Smart Diagnosing System Design To Accelerating Early Detection Of Postpartum Blues
Dublin Core
Title
Smart Diagnosing System Design To Accelerating Early Detection Of Postpartum Blues
Subject
blues, early detection, mother, postpartum, smart diagnosing system
Description
Background: Untreated mothers with postpartum blues are at
greater risk of severe mental health disorders. At the same time,
early detection tools are manually provided and paper-based,
and they cannot offer accessible access to center-compiled data
despite their lack of priority in mental health services.
Methods: Using a mixed-methods study design, the researcher
used semi-structured interviews, while the quantitative
approach was conducted using demographic questionnaires
and a survey resulting from the interviews. A total of 16
participants were chosen for the qualitative study, and 60
respondents participated in the quantitative study. The sample
for the study was screened by using the Edinburgh Postnatal
Depression Scale (EPDS) within the area of Sibela Healthcare
Center in Surakarta. Data collection used instrument tests and
observation sheets and was analyzed by the Chi-Square
statistical test.
Results: Quantitative data analyses identified a relationship
between age and the incidence of postpartum blues in mothers
(p-value of 0.004; OR 0.053). This study showed that mothers
aged < 21 and > 35 years old have a 0.067 times higher
development of postpartum blues than mothers aged 21-35.
Conclusion: Both qualitative and quantitative data suggest that
postpartum mothers need support from husbands in overcoming the blues. Mothers and husbands need a comprehensive digital mobile phone service that involves professional health workers, health service providers, and referral systems.
greater risk of severe mental health disorders. At the same time,
early detection tools are manually provided and paper-based,
and they cannot offer accessible access to center-compiled data
despite their lack of priority in mental health services.
Methods: Using a mixed-methods study design, the researcher
used semi-structured interviews, while the quantitative
approach was conducted using demographic questionnaires
and a survey resulting from the interviews. A total of 16
participants were chosen for the qualitative study, and 60
respondents participated in the quantitative study. The sample
for the study was screened by using the Edinburgh Postnatal
Depression Scale (EPDS) within the area of Sibela Healthcare
Center in Surakarta. Data collection used instrument tests and
observation sheets and was analyzed by the Chi-Square
statistical test.
Results: Quantitative data analyses identified a relationship
between age and the incidence of postpartum blues in mothers
(p-value of 0.004; OR 0.053). This study showed that mothers
aged < 21 and > 35 years old have a 0.067 times higher
development of postpartum blues than mothers aged 21-35.
Conclusion: Both qualitative and quantitative data suggest that
postpartum mothers need support from husbands in overcoming the blues. Mothers and husbands need a comprehensive digital mobile phone service that involves professional health workers, health service providers, and referral systems.
Creator
Intan Maharani Sulistyawati Batubara, Mellia Silvy Irdianty, Dias Aziz Pramudita
Source
https://doi.org/10.37341/jkg.v0i0.596
Publisher
Poltekkes Surakarta
Date
December 2022
Contributor
Sri Wahyuni
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Intan Maharani Sulistyawati Batubara, Mellia Silvy Irdianty, Dias Aziz Pramudita, “Smart Diagnosing System Design To Accelerating Early Detection Of Postpartum Blues,” Repository Horizon University Indonesia, accessed February 21, 2026, https://repository.horizon.ac.id/items/show/10856.