, Mosher K, Landay JA (2008) Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays. In: Proceedings of the 10th international conference on Ubiquitous computing. ACM, pp 54–63

  23. Department of Health (2007) The cancer reform strategy. London

  24. NHS Scotland (2007) Better health, better care: a discussion document. Scottish Executive, Edinburgh

    Google Scholar 

  25. Dranitsaris G, Maroun J, Shah A (2005) Estimating the cost of illness in colorectal cancer patients who were hospitalized for severe chemotherapy-induced diarrhea. Can J Gastroenterol 19(2):83–87

    PubMed  Google Scholar 

  26. Chen-Hardee S, Chrischilles EA, Voelker MD, Brooks JM, Scott S, Link BK, Delgado D (2006) Population-based assessment of hospitalizations for neutropenia from chemotherapy in older adults with non-Hodgkin’s lymphoma (United States). Cancer Causes Control 17(5):647–654

    PubMed  Google Scholar 

  27. Kuderer NM, Dale DC, Crawford J, Cosler LE, Lyman GH (2006) Mortality, morbidity, and cost associated with febrile neutropenia in adult cancer patients. Cancer 106(10):2258–2266

    Article  PubMed  Google Scholar 

  28. Coolbrandt A, Van den Heede K, Vanhove E, De Bom A, Milisen K, Wildiers H (2011) Immediate versus delayed self-reporting of symptoms and side effects during chemotherapy: does timing matter? Eur J Oncol Nurs 15(2):130–136

    PubMed  Google Scholar 

  29. Homsi J, Walsh D, Rivera N, Rybicki LA, Nelson KA, LeGrand SB, Davis M, Naughton M, Gvozdjan D, Pham H (2006) Symptom evaluation in palliative medicine: patient report vs systematic assessment. Support Care Cancer 14(5):444–453

    PubMed  Google Scholar 

  30. Kayyali R, Nabhani-Gebara S, Olszewska A, Adeniyi M (2012) Investigation of bowel and breast cancer patients’ perception of counselling and written information provided regarding the oral chemotherapy agent capecitabine. Int J Pharm Pract 20(S2):85

    Google Scholar 

  31. Nabhani-Gebara S, Kayyali R, Olszewska A (2013) Patient counselling—a dying art? Pharmacoepidemiol Drug Saf 22(6):684–685

    Google Scholar 

  32. Nabhani-Gebara S, Kayyali R, Olszewska A (2012) Patients’ perception of educational material surrounding their cancer treatment. Eur J Oncol Nurs 16(S1):S30

    Google Scholar 

  33. Weaver A, Young A, Rowntree J, Townsend N, Pearson S, Smith J, Gibson O, Cobern W, Larsen M, Tarassenko L (2007) Application of mobile phone technology for managing chemotherapy-associated side-effects. Ann Oncol 18(11):1887–1892

    CAS  PubMed  Google Scholar 

  34. Maguire R, Miller M, Sage M, Norrie J, McCann L, Taylor L, Kearney N (2005) Results of a UK based pilot study of a mobile phone based advanced symptom management system (ASyMS) in the remote monitoring of chemotherapy related toxicity. Clin Eff Nurs 9(3):202–210

    Google Scholar 

  35. Ghafoor S, Kayyali R, Nabhani-Gebara S, Sobnath D, Philip N (2013) Evaluating patients’ acceptability of alternative means of support for oral chemotherapy counselling and side effect management using a smartphone application. Int J Pharm Pract 21(2):27–28

    Google Scholar 

  36. Maguire R, McCann L, Miller M, Kearney N (2008) Nurse’s perceptions and experiences of using of a mobile-phone-based Advanced Symptom Management System (ASyMS©) to monitor and manage chemotherapy-related toxicity. Eur J Oncol Nurs 12(4):380–386

    CAS  PubMed  Google Scholar 

  37. Kearney N, McCann L, Norrie J, Taylor L, Gray P, McGee-Lennon M, Sage M, Miller M, Maguire R (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

    CAS  PubMed  Google Scholar 

  38. Gibson F, Aldiss S, Taylor RM, Maguire R, McCann L, Sage M, Kearney N (2010) Utilization of the Medical Research Council Evaluation Framework in the Development of Technology for Symptom Management: the ASyMS (c)-YG Study. Cancer Nurs 33(5):343–352

