Asian Oncol Nurs.  2017 Sep;17(3):133-142. 10.5388/aon.2017.17.3.133.

Mobile Health for Breast Cancer Patients: A Systematic Review

• Chung BY
• Oh EH
• Song SJ

• KMID: 2392512
• DOI: http://doi.org/10.5388/aon.2017.17.3.133

Abstract

PURPOSE
The purpose of this study was to evaluate the effect of smart health care service in the breast cancer patients through a systematic review.
METHODS
For the study, 10 studies were selected by using PubMed, ScienceDirect, ProQuest, CINAHL, RISS4U, KISS, DBpia and the National Assembly Library. The Risk of Bias Assessment Tool was used by two reviewers to evaluate independently the quality of the selected articles.
RESULTS
10 studies for the analysis of the effect of smart health care service using mobile applications on breast cancer patients since 2000 were found. The purpose of mobile based intervention was to check whether post-operative outpatient follow up could be substituted with mobile apps to measure and monitor weight loss or weight management, sleep, mood, depression and mental state, exercise, uncertainty management and feedback.
CONCLUSION
Although mobile research is still limited, it may be sufficient to monitor the symptoms of breast cancer patients and to provide dietary and exercise interventions. This study suggests that various mobile apps can be used for breast cancer patients in various situations. Future study is recommended for repeated intervention studies on the effect of apps.

Keyword

Breast Neoplasms; Mobile Applications

MeSH Terms

Bias (Epidemiology)
Breast Neoplasms*
Breast*
Delivery of Health Care
Depression
Follow-Up Studies
Humans
Mobile Applications
Outpatients
Telemedicine*
Uncertainty
Weight Loss

Figure

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  Fig 1 Flow chart of study selection process.

Reference

1. American Cancer Society. Cancer treatment & survivorship facts & figures [Internet]. Accessed February 18, 2016. Available from: http://www.cancer.org/acs/groups/content/@research/documents/document/acspc-042801.pdf.

2. Ministry of Health and Welfare (KR). National Cancer Center (KR). Cancer facts & figures 2016 in the Republic of Korea [Internet]. Accessed January 20, 2017. Available from: http://www.cancer.go.kr/mbs/cancer/jsp/album/gallery.jsp?boardType=02&boardId=31817&listType=02&mcategoryId=&id=cancer_50207000000&addCancerTitle.

3. Lozano-Lozano M, Martín-Martín L, Galiano-Castillo N, Álvarez-Salvago F, Cantarero-Villanueva I, Fernández-Lao C, et al. Integral strategy to supportive care in breast cancer survivors through occupational therapy and a m-health system: design of a randomized clinical trial. BMC Med Inform Decis Mak. 2016; 16:150.

4. Rock CL, Doyle C, Demark-Wahnefried W, Meyerhardt J, Courneya KS, Schwartz AL, et al. Nutrition and physical activity guidelines for cancer survivors. CA Cancer J Clin. 2012; 62:243–274.

5. James EL, Stacey FG, Chapman K, Boyes AW, Burrows T, Girgis A, et al. Impact of a nutrition and physical activity intervention (ENRICH: Exercise and Nutrition Routine Improving Cancer Health) on health behaviors of cancer survivors and carers: a pragmatic randomized controlled trial. BMC Cancer. 2015; 15:710.

6. Kanera IM, Bolman CA, Willems RA, Mesters I, Lechner L. Lifestylerelated effects of the web-based Kanker Nazorg Wijzer (Cancer Aftercare Guide) intervention for cancer survivors: a randomized controlled trial. J Cancer Surviv. 2016; 10:883–897.

7. Chung BY, Oh EH. The effect of diet intervention in breast cancer: a meta-analysis. Asian Oncol Nurs. 2017; 17:1–11.

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

9. World Health Organization. mHealth: new horizons for health through mobile technologies. Geneva: World Health Organization;2011.

10. PricewaterhouseCoopers (UK). Emerging mhealth: paths for growth. London: PricewaterhouseCoopers;2014.

11. Lee JK, Lee SK, AN SJ. Mobile health standards-based smart healthcare technology. Commun Korea Inf Sci Soc. 2015; 33:31–44.

