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Usability, Acceptability, and Feasibility of Two Technology-Based Devices for Mental Health Screening in Perinatal Care: A Comparison of Web Versus App

  • Verónica Martínez-BorbaEmail author
  • Carlos Suso-Ribera
  • Jorge Osma
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 288)

Abstract

The use of Information and Communication Technologies (web pages and apps) in mental health has boosted. However, it is unknown which of these two devices can be better in terms of feasibility and acceptability. Our aim is to compare the feasibility, usability, and user satisfaction of two devices (web vs mobile application) of an online program for perinatal depression screening called HappyMom. In total, 348 and 175 perinatal women registered into HappyMom web and app version, respectively. The assessment protocol included different biopsychosocial evaluations (twice during pregnancy and thrice in the postpartum) and a satisfaction questionnaire. Results showed that a higher percentage of women in the web sample (27.3–51.1%) responded to each assessment compared to the app sample (9.1–53.1%). A smaller proportion of women in web sample never responded to any assessments. By contrast, the percentage of women who responded to all assessments was higher in app sample (longitudinal retention sample was 4.6% of web users and 9.1% of app users). In general, high satisfaction was found in both web and app users. Our result showed that online assessment methods are feasible and acceptable by perinatal women. However, dropout rates are a real problem that urge a solution that will be discussed further in the paper. Web and App devices present different advantages and limitations. The choice of one of them must be made taking into account the study’s objective, the sample characteristics, and the dissemination possibilities.

Keywords

Information and Communication Technologies Dropouts Satisfaction Assessment Perinatal women 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Verónica Martínez-Borba
    • 1
    Email author
  • Carlos Suso-Ribera
    • 1
  • Jorge Osma
    • 2
    • 3
  1. 1.Universitat Jaume ICastellón de la PlanaSpain
  2. 2.Universidad de ZaragozaTeruelSpain
  3. 3.Instituto de Investigación Sanitaria de AragónZaragozaSpain

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