    PubMed  Google Scholar 

  39. Baggott C (2013) Patient-reported outcomes collected via smartphone: adolescent cancer patients’ nausea trajectories. Eur J Oncol Nurs 17(6):895

    Google Scholar 

  40. Partridge AH, Avorn J, Wang PS, Winer EP (2002) Adherence to therapy with oral antineoplastic agents. J Natl Cancer Inst 94(9):652–661

    PubMed  Google Scholar 

  41. Partridge AH, Ades T, Spicer P, Englander L, Wickerham DL (2007) Helping breast cancer patients adhere to oral adjuvant hormonal therapy regimens. Commun Oncol 4(12):725–731

    Google Scholar 

  42. Bedell CH (2003) A changing paradigm for cancer treatment: the advent of new oral chemotherapy agents. Clin J Oncol Nurs 7:5–9

    PubMed  Google Scholar 

  43. Thompson AMDJ, Fahey T, McCowan C (2007) Association of poor adherence to prescribed tamoxifen with risk of death from breast cancer. In: American Society of Clinical Oncology Breast Cancer Symposium USA

  44. Ruddy K, Mayer E, Partridge A (2009) Patient adherence and persistence with oral anticancer treatment. CA Cancer J Clin 59(1):56–66. doi:10.3322/caac.20004

    PubMed  Google Scholar 

  45. Banna GL, Collova E, Gebbia V, Lipari H, Giuffrida P, Cavallaro S, Condorelli R, Buscarino C, Tralongo P, Ferrau F (2010) Anticancer oral therapy: emerging related issues. Cancer Treat Rev 36(8):595–605. doi:10.1016/j.ctrv.2010.04.005

    PubMed  Google Scholar 

  46. Moore S (2007) Facilitating oral chemotherapy treatment and compliance through patient/family-focused education. Cancer Nurs 30(2):112–122

    PubMed  Google Scholar 

  47. Decker V, Spoelstra S, Miezo E, Bremer R, You M, Given C, Given B (2009) A pilot study of an automated voice response system and nursing intervention to monitor adherence to oral chemotherapy agents. Cancer Nurs 32(6):E20–E29

    PubMed  Google Scholar 

  48. Becker S, Kribben A, Meister S, Diamantidis CJ, Unger N, Mitchell A (2013) User profiles of a smartphone application to support drug adherence—experiences from the iNephro project. PLoS One 8(10):e78547

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  49. Smith TJ, Dow LA, Virago E, Khatcheressian J, Lyckholm LJ, Matsuyama R (2010) Giving honest information to patients with advanced cancer maintains hope. Oncology 24(6):521–525

    PubMed  Google Scholar 

  50. Smith TJ, Dow LA, Virago EA, Khatcheressian J, Matsuyama R, Lyckholm LJ (2011) A pilot trial of decision aids to give truthful prognostic and treatment information to chemotherapy patients with advanced cancer. J Support Oncol 9(2):79

    PubMed Central  PubMed  Google Scholar 

  51. Matsuyama RK, Wilson-Genderson M, Kuhn L, Moghanaki D, Vachhani H, Paasche-Orlow M (2011) Education level, not health literacy, associated with information needs for patients with cancer. Patient Educ Couns 85(3):e229–e236

    PubMed  Google Scholar 

  52. Dieng M, Trevena L, Turner RM, Wadolowski M, McCaffery K (2013) What Australian women want and when they want it: cervical screening testing preferences, decision‐making styles and information needs. Health Expect 16(2):177–188

    PubMed  Google Scholar 

  53. Mistry A, Wilson S, Priestman T, Damery S, Haque M (2010) How do the information needs of cancer patients differ at different stages of the cancer journey? A cross-sectional survey. JRSM Short Rep 1(4):30

    PubMed Central  CAS  PubMed  Google Scholar 

  54. Halkett GK, Kristjanson LJ, Lobb E, Little J, Shaw T, Taylor M, Spry N (2012) Information needs and preferences of women as they proceed through radiotherapy for breast cancer. Patient Educ Couns 86(3):396–404

    PubMed  Google Scholar 

  55. Güleser GN, Taşci S, Kaplan B (2012) The experience of symptoms and information needs of cancer patients undergoing radiotherapy. J Cancer Educ 27(1):46–53

