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Time to pregnancy recognition among users of an FDA-cleared fertility application.
van Lamsweerde, Agathe; Pearson, Jack T; Urrutia, Rachel; Gemzell-Danielsson, Kristina; Kopp Kallner, Helena; Nelson, Anita; Benhar, Eleonora; Favaro, Carlotta; Berglund Scherwitzl, Elina; Scherwitzl, Raoul.
Afiliação
  • van Lamsweerde A; Natural Cycles Nordic AB, Stockholm, Sweden.
  • Pearson JT; Natural Cycles Nordic AB, Stockholm, Sweden.
  • Urrutia R; Department of Obstetrics and Gynaecology, UNC-Chapel Hill, NC, USA.
  • Gemzell-Danielsson K; Department of Women's and Children's Health, Division for Neonatology,Obstetrics and Gynecology and Reproductive Health, Karolinska Institutet, and Karolinska University Hospital, Stockholm, Sweden.
  • Kopp Kallner H; Department of Clinical Sciences at Danderyd Hospital, Karolinska Institutet, Sweden and Department of Obstetrics and Gynecology, Danderyd Hospital, Stockholm, Sweden.
  • Nelson A; Western University of Health Sciences, Pomona, CA, USA.
  • Benhar E; Natural Cycles Nordic AB, Stockholm, Sweden.
  • Favaro C; Natural Cycles Nordic AB, Stockholm, Sweden.
  • Berglund Scherwitzl E; Natural Cycles Nordic AB, Stockholm, Sweden.
  • Scherwitzl R; Natural Cycles Nordic AB, Stockholm, Sweden.
J Obstet Gynaecol ; 44(1): 2337687, 2024 Dec.
Article em En | MEDLINE | ID: mdl-38630958
ABSTRACT

Background:

Previous investigations of time-to-pregnancy recognition have analysed data from national surveys and clinics, but this has not been investigated in the context of digital fertility applications. Timely pregnancy recognition can help individuals in health and pregnancy management, reducing maternal and foetal risk and costs, whilst increasing treatment options, availability, and cost.

Methods:

This dataset contained 23,728 pregnancies (conceived between June 2018 and December 2022) from 20,429 participants using a Food and Drug Administration (FDA) cleared fertility app in the United States. Most participants (with non-missing information) identified as Non-Hispanic White, and one-third reported obtaining a university degree. We used two-tailed Welch's t-test, Mann-Whitney U-test, and two-tailed Z-tests to compare time to pregnancy recognition between those using the app to conceive or contracept.

Results:

Participants using an app to conceive recognised pregnancy on average at 31.3 days from last menstrual period (LMP) compared to 35.9 days among those using the app to prevent pregnancy.

Conclusion:

Generalisability is limited, as all participants were using a fertility app and had relatively homogenous sociodemographic characteristics.
People who recognise pregnancy early may benefit, as earlier recognition can reduce costs and risks, and make more treatment options available. In the past, researchers have studied the time it takes for an individual to recognise that they are pregnant by asking them in national surveys or when they attend a clinic. However, with the advent of digital fertility tracking apps, we investigated the time it takes to recognise pregnancy when using such an app. We analysed data from 23,728 pregnancies from 20,429 users of the Natural Cycles app between June 2018 and December 2022. We found that participants using the app to try to get pregnant recognised pregnancy an average of 4.6 days earlier than those using the app to prevent pregnancy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fertilidade / Tempo para Engravidar Limite: Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: J Obstet Gynaecol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fertilidade / Tempo para Engravidar Limite: Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: J Obstet Gynaecol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia