Chee Wai Ku, Yu Bin Tan, Sze Ing Tan, Chee Onn Ku, Keith M Godfrey, Kok Hian Tan, Shiao-Yng Chan, Liying Yang, Fabian Yap, See Ling Loy, Jerry Kok Yen Chan
{"title":"全方位孕前保健:通过移动应用程序提供实时指导,优化母婴健康。","authors":"Chee Wai Ku, Yu Bin Tan, Sze Ing Tan, Chee Onn Ku, Keith M Godfrey, Kok Hian Tan, Shiao-Yng Chan, Liying Yang, Fabian Yap, See Ling Loy, Jerry Kok Yen Chan","doi":"10.47102/annals-acadmedsg.2023283","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":502093,"journal":{"name":"Annals of the Academy of Medicine, Singapore","volume":"53 5","pages":"306-317"},"PeriodicalIF":2.5000,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Holistic preconception care: Providing real-time guidance via a mobile app to optimise maternal and child health.\",\"authors\":\"Chee Wai Ku, Yu Bin Tan, Sze Ing Tan, Chee Onn Ku, Keith M Godfrey, Kok Hian Tan, Shiao-Yng Chan, Liying Yang, Fabian Yap, See Ling Loy, Jerry Kok Yen Chan\",\"doi\":\"10.47102/annals-acadmedsg.2023283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":502093,\"journal\":{\"name\":\"Annals of the Academy of Medicine, Singapore\",\"volume\":\"53 5\",\"pages\":\"306-317\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of the Academy of Medicine, Singapore\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47102/annals-acadmedsg.2023283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the Academy of Medicine, Singapore","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47102/annals-acadmedsg.2023283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
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.