Effectiveness of Internet-Based Electronic Technology Interventions on Breastfeeding Outcomes: Systematic Review

Alaa Ali Almohanna, Khin Than Win, Shahla Meedya, Alaa Ali Almohanna, Khin Than Win, Shahla Meedya

Abstract

Background: Supporting women to initiate and continue breastfeeding is a global challenge. A range of breastfeeding interventions employing electronic technologies (e-technologies) are being developed, which offer different delivery modes and features over the internet; however, the impact of internet-based e-technologies on breastfeeding outcomes remains unclear.

Objective: This study aimed to identify the characteristics of current internet-based breastfeeding interventions employing e-technologies and investigate the effects of internet-based e-technologies on breastfeeding outcomes.

Methods: A systematic search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines in the following databases: Scopus, Web of Science, the Cochrane Database of Systematic Reviews, ScienceDirect, Google Scholar, the Association for Computing Machinery, SpringerLink, and Institute of Electrical and Electronics Engineers Xplore.

Results: This systematic review included 16 studies published between 2007 and 2018, with 4018 women in 8 countries. The characteristics of the interventions were grouped based on (1) mode of delivery (web-based, mobile phone apps, and computer kiosk), (2) purpose of the interventions (education and support), and (3) key strategies (monitoring and breastfeeding tracking, personalization, online discussion forum, web-based consultation, and breastfeeding station locators). Combining educational activities with web-based personalized support through discussion forums appeared to be the most effective way to improve breastfeeding outcomes and long-term exclusive breastfeeding rates. Monitoring and breastfeeding trackers appeared to be the least effective ways.

Conclusions: This study demonstrated a variety of internet-based e-technologies that professionals can use to promote, educate, and support breastfeeding women. Future internet-based breastfeeding interventions employing e-technologies might consider improving interaction with mothers and personalizing the content of the proposed interventions.

Keywords: breastfeeding; computers; internet; mHealth; mobile app; mobile phone; systematic review.

Conflict of interest statement

Conflicts of Interest: None declared.

©Alaa Ali Almohanna, Khin Than Win, Shahla Meedya. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.05.2020.

Figures

Figure 1
Figure 1
Flow Diagram of the systematic review - data extraction (BF, BSES). BF: breastfeeding; BHFI: baby friendly hospital initiative.

