Wallwiener Stephanie, Müller Mitho, Doster Anne, Laserer Wolfgang, Reck Corinna, Pauluschke-Fröhlich Jan, Brucker Sara Y, Wallwiener Christian W, Wallwiener Markus
Department of Obstetrics and Gynecology, University of Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
Department of Psychology, Ludwig Maximilian University, Leopoldstr. 13, 80802, Munich, Germany.
Arch Gynecol Obstet. 2016 Nov;294(5):937-944. doi: 10.1007/s00404-016-4093-y. Epub 2016 Apr 15.
To analyze the current proportions and characteristics of women using Internet (eHealth) and smartphone (mHealth) based sources of information during pregnancy and to investigate the influence, this information-seeking behavior has on decision-making.
A cross-sectional study was conducted at two major German university hospitals. Questionnaires covering socio-demographic data, medical data and details of Internet, and smartphone application use were administered to 220 pregnant women. Data analysis utilized descriptive statistics and multiple regression analysis.
50.7 % of pregnant women were online information seekers. 22.4 % used an mHealth pregnancy application. Women using eHealth information showed no specific profile, while women using mHealth applications proved to be younger, were more likely to be in their first pregnancy, felt less healthy, and were more likely to be influenced by the retrieved information. Stepwise backward regression analysis explained 25.8 % of the variance of mHealth use. 80.5 % of cases were classified correctly by the identified predictors. All types of Web-based information correlated significantly with decision-making during pregnancy.
Pregnant women frequently use the Internet and smartphone applications as a source of information. While Web usage was a common phenomenon, this study revealed specific characteristics of mHealth users during pregnancy. Improved, medically accurate smartphone applications might provide a way to specifically target the mHealth user group. As user influenceability was of major relevance to all types of information, all medical content should be carefully reviewed by a multidisciplinary board of medical specialists.
分析孕期使用互联网（电子健康）和智能手机（移动健康）信息来源的女性的当前比例及特征，并调查这种信息寻求行为对决策的影响。
在德国两家主要的大学医院进行了一项横断面研究。向220名孕妇发放了涵盖社会人口统计学数据、医疗数据以及互联网和智能手机应用使用细节的问卷。数据分析采用描述性统计和多元回归分析。
50.7%的孕妇是在线信息寻求者。22.4%的人使用移动健康孕期应用程序。使用电子健康信息的女性没有特定特征，而使用移动健康应用程序的女性更年轻，更有可能是首次怀孕，感觉健康状况较差，并且更有可能受到检索到的信息的影响。逐步向后回归分析解释了移动健康使用差异的25.8%。80.5%的病例通过确定的预测因素被正确分类。所有类型的基于网络的信息都与孕期决策显著相关。
孕妇经常使用互联网和智能手机应用程序作为信息来源。虽然网络使用是一种常见现象，但本研究揭示了孕期移动健康用户的特定特征。改进的、医学上准确的智能手机应用程序可能提供一种专门针对移动健康用户群体的方法。由于用户的易受影响性与所有类型的信息都密切相关，所有医疗内容都应由多学科医学专家委员会仔细审查。
