Journal of Medical Systems

, 38:9995 | Cite as

Smartphones and Health Promotion: A Review of the Evidence

  • Fabrizio BertEmail author
  • Marika Giacometti
  • Maria Rosaria Gualano
  • Roberta Siliquini
Original Paper


Communication via mobile phones has become an essential tool for health professionals. The latest generation of smartphones is comparable to computers, allowing the development of new applications in health field. This paper aims to describe the use of smartphones by health professionals and patients in the field of health promotion. We conducted a bibliographic search through Pubmed. Then, research results were analyzed critically in order to select the best experiences available. All searches were carried out on November 2012 and were not limited by date. Each item from the initial search was reviewed independently by members of the project team. Initial search returned 472 items with PubMed. After the removal of duplicates, 406 items were reviewed by all the members of the project team and 21 articles were identified as specifically centered on health promotion. In the nutrition field there are applications that allow to count calories and keep a food diary or more specific platforms for people with food allergies, while about physical activity many applications suggest exercises with measurement of sports statistics. Some applications deal with lifestyles suggestions and tips. Finally, some positive experiences are reported in the prevention of falls in elderly and of sexually-transmitted diseases. Smartphones are transforming the ways of communication but the lack of monitoring of contents, the digital divide, the confidentiality of data, the exclusion of the health professional from the management of patient, are the main risks related to their use.


Smartphones Health promotion Public health m-Health Web applications 


Conflict of interest

The authors declare that they have no conflict of interest.


