Abstract
Women’s perceptions of persuasive design principles implemented in a mHealth app to support breastfeeding have not been previously explored. This study aims to explore the persuasive features of a persuasive mHealth app (the Milky Way app) from the perspective of breastfeeding women to recognize design, functionality, and usability issues. The study used an online survey to gather women’s perceptions of the persuasive design principles assimilated in the Milky Way mHealth app and explore their overall experience with the app. Quantitative responses were analyzed with descriptive analysis to explore women’s perceptions of the implemented PSD features. A qualitative thematic analysis method was used to analyze participants’ responses input to the online survey. A total of 168 women participated in the study survey. The results of the One-Sample T-Test showed that the perception scores of the various PSD features are statistically significant and higher than the neutral rating of 3 (p < .001). This indicates that participants perceived the features implementations as persuasive. A total of 96 women provided qualitative inputs, with an overall of 288 text inputs. Three themes emerged: Overall user experience, Opportunities for app improvements, and Technical aspects. The Milky Way app was perceived as an informative and credible app that is feasible for breastfeeding promotion and support. The results from this study strongly supported the use of the Milky way app for promoting breastfeeding, with particularly positive feedback received from breastfeeding mothers. Practical design recommendations for improving the app based on the findings are offered.
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References
Matriano, M.G., Ivers, R., Meedya, S.: Factors that influence women’s decision on infant feeding: an integrative review. Women and Birth. 35, 430–439 (2022). https://doi.org/10.1016/j.wombi.2021.10.005
WHO/UNICEF: Global nutrition targets 2025: breastfeeding policy brief (WHO/NMH/NHD/14.7). World Health Organization (2014)
Almohanna, A.A., Win, K.T., Meedya, S.: Effectiveness of internet-based electronic technology interventions on breastfeeding outcomes: systematic review. J. Med. Internet Res. 22, e17361 (2020). https://doi.org/10.2196/17361
Oinas-Kukkonen, H., Harjumaa, M.: Towards deeper understanding of persuasion in software and information systems. Proc. 1st Int. Conf. Adv. Comput. Interact. ACHI 2008. 200–205 (2008). https://doi.org/10.1109/ACHI.2008.31
Oyibo, K., Vassileva, J.: Investigation of persuasive system design predictors of competitive behavior in fitness application: a mixed-method approach. Digit. Heal. 5 (2019). https://doi.org/10.1177/2055207619878601
Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24, 485–500 (2009). https://doi.org/10.17705/1cais.02428
Lehto, T., Oinas-Kukkonen, H., Pätiälä, T., Saarelma, O.: Consumers’ perceptions of a virtual health check: An empirical investigation. In: ECIS 2012 - Proceedings of the 20th European Conference on Information Systems (2012)
Langrial, S., Lehto, T., Oinas-Kukkonen, H., Harjumaa, M., Karppinen, P.: Native mobile applications for personal wellbeing: a persuasive systems design evaluation. In: Proceedings - Pacific Asia Conference on Information Systems. PACIS 2012. (2012)
Win, K.T., Roberts, M.R.H., Oinas-Kukkonen, H.: Persuasive system features in computer-mediated lifestyle modification interventions for physical activity. Informatics Heal. Soc. Care. 44, 376–404 (2019). https://doi.org/10.1080/17538157.2018.1511565
Alhasani, M., Mulchandani, D., Oyebode, O., Orji, R.: A systematic review of persuasive strategies in stress management apps. In: CEUR Workshop Proceedings (2020)
