Developing an android-based application for early detection of postpartum depression symptoms in Indonesia

Background: Postpartum depression has become a mental health problem in Indonesia. Screening symptoms of postpartum depression as early as one month during the postpartum period is needed. A smartphone application is considered one of the fastest ways for screening. Objective: To develop an android...

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Autores principales:	Irma Nurbaeti, Moch Syafii, Kustati Budi Lestari
Formato:	article
Lenguaje:	EN
Publicado:	Belitung Raya Foundation 2021
Materias:	addie model digital application android postpartum depression smartphone nursing indonesia Nursing RT1-120
Acceso en línea:	https://doaj.org/article/b99014ec5b214e888546b72d88481f4a
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spelling	oai:doaj.org-article:b99014ec5b214e888546b72d88481f4a2021-12-02T15:28:22ZDeveloping an android-based application for early detection of postpartum depression symptoms in Indonesia2477-407310.33546/bnj.1308https://doaj.org/article/b99014ec5b214e888546b72d88481f4a2021-04-01T00:00:00Zhttps://belitungraya.org/BRP/index.php/bnj/article/view/1308https://doaj.org/toc/2477-4073Background: Postpartum depression has become a mental health problem in Indonesia. Screening symptoms of postpartum depression as early as one month during the postpartum period is needed. A smartphone application is considered one of the fastest ways for screening. Objective: To develop an android-based application to early detect the symptoms of postpartum depression and evaluate its effectiveness. Methods: The smartphone application was developed using Analysis, Design, Development, Implementation, and Evaluation (ADDIE) instruction model. The survey design was carried out to evaluate the effectiveness of the application among 109 postpartum mothers selected using convenience sampling. Data were collected from August to October 2019 in South Tangerang, Indonesia. Results: The evaluation showed that the application is mostly positive. The appearance of the application is adequate (92.67%), easy to download (89.90%), understandable (96.33%), easy to fill-in (94.50%), beneficial (96.33%), new (90.83%), and reflecting psychological conditions (90.83%). Conclusion: The symptoms of postpartum depression can be measured by the android-based application. It is therefore recommended to Indonesian mothers use this app to detect postpartum depression symptoms early. This app also helps nurses and midwives to prevent depression among postpartum mothers. Also, the app can be imitated by other developers for non-Indonesian mothers. Funding: This research was funded by Universitas Islam Negeri Syarif Hidayatullah Jakarta under the research grant scheme for collaborative research (Un.01/KPA/511/2019).Irma NurbaetiMoch SyafiiKustati Budi LestariBelitung Raya Foundationarticleaddie modeldigital applicationandroidpostpartum depressionsmartphonenursingindonesiaNursingRT1-120ENBelitung Nursing Journal, Vol 7, Iss 2, Pp 118-124 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	addie model digital application android postpartum depression smartphone nursing indonesia Nursing RT1-120
spellingShingle	addie model digital application android postpartum depression smartphone nursing indonesia Nursing RT1-120 Irma Nurbaeti Moch Syafii Kustati Budi Lestari Developing an android-based application for early detection of postpartum depression symptoms in Indonesia
description	Background: Postpartum depression has become a mental health problem in Indonesia. Screening symptoms of postpartum depression as early as one month during the postpartum period is needed. A smartphone application is considered one of the fastest ways for screening. Objective: To develop an android-based application to early detect the symptoms of postpartum depression and evaluate its effectiveness. Methods: The smartphone application was developed using Analysis, Design, Development, Implementation, and Evaluation (ADDIE) instruction model. The survey design was carried out to evaluate the effectiveness of the application among 109 postpartum mothers selected using convenience sampling. Data were collected from August to October 2019 in South Tangerang, Indonesia. Results: The evaluation showed that the application is mostly positive. The appearance of the application is adequate (92.67%), easy to download (89.90%), understandable (96.33%), easy to fill-in (94.50%), beneficial (96.33%), new (90.83%), and reflecting psychological conditions (90.83%). Conclusion: The symptoms of postpartum depression can be measured by the android-based application. It is therefore recommended to Indonesian mothers use this app to detect postpartum depression symptoms early. This app also helps nurses and midwives to prevent depression among postpartum mothers. Also, the app can be imitated by other developers for non-Indonesian mothers. Funding: This research was funded by Universitas Islam Negeri Syarif Hidayatullah Jakarta under the research grant scheme for collaborative research (Un.01/KPA/511/2019).
format	article
author	Irma Nurbaeti Moch Syafii Kustati Budi Lestari
author_facet	Irma Nurbaeti Moch Syafii Kustati Budi Lestari
author_sort	Irma Nurbaeti
title	Developing an android-based application for early detection of postpartum depression symptoms in Indonesia
title_short	Developing an android-based application for early detection of postpartum depression symptoms in Indonesia
title_full	Developing an android-based application for early detection of postpartum depression symptoms in Indonesia
title_fullStr	Developing an android-based application for early detection of postpartum depression symptoms in Indonesia
title_full_unstemmed	Developing an android-based application for early detection of postpartum depression symptoms in Indonesia
title_sort	developing an android-based application for early detection of postpartum depression symptoms in indonesia
publisher	Belitung Raya Foundation
publishDate	2021
url	https://doaj.org/article/b99014ec5b214e888546b72d88481f4a
work_keys_str_mv	AT irmanurbaeti developinganandroidbasedapplicationforearlydetectionofpostpartumdepressionsymptomsinindonesia AT mochsyafii developinganandroidbasedapplicationforearlydetectionofpostpartumdepressionsymptomsinindonesia AT kustatibudilestari developinganandroidbasedapplicationforearlydetectionofpostpartumdepressionsymptomsinindonesia
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Developing an android-based application for early detection of postpartum depression symptoms in Indonesia

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