Holistic preconception care: Providing real-time guidance via a mobile app to optimise maternal and child health

Author:

Ku Chee Wai1,Tan Yu Bin2,Tan Sze Ing3,Ku Chee Onn4,Godfrey Keith M5,Tan Kok Hian2,Chan Shiao-Yng6,Yang Liying7,Yap Fabian2,Loy See Ling1,Chan Jerry Kok Yen1

Affiliation:

1. KK Women’s and Children’s Hospital, Singapore

2. Duke-NUS Medical School, Singapore

3. Nanyang Technological University, Singapore

4. National University of Singapore, Singapore

5. University of Southampton, Southampton, United Kingdom

6. Agency for Science, Technology and Research, Singapore

7. Singapore General Hospital, Singapore

Abstract

Introduction: Preconception is a critical period to optimise gamete function and early placental development, essential for successful conception and long-term maternal-child health. However, there is a lack of preconception services and consequently, global fertility rates continue to fall and mothers embark on their pregnancy journey in poor health. There is an urgent need to implement a holistic community-level preconception care programme to optimise risk factors for poor fecundability and improve long-term maternal-child health. Method: We reviewed current evidence on fecundability lifestyle risk factors, the efficacy of existing preconception interventions and the use of digital platforms for health optimisation, to create a new digital-based preconception intervention model that will be implemented via an app. We present the theory, content and mode of delivery of this holistic model targeting couples planning for pregnancy. Results: We propose a new model featuring a user-friendly mobile app, which enables couples to self-assess fecundability risks through a personalised risk score that drives a tailored management plan. This tiered management provides anticipatory guidance supported by evidence-based recommendations, and promotes ongoing engagement for behavioural optimisation and specialist referrals as required. Based on the health belief model, this new model delivered with a mobile app seeks to shift couples’ perceptions about their susceptibility and severity of subfertility, benefits of making a change and barriers to change. Conclusion: Our proposed digital-based intervention model via a mobile app stands to enhance preconception care by providing personalised risk assessments, real-time feedback and tiered management to optimise preconception reproductive health of couples. This model forms a reference content framework for future preconception care intervention delivery.

Publisher

Academy of Medicine, Singapore

Reference61 articles.

1. United Nations DoEaSA, Population Division. 2022 Revision of World Population Prospects. https://population.un.org/wpp/. Accessed 2 December 2022.

2. United Nations. World Population Prospects - Singapore Fertility Rate 1950-2022. 2022.

3. Division NPaT. Our Sustainable Population Objectives. https://www.population.gov.sg/our-population/overview/. Accessed 2 December 2022.

4. Coale AJ. Demographic Effects of Below-Replacement Fertility and Their Social Implications. Population and Development Review 1986;12:203-16.

5. Loy SL, Ku CW, Tiong MMY, et al. Modifiable risk factor score and fecundability in a Singapore preconception cohort in Singapore. JAMA Netw Open 2023;6:e2255001.

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