12. Mobasheri MH, Johnston M, King D, Leff D, Thiruchelvam P, Darzi A. Smartphone breast applications - what's the evidence? Breast. 2014; 23:683–689.

13. Bender JL, Yue RY, To MJ, Deacken L, Jadad AR. 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. 2013; 15:e287.

14. Higgins JP, Green S. Cochrane handbook for systematic reviews of interventions: version 5.1.0 [Internet]. Accessed June 6, 2016. Available from: http://handbook.cochrane.org.

15. Moher D, Liberati A, Tetzlaff J, Altman DG. PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009; 6:e1000097.

16. Armstrong KA, Semple JL, Coyte PC. Replacing ambulatory surgical follow-up visits with mobile app home monitoring: modeling cost-effective scenarios. J Med Internet Res. 2014; 16:e213.

17. Kearney N, McCann L, Norrie J, Taylor L, Gray P, McGee-Lennon M, et al. Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity. Support Care Cancer. 2009; 17:437–444.

18. Uhm KE, Yoo JS, Chung SH, Lee JD, Lee I, Kim JI, et al. Effects of exercise intervention in breast cancer patients: is mobile health (mHealth) with pedometer more effective than conventional program using brochure? Breast Cancer Res Treat. 2016; 161:443–452.

19. Egbring M, Far E, Roos M, Dietrich M, Brauchbar M, Kullak-Ublick GA, et al. A mobile app to stabilize daily functional activity of breast cancer patients in collaboration with the physician: a randomized controlled clinical trial. J Med Internet Res. 2016; 18:e238.

20. Youn SY, Lee JW, Jung KH, Kim JE, Lee JH, Lee G, et al. Pilot study of measuring daily quality of life in breast cancer patients through mobile application. Anxiety Mood. 2013; 9:128–134.

21. Sim Y, Sohn G, Son BH, Ahn SH, Lee JW, Shin YW. Measurement of depression in breast cancer patients by using a mobile application: a feasibility and reliability study. J Korean Neuropsychiatr Assoc. 2016; 55:234–244.

22. Jeong HJ. Effects of a app-based uncertainty intervention program for breast cancer survivors [dissertation]. Gwangju: Chonnam National Univ.;2014.

23. Min YH, Lee JW, Shin YW, Jo MW, Sohn G, Lee JH, et al. Daily collection of self-reporting sleep disturbance data via a smartphone app in breast cancer patients receiving chemotherapy: a feasibility study. J Med Internet Res. 2014; 16:e135.

24. Kim J, Lim S, Min YH, Shin YW, Lee B, Sohn G, et al. Depression screening using daily mental-health ratings from a smartphone application for breast cancer patients. J Med Internet Res. 2016; 18:e216.

25. Quintiliani LM, Mann DM, Puputti M, Quinn E, Bowen DJ. Pilot and feasibility test of a mobile health-supported behavioral counseling intervention for weight management among breast cancer survivors. JMIR Cancer. 2016; 2:e4.

26. Kim SY, Park JE, Seo HJ, Seo HS, Son HJ, Shin CM, et al. NECA's guidance for undertaking systematic reviews and meta-analyses for intervention. Seoul: National Evidence-based Healthcare Collaborating Agency;2011.

27. Lee G, Lee JW, Park JY, Shin YW, Jung KH, Oh EY, et al. “Pit-A-Pat”: development of a mobile health application for breast cancer patients. In : 2012 mHealth Summit; 2015 Dec 3–5; Washington, D.C.. Chicago, IL: mHealth;2012. p. 3–5.

28. Ruland CM, Andersen T, Jeneson A, Moore S, Grimsbø GH, Børøsund E, et al. Effects of an internet support system to assist cancer patients in reducing symptom distress: a randomized controlled trial. Cancer Nurs. 2013; 36:6–17.

29. Ruland CM, Maffei RM, Børøsund E, Krahn A, Andersen T, Grimsbø GH. Evaluation of different features of an eHealth application for personalized illness management support: cancer patients' use and appraisal of usefulness. Int J Med Inform. 2013; 82:593–603.