Meta-Analysis: The Effectiveness of Using mHealth to Improve Antenatal Care

Authors

  • Mayriyana Kartikasari Master's Program in Public Health, Universitas Sebelas Maret, Surakarta
  • Didik Tamtomo Faculty of Medicine, Universitas Sebelas Maret
  • Bhisma Murti Master's Program in Public Health, Universitas Sebelas Maret, Surakarta

DOI:

https://doi.org/10.26911/thejmch.2022.07.03.12

Abstract

Background: One of the innovations in technology in health that can be used is mHealth. The use of technology such as mHealth allows for the dissemination of information to pregnant women in an effort to improve antenatal care. This study aims to determine the effectiveness of using mHealth on antenatal care.

Subjects and Method: This was a systematic review and meta-analysis study using PICO, Population: Pregnant women, Intervention: Using mHealth, Com­parison: Not using mHealth/ standard services, Outcome: ANC visits. The articles used in this study came from 6 databases including Pubmed, ScienceDirect, Google Scholar, BMJ, Springer link, Sage, and Core. The keywords of the article are, Telemedicine OR Mobile Health OR Health Mobile OR Telehealth OR mHealth OR eHealth AND Short Message AND Quality Improvement OR Quality Improvement OR Quality Improvements OR Quality Improvements AND Prenatal Care OR Prenatal Care OR Antenatal Care OR Antenatal Care. The articles included in this study are complete articles, RCT study designs for 2012-2022.

Results: There are 8 RCT articles from 3 continents, including Africa (Kenya, Ethiopia, Zanzibar), Asia (India), America (Peru, Brazil). It was found that using mHealth could increase ANC visits by 1.32 times compared to not using mHealth (RR=1.32; 95% CI=1.10 to 1.59; p=0.003).

Conclusion: effective use of mHealth to improve antenatal care.

Keywords:

mHealth, pregnant women, ANC

References

Arsenault C, Jordan K, Lee D, Dinsa G, Manzi F, Marchant T, Kruk ME (2018). Equity in antenatal care quality: an analysis of 91 national household surveys. Lancet. Glob. Health 6(11): e1186–e1195 https://doi.org/10.1016/S2214-109X(18)303899.

Atnafu A, Otto K, Herbst CH (2017). The role of mHealth intervention on maternal and child health service delivery: findings from a randomized controlled field trial in rural Ethiopia. mHealth 3: 39–39 https://doi.org/10.21037/MHEALTH.2017.08.04.

Cormick G, Kim NA, Rodgers A, Gibbons L, Buekens PM, Belizán JM, Althabe F (2012). Interest of pregnant women in the use of SMS (short message service) text messages for the improve-ment of perinatal and postnatal care. Reprod. Health 9(9): 1-7. https://doi.org/10.1186/1742475599.

Evans WD, Abroms LC, Poropatich R, Nielsen PE, Wallace JL (2012). Mobile health evaluation methods: The Text4baby case study. J. Health Co-mmun. 17(1): 22–29 https://doi.org/10.1080/10810730.2011.649157.

Garcia PJ, Perez-Lu J, Curioso WH, Carcamo CP, Beuermann D (2021). WAWARED: getting connected using mobile technologies for better maternal and child health in Peru: A Randomized Controlled Trial. Heal. Sys Policy Res. 8(S1): 1–7 www.imedpub.com.

Khorshid MR, Afshari P, Abedi P (2014). The effect of SMS messaging on the compliance with iron supplementation among pregnant women in Iran: a randomized controlled trial. J. Telemed. Telecare. 20(4): 201–206 https://doi.org/10.1177/1357633X14533895.

Lund S, Nielsen BB, Hemed M, Boas IM, Said A, Said K, Makungu MH et al (2014). Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial. BMC Pregnancy Childbirth. 14(1): 14-29 https://doi.org/10.1186/147123931429.

Murthy N, Chandrasekharan S, Prakash MP, Ganju A, Peter J, Kaonga N, Mechael P (2020). Effects of an mHealth voice message service (mMitra) on maternal health knowledge and practices of low-income women in India: Findings from a pseudo-randomized controlled trial. BMC Public Health 20(1): 1–10 https://doi.org/10.1186/s12889020089652.

Oliveira-Ciabati L, Vieira CS, Franzon ACA, Alves D, Zaratini FS, Braga GC, Sanchez JAC, et al. (2017). PRENACEL - A mHealth messaging system to complement antenatal care: A cluster randomized trial. Reprod. Health 14(1): 1–12 https://doi.org/10.1186/s1297801704071.

Parker RM, Dmitrieva E, Frolov S, Gazmararian JA (2012). Text4baby in the United States and Russia: An Opportunity for Understanding How mHealth Affects Maternal and Child Health. J. Health Commun. 17(1): 30–36 https://doi.org/10.1080/10810730.2011.649162.

Rahman MO, Yamaji N, Nagamatsu Y, Ota E (2022). Effects of mHealth Interventions on Improving Antenatal Care Visits and Skilled Delivery Care in Low-and Middle-Income Countries: Systematic Review and Meta-analysis. J Med Internet Res. 24(4): e34061 https://doi.org/10.2196/34061.

Villar J, Ba’aqeel H, Piaggio G, Lumbiganon P, Miguel Belizán J, Farnot U, Al-Mazrou Y, et al. (2001). WHO antenatal care randomised trial for the evaluation of a new model of routine antenatal care. Lancet. 357(9268): 1551–1564 https://doi.org/10.1016/S01406736(00)04722X

WHO Global Observatory for eHealth (2011). mHealth: New horizons for health through mobile technologies: second global survey on Ehealth. Geneva: World Health Organization. https://apps.who.int/iris/handle/10665/44607.

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Published

2022-05-16

How to Cite

Kartikasari, M., Tamtomo, D., & Murti, B. (2022). Meta-Analysis: The Effectiveness of Using mHealth to Improve Antenatal Care. Journal of Maternal and Child Health, 7(3), 359–367. https://doi.org/10.26911/thejmch.2022.07.03.12

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