Academic Journal
Digital health utilization during pregnancy and the likelihood of preterm birth
| العنوان: | Digital health utilization during pregnancy and the likelihood of preterm birth |
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| المؤلفون: | Alison K Brinson, Hannah R Jahnke, Natalie Henrich, Smriti Karwa, Christa Moss, Neel Shah |
| المصدر: | Digital Health, Vol 10 (2024) |
| بيانات النشر: | SAGE Publishing, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics |
| مصطلحات موضوعية: | Computer applications to medicine. Medical informatics, R858-859.7 |
| الوصف: | Objective Given the complex nature of preterm birth, interventions to reduce rates of preterm birth should be multifaceted. This analysis aimed to explore the association between the duration of using Maven, a digital health platform for women's and family health, and the odds of preterm birth. Methods Data came from 3326 pregnant, nulliparous Maven users who enrolled in Maven during their pregnancy between January 2020 and September 2022. Chi-square and Fisher's exact tests compared characteristics between users who developed gestational conditions and users who did not. This retrospective cohort study used logistic regression models to estimate the association between the duration of Maven use and odds of preterm birth, stratified by the presence of gestational conditions. Results Compared to those without gestational conditions, individuals who developed gestational conditions were more likely to have a preterm birth (8.7% vs. 3.4%; p |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2055-2076 20552076 |
| Relation: | https://doaj.org/toc/2055-2076 |
| DOI: | 10.1177/20552076241277037 |
| URL الوصول: | https://doaj.org/article/f6549f39365a4cd9a73b7da49af30eba |
| رقم الانضمام: | edsdoj.f6549f39365a4cd9a73b7da49af30eba |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20552076 |
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| DOI: | 10.1177/20552076241277037 |