  1. 1.
    Laakko, T., Leppänen, J., Lähteenmäki, J., and Nummiaho, A., Mobile health and wellness application framework. Methods Inf. Med. 47(3):217–222, 2008.Google Scholar
  2. 2.
    Jones, R., and Goldsmith, L., What is the evidence for the benefits and outcomes for digital health services? Final Report to NHS Choices University of Plymouth, 2009.Google Scholar
  3. 3.
    De Waure, C., Cadeddu, C., Gualano, M. R., and Ricciardi, W., Telemedicine for the reduction of myocardial infarction mortality: A systematic review and a meta-analysis of published studies. Telemed. J. E. Health 18(5):323–328, 2012.CrossRefGoogle Scholar
  4. 4.
    Noel, H. C., Vogel, D. C., Erdos, J. J., Cornwall, D., and Levin, F., Home telehealth reduces healthcare costs. Telemed. J. E. Health 10(2):170–183, 2004.CrossRefGoogle Scholar
  5. 5.
    Free, C., Phillips, G., Felix, L., Galli, L., Patel, V., and Edwards, P., The effectiveness of M-health technologies for improving health and health services: A systematic review protocol. BMC Res. Notes 3:250, 2010.CrossRefGoogle Scholar
  6. 6.
    World Health Organization. mHealth: New horizons for health through mobile technologies. Glob. Obs. eHealth Ser. Vol 3, 2011, 2011.Google Scholar
  7. 7.
    Boulos, M. N., Maramba, I., and Wheeler, S., Wikis, blogs and podcasts: A new generation of Web-based tools for virtual collaborative clinical practice and education. BMC Med. Educ. 6:41, 2006.CrossRefGoogle Scholar
  8. 8.
    Istepanian, R., Jovanov, E., and Zhang, Y. T., Introduction to the special section on M-Health: Beyond seamless mobility and global wireless health-care connectivity. IEEE Trans. Inf. Technol. Biomed. 8(4):405–414, 2004.CrossRefGoogle Scholar
  9. 9.
    Mobile Future: Mobile Year in Review 2010. Available from: [] (Accessed September 2013).
  10. 10.
    Kailas, A., Chong, C. C., and Watanabe, F., From mobile phones to personal wellness dashboards. IEEE Pulse 7(8):57–63, 2010.CrossRefGoogle Scholar
  11. 11.
    Microsoft: Get apps from Marketplace - Windows Phone 7. [] (Accesses October 2013).
  12. 12.
    Ozdalga, E., Ozdalga, A., and Ahuja, N., The smartphone in medicine: A review of current and potential use among physicians and students. J. Med. Internet Res. 14(5):e128, 2012.CrossRefGoogle Scholar
  13. 13.
    World Health Organization. Health topics: Health promotion. Available from: (Accessed 27 June 2013), 2013.
  14. 14.
    Handel, M. J., mHealth (mobile health)-using Apps for health and wellness. Explor. (NY) 7(4):256–261, 2011.CrossRefGoogle Scholar
  15. 15.
    Albrecht, J. A., Larvick, C., Litchfield, R. E., and Weishaar, C., Leftovers and other food safety information for iPhone/iPad application (“smartphone” technology). J. Nutr. Educ. Behav. 44(5):469–471, 2012.CrossRefGoogle Scholar
  16. 16.
    Carter, M. C., Burley, V. J., Nykjaer, C., and Cade, J. E., ‘My Meal Mate’ (MMM): Validation of the diet measures captured on a smartphone application to facilitate weight loss. Br. J. Nutr. 3:1–8, 2012.Google Scholar
  17. 17.
    Rösch, N., Arens-Volland, A., Harpes, P., Herbst, R., Plumer, P., Feidert, F., Schmalz, P., and Mösges, R., Telemedicine assisted diet and diagnosis management in food hypersensitivity. Bull. Soc. Sci. Med. Grand Duche Luxemb. 2:163–170, 2009.Google Scholar
  18. 18.
    Stevens, C. J., and Bryan, A. D., Rebranding exercise: There’s an App for that. Am. J. Health Promot. 27(2):69–70, 2012.CrossRefGoogle Scholar
  19. 19.
    West, J. H., Hall, P. C., Hanson, C. L., Barnes, M. D., Giraud-Carrier, C., and Barrett, J., There’s an app for that: Content analysis of paid health and fitness apps. J. Med. Internet Res. 14(3):e72, 2012.CrossRefGoogle Scholar
  20. 20.
    Stephens, J., and Allen, J., Mobile phone interventions to increase physical activity and reduce weight: A systematic review. J. Cardiovasc. Nurs. 28(4):320–329, 2013.CrossRefGoogle Scholar
  21. 21.
    Rabin, C., and Bock, B., Desired features of smartphone applications promoting physical activity. Telemed. J. E. Health 17(10):801–803, 2011.CrossRefGoogle Scholar
  22. 22.
    Fukuoka, Y., Komatsu, J., Suarez, L., Vittinghoff, E., Haskell, W., Noorishad, T., and Pham, K., The mPED randomized controlled clinical trial: Applying mobile persuasive technologies to increase physical activity in sedentary women protocol. BMC Public Health 11:933, 2011.CrossRefGoogle Scholar