Asbjørnsen, R.A., et al.: Persuasive system design principles and behavior change techniques to stimulate motivation and adherence in electronic health interventions to support weight loss maintenance: scoping review. J. Med. Internet Res. 21, e14265 (2019). https://doi.org/10.2196/14265
van Gemert-Pijnen, L.J. E.W.C.., Kelders, S.M., Beerlage-de Jong, N., Oinas-Kukkonen, H.: Persuasive health technology. In: eHealth Research, Theory and Development, pp. 228–246. Routledge (2018)
Mukhtar, H., Ali, A., Belaid, D., Lee, S.: Persuasive healthcare self-management in intelligent environments. Proceedings - 8th International Conference on Intelligent Environments. IE 2012, pp. 190–197 (2012). https://doi.org/10.1109/IE.2012.51
Hamari, J., Koivisto, J., Pakkanen, T.: Do persuasive technologies persuade? - A review of empirical studies. In: Spagnolli, A., Chittaro, L., Gamberini, L. (eds.) PERSUASIVE 2014. LNCS, vol. 8462, pp. 118–136. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07127-5_11
Merz, M., Ackermann, L.: Design principles of persuasive systems - Review and discussion of the persuasive systems design model. In: 27th Annual Americas Conference on Information Systems. AMCIS 2021. 2021 (2021)
Win, K.T., Ramaprasad, A., Syn, T.: Ontological Review of Persuasion Support Systems (PSS) for health behavior change through physical activity. J. Med. Syst. 43(3), 1–12 (2019). https://doi.org/10.1007/s10916-019-1159-y
Meedya, S., et al.: Developing and testing a mobile application for breastfeeding support: the Milky Way application. Women and Birth. 34, e196–e203 (2021). https://doi.org/10.1016/j.wombi.2020.02.006
Orji, R., Moffatt, K.: Persuasive technology for health and wellness: State-of-the-art and emerging trends. Health Informatics J. 24, 66–91 (2018). https://doi.org/10.1177/1460458216650979
Liu, N., Yin, J., Tan, S.S.L., Ngiam, K.Y., Teo, H.H.: Mobile health applications for older adults: a systematic review of interface and persuasive feature design. J. Am. Med. Informatics Assoc. 28, 2483–2501 (2021). https://doi.org/10.1093/jamia/ocab151
Oyibo, K., Vassileva, J.: HOMEX: persuasive technology acceptance model and the moderating effect of culture. Front. Comput. Sci. 2, 1–17 (2020). https://doi.org/10.3389/fcomp.2020.00010
Bergevi, J., Andermo, S., Woldamanuel, Y., Johansson, U.B., Hagströmer, M., Rossen, J.: User perceptions of eHealth and mHealth services promoting physical activity and healthy diets: systematic review. JMIR Hum. Factors. 9 (2022). https://doi.org/10.2196/34278
Kuonanoja, L., Meedya, S., Win, K.T., Oinas-Kukkonen, H.: Ethical evaluation of a value sensitive persuasive system: Case milky way. In: Proceedings of the 22nd Pacific Asia Conference on Information System - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018, pp. 1–13 (2018)
Tang, K., Gerling, K., Geurts, L., Spiel, K.: Understanding the Role of Technology to Support Breastfeeding. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–13. ACM, New York, NY, USA (2021)
Laws, R.A., et al.: Perinatal support for breastfeeding using mHealth: a mixed methods feasibility study of the My Baby Now app. Matern. Child Nutr. (2023). https://doi.org/10.1111/mcn.13482
Meedya, S., Sheikh, M.K., Win, K.T., Halcomb, E.: Evaluation of breastfeeding mobile health applications based on the persuasive system design model. In: Oinas-Kukkonen, H., Win, K.T., Karapanos, E., Karppinen, P., Kyza, E. (eds.) PERSUASIVE 2019. LNCS, vol. 11433, pp. 189–201. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17287-9_16
Boateng, G.O., Neilands, T.B., Frongillo, E.A., Melgar-Quiñonez, H.R., Young, S.L.: best practices for developing and validating scales for health, social, and behavioral research: a primer (2018). https://doi.org/10.3389/fpubh.2018.00149
Almohanna, A.A.S., Win, K., Meedya, S., Vlahu-Gjorgievska, E.: Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: a modified Delphi study. Int. J. Med. Inform. 164, 104789 (2022). https://doi.org/10.1016/j.ijmedinf.2022.104789