References

    1. Horta BL, Bahl R, Martines JC, Victora CG. Evidence on the Long-Term Effects of Breastfeeding: Systematic Review and Meta-Analyses. Geneva, Switzerland: World Health Organization; 2007.
    1. World Health Organization . Protecting, Promoting and Supporting Breastfeeding in Facilities Providing Maternity and Newborn Services. Geneva, Switzerland: World Health Oragnization; 2017.
    1. Weber Summer J, Dawson Daniela, Greene Haley, Hull Pamela C. Mobile Phone Apps for Low-Income Participants in a Public Health Nutrition Program for Women, Infants, and Children (WIC): Review and Analysis of Features. JMIR Mhealth Uhealth. 2018 Nov 19;6(11):e12261. doi: 10.2196/12261.
    1. Australian Government: Department of Health. 2018. [2020-05-13]. Australian National Breastfeeding Strategy: 2019 and Beyond
    1. Morrow AL, Guerrero ML, Shults J, Calva JJ, Lutter C, Bravo J, Ruiz-Palacios G, Morrow RC, Butterfoss FD. Efficacy of home-based peer counselling to promote exclusive breastfeeding: a randomised controlled trial. Lancet. 1999 Apr 10;353(9160):1226–31. doi: 10.1016/S0140-6736(98)08037-4.
    1. Haider R, Ashworth A, Kabir I, Huttly SR. Effect of community-based peer counsellors on exclusive breastfeeding practices in Dhaka, Bangladesh: a randomised controlled trial [see commments] Lancet. 2000 Nov 11;356(9242):1643–7. doi: 10.1016/s0140-6736(00)03159-7.
    1. Kruske S, Schmied V, Cook M. The 'earlybird' gets the breastmilk: findings from an evaluation of combined professional and peer support groups to improve breastfeeding duration in the first eight weeks after birth. Matern Child Nutr. 2007 Apr;3(2):108–19. doi: 10.1111/j.1740-8709.2007.00078.x.
    1. Labarere J, Bellin V, Fourny M, Gagnaire J, Francois P, Pons J. Assessment of a structured in-hospital educational intervention addressing breastfeeding: a prospective randomised open trial. BJOG. 2003 Sep;110(9):847–52.
    1. Meedya S, Fernandez R, Fahy K. Effect of educational and support interventions to increase long-term breastfeeding rates in primiparous women: a systematic review protocol. JBI Database System Rev Implement Rep. 2017 Mar;15(3):594–602. doi: 10.11124/JBISRIR-2016-003132.
    1. Prado C, Silva IA, Soares AV, Aragaki IM, Shimoda GT, Zaniboni VF, Padula CB, Muller FS, Salve JM, Daré SJ, Wen CL, Peres HH, Leite MM. [Nursing contributions to the development of the Brazilian telehealth lactation support program] Rev Esc Enferm USP. 2013 Aug;47(4):990–6. doi: 10.1590/S0080-623420130000400031.
    1. Romano AM. A changing landscape: implications of pregnant women's internet use for childbirth educators. J Perinat Educ. 2007;16(4):18–24. doi: 10.1624/105812407X244903.
    1. Heinig MJ. Breastfeeding promotion for generations X and Y: why the old ways won't work. J Hum Lact. 2009 Aug;25(3):263–5. doi: 10.1177/0890334409341450.
    1. Meedya S, Win K, Yeatman H, Fahy K, Walton K, Burgess L, McGregor D, Shojaei P, Wheatley E, Halcomb E. Developing and testing a mobile application for breastfeeding support: the milky way application. Women Birth. 2020 Feb 17;:-. doi: 10.1016/j.wombi.2020.02.006. epub ahead of print.
    1. Gagnon M, Légaré F, Labrecque M, Frémont P, Pluye P, Gagnon J, Car J, Pagliari C, Desmartis M, Turcot L, Gravel K. Interventions for promoting information and communication technologies adoption in healthcare professionals. Cochrane Database Syst Rev. 2009 Jan 21;(1):CD006093. doi: 10.1002/14651858.CD006093.pub2.
    1. World Health Organization. 2006. [2020-05-06]. The World Health Report 2006 - Working Together for Health
    1. Statista. 2019. [2020-05-06]. Digital Population in South Africa as of January 2020
    1. Bensley RJ, Hovis A, Horton KD, Loyo JJ, Bensley KM, Phillips D, Desmangles C. Accessibility and preferred use of online web applications among WIC participants with internet access. J Nutr Educ Behav. 2014;46(3 Suppl):S87–92. doi: 10.1016/j.jneb.2014.02.007.
    1. Holm kG, Brødsgaard A, Zachariassen G, Smith AC, Clemensen J. Participatory design methods for the development of a clinical telehealth service for neonatal homecare. SAGE Open Med. 2017;5:2050312117731252. doi: 10.1177/2050312117731252.