  23. 23.
    Gay, V., and Leijdekkers, P., Personalised mobile health and fitness apps: Lessons learned from myFitnessCompanion®. Stud. Health Technol. Inform. 177:248–253, 2012.Google Scholar
  24. 24.
    Gregoski, M. J., Mueller, M., Vertegel, A., et al., Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications. Int. J. Telemed. Appl. 2012:696324, 2012.Google Scholar
  25. 25.
    Boyer, E. W., Fletcher, R., Fay, R. J., Smelson, D., Ziedonis, D., and Picard, R. W., Preliminary efforts directed toward the detection of craving of illicit substances: The iHeal project. J. Med. Toxicol. 8(1):5–9, 2012.CrossRefGoogle Scholar
  26. 26.
    Abroms, L. C., Padmanabhan, N., Thaweethai, L., and Phillips, T., iPhone apps for smoking cessation: A content analysis. Am. J. Prev. Med. 40(3):279–285, 2011.CrossRefGoogle Scholar
  27. 27.
    Bindhim, N. F., Freeman, B., and Trevena, L., Pro-smoking apps for smartphones: The latest vehicle for the tobacco industry? Tob. Control. Nov 26, 2012.Google Scholar
  28. 28.
    Ramanathan, N., Swendeman, D., Comulada, W. S., Estrin, D., and Rotheram-Borus, M. J., Identifying preferences for mobile health applications for self-monitoring and self-management: Focus group findings from HIV-positive persons and young mothers. Int. J. Med. Inform. 82(4):e38–e46, 2013.CrossRefGoogle Scholar
  29. 29.
    Jones, R., and Lacroix, L. J., Streaming weekly soap opera video episodes to Smartphones in a randomized controlled trial to reduce HIV risk in young urban African American/Black Women. AIDS Behav. 16(5):1341–1358, 2012.CrossRefGoogle Scholar
  30. 30.
    Gabarron, E., Serrano, J. A., Wynn, R., and Armayones, M., Avatars using computer/smartphone mediated communication and social networking in prevention of sexually transmitted diseases among North-Norwegian youngsters. BMC Med. Inform. Decis. Mak. 12(1):120, 2012.CrossRefGoogle Scholar
  31. 31.
    Farseeing consortium. European Farseeing project. (Accessed 27 June 2013).
  32. 32.
    Mosa, A. S., Yoo, I., and Sheets, L., A systematic review of healthcare applications for Smartphones. BMC Med. Inform. Decis. Mak. 12(1):67, 2012.CrossRefGoogle Scholar
  33. 33.
    Sposaro, F., and Tyson, G., iFall: An Android application for fall monitoring and response. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009:6119–6122, 2009.Google Scholar
  34. 34.
    Kerwin, M., Nunes, F., and Silva, P. A., Dance! Don’t Fall - preventing falls and promoting exercise at home. Stud. Health Technol. Inform. 177:254–259, 2012.Google Scholar
  35. 35.
    Yamada, M., Aoyama, T., Okamoto, K., Nagai, K., Tanaka, B., and Takemura, T., Using a Smartphone while walking: A measure of dual-tasking ability as a falls risk assessment tool. Age Ageing 40(4):516–519, 2011.CrossRefGoogle Scholar
  36. 36.
    Hebden, L., Cook, A., van der Ploeg, H. P., King, L., Bauman, A., and Allman-Farinelli, M., A mobile health intervention for weight management among young adults: A pilot randomised controlled trial. J. Hum. Nutr. Diet, 2013.Google Scholar
  37. 37.
    Carter, M. C., Burley, V. J., Nykjaer, C., and Cade, J. E., Adherence to a smartphone application for weight loss compared to website and paper diary: Pilot randomized controlled trial. J. Med. Internet Res. 15:15(4), 2013.CrossRefGoogle Scholar
  38. 38.
    Hebden, L., Balestracci, K., McGeechan, K., Denney-Wilson, E., Harris, M., Bauman, A., and Allman-Farinelli, M., ‘TXT2BFiT’ a mobile phone-based healthy lifestyle program for preventing unhealthy weight gain in young adults: Study protocol for a randomized controlled trial. Trials 14:75, 2013.CrossRefGoogle Scholar
  39. 39.
    Hebden, L., Cook, A., van der Ploeg, H. P., and Allman-Farinelli, M., Development of smartphone applications for nutrition and physical activity behavior change. JMIR Res. Protoc. 22:1(2), 2012.Google Scholar
  40. 40.
    Glynn, L. G., Hayes, P. S., Casey, M., Glynn, F., Alvarez-Iglesias, A., Newell, J., Ólaighin, G., Heaney, D., and Murphy, A. W., SMART MOVE - a smartphone-based intervention to promote physical activity in primary care: Study protocol for a randomized controlled trial. Trials 14:157, 2013.CrossRefGoogle Scholar
