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  • Iwaya, Leonardo HKarlstads universitet,Institutionen för matematik och datavetenskap (from 2013),Karlstad University,Karlstad Univ, Fac Hlth Sci & Technol, Dept Math & Comp Sci, Karlstad, Sweden.;Karlstad Univ, Dept Math & Comp Sci, S-65188 Karlstad, Sweden. (author)

Early Labour App: Developing a practice-based mobile health application for digital early labour support

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • Elsevier,2023
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:ltu-99489
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-99489URI
  • https://doi.org/10.1016/j.ijmedinf.2023.105139DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-96158URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:du-46427URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-508848URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Validerad;2023;Nivå 2;2023-08-11 (hanlid)
  • Background: Pregnant women in early labour have felt excluded from professional care, and their partners have been restricted from being involved in the birthing process. Expectant parents must be better prepared to deal with fear and stress during early labour. There is a need for evidence-based information and digital applications that can empower couples during childbirth.Objective: To develop and identify requirements for a practice-based mobile health (mHealth) application for Digital Early Labour Support.Methods: This research started with creating an expert group composed of a multidisciplinary team capable of informing the app development process on evidence-based practices. In consultation with the expert group, the app was built using an agile development approach (i.e., Scrum) within a continuous software engineering setting (i.e., CI/CD, DevOps), also including user and security tests.Results: During the development of the Early Labour App, two main types of challenges emerged: (1) user challenges, related to understanding the users’ needs and experience with the app, and (2) team challenges, related to the software development team in particular, and the necessary skills for translating an early labour intervention into a digital solution. This study reaffirms the importance of midwife support via blended care and the opportunity of complementing it with an app. The Early Labour App was easy to use, the women needed little to no help, and the partner's preparation was facilitated. The combination of the app together with blended care opens up awareness, thoughts and feelings about the method and provides good preparation for the birth.Conclusion: We propose the creation of the Early Labour App, a mHealth app for early labour support. The preliminary tests conducted for the Early Labour App show that the app is mature, allowing it to be used in the project's Randomised Control Trial, which is already ongoing.

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  • Nordin, Anna,1972-Karlstads universitet,Luleå tekniska universitet,Omvårdnad och medicinsk teknik,Department of Health Science, Faculty of Health, Science, and Technology, Karlstad University, Sweden,Institutionen för hälsovetenskaper (from 2013),Avdelningen för omvårdnad,Karlstad University; Luleå University of Technology,Karlstad Univ, Fac Hlth Sci & Technol, Dept Hlth Sci, Karlstad, Sweden.;Luleå Univ Technol, Dept Hlth Educ & Technol, Div Nursing & Med Technol, Luleå, Sweden.(Swepub:kau)annordin (author)
  • Fritsch, LotharDepartment of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway,Oslo Metropolitan Univ, Fac Technol Art & Design, Dept Comp Sci, Oslo, Norway. (author)
  • Børøsund, ElinDepartment of Digital Health Research, Division of Medicine, Oslo University Hospital, Norway; Department of Nursing and Health Sciences, Faculty of Health and Social Sciences, University of South-Eastern Norway, Drammen, Norway,Oslo Univ Hosp, Dept Digital Hlth Res, Div Med, Oslo, Norway.;Univ South Eastern Norway, Fac Hlth & Social Sci, Dept Nursing & Hlth Sci, Drammen, Norway. (author)
  • Johansson, MargaretaUppsala universitet,Obstetrisk och reproduktiv hälsoforskning(Swepub:uu)marjo742 (author)
  • Varsi, CecilieDepartment of Digital Health Research, Division of Medicine, Oslo University Hospital, Norway; Faculty of Health and Social Sciences, University of South-Eastern Norway, Drammen, Norway,Oslo Univ Hosp, Dept Digital Hlth Res, Div Med, Oslo, Norway.;Univ South Eastern Norway, Fac Hlth & Social Sci, Drammen, Norway. (author)
  • Ängeby, KarinHögskolan Dalarna,Omvårdnad,Region Värmland, Karlstad,Reg Varmland, Ctr Clin Res & Educ, Karlstad, Sweden.;Dalarna Univ, Sch Educ Hlth & Social Studies, Falun, Sweden.(Swepub:du)kag (author)
  • Karlstads universitetInstitutionen för matematik och datavetenskap (from 2013) (creator_code:org_t)

Related titles

  • In:International Journal of Medical Informatics: Elsevier1771386-50561872-8243

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