Thomson, C., Nash, J., Maeder, A.: Persuasive design for behaviour change apps: Issues for designers. ACM Int. Conf. Proceeding Ser. 26–28-Sept (2016). https://doi.org/10.1145/2987491.2987535
Koranteng, F.N., Ham, J., Wiafe, I., Matzat, U.: The role of usability, aesthetics, usefulness and primary task support in predicting the perceived credibility of academic social networking sites. Behav. Inf. Technol. (2021). https://doi.org/10.1080/0144929X.2021.2009570
Kornides, M., Kitsantas, P.: Evaluation of breastfeeding promotion, support, and knowledge of benefits on breastfeeding outcomes. J. Child Heal. Care. 17, 264–273 (2013). https://doi.org/10.1177/1367493512461460
Moon, H., Woo, K.: An integrative review on mothers’ experiences of online breastfeeding peer support: Motivations, attributes and effects. Matern. Child Nutr. 17, 1–21 (2021). https://doi.org/10.1111/mcn.13200
Davis, J.: Design methods for ethical persuasive computing. ACM Int. Conf. Proceeding Ser. 350 (2009). https://doi.org/10.1145/1541948.1541957
Fisher, J.D., Fisher, W.A., Amico, K.R., Harman, J.J.: An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Heal. Psychol. 25, 462–473 (2006). https://doi.org/10.1037/0278-6133.25.4.462
Dienelt, K., Moores, C.J., Miller, J., Mehta, K.: An investigation into the use of infant feeding tracker apps by breastfeeding mothers. Health Inform. J. 26, 1672–1683 (2020). https://doi.org/10.1177/1460458219888402
Oinas-Kukkonen, H.: Behavior change support systems: a research model and agenda. In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds.) PERSUASIVE 2010. LNCS, vol. 6137, pp. 4–14. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13226-1_3
McGowan, A., Sittig, S., Bourrie, D., Benton, R., Iyengar, S.: The Intersection of persuasive system design and personalization in mobile health: statistical evaluation. JMIR mHealth uHealth. 10, e40576 (2022). https://doi.org/10.2196/40576
Lehto, T., Oinas-Kukkonen, H., Drozd, F.: Factors affecting perceived persuasiveness of a behavior change support system. Int. Conf. Inf. Syst. ICIS 2012(3), 1926–1939 (2012)
Halttu, K., Oinas-Kukkonen, H.: Susceptibility to social influence strategies and persuasive system design: exploring the relationship. Behav. Inf. Technol. 41, 2705–2726 (2022). https://doi.org/10.1080/0144929X.2021.1945685
Alhasani, M., Mulchandani, D., Oyebode, O., Baghaei, N., Orji, R.: A systematic and comparative review of behavior change strategies in stress management apps: opportunities for improvement. Front. Public Heal. 10, 1–19 (2022). https://doi.org/10.3389/fpubh.2022.777567
Pintar, A., Erjavec, J.: A framework for designing behavioural change with the use of persuasive technology. Int. J. Manag. Knowl. Learn. 10 (2021). https://doi.org/10.53615/2232-5697.10.75-84
Coorey, G., Peiris, D., Usherwood, T., Neubeck, L., Mulley, J., Redfern, J.: Persuasive design features within a consumer-focused eHealth intervention integrated with the electronic health record: a mixed methods study of effectiveness and acceptability. PLoS ONE. 14 (2019). https://doi.org/10.1371/journal.pone.0218447
Lehto, T., Oinas-Kukkonen, H.: Explaining and predicting perceived effectiveness and use continuance intention of a behaviour change support system for weight loss. Behav. Inf. Technol. 34, 176–189 (2015). https://doi.org/10.1080/0144929X.2013.866162
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Almohanna, A.A.S., Meedya, S., Vlahu-Gjorgievska, E., Win, K.T. (2023). A Study of Women’s Perceptions and Opinions of a Persuasive Breastfeeding mHealth App. In: Meschtscherjakov, A., Midden, C., Ham, J. (eds) Persuasive Technology. PERSUASIVE 2023. Lecture Notes in Computer Science, vol 13832. Springer, Cham. https://doi.org/10.1007/978-3-031-30933-5_10
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