ENN, IFE Core Group. Operational guidance: breastfeeding counseling emergencies. Oncology. 2021. https://www.ennonline.net/breastfeedingcounsellinginemergencies.
Wen LM, Rissel C, Xu H, et al. Effects of telephone and short message service support on infant feeding practices, “tummy time”, and screen time at 6 and 12 months of child age: a 3-group randomized clinical trial. JAMA Pediatr. 2020;174(7):657–64.
Patel A, Kuhite P, Puranik A, et al. Effectiveness of weekly cell phone counselling calls and daily text messages to improve breastfeeding indicators. BMC Pediatr. 2018;18:337. https://doi.org/10.1186/s12887-018-1308-3.
Article PubMed PubMed Central Google Scholar
Efrat MW, Esparza S, Mendelson SG, Lane CJ. The effect of lactation educators implementing a telephone-based intervention among low-income Hispanics: a randomised trial. Health Educ J. 2015;74(4):424–41. https://doi.org/10.1177/0017896914542666.
Article PubMed PubMed Central Google Scholar
Qian J, Wu T, Lv M, Fang Z, Chen M, Zeng Z, et al. The value of mobile health in improving breastfeeding outcomes among perinatal or postpartum women: systematic review and meta-analysis of randomized controlled trials. JMIR mHealth uHealth. 2021;9(7):3–6.
Folaranmi T. mHealth in Africa: challenges and opportunities. vociecs. 2017. p. 1–6. https://www.bsg.ox.ac.uk/blog/mhealth-africa-challenges-and-opportunities.
WHO, UNICEF, UNFPA. Maternal mortality. 2019. p. 1–5. https://www.who.int/news-room/fact-sheets/detail/maternal-mortality.
World Health Organization. Complementary feeding: family foods for breastfed children. Dept Nutr Health Dev. 2000;1–56. https://motherchildnutrition.org.
United Nations Children’s Fund (UNICEF). Improving young children’s diets during the complementary feeding period. UNICEF Programming Guidance. New York: UNICEF. 2020.
Mbuthia F, Reid M, Fichardt A. MHealth communication to strengthen postnatal care in rural areas: a systematic review. BMC Pregnancy Childbirth. 2019;19(1):1–10.
Fadare O, Amare M, Mavrotas G, Akerele D, Ogunniyi A. Mother’s nutrition-related knowledge and child nutrition outcomes: empirical evidence from Nigeria. PLoS ONE. 2019;14:1–17.
Breastfeeding counselling in emergencies: operational guidance. Oncology. 2021 (3507. https://www.globalbreastfeedingcollective.org/media/1536/file/Breastfeeding-counselling-in-Emergencies-2021.pdf).
Chai LK, Collins CE, May C, Brown LJ, Ashman A, Burrows TL. Fidelity and acceptability of a family-focused technology-based telehealth nutrition intervention for child weight management. J Telemed Telecare. 2021;27(2):98–109.
Khan SS, Patel A, Puranik A, Kuhite P, Pusdekar Y, Dibley MJ, Alam A. Use of mobile health in infant and young child nutrition: a formative study in rural Maharashtra. Qual Rep. 2020;25(6):1671–1671.
Qian J, Wu T, Lv M, Fang Z, Chen M, Zeng Z, et al. The value of mobile health in improving breastfeeding outcomes among perinatal or postpartum women: systematic review and meta-analysis of randomized controlled trials. JMIR mHealth uHealth. 2021;9(7):1–12.
Jerin I, Akter M, Talukder K, Talukder MQEK, Rahman MA. Mobile phone support to sustain exclusive breastfeeding in the community after hospital delivery and counseling: a quasi-experimental study. Int Breastfeed J. 2020;15(1):1–11.
Ogaji DS, Arthur AO, George I. Effectiveness of mobile phone-based support on exclusive breastfeeding and infant growth in Nigeria: a randomized controlled trial. J Trop Pediatr. 2021;67(1):1.
