Effectiveness of Mobile Applications in Enhancing Family Involvement For Early High-Risk Pregnancy Detection: A Systematic Review

Authors

  • Nina Surya Phd student of Health Science Lincoln University
  • Gunavathy Selvarajh Faculty of Health Science, Universitas Pasir Pengaraian , Jl. Tuanku Tambusai Rambah Hilir, Rokan Hulu Riau, Indonesia 28557

DOI:

https://doi.org/10.31674/ijbb.2025.v02i02.001

Abstract

Background: Pregnancy complications pose significant risks to maternal and fetal health, making early detection crucial for improving outcomes. Mobile applications have emerged as potential tools for enhancing maternal awareness and facilitating early detection of pregnancy complications. The detection of high-risk pregnancies is essential for reducing maternal and neonatal complications. M-Health applications have emerged as a promising tool to improve maternal health. The role of family involvement in using these digital interventions remains underexplored.

Objective: This systematic review evaluates the effectiveness of mobile applications in enhancing family involvement for the early detection of high-risk pregnancies.

Methods: A systematic search was conducted by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Electronic databases such as PubMed, Scopus, ScienceDirect, IEEE Xplore, Cochrane Library, and Google Scholar were used for studies published between 2021 and 2025. The PICO format was used in the literature search process. Inclusion criteria covered studies focusing on mobile pregnancy risk detection applications involving family participation; English Article. Data extraction focused on user engagement, health outcomes, and barriers to implementation.

Results: It was found that there were around 1,400 articles in research journals related to the theme. There are 7 articles reviewed.  Through features like symptom tracking, risk assessment, and real-time communication, mobile applications greatly improve family engagement and early detection of high-risk pregnancies. These resources promoted improved family-provider cooperation, decreased maternal anxiety, and increased adherence to prenatal care. 

Conclusion:  The efficacy of mobile applications in increasing family involvement for early high-risk pregnancy diagnosis is assessed rigorously and transparently in this PRISMA investigation. Mobile health is an effective tool for enhancing family involvement and early detection in high-risk pregnancies. Policymakers and healthcare providers should consider integrating these technologies into antenatal care programs while addressing accessibility.

Keywords: M-Health, pregnancy risk detection, maternal empowerment, family involvement,  antenatal care

Keywords:

M-Health, pregnancy risk detection, maternal empowerment, family involvement,antenatal care

References

Hartmann, Joan. 2024. “High-Risk Pregnancy Care in 2024 : Balancing Precision Medicine and Patient-Centered Approaches.” 8(6): 155169. doi:10.35841/aapnm-8.6.238.

Hoodbhoy, Zahra, Sana Sadiq Sheikh, Rahat Qureshi, Javed Memon, Farrukh Raza, Mai Lei Woo Kinshella, Jeffrey N. Bone, et al. 2021. “Role of Community Engagement in Maternal Health in Rural Pakistan: Findings from the CLIP Randomized Trial.” Journal of Global Health 11: 04045. doi:10.7189/jogh.11.04045.

Johnson, Alby, Sasi Vaithilingan, and Latha Ragunathan. 2024. “Quantifying the Occurrence of High-Risk Pregnancy: A Comprehensive Survey.” Cureus 16(4). doi:10.7759/cureus 59040.

Kavi, Avinash, Mai Lei Woo Kinshella, Umesh Y. Ramadurg, Umesh Charantimath, Geetanjali M. Katageri, Chandrashekhar C. Karadiguddi, Narayan V. Honnungar, et al. 2022. “Community Engagement for Birth Preparedness and Complication Readiness in the Community Level Interventions for Pre-Eclampsia (CLIP) Trial in India: A Mixed-Method Evaluation.” BMJ Open 12(12): 1–10. doi:10.1136/bmjopen-2021-060593.

Kshatri, Jaya S., Parmeshwar Satpathy, Sumita Sharma, Trilochan Bhoi, Smruti P. Mishra, and Soumya S. Sahoo. 2022. “Health Research in the State of Odisha, India: A Decadal Bibliometric Analysis (2011‑2020).” Journal of Family Medicine and Primary Care 6(2): 169–70. doi:10.4103/jfmpc.jfmpc.

Mane, Ujwala R, Jyoti A Salunkhe, and Satish Kakade. 2024. “Family Support to Women During Pregnancy and Its Impact on Maternal and Fetal Outcomes.” Cureus 16(6). doi:10.7759/cureus.62002.

Mazaheri Habibi, Mohammad Reza, Fateme Moghbeli, Mostafa Langarizadeh, and Seyed Ali Fatemi Aghda. 2024. “Mobile Health Apps for Pregnant Women Usability and Quality Rating Scales: A Systematic Review.” BMC Pregnancy and Childbirth 24(1): 1–9. doi:10.1186/s12884-023-06206-z.

Mishra, Manisha, Debasini Parida, Jogesh Murmu, Damini Singh, Tanveer Rehman, Jaya Singh Kshatri, and Sanghamitra Pati. 2023. “Effectiveness of MHealth Interventions for Monitoring Antenatal Care among Pregnant Women in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis.” Healthcare (Switzerland) 11(19). doi:10.3390/healthcare11192635.

Nagraj, Shobhana, Stephen Kennedy, Vivekananda Jha, Robyn Norton, Lisa Hinton, Laurent Billot, Eldho Rajan, et al. 2023. “A Mobile Clinical Decision Support System for High-Risk Pregnant Women in Rural India (SMARThealth Pregnancy): Pilot Cluster Randomized Controlled Trial.” JMIR Formative Research 7: 1–14. doi:10.2196/44362.

Parker, Jim, Pierre Hofstee, and Shaun Brennecke. 2024. “Prevention of Pregnancy Complications Using a Multimodal Lifestyle, Screening, and Medical Model.” Journal of Clinical Medicine 13(15). doi:10.3390/jcm13154344.

Sandborg, Johanna, Emmie Söderström, Pontus Henriksson, Marcus Bendtsen, Maria Henström, Marja H. Leppänen, Ralph Maddison, et al. 2021. “Effectiveness of a Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity during Pregnancy (Healthymoms): Randomized Controlled Trial.” JMIR mHealth and uHealth 9(3). doi:10.2196/26091.

Published

27-08-2025

How to Cite

Nina Surya, & Gunavathy Selvarajh. (2025). Effectiveness of Mobile Applications in Enhancing Family Involvement For Early High-Risk Pregnancy Detection: A Systematic Review. International Journal of Biotechnology and Biomedicine (IJBB), 2(2), 1-10. https://doi.org/10.31674/ijbb.2025.v02i02.001

Metrics