  41. 41.
    Kirwan, M., Duncan, M. J., Vandelanotte, C., and Mummery, W. K., Using smartphone technology to monitor physical activity in the 10,000 Steps program: A matched case–control trial. J. Med. Internet Res. 20:14(2), 2012.Google Scholar
  42. 42.
    Pellegrini, C. A., Duncan, J. M., Moller, A. C., Buscemi, J., Sularz, A., DeMott, A., Pictor, A., Pagoto, S., Siddique, J., and Spring, B., A smartphone-supported weight loss program: Design of the ENGAGED randomized controlled trial. BMC Public Health 12:1041, 2012.CrossRefGoogle Scholar
  43. 43.
    Dennison, L., Morrison, L., Conway, G., Yardley, L., Opportunities and challenges for smartphone applications in supporting health behavior change: Qualitative study. J. Med. Internet Res 15(4):e86.Google Scholar
  44. 44.
    Majumder, J. A., A. K. M., Rahman, F., Zerin, I., William, J. R., Ahamed, S. I., iPrevention: Towards a novel real-time smartphone-based fall prevention system. Proc. ACM Symp. Appl. Comput., pp. 513–518, 2013.Google Scholar
  45. 45.
    Brouillette, R. M., Foil, H., Fontenot, S., Correro, A., Allen, R., Martin, C. K., Bruce-Keller, A. J., and Keller, J. N., Feasibility, reliability, and validity of a smartphone based application for the assessment of cognitive function in the elderly. PLoS One 8(6):e65925, 2013.CrossRefGoogle Scholar
  46. 46.
    Fesenmaier, J., Executive Summary: Measuring Outcomes of Digital Divide Investment to Community Technology Centers Laboratory for Community and Economic Development, University Of Illinois. (Accessed 27 June 2013), 2003.
  47. 47.
    Liang, T. H., Matrix analysis of the digital divide in eHealth services using awareness, want, and adoption gap. J. Med. Internet Res. 14(1):e11, 2012.CrossRefGoogle Scholar
  48. 48.
    Liff, S., and Shepherd, A., An evolving gender digital divide? Internet issue brief no 2. Oxford Internet Institute, Oxford, 2004.Google Scholar
  49. 49.
    Aqii, S. V., and Moghaddam, A. I., Bridging the digital divide: The role of librarians and information professionals in the third millennium. Electron. Libr. 26(2):226–237, 2008.CrossRefGoogle Scholar
  50. 50.
    Roy, S., and Ghose, S., Internet adoption as a two-stage transition: Converting internet non-users to internet users and to online buyers. Int. J. Market. Res. 48(3):321–349, 2006.Google Scholar
  51. 51.
    Livingstone, S., and Helsper, Balancing opportunities and risks in teenagers’ use of the Internet: The role of online skills and internet self-efficacy. New Media Soc. 12(2):309–329, 2009.CrossRefGoogle Scholar
  52. 52.
    van Deursen, A. J., Internet skill-related problems in accessing online health information. Int. J. Med. Inform. 81(1):61–72, 2012.CrossRefGoogle Scholar
  53. 53.
    Heart, T., and Kalderon, E., Older adults: Are they ready to adopt health-related ICT? Int. J. Med. Inform. Apr 8, 2011.Google Scholar
  54. 54.
    Lovato, E., Bert, F., Bruno, S., et al., Role of the Web on behaviors and health choices in six Italian cities: Results of a multicenter study. Ann. Ig. 23(4):283–294, 2011.Google Scholar
  55. 55.
    Siliquini, R., Ceruti, M., Lovato, E., et al., Surfing the internet for health information: An Italian survey on use and population choices. BMC Med. Inform. Decis. Mak. 11:21, 2011.CrossRefGoogle Scholar
  56. 56.
    Siliquini, R., Saulle, R., Rabacchi, G., Bert, F., Massimi, A., Bulzomì, V., Boccia, A., and La Torre, G., Validation of a web-based questionnaire for pregnant women to assess utilization of internet: Survey among an Italian sample. Ann. Ig. 24(5):397–405, 2012.Google Scholar
  57. 57.
    Bert, F., Gualano, M. R., Brusaferro, S., De Vito, E., de Waure, C., La Torre, G., Manzoli, L., Messina, G., Todros, T., Torregrossa, M. V., and Siliquini, R., Pregnancy e-health: A multicenter Italian cross-sectional study on internet use and decision-making among pregnant women. J. Epidemiol. Commun. Health. 26, 2013.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Fabrizio Bert
    • 1
    Email author
  • Marika Giacometti
    • 1
  • Maria Rosaria Gualano
    • 1
  • Roberta Siliquini
    • 1
  1. 1.Department of Public HealthUniversity of TurinTurinItaly

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