Mekonnen ZA, Gelaye KA, Were MC, Tilahun B. Acceptability, barriers and facilitators of mobile text message reminder system implementation in improving child vaccination: a qualitative study in northwest Ethiopia. J Multidiscip Healthc. 2021;14:605–16.
Article PubMed PubMed Central Google Scholar
Lee SH, Nurmatov UB, Nwaru BI, Mukherjee M, Grant L, Pagliari C. Effectiveness of mHealth interventions for maternal, newborn and child health in low- and middle-income countries: systematic review and meta-analysis. J Glob Health. 2016;6(1).
Jiang H, Li M, Wen LM, Hu Q, Yang D, He G. Effect of short message service on infant feeding practice findings from a community-based study in Shanghai, China. JAMA Pediatr. 2014;168(5):471–8.
Jiang H, Biviji R, Hmone MP, Li M, Alam A, Dibley MJ, et al. Mobile phone short messages to improve exclusive breastfeeding and reduce adverse infant feeding practices: protocol for a randomized controlled trial in Yangon, Myanmar. JMIR Res Protoc. 2017;6(6):e7679.
Dol J, Richardson B, Tomblin Murphy G, Aston M, McMillan D, Campbell-Yeo M. Impact of mobile health (mHealth) interventions during the perinatal period for mothers in low- and middle-income countries: a systematic review. JBI Database System Rev Implement.
Mangwi Ayiasi R, Kolsteren P, Batwala V, Criel BOC. Effect of Village Health team home visits and mobile phone consultations on maternal and newborn care practices in Masindi and Kiryandongo, Uganda: a community-intervention trial. PLoS ONE. 2016;11(4):e0153051. https://doi.org/10.1371/journal.pone.
Article CAS PubMed PubMed Central Google Scholar
Zunza M, Cotton MF, Mbuagbaw L, Lester R, Thabane L. Interactive weekly mobile phone text messaging plus motivational interviewing in promotion of breastfeeding among women living with HIV in South Africa : study protocol for a randomized controlled trial. Trials. 2017;18:1–8.
Lakhani CM, Tierney BT, Jian AK, Pate M. Short message service communication improves exclusive breastfeeding and early postpartum contraception in a low- to middle-income country setting: a randomised trial. Physiol Behav. 2019;176(3):139–48.
Flax VL, Ibrahim AU, Negerie M, Yakubu D, Leatherman S, Bentley ME. Group cell phones are feasible and acceptable for promoting optimal breastfeeding practices in a women’s microcredit program in Nigeria. Matern Child Nutr. 2017;13(1):1–9.
Guyon A, Bock A, Buback L, Knittel B. Mobile-based nutrition and child health monitoring to inform program development: an experience from Liberia. Glob Health Sci Pract. 2016;4(4):661–74.
Article PubMed PubMed Central Google Scholar
Flax VL, Ipadeola A, Schnefke CH, Ralph-Opara U, Adeola O, Edwards S, et al. Breastfeeding interpersonal communication, mobile phone support, and mass media messaging increase exclusive breastfeeding at 6 and 24 weeks among clients of private health facilities in Lagos, Nigeria. J Nutr. 2022;155(5):1316–26. https://doi.org/10.1093/jn/nxab450.
Achanyi-Fontem J. Use of mobiles for breastfeeding counselling: the role of mobiles in promoting new learning. Pan-Commonwealth Forum. 2013;7:1–7.
Flax VL, Negerie M, Ibrahim AU, Leatherman S, Daza EJ, Bentley ME. Integrating group counseling, cell phone messaging, and participant-generated songs and dramas into a microcredit program increases Nigerian women’s adherence to international breastfeeding recommendations. J Nutr. 2014;144(7):1120–4.
Article CAS PubMed PubMed Central Google Scholar
Schneider L, Ollila S, Mutanen M. The usefulness of nutrition and health videos displayed on mobile phones in rural Uganda: experiences of community health workers and mothers. Matern Child Nutr. 2022;18(2):e13322. https://doi.org/10.1111/mcn.13322.
Article PubMed PubMed Central Google Scholar
Adam M, Johnston J, Job N, Dronavalli M, Le Roux I, Mbewu N, et al. Evaluation of a community-based mobile video breastfeeding intervention in Khayelitsha, South Africa: the Philani MOVIE cluster-randomized controlled trial. PLoS Med. 2021;18(9):1–25.
Adam M, Tomlinson M, Le Roux I, Lefevre AE, McMahon SA, Johnston J, et al. The Philani MOVIE study: a cluster-randomized controlled trial of a mobile video entertainment-education intervention to promote exclusive breastfeeding in South Africa. BMC Health Serv Res. 2019;19(1):1–14.
Media S. Research topics all publications methods short reads tools & resources experts abo. 2021; 2013:1–11. https://www.pewresearch.org/g.
Royston G, Hagar C, Long LA, McMahon D, Pakenham-Walsh N, Wadhwani N. Mobile health-care information for all: a global challenge. Lancet Glob Heal. 2015;3(7):e356–7.
Harris B, Ajisola M, Alam RM, Watkins JA, Arvanitis TN, Bakibinga P, et al. Mobile consulting as an option for delivering healthcare services in low-resource settings in low- and middle-income countries: a mixed-methods study. Digit Health. 2021;7:1–24. https://doi.org/10.1177/20552076211033425.
Sowon K, Maliwichi P, Chigona W. The influence of design and implementation characteristics on the use of maternal mobile health interventions in Kenya: systematic literature review. JMIR mHealth uHealth. 2022;10(1):1–19.
Obasola O. Using technology to promote safe maternal health practices in Nigeria | The AAS. 2022. p. 1–4. https://aasciences.africa/new.
Ojo AI. mHealth Interventions in South Africa: a review. SAGE Open. 2018;8(1):2158244018767223.
Shenoy A, Qashri A, Bothe M, Chifamba N, Downscaling VGI. Readiness for e-Health in Sub-Saharan Africa readiness for e-Health in Sub-Saharan Africa. 2020;(May).
Adam M, Johnston J, Job N, Dronavalli M, Le Roux I, Mbewu N, et al. Evaluation of a community-aa mobile video breastfeeding intervention in Khayelitsha, South Africa: the Philani MOVIE cluster-randomized controlled trial. PLoS Med. 2021;18(9):1–25.
Flax VL, Ipadeola A, Schnefke CH, Ralph-Opara U, Adeola O, Edwards S, et al. Breastfeeding interpersonal communication, mobile phone support, and mass media messaging increase exclusive breastfeeding at 6 and 24 weeks among clients of private health facilities in Lagos, Nigeria. J Nutr. 2022;152(5):1316–26.
Article PubMed PubMed Central Google Scholar
Chen H, Chai Y, Dong L, Niu W, Zhang P. Effectiveness and appropriateness of mHealth interventions for maternal and child health: systematic review. JMIR mHealth uHealth. 2018;6(1):e7. https://doi.org/10.2196/mhealth.8998.
Article PubMed PubMed Central Google Scholar
Lau Y, Htun TP, Tam WSW, Klainin-Yobas P. Efficacy of e-technologies in improving breastfeeding outcomes among perinatal women: a meta-analysis. Matern Child Nutr. 2016;12(3):381–401.
Tufanaru C, Munn Z, Aromataris E, Campbell J, Hopp L. JBI critical appraisal checklist for randomized controlled trials. Chapter 3: systematic reviews of effectiveness. 2020. p. 3. https://synthesismanual.jbi.global.
Review Manager (RevMan) [Computer program]. Version 5.4.1. The Cochrane Collaboration. 2020.
Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557. https://doi.org/10.1136/bmj.327.7414.557.
Article PubMed PubMed Central Google Scholar
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Front matter. In: Borenstein M, Hedges LV, Higgins JPT, Rothstein HR, editors. Introduction to meta-analysis. New York: Wiley; 2009. https://doi.org/10.1002/9780470743386.fmatter.
Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Br Med J. 1997;315(7109):629–34.
Duval S, Tweedie R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56(2):455–63.
Comments (0)