Holistic preconception care: providing real-time guidance via a mobile app to optimise maternal and child health
Holistic preconception care: providing real-time guidance via a mobile app to optimise maternal and child health
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 recommen-dations, 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 preconcep-tion 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.
Child Health, Female, Fertility, Holistic Health, Humans, Maternal Health, Mobile Applications, Preconception Care/methods, Pregnancy, Risk Factors
306-317
Ku, Chee Wai
dfc052e9-1c22-473f-b11d-ed82b15b9ca6
Tan, Yu Bin
8c83334d-382c-4a43-9e27-5ed82447d54a
Tan, Sze Ing
2dea6a57-96a6-41fc-ba7a-a42b43f10d4b
Ku, Chee Onn
3bcd97c5-a373-4147-8ca1-724de8dbab78
Godfrey, Keith M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Tan, Kok Hian
4714c94d-334a-42ad-b879-f3aa3a931def
Chan, Shiao-Yng
3c9d8970-2cc4-430a-86a7-96f6029a5293
Yang, Liying
3dd8baa4-22fd-49fb-a5fa-a2a59a2a4449
Yap, Fabian
40fd8e80-e79d-4572-b2ed-e72bc613b26d
Loy, See Ling
6fd10b64-1de2-419e-a5f4-b505be233e6e
Chan, Jerry Kok Yen
5d469084-919c-4857-9a87-0da7fcd7e77d
28 May 2024
Ku, Chee Wai
dfc052e9-1c22-473f-b11d-ed82b15b9ca6
Tan, Yu Bin
8c83334d-382c-4a43-9e27-5ed82447d54a
Tan, Sze Ing
2dea6a57-96a6-41fc-ba7a-a42b43f10d4b
Ku, Chee Onn
3bcd97c5-a373-4147-8ca1-724de8dbab78
Godfrey, Keith M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Tan, Kok Hian
4714c94d-334a-42ad-b879-f3aa3a931def
Chan, Shiao-Yng
3c9d8970-2cc4-430a-86a7-96f6029a5293
Yang, Liying
3dd8baa4-22fd-49fb-a5fa-a2a59a2a4449
Yap, Fabian
40fd8e80-e79d-4572-b2ed-e72bc613b26d
Loy, See Ling
6fd10b64-1de2-419e-a5f4-b505be233e6e
Chan, Jerry Kok Yen
5d469084-919c-4857-9a87-0da7fcd7e77d
Ku, Chee Wai, Tan, Yu Bin, Tan, Sze Ing, Ku, Chee Onn, Godfrey, Keith M., Tan, Kok Hian, Chan, Shiao-Yng, Yang, Liying, Yap, Fabian, Loy, See Ling and Chan, Jerry Kok Yen
(2024)
Holistic preconception care: providing real-time guidance via a mobile app to optimise maternal and child health.
Annals of the Academy of Medicine, Singapore, 53 (5), .
(doi:10.47102/annals-acadmedsg.2023283).
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 recommen-dations, 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 preconcep-tion 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.
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e-pub ahead of print date: 21 May 2024
Published date: 28 May 2024
Keywords:
Child Health, Female, Fertility, Holistic Health, Humans, Maternal Health, Mobile Applications, Preconception Care/methods, Pregnancy, Risk Factors
Identifiers
Local EPrints ID: 491858
URI: http://eprints.soton.ac.uk/id/eprint/491858
ISSN: 0304-4602
PURE UUID: 051c0345-e00a-4fc0-ab1c-f4bcd60413f3
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Date deposited: 04 Jul 2024 17:20
Last modified: 17 Aug 2024 01:33
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Contributors
Author:
Chee Wai Ku
Author:
Yu Bin Tan
Author:
Sze Ing Tan
Author:
Chee Onn Ku
Author:
Kok Hian Tan
Author:
Shiao-Yng Chan
Author:
Liying Yang
Author:
Fabian Yap
Author:
See Ling Loy
Author:
Jerry Kok Yen Chan
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