Skip to main content
SpringerLink
Log in

Evaluation of Breastfeeding Mobile Health Applications Based on the Persuasive System Design Model

  • Conference paper
  • First Online:
Persuasive Technology: Development of Persuasive and Behavior Change Support Systems (PERSUASIVE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11433))

Included in the following conference series:

Abstract

The rapid and ongoing growth in information technology has created many applications for health and wellbeing, including breastfeeding. However, due to a lack of rigorous evaluation of these applications, midwives and other health professionals are unable to recommend any specific breastfeeding application in supporting women towards long-term breastfeeding as a global challenge. Only half of women in developed countries continue any form of breastfeeding for six months. The aim of this study was to evaluate the existing breastfeeding applications based on the Persuasive System Design model. An online search was conducted of the Apple Store in May 2017. The search strategy included the following keywords: breastfeeding, lactation and breast milk. After being checked against the inclusion criteria, each application was assessed based on the four Persuasive System Design Principles. Data from each application was then compared for each element of the design model. Eleven applications met the inclusion criteria and were included in the review. Primary task support and system credibility support principles were addressed at acceptable level in all of the included apps. However, dialogue support and social support principles and their features like praise, reward and social networking were not identified in many of the applications. This review demonstrates the lack of dialogue support and social support principles that could augment human to computer dialogue. There is a need for designing a breastfeeding app that can persuade women to engage and continue breastfeeding based on a full Persuasive System Design model, thus promoting long term breastfeeding.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Langrial, S., Lehto, T., Oinas-Kukkonen, H., Harjumaa, M., Karrippnen, P.: Native mobile applications for personal wellbeing: a persuasive system design evaluation. In: Pacific Asia Conference on Information Systems (2012)

    Google Scholar 

  2. Mobasheri, M.H., Johnston, M., King, D., Leff, D., Thiruchelvam, P., Darzi, A.: Smartphone breast applications–what’s the evidence? Breast 23, 683–689 (2014)

    Article  Google Scholar 

  3. Becker, S., Miron Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., Albrecht, U.-V.: mHealth: experiences, possibilities, and perspectives. JMIR mHealth uHealth 2 (2014)

    Google Scholar 

  4. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/

  5. García-Gómez, J.M., De La Torre-Díez, I., Vicente, J., Robles, M., López-Coronado, M., Rodrigues, J.J.: Analysis of mobile health applications for a broad spectrum of consumers: a user experience approach. Health Inform. J. 20, 74–84 (2014)

    Article  Google Scholar 

  6. Meedya, S., Fahy, K., Kable, A.: Factors that positively influence breastfeeding duration to 6 months: a literature review. Women Birth 23, 135–145 (2010)

    Article  Google Scholar 

  7. Krishnamurti, T., Davis, A., Wong-Parodi, G., Fischhoff, B., Sadovsky, Y., Simhan, H.: Development and testing of the MyHealthyPregnancy app: a behavioural decision research-based tool for assessing and communicating pregnancy risk. JMIR mHealth uHealth 10, e42 (2017)

    Article  Google Scholar 

  8. Asiodu, I.V., Waters, C.M., Dailey, D.E., Lee, K.A., Lyndon, A.: Breastfeeding and use of social media among first-time African American mothers. JOGNN – J. Obstet. Gynecol. Neonatal Nurs. 44, 268–278 (2015)

    Article  Google Scholar 

  9. Meedya, S., Fernandez, R., Fahy, K.: Effect of educational and support interventions to increase long-term breastfeeding rates in primiparous women: a systematic review and meta-analysis. JBI Database Syst. Rev. Implementation Rep. 15, 2307–2332 (2017)

    Article  Google Scholar 

  10. Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24, 28 (2009)

    Google Scholar 

  11. Matthews, J., Win, K.T., Oinas-Kukkonen, H., Freeman, M.: Persuasive technology in mobile applications promoting physical activity: a systematic review. J. Med. Syst. 40, 72 (2016)

    Article  Google Scholar 

  12. Lau, E.Y., Lau, P.W., Chung, P.K., Ransdell, L., Archer, E.: Evaluation of an internet-short message service-based intervention for promoting physical activity in Hong Kong chinese adolescent school children: a pilot study. Cyberpsychol. Behav. Soc. Netw. 15, 425–434 (2012)

    Article  Google Scholar 

  13. Win, K., Roberts, M., Oinas-Kukkonen, H.: Persuasive system features in computer mediated lifestyle modification interventions for physical activity. Inform. Health Soc. Care 1–19 (2018)

    Google Scholar 

  14. Karppinen, P., Oinas-Kukkonen, H., Alahäivälä, T., Jokelainen, T., Keränen, A., Salonurmi, T., Savolainen, M.: Persuasive user experiences of a health behavior change support system: a 12-month study for prevention of metabolic syndrome. Int. J. Med. Inform. 96, 51–61 (2016)

    Article  Google Scholar 

  15. Migneault, J.P., et al.: A culturally adapted telecommunication system to improve physical activity, diet quality, and medication adherence among hypertensive African-Americans: a randomized controlled trial. Ann. Behav. Med. 43, 62–73 (2012)