    1. Almathami Hassan Khader Y, Win Khin Than, Vlahu-Gjorgievska Elena. Barriers and Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation at Patients' Homes: Systematic Literature Review. J Med Internet Res. 2020 Feb 20;22(2):e16407. doi: 10.2196/16407.
    1. Rosa C, Campbell AN, Miele GM, Brunner M, Winstanley EL. Using e-technologies in clinical trials. Contemp Clin Trials. 2015 Nov;45(Pt A):41–54. doi: 10.1016/j.cct.2015.07.007.
    1. Noar S, Harrington NG, van Stee SK, Aldrich RS. Tailored health communication to change lifestyle behaviors. Am J Lifestyle Med. 2010 Nov 19;5(2):112–22. doi: 10.1177/1559827610387255.
    1. Asiodu IV, Waters CM, Dailey DE, Lee KA, Lyndon A. Breastfeeding and use of social media among first-time African American mothers. J Obstet Gynecol Neonatal Nurs. 2015;44(2):268–78. doi: 10.1111/1552-6909.12552.
    1. Regan S, Brown A. Experiences of online breastfeeding support: support and reassurance versus judgement and misinformation. Matern Child Nutr. 2019 Oct;15(4):e12874. doi: 10.1111/mcn.12874.
    1. The California WIC Association. 2016. [2020-05-06]. MyWic: Updating Wic for A New Generation .
    1. Friedman LB, Silva M, Smith K. A focus group study observing maternal intention to use a WIC education app. Am J Health Behav. 2018 Nov 1;42(6):110–23. doi: 10.5993/AJHB.42.6.11.
    1. Burman A, Papazafeiropoulou A, Barnett J. The Use of the Internet to Support Breastfeeding: An Exploratory Study of Breastfeeding Supporters' Experiences. Proceedings of the IADIS International Conference on e-Society; IADIS'11; March 10-13, 2011; Avila, Spain. 2011.
    1. Watterson JL, Walsh J, Madeka I. Using mhealth to improve usage of antenatal care, postnatal care, and immunization: a systematic review of the literature. Biomed Res Int. 2015;2015:153402. doi: 10.1155/2015/153402. doi: 10.1155/2015/153402.
    1. Griffiths SE, Parsons J, Naughton F, Fulton EA, Tombor I, Brown KE. Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis. Health Psychol Rev. 2018 Dec;12(4):333–56. doi: 10.1080/17437199.2018.1488602.
    1. Colaci D, Chaudhri S, Vasan A. mHealth interventions in low-income countries to address maternal health: a systematic review. Ann Glob Health. 2016;82(5):922–35. doi: 10.1016/j.aogh.2016.09.001.
    1. Sherifali D, Nerenberg KA, Wilson S, Semeniuk K, Ali MU, Redman LM, Adamo KB. The effectiveness of ehealth technologies on weight management in pregnant and postpartum women: systematic review and meta-analysis. J Med Internet Res. 2017 Oct 13;19(10):e337. doi: 10.2196/jmir.8006.
    1. O'Brien OA, McCarthy M, Gibney ER, McAuliffe FM. Technology-supported dietary and lifestyle interventions in healthy pregnant women: a systematic review. Eur J Clin Nutr. 2014 Jul;68(7):760–6. doi: 10.1038/ejcn.2014.59.
    1. Pate B. A systematic review of the effectiveness of breastfeeding intervention delivery methods. J Obstet Gynecol Neonatal Nurs. 2009;38(6):642–53. doi: 10.1111/j.1552-6909.2009.01068.x.
    1. Giglia R, Binns C. The effectiveness of the internet in improving breastfeeding outcomes: a systematic review. J Hum Lact. 2014 May;30(2):156–60. doi: 10.1177/0890334414527165.
    1. Lau Y, Htun TP, Tam WS, Klainin-Yobas P. Efficacy of e-technologies in improving breastfeeding outcomes among perinatal women: a meta-analysis. Matern Child Nutr. 2016 Jul;12(3):381–401. doi: 10.1111/mcn.12202.
    1. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009 Oct;62(10):1006–12. doi: 10.1016/j.jclinepi.2009.06.005.
    1. Nowell LS, Norris JM, White DE, Moules NJ. Thematic analysis. Int J Qual Methods. 2017 Oct 2;16(1):160940691773384. doi: 10.1177/1609406917733847.
    1. Hong Q, Pluye P, Fàbregues S, Bartlett G, Boardman F, Cargo M, Dagenais P, Gagnon M, Griffiths F, Nicolau B, Rousseau M, Vedel I. Mixed Methods Appraisal Tool. 2018. [2020-05-06].
    1. Hong QN, Fàbregues S, Bartlett G, Boardman F, Cargo M, Dagenais P, Gagnon M, Griffiths F, Nicolau B, O’Cathain A, Rousseau M, Vedel I, Pluye P. The mixed methods appraisal tool (MMAT) version 2018 for information professionals and researchers. Educ Inf IOS Press. 2018 Dec 18;34(4):285–91. doi: 10.3233/EFI-180221.
    1. Sinclair M, Lazenbatt A, Salmon S, Calvert J. Telesupport in breastfeeding. Comput Educ. 2000 Apr;34(3-4):341–3. doi: 10.1016/s0360-1315(99)00056-1.