    PubMed  Google Scholar 

  56. Klasnja P, Hartzler A, Powell C, Phan G, Pratt W (2010) Health weaver mobile: designing a mobile tool for managing personal health information during cancer care. In: AMIA Annual Symposium Proceedings. American Medical Informatics Association, p 392

  57. Payne KFB, Wharrad H, Watts K (2012) Smartphone and medical related App use among medical students and junior doctors in the United Kingdom (UK): a regional survey. BMC Med Inform Decis Mak 12(1):121

    PubMed Central  PubMed  Google Scholar 

  58. O’Neill S, Brady R (2012) Colorectal smartphone apps: opportunities and risks. Color Dis 14(9):e530–e534

    Google Scholar 

  59. Bibault J-E, Leroy T, Blanchard P, Biau J, Cervellera M, Diaz O, Faivre JC, Fumagalli I, Lescut N, Martin V (2014) Mobile technology and social media in the clinical practice of young radiation oncologists: results of a comprehensive nationwide cross-sectional study. Int J Radiat Oncol* Biol* Phys

  60. Rozati H, Shah SP, Shah N (2014) Smartphone applications for the clinical oncologist in UK practice. J Cancer Educ 1–7

  61. Brennan ME, Butow P, Marven M, Spillane AJ, Boyle FM (2011) Survivorship care after breast cancer treatment—experiences and preferences of Australian women. Breast 20(3):271–277

    PubMed  Google Scholar 

  62. Khatcheressian JL, Hurley P, Bantug E, Esserman LJ, Grunfeld E, Halberg F, Hantel A, Henry NL, Muss HB, Smith TJ (2013) Breast cancer follow-up and management after primary treatment: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol 31(7):961–965

    CAS  PubMed  Google Scholar 

  63. Hall SJ, Samuel LM, Murchie P (2011) Toward shared care for people with cancer: developing the model with patients and GPs. Fam Pract 28(5):554–564

    PubMed  Google Scholar 

  64. Pascoe SW, Neal RD, Allgar VL, Selby PJ, Wright EP (2004) Psychosocial care for cancer patients in primary care? Recognition of opportunities for cancer care. Fam Pract 21(4):437–442

    PubMed  Google Scholar 

  65. Rozmovits L, Rose P, Ziebland S (2004) In the absence of evidence, who chooses? A qualitative study of patients’ needs after treatment for colorectal cancer. J Health Serv Res Policy 9(3):159–164

    PubMed  Google Scholar 

  66. Cox K, Wilson E, Heath L, Collier J, Jones L, Johnston I (2006) Preferences for follow-up after treatment for lung cancer: assessing the nurse-led option. Cancer Nurs 29(3):176–187

    PubMed  Google Scholar 

  67. Donnelly P, Hiller L, Bathers S, Bowden S, Coleman R (2007) Questioning specialists’ attitudes to breast cancer follow-up in primary care. Ann Oncol

  68. Okera M, Baker NA, Hayward A, Selva‐Nayagam S (2011) Oncology workforce issues: the challenge of the outpatient clinic. Intern Med J 41(6):499–503

    CAS  PubMed  Google Scholar 

  69. Green J, Murchie P, Lee AJ (2013) Does patients’ place of residence affect the type of physician performing primary excision of cutaneous melanoma in northern Scotland? J Rural Health 29(s1):s35–s42

    PubMed  Google Scholar 

  70. Dickinson R, Hall S, Sinclair JE, Bond C, Murchie P (2014) Using technology to deliver cancer follow-up: a systematic review. BMC Cancer 14(1):311

    Article  PubMed Central  PubMed  Google Scholar 

  71. Matthew AG, Currie KL, Irvine J, Ritvo P, Santa Mina D, Jamnicky L, Nam R, Trachtenberg J (2007) Serial personal digital assistant data capture of health-related quality of life: a randomized controlled trial in a prostate cancer clinic. Health Qual Life Outcomes 5:38

    PubMed Central  PubMed  Google Scholar 

  72. Ott J, Ullrich A, Miller A (2009) The importance of early symptom recognition in the context of early detection and cancer survival. Eur J Cancer 45(16):2743–2748

    CAS  PubMed  Google Scholar 

  73. Pontén J, Adami HO, Bergström R, Dillner J, Friberg LG, Gustafsson L, Miller AB, Parkin DM, Sparén P, Trichopoulos D (1995) Strategies for global control of cervical cancer. Int J Cancer 60(1):1–26

    PubMed  Google Scholar 

  74. Teppo L, Dickman PW, Hakulinen T, Luostarinen T, Pukkala E, Sankila R, Söderman B (1999) Cancer patient survival—patterns, comparisons, trends: a population-based cancer registry study in Finland. Acta Oncol 38(3):283–294

    CAS  PubMed  Google Scholar 

  75. Richards M, Westcombe A, Love S, Littlejohns P, Ramirez A (1999) Influence of delay on survival in patients with breast cancer: a systematic review. Lancet 353(9159):1119–1126

    CAS  PubMed  Google Scholar 

  76. Sant M, Allemani C, Capocaccia R, Hakulinen T, Aareleid T, Coebergh JW, Coleman MP, Grosclaude P, Martinez C, Bell J (2003) Stage at diagnosis is a key explanation of differences in breast cancer survival across Europe. Int J Cancer 106(3):416–422

    CAS  PubMed  Google Scholar 

  77. Vis AN, Roemeling S, Reedijk AM, Otto SJ, Schröder FH (2008) Overall survival in the intervention arm of a randomized controlled screening trial for prostate cancer compared with a clinically diagnosed cohort. Eur Urol 53(1):91–98

    PubMed  Google Scholar 

  78. Wang J-H, Changchien C-S, Hu T-H, Lee C-M, Kee K-M, Lin C-Y, Chen C-L, Chen T-Y, Huang Y-J, Lu S-N (2008) The efficacy of treatment schedules according to Barcelona Clinic Liver Cancer staging for hepatocellular carcinoma—survival analysis of 3892 patients. Eur J Cancer 44(7):1000–1006

    PubMed  Google Scholar 

  79. Horn L-C, Fischer U, Raptis G, Bilek K, Hentschel B (2007) Tumor size is of prognostic value in surgically treated FIGO stage II cervical cancer. Gynecol Oncol 107(2):310–315

    PubMed  Google Scholar 

  80. Wolf JA, Moreau JF, Akilov O, Patton T, English JC, Ho J, Ferris LK (2013) Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA Dermatol 149(4):422–426

    PubMed Central  PubMed  Google Scholar 

  81. Maier T, Kulichova D, Schotten K, Astrid R, Ruzicka T, Berking C, Udrea A (2014) Accuracy of a smartphone application using fractal image analysis of pigmented moles compared to clinical diagnosis and histological result. J Eur Acad Dermatol Venereol

  82. Mobasheri MH, Johnston M, King D, Leff D, Thiruchelvam P, Darzi A (2014) Smartphone breast applications—what’s the evidence? Breast. doi:10.1016/j.breast.2014.07.006

    PubMed  Google Scholar 

  83. Yuan C (2014) Mobile health in cancer care: a new solution or a potential risk? Cancer Nurs 37(2):83

    PubMed  Google Scholar 

  84. Agu E, Pedersen P, Strong D, Tulu B, He Q, Wang L, Li Y (2013) The smartphone as a medical device: assessing enablers, benefits and challenges. In: Internet-of-Things Networking and Control (IoT-NC), 2013 I.E. International Workshop of. IEEE, pp 48–52

  85. McCartney M (2013) How do we know whether medical apps work? BMJ: Br Med J 346

  86. Buijink AWG, Visser BJ, Marshall L (2012) Medical apps for smartphones: lack of evidence undermines quality and safety. Evidence Based Medicine:ebmed-2012-100885

  87. Medicines and Healthcare products Regulatory Agency (MHRA) (2014) Guidance on medical device stand-alone software (including apps). http://www.mhra.gov.uk/Howweregulate/Devices/Software/index.htm. Accessed 21 Aug 2014

  88. NHS Choices (2014) Health apps library. http://apps.nhs.uk/. Accessed 21 Aug 2014

  89. European Commission (2012) MEDDEV 2.1/6 -Guidelines on the qualification and classification of stand alone software used in healthcare within the regulatory framework of medical devices

  90. US Food and Drug Administration (2013) Mobile medical applications: guidance for Industry and Food and Drug Administration Staff

Download references

Conflict of interest

None declared.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bassel Odeh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Odeh, B., Kayyali, R., Nabhani-Gebara, S. et al. Optimizing cancer care through mobile health. Support Care Cancer 23, 2183–2188 (2015). https://doi.org/10.1007/s00520-015-2627-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00520-015-2627-7

Keywords

Navigation