Journal of Cancer Education

, Volume 30, Issue 2, pp 388–394 | Cite as

mHealth Education Applications Along the Cancer Continuum

Article

Abstract

The majority of adults worldwide own a mobile phone, including those in under-resourced communities. Mobile health (mhealth) education technologies present a promising mechanism for improving cancer prevention, treatment, and follow-up. The purpose of this study was to summarize the literature related to mobile phone (mhealth) applications for patient education specific to cancer and identify current recommendations from randomized studies. In particular, we were interested in identifying mobile phone applications along the cancer continuum, from cancer prevention to survivorship. The authors identified 28 articles reporting on mobile applications for patients related to cancer. Articles were identified in all categories along the cancer continuum, including health professional involvement in application development. Of these, six involved direct patient education, and eight focused on improving patient/professional communication and patient self-management. However, only six of the studies were randomized interventions. The potential for mobile applications to help overcome the “health care gap” has not yet been realized in the studies from the USA that were reviewed for this paper. However, early recommendations are emerging that support the use of mHealth communications to change behaviors for cancer prevention, early detection, and symptom management and improved patient-provider communication. Recommendations include short messages, use of multiple modalities as patient characteristics dictate comfort with mHealth communication, and the inclusion of patients and health professionals to develop and test applications. Tailoring mHealth to particular cultures, languages, and ethnic groups may also represent a unique possibility to provide accessible information and education at minimal cost for under-resourced communities and individuals.