    1. Joshi A, Amadi C, Meza J, Aguire T, Wilhelm S. Evaluation of a computer-based bilingual breastfeeding educational program on breastfeeding knowledge, self-efficacy and intent to breastfeed among rural Hispanic women. Int J Med Inform. 2016 Jul;91:10–9. doi: 10.1016/j.ijmedinf.2016.04.001.
    1. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001;52:1–26. doi: 10.1146/annurev.psych.52.1.1.
    1. Ahmed AH, Roumani AM, Szucs K, Zhang L, King D. The effect of interactive web-based monitoring on breastfeeding exclusivity, intensity, and duration in healthy, term infants after hospital discharge. J Obstet Gynecol Neonatal Nurs. 2016;45(2):143–54. doi: 10.1016/j.jogn.2015.12.001.
    1. Bandura A. Self-Efficacy: The Exercise of Control. New York, USA: Worth Publishers; 1997.
    1. Salonen AH, Kaunonen M, Astedt-Kurki P, Järvenpää AH, Tarkka M. Development of an internet-based intervention for parents of infants. J Adv Nurs. 2008 Oct;64(1):60–72. doi: 10.1111/j.1365-2648.2008.04759.x.
    1. Zhang Z, Bickmore T, Mainello K, Mueller M, Foley M, Jenkins L, Edwards R. Maintaining Continuity in Longitudinal, Multi-method Health Interventions Using Virtual Agents: The Case of Breastfeeding Promotion. Proceedings of the International Conference on Intelligent Virtual Agents; IVA'14; August 26-29, 2014; Boston, MA, USA. 2014. pp. 504–13.
    1. Ahmed AH, Ouzzani M. Interactive web-based breastfeeding monitoring: feasibility, usability, and acceptability. J Hum Lact. 2012 Nov;28(4):468–75. doi: 10.1177/0890334412451869.
    1. Alberdi G, O'Sullivan EJ, Scully H, Kelly N, Kincaid R, Murtagh R, Murray S, McGuinness D, Clive A, Brosnan M, Sheehy L, Dunn E, McAuliffe FM. A feasibility study of a multidimensional breastfeeding-support intervention in Ireland. Midwifery. 2018 Mar;58:86–92. doi: 10.1016/j.midw.2017.12.018.
    1. Geoghegan-Morphet N, Yuen D, Rai E, Angelini M, Christmas M, da Silva O. Development and implementation of a novel online breastfeeding support resource: the maternal virtual infant nutrition support clinic. Breastfeed Med. 2014 Dec;9(10):520–3. doi: 10.1089/bfm.2014.0051.
    1. Giglia R, Cox K, Zhao Y, Binns CW. Exclusive breastfeeding increased by an internet intervention. Breastfeed Med. 2015;10(1):20–5. doi: 10.1089/bfm.2014.0093.
    1. Grassley JS, Connor KC, Bond L. Game-based online antenatal breastfeeding education: a pilot. Appl Nurs Res. 2017 Feb;33:93–5. doi: 10.1016/j.apnr.2016.10.011.
    1. Hannula LS, Kaunonen ME, Puukka PJ. A study to promote breast feeding in the Helsinki metropolitan area in Finland. Midwifery. 2014 Jun;30(6):696–704. doi: 10.1016/j.midw.2013.10.005.
    1. Huang MZ, Kuo S, Avery MD, Chen W, Lin K, Gau M. Evaluating effects of a prenatal web-based breastfeeding education programme in Taiwan. J Clin Nurs. 2007 Aug;16(8):1571–9. doi: 10.1111/j.1365-2702.2006.01843.x.
    1. Newby R, Brodribb W, Ware RS, Davies PS. Internet use by first-time mothers for infant feeding support. J Hum Lact. 2015 Aug;31(3):416–24. doi: 10.1177/0890334415584319.
    1. Salonen AH, Pridham KF, Brown RL, Kaunonen M. Impact of an internet-based intervention on Finnish mothers' perceptions of parenting satisfaction, infant centrality and depressive symptoms during the postpartum year. Midwifery. 2014 Jan;30(1):112–22. doi: 10.1016/j.midw.2013.02.009.
    1. Dela CD, Mendoza D. Milktrack: Design and Development of Mobile Application and Logistics System in Empowering Breastfeeding Practice in the Philippines. Proceedings of the 2017 IEEE Region 10 Conference; TENCON'17; November 5-8, 2017; Penang, Malaysia. 2017.
    1. Wang C, Chaovalit P, Pongnumkul S. A breastfeed-promoting mobile app intervention: usability and usefulness study. JMIR Mhealth Uhealth. 2018 Jan 26;6(1):e27. doi: 10.2196/mhealth.8337.
    1. Wheaton N, Lenehan J, Amir L. Evaluation of a breastfeeding app in rural Australia: prospective cohort study. J Hum Lact. 2018 Nov;34(4):711–20. doi: 10.1177/0890334418794181.
    1. Silva OD, Rai E, Angelini M, Christmas M, Geoghegan-Morphet N. Maternal virtual infant nutrition support (mavins) clinic. Paed Child Healt. 2015;5:e102–20. doi: 10.1093/pch/20.5.e102a.
