Design of Information System to Detect Antenatal Depression

Alfiyana Yuliasari, Artha Prabawa

Research output: Contribution to journalConference articlepeer-review

Abstract

Depression is a major cause of disease burden worldwide in women of childbearing age and 5-10% of all pregnant women experience antenatal depression. depression in pregnancy is associated with the incidence of stillbirth, premature, low birth weight, asphyxia, and congenital abnormalities in newborns. Although antenatal depression has a very detrimental effect, anxiety and depression during pregnancy are still less detected so that the treatment has not been maximized. The aim of this study is to develop model of antenatal depression detection system. This research will design an information system on detection of antenatal depression based on Android mobile using prototyping method. The needs analysis of this information systems is carried out by interviews, observations, and literature studies aimed at producing an effective and efficient system. Antenatal depression detection test uses the Edinburgh Postnatal Depression Scale (EPDS) questionnaire consisting of 10 questions. The results of this study is the form of antenatal depression detection information system design in android and web based.

Original languageEnglish
Article number012014
JournalIOP Conference Series: Materials Science and Engineering
Volume874
Issue number1
DOIs
Publication statusPublished - 1 Jul 2020
Event2019 International Conference on Engineering, Technologies, and Applied Sciences, ICETsAS 2019 - Bengkulu, Indonesia
Duration: 17 Oct 201918 Oct 2019

Keywords

  • antenatal depression
  • information system
  • pregnancy

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