Pregnant women’s attitudes to and experiences with a smartphone-based self-test for prediction of pre-eclampsia: a qualitative descriptive study

Author:

Püschl Ida CatharinaORCID,de Wolff Mie Gaarskjaer,Broberg Lotte,Macklon Nick,Hegaard Hanne Kristine

Abstract

ObjectivesTo explore attitudes to and experiences using a smartphone-based self-test for prediction of pre-eclampsia among pregnant women.DesignA qualitative, descriptive study.SettingAn obstetrical care unit at a university hospital in Denmark.ParticipantsTwenty women who had participated in the Salurate trial, a clinical trial testing the efficacy of a smartphone-based self-test for prediction of pre-eclampsia, were purposefully chosen for the study, using maximum variation sampling.Data collection and analysisData were collected by semistructured, individual, face-to-face interviews conducted from 4 October 2018 to 8 November 2018. Data were transcribed verbatim and analysed by means of thematic analysis.ResultsQualitative thematic analysis resulted in the identification of three main themes: Raising awareness, self-testing has the potential to be an integrated part of pregnancy and trusting in technology. Two subthemes were identified under each main theme.ConclusionsThe smartphone-based self-test for prediction of pre-eclampsia has potential to be integrated into antenatal care, and women found it feasible to use. However, testing affected the participating women psychologically, leading to feelings of worry as well as safety. Therefore, if self-testing is implemented, it is important to take actions to handle adverse psychological side effects, including increasing knowledge on pre-eclampsia and having healthcare professionals ongoingly address the psychological state of women throughout pregnancy. In addition, it is essential to emphasise the importance of subjective bodily sensations during pregnancy, including fetal movements. Further studies on the experience of being labelled low risk versus high risk for pre-eclampsia are warranted since this was not investigated in this trial.

Funder

Morgan Innovation and Technology partly sponsored the Salurate Trial

Publisher

BMJ

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3