    Article  Google Scholar 

  16. Kelders, S.M., Kok, R.N., Ossebaard, H.C., Van Gemert-Pijnen, J.E.: Persuasive system design does matter: a systematic review of adherence to web-based interventions. J. Med. Internet Res. 14, e152 (2012)

    Article  Google Scholar 

  17. Amico, K.R., et al.: The information-motivation-behavioral skills model of ART adherence in a deep south HIV+ clinic sample. AIDS Behav. 13, 66–75 (2009)

    Article  Google Scholar 

  18. Osborn, C.Y., Amico, K.R., Fisher, W.A., Egede, L.E., Fisher, J.D.: An information—motivation—behavioral skills analysis of diet and exercise behavior in Puerto Ricans with diabetes. J. Health Psychol. 15, 1201–1213 (2010)

    Article  Google Scholar 

  19. Shrestha, R., Altice, F.L., Huedo-Medina, T.B., Karki, P., Copenhaver, M.: Willingness to use pre-exposure prophylaxis (PrEP): an empirical test of the information-motivation-behavioral skills (IMB) model among high-risk drug users in treatment. AIDS Behav. 21, 1299–1308 (2017)

    Article  Google Scholar 

  20. Fisher, C.M.: Adapting the information-motivation-behavioral skills model: predicting HIV-related sexual risk among sexual minority youth. Health Educ. Behav. 39, 290–302 (2012)

    Article  Google Scholar 

  21. Vlahu-Gjorgievska, E., Mulakaparambil Unnikrishnan, S., Win, K.T.: mHealth applications: a tool for behaviour change in weight management. Stud. Health Technol. Inform. 252, 158–163 (2018)

    Google Scholar 

  22. World Health Organization: Ten steps to successful breastfeeding, Revised 2018. https://www.who.int/nutrition/bfhi/ten-steps/en/. Accessed 28 Jan 2019

  23. Chomutare, T., Fernandez-Luque, L., Ã…rsand, E., Hartvigsen, G.: Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J. Med. Internet Res. 13, e65 (2011)

    Article  Google Scholar 

  24. Taki, S., Campbell, K., Russell, C., Elliott, R., Laws, R., Denney-Wilson, E.: Infant feeding websites and apps: a systematic assessment of quality and content. Interact. J. Med. Res. 4, e18 (2015)

    Article  Google Scholar 

  25. Preece, J., Shneiderman, B.: The reader-to-leader framework: motivating technology-mediated social participation. AIS Trans. Hum.-Comput. Interact. 1, 13–32 (2009)

    Article  Google Scholar 

  26. Carter, T., O’Neill, S., Johns, N., Brady, R.: Contemporary vascular smartphone medical applications. Ann. Vasc. Surg. 27, 804–809 (2013)

    Article  Google Scholar 

  27. Neithercott, T.: Health apps. 12 on-the-go diabetes tools for your smartphone. Diab. Forecast 66, 34–37 (2013)

    Google Scholar 

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

    Article  Google Scholar 

  29. Stevens, D.J., Jackson, J.A., Howes, N., Morgan, J.: Obesity surgery smartphone apps: a review. Obes. Surg. 24, 32–36 (2014)

    Article  Google Scholar 

  30. Sillence, E., Briggs, P., Harris, P.: A framework for understanding trust factors in web-based health advice. Int. J. Hum.-Comput. Stud. 64, 697–713 (2006)

    Article  Google Scholar 

  31. Hansen, J.: Stillbirth: Pregnant Women Warned to Avoid Smartphone App with Two Babies Recently Dying. The Daily Telegraph News Corp., Surry Hills (2016)

    Google Scholar 

  32. Wolf, J.A., et al.: Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA Dermatol. 149, 422–426 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Wollongong, Wollongong, NSW, 2522, Australia

    Shahla Meedya, Muhamad Kashif Sheikh, Khin Than Win & Elizabeth Halcomb

  2. Gippsland Primary Health Network, Traralgon, VIC, 3844, Australia

    Muhamad Kashif Sheikh

Authors
  1. Shahla Meedya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Muhamad Kashif Sheikh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Khin Than Win
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Elizabeth Halcomb
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shahla Meedya .

Editor information

Editors and Affiliations

  1. University of Oulu, Oulu, Finland

    Harri Oinas-Kukkonen

  2. University of Wollongong, Wollongong, NSW, Australia

    Khin Than Win

  3. Cyprus University of Technology, Limassol, Cyprus

    Evangelos Karapanos

  4. University of Oulu, Oulu, Finland

    Pasi Karppinen

  5. Cyprus University of Technology, Limassol, Cyprus

    Eleni Kyza

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Meedya, S., Sheikh, M.K., Win, K.T., Halcomb, E. (2019). Evaluation of Breastfeeding Mobile Health Applications Based on the Persuasive System Design Model. In: Oinas-Kukkonen, H., Win, K., Karapanos, E., Karppinen, P., Kyza, E. (eds) Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. PERSUASIVE 2019. Lecture Notes in Computer Science(), vol 11433. Springer, Cham. https://doi.org/10.1007/978-3-030-17287-9_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-17287-9_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17286-2

  • Online ISBN: 978-3-030-17287-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation