Effectiveness of a Digital Platform-Based Breastfeeding Education Intervention on Maternal Attitudes and Exclusive Breastfeeding Success: A Quasi-Experimental Study with Six-Month Follow-Up

Authors

  • Arifa rahmi
  • Asrial Asrial
  • Muhammad Rusdi
  • Solha Elrifda

Keywords:

Breastfeeding education, digital health intervention, exclusive breastfeeding, maternal attitudes, mobile health, quasi-experimental study

Abstract

OBJECTIVE: To test the effect of a digital platform-based breastfeeding educational intervention on maternal attitudes toward breastfeeding and exclusive breastfeeding success over a 6-month follow-up.

METHODOLOGY: This study used a quasi-experimental, non-equivalent control-group, pretest-posttest design with a 6-month follow-up. A total of 140 pregnant women (28–40 weeks gestation, aged 18–45 years) were recruited consecutively and allocated to the intervention (digital platform-based breastfeeding education) and control (standard care) groups, based on the health facility. Breastfeeding attitudes were measured using the Breastfeeding Attitude Scale (32 items, Cronbach's ? = 0.89; CVI = 0.92). Secondary variables included exclusive breastfeeding success, breastfeeding duration, and breastfeeding barriers. Measurements were conducted at baseline, postpartum, and months 1, 3, and 6. Data analysis included Repeated-Measures ANOVA, logistic regression, Chi-square tests, and Kaplan-Meier analysis. Poltekkes Kemenkes Jambi, Jambi, Indonesia, approved this study (approval number: LB. 02.06/2/1015/2 /1015/2025).

RESULTS: The intervention group reported significantly higher attitude scores after the intervention (122.4±10.8 vs 72.1±8.2, p<0.001) and at the 6-month follow-up (120.6±11.4 vs 75.6±9.8, p<0.001). Exclusive breastfeeding at six months was significantly higher in the intervention group (70.0% vs 34.3%, RR=2.04, 95%CI:1.43-2.91, p<0.001). Higher platform engagement, positive attitudes, breastfeeding self-efficacy, and family support were all significant predictors of exclusive breastfeeding success.

CONCLUSION: Maternal attitudes and exclusive breastfeeding rates with digital platform-based breastfeeding education are significantly affected, indicative of a digital approach that is an efficient and scalable intervention mechanism of optimal infant feeding practice.

References

1. Purkiewicz A, Regin KJ, Mumtaz W. Breastfeeding: The Multifaceted Impact on Child Development and Maternal Well-Being. Nutrients 2025; 17(8): 1–26. doi: 10.3390/nu17081326.

2. Zewdu F, Mekonnen S, Atenafu A. Early initiation of breastfeeding and exclusive breastfeeding practices and associated factors among first-time mothers attending governmental maternal and child health clinics in Gondar town, Northwest Ethiopia: a mixed method study. Int Breastfeed J 2025; 20(1): 1–15. doi: 10.1186/s13006-025-00718-4.

3. Fro? A, Orczyk-Pawi?owicz M. Breastfeeding Beyond Six Months: Evidence of Child Health Benefits. Nutrients 2024; 16(22): 1–26. doi: 10.3390/nu16223891.

4. Masi AC, Stewart CJ. Role of breastfeeding in disease prevention. Microb Biotechnol 2024; 17(7): 1–10. doi: 10.1111/1751-7915.14520.

5. Pereira-Kotze C, Zambrano P, Nguyen TT. Evidence-Based Lessons from Policy Implementation Research in Two Countries Achieving Progress on Global Breastfeeding Targets: Recommendations from the Philippines and Viet Nam. Healthcare 2025; 13(5): 1–27. doi: 10.3390/healthcare13050544.

6. Ziebart M, Kammermeier M, Koletzko B. Mobile applications for promoting and supporting breastfeeding: Systematic review and meta?analysis. Matern Child Nutr 2025; 21(1): 1–14. doi: 10.1111/mcn.13733.

7. Ziebart M, Kammermeier M, Koletzko B. Mobile applications for promoting and supporting breastfeeding: Systematic review and meta?analysis. Matern Child Nutr 2025; 21(1): 1–14. doi: 10.1111/mcn.13733.

8. Sun Y, Gao Y, Zhu Z. Effect of online intervention mode on breastfeeding results: a systematic review and meta-analysis. Reprod Health 2023; 20(1): 1–13. doi: 10.1186/s12978-023-01701-0.

9. Wu Q, Huang Y, Helena van Velthoven M. Feasibility of using WeChat to improve infant and young child feeding in rural areas in China: A mixed quantitative and qualitative study. PLoS One 2021; 16(2): 1–15. doi: 10.1371/journal.pone.0246942.

10. Bessey D. Scaling Smart: The Potential of Digital Strategies to Promote Breastfeeding in Low? and Middle?Income Countries. Matern Child Nutr 2026; 22(1): 1–6. doi: 10.1111/mcn.70147.

11. de Souza J, Calsinski C, Chamberlain K. Investigating interactive methods in remote chestfeeding support for lactation consulting professionals in Brazil. Front Digit Health 2023; 5(4): 1–12. doi: 10.3389/fdgth.2023.1143528.

12. Akça K, Kekil S, ÖZCAN M. Maternal Readiness for Weaning: Influencing Factors and Determinants. Revista Da Escola De Enfermagem Da Usp 2025; doi: 10.1590/1980-220x-reeusp-2025-0163en.

13. Araújo D, Morgado C, Correia?Pinto J. Predicting Insulin Resistance in a Pediatric Population With Obesity. J Pediatr Gastroenterol Nutr 2023; 77(6): 779–787; doi: 10.1097/mpg.0000000000003910.

14. Jama AA. Factors Associated With Malnutrition Among Children Aged 6–59 Months in Burao, Somaliland. Sci Rep 2025; 15(1): doi: 10.1038/s41598-025-02085-w.

15. Zahid FM, Faisal S, Kamal S. Model Selection and Identification of Osteoporosis Risk Factors in Women to Improve Their Healthcare. J Healthc Eng 2023; 2023(1): doi: 10.1155/2023/3571769.

16. Müller BS, Uhlmann L, Ihle P. Development and Internal Validation of Prognostic Models to Predict Negative Health Outcomes in Older Patients with Multimorbidity and Polypharmacy in General Practice. BMJ Open 2020; 10(10): 1–17. doi: 10.1136/bmjopen-2020-039747.

17. Halicka M, Wilby M, Duarte R. Predicting Patient-Reported Outcomes Following Lumbar Spine Surgery: Development and External Validation of Multivariable Prediction Models. BMC Musculoskelet Disord 2023; 24(1): 1–16. doi: 10.1186/s12891-023-06446-2.

18. Ramberg H, Zucknick M, Barletta F. Development and Evaluation of a Lymph Node Invasion Risk Prediction Model in Intermediate- And High-Risk Prostate Cancer Patients. Acta Oncol (Madr) 2025; 64: 1446–1454. doi: 10.2340/1651-226x.2025.43970.

19. Adokiya MN, Bukari M, Ndago JA. Exclusive breastfeeding among beneficiaries of a nutrition enhancement programme and its associated factors in Ghana. PLoS One 2023; 18(5): 1–11. doi: 10.1371/journal.pone.0286546.

20. Holanda ER d, Silva IL d. Factors Associated with Early Weaning and Spatial Pattern of Breastfeeding in Territory in the Zona Da Mata of Pernambuco, Brazil. Revista Brasileira De Saúde Materno Infantil 2022; 22(4): 803–812; doi: 10.1590/1806-930202200040005.

21. Mestre CT, Excellent D V, Jaynes S. Innovations in Breastfeeding Support. Clin Obstet Gynecol 2022; 65(3): 648–662; doi: 10.1097/grf.0000000000000736.

22. Daou D, Tamim H, Nabulsi M. Assessing the Impact of Professional Lactation Support Frequency, Duration and Delivery Form on Exclusive Breastfeeding in Lebanese Mothers. PLoS One 2020; 15(9): 1. doi: 10.1371/journal.pone.0238735.

23. Kalluri NS, Padilla-Garza E, Kehoe T. Implementation of a Language-Concordant, Culturally Tailored Inpatient Lactation Program. JAMA Netw Open 2025; 8(3): 1–12. doi: 10.1001/jamanetworkopen.2025.0274.

24. Tang X, Patterson P, MacKenzie?Shalders K. Workplace Programmes for Supporting Breast-Feeding: A Systematic Review and Meta-Analysis. Public Health Nutr 2020; 24(6): 1501–1513. doi: 10.1017/s1368980020004012.

25. Obiakor GC, Banta JE, Sinclair R. The Impact of Social Determinants of Maternal Mental Health in Marginalized Mothers. J Women Health 2024; 33(5): 650–661. doi: 10.1089/jwh.2022.0137.

26. Chen T-L, Chen L-L, Gau M-L. Association between breastfeeding-friendly environmental factors and breastfeeding practices at 6 months in mothers in Taiwan. Int Breastfeed J. 2024; 19(1): 1–10. doi: 10.1186/s13006-024-00681-6.

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Published

01-09-2026

How to Cite

1.
Arifa rahmi, Asrial Asrial, Muhammad Rusdi, Solha Elrifda. Effectiveness of a Digital Platform-Based Breastfeeding Education Intervention on Maternal Attitudes and Exclusive Breastfeeding Success: A Quasi-Experimental Study with Six-Month Follow-Up. J Liaq Uni Med Health Sci [Internet]. 2026 Sep. 1 [cited 2026 Sep. 2];25(04):238-45. Available from: http://121.52.154.205/index.php/jlumhs/article/view/1994

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