Keywords

mHealth Mobile phone Cancer Cancer education Mobile health applications 

References

  1. 1.
    International Telecommunication Union. 2012. Accessed 4 Oct 2013. http://www.ITU.int
  2. 2.
    Smith A (2011) Americans and their cell phones. Pew Internet & American Life Project, Washington, DCGoogle Scholar
  3. 3.
    Price M et al (2013) Hispanic migrant farm workers’ attitudes toward mobile phone-based telehealth for management of chronic health conditions. J Med Internet Res 15(4):e76CrossRefPubMedCentralPubMedGoogle Scholar
  4. 4.
    Dang CM et al (2013) Exploring potential use of internet, E-mail, and instant text messaging to promote breast health and mammogram use among immigrant Hispanic women in Los Angeles County. Am Surg 79(10):997–1000PubMedGoogle Scholar
  5. 5.
    Riley WT et al (2011) Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med 1(1):53–71CrossRefPubMedCentralPubMedGoogle Scholar
  6. 6.
    Gustafson DH et al (2011) Explicating an evidence-based, theoretically informed, mobile technology-based system to improve outcomes for people in recovery for alcohol dependence. Subst Use Misuse 46(1):96–111CrossRefPubMedCentralPubMedGoogle Scholar
  7. 7.
    Hughes LD, Done J, Young A (2011) Not 2 old 2 TXT: there is potential to use email and SMS text message healthcare reminders for rheumatology patients up to 65 years old. Health Inform J 17(4):266–276CrossRefGoogle Scholar
  8. 8.
    Fiordelli M, Diviani N, Schulz PJ (2013) Mapping mHealth research: a decade of evolution. J Med Internet Res 15(5):e95CrossRefPubMedCentralPubMedGoogle Scholar
  9. 9.
    Panayi ND, Mars MM, Burd R (2013) The promise of digital (mobile) health in cancer prevention and treatment. Future Oncol 9(5):613–617CrossRefPubMedGoogle Scholar
  10. 10.
    Klasnja P, Pratt W (2012) Healthcare in the pocket: mapping the space of mobile-phone health interventions. J Biomed Inform 45(1):184–198CrossRefPubMedCentralPubMedGoogle Scholar
  11. 11.
    Vodopivec-Jamsek V et al (2012) Mobile phone messaging for preventive health care. Cochrane Database Syst Rev 12:CD007457PubMedGoogle Scholar
  12. 12.
    de Jongh T et al (2012) Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev 12:CD007459PubMedGoogle Scholar
  13. 13.
    Krishna S, Boren SA, Balas EA (2009) Healthcare via cell phones: a systematic review. Telemed J E Health 15(3):231–240CrossRefPubMedGoogle Scholar
  14. 14.
    Free C et al (2013) The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med 10(1):e1001362CrossRefPubMedCentralPubMedGoogle Scholar
  15. 15.
    Gurman TA, Rubin SE, Roess AA (2012) Effectiveness of mHealth behavior change communication interventions in developing countries: a systematic review of the literature. J Health Commun 17(Suppl 1):82–104CrossRefPubMedGoogle Scholar
  16. 16.
    Bender JL et al (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):e287CrossRefPubMedCentralPubMedGoogle Scholar
  17. 17.
    King AC et al (2013) Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PLoS One 8(4):e62613CrossRefPubMedCentralPubMedGoogle Scholar
  18. 18.
    Atienza AA et al (2006) Using electronic diaries to examine physical activity and other health behaviors of adults age 50+. J Aging Phys Act 14(2):192–202PubMedGoogle Scholar
  19. 19.
    Atienza AA et al (2008) Using hand-held computer technologies to improve dietary intake. Am J Prev Med 34(6):514–518CrossRefPubMedGoogle Scholar
  20. 20.
    Gegg-Harrison T et al (2009) Porting a cancer treatment prediction to a mobile device. Conf Proc IEEE Eng Med Biol Soc 2009:6218–6221PubMedGoogle Scholar
  21. 21.
    Alipour S et al (2012) Comparison of teaching about breast cancer via mobile or traditional learning methods in gynecology residents. Asian Pac J Cancer Prev 13(9):4593–4595CrossRefPubMedGoogle Scholar
  22. 22.
    Villani D et al (2012) The effects of a mobile stress management protocol on nurses working with cancer patients: a preliminary controlled study. Stud Health Technol Inform 173:524–528PubMedGoogle Scholar
  23. 23.
    Lana A et al (2013) Study protocol of a randomized controlled trial to improve cancer prevention behaviors in adolescents and adults using a web-based intervention supplemented with SMS. BMC Public Health 13:357CrossRefPubMedCentralPubMedGoogle Scholar
  24. 24.
    Greaney ML et al (2012) Electronic reminders for cancer prevention: factors associated with preference for automated voice reminders or text messages. Prev Med 55(2):151–154CrossRefPubMedCentralPubMedGoogle Scholar
  25. 25.
    Rosado L et al (2012) Extraction of ABCD rule features from skin lesions images with smartphone. Stud Health Technol Inform 177:242–247PubMedGoogle Scholar