    1. Meedya S, Fernandez R, Fahy K. Effect of educational and support interventions on long-term breastfeeding rates in primiparous women: a systematic review and meta-analysis. JBI Database System Rev Implement Rep. 2017 Sep;15(9):2307–32. doi: 10.11124/JBISRIR-2016-002955.
    1. Meedya S, Fahy K, Parratt J. The Milky Way educational and support programme: structure, content and strategies. Women Birth. 2016 Aug;29(4):388–93. doi: 10.1016/j.wombi.2016.01.006.
    1. Kaunonen M, Hannula L, Tarkka M. A systematic review of peer support interventions for breastfeeding. J Clin Nurs. 2012 Jul;21(13-14):1943–54. doi: 10.1111/j.1365-2702.2012.04071.x.
    1. Su LL, Chong YS, Chan YH, Chan YS, Fok D, Tun KT, Ng FS, Rauff M. Antenatal education and postnatal support strategies for improving rates of exclusive breast feeding: randomised controlled trial. Br Med J. 2007 Sep 22;335(7620):596. doi: 10.1136/bmj.39279.656343.55.
    1. Meedya S, Fahy K, Yoxall J, Parratt J. Increasing breastfeeding rates to six months among nulliparous women: a quasi-experimental study. Midwifery. 2014 Mar;30(3):e137–44. doi: 10.1016/j.midw.2013.12.010.
    1. Mattar CN, Chong Y, Chan Y, Chew A, Tan P, Chan Y, Rauff MH. Simple antenatal preparation to improve breastfeeding practice: a randomized controlled trial. Obstet Gynecol. 2007 Jan;109(1):73–80. doi: 10.1097/01.AOG.0000249613.15466.26.
    1. Britton C, McCormick F, Renfrew M, Wade A, King S. Support for breastfeeding mothers. Cochrane Database Syst Rev. 2007 Jan 24;(1):CD001141. doi: 10.1002/14651858.CD001141.pub3.
    1. Radzyminski S, Callister LC. Mother's beliefs, attitudes, and decision making related to infant feeding choices. J Perinat Educ. 2016;25(1):18–28. doi: 10.1891/1058-1243.25.1.18.
    1. Meedya S, Sheikh M, Win K, Halcomb E. Evaluation of Breastfeeding Mobile Health Applications Based on the Persuasive System Design Model. Proceedings of the International Conference on Persuasive Technology; PERSUASIVE'19; April 9-11, 2019; Limassol, Cyprus. 2019. p. 201.
    1. Stevens DJ, Jackson JA, Howes N, Morgan J. Obesity surgery smartphone apps: a review. Obes Surg. 2014 Jan;24(1):32–6. doi: 10.1007/s11695-013-1010-3.
    1. Rosser BA, Eccleston C. Smartphone applications for pain management. J Telemed Telecare. 2011;17(6):308–12. doi: 10.1258/jtt.2011.101102.
    1. Carter T, O'Neill S, Johns N, Brady RR. Contemporary vascular smartphone medical applications. Ann Vasc Surg. 2013 Aug;27(6):804–9. doi: 10.1016/j.avsg.2012.10.013.
    1. Colaci D, Chaudhri S, Vasan A. mHealth interventions in low-income countries to address maternal health: a systematic review. Ann Glob Health. 2016;82(5):922–35. doi: 10.1016/j.aogh.2016.09.001.
    1. Sutton S. Using social cognition models to develop health behaviour interventions: problems and assumptions. In: Rutter D, Quine L, editors. Changing Health Behaviour: Intervention and Research with Social Cognition Models. Berkshire, UK: Open University Press; 2002. pp. 193–208.
    1. Akesson KM, Saveman B, Nilsson G. Health care consumers' experiences of information communication technology-a summary of literature. Int J Med Inform. 2007 Sep;76(9):633–45. doi: 10.1016/j.ijmedinf.2006.07.001.
    1. Bickmore T, Gruber A, Picard R. Establishing the computer-patient working alliance in automated health behavior change interventions. Patient Educ Couns. 2005 Oct;59(1):21–30. doi: 10.1016/j.pec.2004.09.008.
    1. Bickmore T, Gruber A. Relational agents in clinical psychiatry. Harv Rev Psychiatry. 2010;18(2):119–30. doi: 10.3109/10673221003707538.
    1. Gaffney H, Mansell W, Tai S. Conversational agents in the treatment of mental health problems: mixed-method systematic review. JMIR Ment Health. 2019 Oct 18;6(10):e14166. doi: 10.2196/14166.
    1. Bai YK, Lee S, Overgaard K. Critical review of theory use in breastfeeding interventions. J Hum Lact. 2019 Aug;35(3):478–500. doi: 10.1177/0890334419850822.
    1. World Population Review. 2020. [2020-02-28]. High Income Countries 2020
    1. UNICEF. 2010. [2020-05-13]. Infant and Young Child Feeding Programme Review: Consolidated Report of Six-country Review of Breastfeeding Programmes .

Source: PubMed

3
Abonner