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dc.contributor.authorBlair, Dawn-Li
dc.contributor.authorMorgan, Heather
dc.contributor.authorMcLernon, David J
dc.date.accessioned2021-07-09T14:10:01Z
dc.date.available2021-07-09T14:10:01Z
dc.date.issued2021
dc.identifier.citationBlair , D-L , Morgan , H & McLernon , D J 2021 , ' Women’s perspectives on smartphone apps for fertility tracking and predicting conception : a mixed methods study ' , European Journal of Contraception & Reproductive Health Care , vol. 26 , no. 2 , pp. 119-127 . https://doi.org/10.1080/13625187.2021.1874336en
dc.identifier.issn1362-5187
dc.identifier.otherPURE: 185482392
dc.identifier.otherPURE UUID: 3984e6b1-57ae-4fe0-94d1-458c6b04e499
dc.identifier.otherScopus: 85100837668
dc.identifier.otherWOS: 000617604000001
dc.identifier.otherPubMed: 33576699
dc.identifier.otherJisc: a9deb28a2c004433859ee442b7ee0f7d
dc.identifier.otherORCID: /0000-0001-8905-2429/work/95222787
dc.identifier.otherORCID: /0000-0002-6118-8911/work/95223226
dc.identifier.urihttps://hdl.handle.net/2164/16801
dc.descriptionAcknowledgement We would like to thank all our survey respondents and interview participants, without whom this research would not have been possible. Additionally, we would like to thank the Clearblue team at SPD Development Company Ltd., for their assistance and support with volunteer recruitment and assistance with implementation of the research. Funding This work was conducted as an MPH research project at the University of Aberdeen. SPD Development Company Ltd. (Clearblue) provided pregnancy and ovulation tests as rewards for participants who completed interviews.en
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofEuropean Journal of Contraception & Reproductive Health Careen
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.en
dc.subjectDigital Health Apps Fertility Mixed Methods Conception Predictionen
dc.subjectPharmacology (medical)en
dc.subjectObstetrics and Gynaecologyen
dc.subjectReproductive Medicineen
dc.subjectR Medicineen
dc.subjectPharmacology (medical)en
dc.subjectObstetrics and Gynaecologyen
dc.subjectReproductive Medicineen
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titleWomen’s perspectives on smartphone apps for fertility tracking and predicting conception : a mixed methods studyen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Clinical Medicineen
dc.contributor.institutionUniversity of Aberdeen.Public Health, Health Services and Primary Careen
dc.contributor.institutionUniversity of Aberdeen.Data Safe Havenen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1080/13625187.2021.1874336
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85100837668&partnerID=8YFLogxKen


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