Development of Mental Health Screening Applications During the Perinatal Period

Mental health disorders during the perinatal period can have a significant impact on maternal and child well-being, increasing the risk of illness, mortality, and societal burden. This study aims to develop a web-based prototype to screen symptoms of anxiety, depression and suicide risk in perinatal mothers. The research method uses a prototype created using the Expert System Development Cycle (ESDC) methodology, which includes five stages: identification, conceptualization, design, implementation, and testing. The Edinburgh Postnatal Depression Scale (EPDS) was used for symptom measurement. Based on the research results, the resulting “BMoms” web prototype enables self-assessment of mental health, offering educational content to improve mental health literacy. This facilitates early detection of mental health issues, promotes regular check-ups, and raises awareness about maternal mental health. This research has implications in that this innovation provides a scalable solution to improve the accessibility of mental health services and overcome labor constraints in maternal health care.

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Publication Details

Journal
International conference on social science and technology
Published
2024-12-11
DOI
https://doi.org/10.46799/incosst.v2i1.22
Primary Topic
Digital Mental Health Interventions
Type
article
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article

Development of Mental Health Screening Applications During the Perinatal Period

Karningsih Karningsih, Dewi Nirmala Sari, Sri Mulyati
International conference on social science and technology
Digital Mental Health Interventions
article

Development of Mental Health Screening Applications During the Perinatal Period

Karningsih Karningsih, Dewi Nirmala Sari, Sri Mulyati
article en

Abstract

Mental health disorders during the perinatal period can have a significant impact on maternal and child well-being, increasing the risk of illness, mortality, and societal burden. This study aims to develop a web-based prototype to screen symptoms of anxiety, depression and suicide risk in perinatal mothers. The research method uses a prototype created using the Expert System Development Cycle (ESDC) methodology, which includes five stages: identification, conceptualization, design, implementation, and testing. The Edinburgh Postnatal Depression Scale (EPDS) was used for symptom measurement. Based on the research results, the resulting “BMoms” web prototype enables self-assessment of mental health, offering educational content to improve mental health literacy. This facilitates early detection of mental health issues, promotes regular check-ups, and raises awareness about maternal mental health. This research has implications in that this innovation provides a scalable solution to improve the accessibility of mental health services and overcome labor constraints in maternal health care.

International conference on social science and technologyVol. 2(1)
Politeknik Kesehatan Kementerian Kesehatan Jakarta II (ID)
Quality Education
Openalex Percentile: Top 73%
Digital Mental Health Interventions
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