  26. 26.
    Wadhawan T et al (2011) Implementation of the 7-point checklist for melanoma detection on smart handheld devices. Conf Proc IEEE Eng Med Biol Soc 2011:3180–3183PubMedCentralPubMedGoogle Scholar
  27. 27.
    Tran K et al (2011) Mobile teledermatology in the developing world: implications of a feasibility study on 30 Egyptian patients with common skin diseases. J Am Acad Dermatol 64(2):302–309CrossRefPubMedGoogle Scholar
  28. 28.
    Raza S, Sajun SZ, Selhorst CC (2012) Breast cancer in Pakistan: identifying local beliefs and knowledge. J Am Coll Radiol 9(8):571–577CrossRefPubMedGoogle Scholar
  29. 29.
    Khokhar A (2009) Short text messages (SMS) as a reminder system for making working women from Delhi Breast Aware. Asian Pac J Cancer Prev 10(2):319–322PubMedGoogle Scholar
  30. 30.
    Lakkis NA et al (2011) The effect of two types of sms-texts on the uptake of screening mammogram: a randomized controlled trial. Prev Med 53(4–5):325–327CrossRefPubMedGoogle Scholar
  31. 31.
    Kratzke C, Wilson S, Vilchis H (2013) Reaching rural women: breast cancer prevention information seeking behaviors and interest in Internet, cell phone, and text use. J Community Health 38(1):54–61CrossRefPubMedGoogle Scholar
  32. 32.
    Quinley KE et al (2011) Use of mobile telemedicine for cervical cancer screening. J Telemed Telecare 17(4):203–209CrossRefPubMedCentralPubMedGoogle Scholar
  33. 33.
    Kivuti-Bitok LW et al (2013) An exploration of opportunities and challenges facing cervical cancer managers in Kenya. BMC Res Notes 6:136CrossRefPubMedCentralPubMedGoogle Scholar
  34. 34.
    Kreuter MW et al (2012) Small media and client reminders for colorectal cancer screening: current use and gap areas in CDC’s colorectal cancer control program. Prev Chronic Dis 9:E131PubMedCentralPubMedGoogle Scholar
  35. 35.
    Wang S et al (2011) Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-care. Lab Chip 11(20):3411–3418CrossRefPubMedCentralPubMedGoogle Scholar
  36. 36.
    Massone C et al (2009) Mobile teledermoscopy—melanoma diagnosis by one click? Semin Cutan Med Surg 28(3):203–205CrossRefPubMedGoogle Scholar
  37. 37.
    Blake H (2008) Mobile phone technology in chronic disease management. Nurs Stand 23(12):43–46CrossRefPubMedGoogle Scholar
  38. 38.
    Blake H (2008) Innovation in practice: mobile phone technology in patient care. Br J Commun Nurs 13(4):160, 162–5CrossRefGoogle Scholar
  39. 39.
    Rao R et al (2012) Take two and text me in the morning: optimizing clinical time with a short messaging system. Plast Reconstr Surg 130(1):44–49CrossRefPubMedGoogle Scholar
  40. 40.
    Klasnja P et al (2011) Supporting cancer patients’ unanchored health information management with mobile technology. AMIA Annu Symp Proc 2011:732–741PubMedCentralPubMedGoogle Scholar
  41. 41.
    Odigie VI et al (2012) The mobile phone as a tool in improving cancer care in Nigeria. Psychooncology 21(3):332–335CrossRefPubMedGoogle Scholar
  42. 42.
    Kearney N et al (2009) Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity. Supp Care Cancer 17(4):437–444CrossRefGoogle Scholar
  43. 43.
    McCann L et al (2009) Patients’ perceptions and experiences of using a mobile phone-based advanced symptom management system (ASyMS) to monitor and manage chemotherapy related toxicity. Eur J Cancer Care (Engl) 18(2):156–164CrossRefGoogle Scholar
  44. 44.
    Larsen ME et al (2008) Chemotherapy side-effect management using mobile phones. Conf Proc IEEE Eng Med Biol Soc 2008:5152–5155PubMedGoogle Scholar
  45. 45.
    Weaver A et al (2007) Application of mobile phone technology for managing chemotherapy-associated side-effects. Ann Oncol 18(11):1887–1892CrossRefPubMedGoogle Scholar
  46. 46.
    Lee MK et al (2013) Development and formative evaluation of a web-based self-management exercise and diet intervention program with tailored motivation and action planning for cancer survivors. JMIR Res Protoc 2(1):e11CrossRefPubMedCentralPubMedGoogle Scholar
  47. 47.
    O’Neill S, Brady RR (2012) Colorectal smartphone apps: opportunities and risks. Colorectal Dis 14(9):e530–e534CrossRefPubMedGoogle Scholar
  48. 48.
    Maguire R et al (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):380–386CrossRefPubMedGoogle Scholar
  49. 49.
    Gibson F et al (2009) Involving health professionals in the development of an advanced symptom management system for young people: the ASyMS-YG study. Eur J Oncol Nurs 13(3):187–192CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Cancer Prevention Institute of CaliforniaFremontUSA

Personalised recommendations