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Digital Therapy Versus Traditional Care for Maternal Mental Health: Meta-Analysis of Psychotherapy RCTs

Jurnal Kesehatan Masyarakat · Vol. 21 No. 1 (2025) · hlm. 214–224

DOI
10.15294/kemas.v21i1.14477
ISSN
2355-3596, 1858-1196
Terbit
2025-07-30
Penerbit
Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)
Bahasa
eng

Abstrak

Perinatal mental health issues, particularly depression and anxiety, pose critical challenges to maternal and children’s well-being. It has been reported that psychological distress affects approximately 20.7% of prenatal and 17% of postnatal mothers, attributed to multifaceted emotional, physiological, social, and interpersonal transitions during the perinatal period. Accessibility of digital technologies has increased, prompting innovative approaches to prevention and treatment. This study aims to evaluate the effectiveness of digital psychotherapy interventions compared to traditional care in addressing perinatal mental health outcomes. A comprehensive literature search conducted between September and October 2023 across Scopus, PubMed, and Web of Science databases yielded eleven eligible randomized controlled trials (2017-2023). Meta-analytic findings using Review Manager 5.4 demonstrated significant reductions in anxiety (SMD: -0.41; 95% CI: -0.67 to -0.15; p = 0.002) and depressive symptoms (SMD: -0.41; 95% CI: -0.54 to -0.27; p < 0.00001) through digital interventions compared to traditional care. Future research directions should prioritize developing engaging interventions, possibly incorporating animation and virtual environments, while considering population-specific factors and optimal intervention duration.

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  • Universitas Airlangga
  • Regional Government of Trenggalek
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Mahmudah MahmudahUniversitas Airlangga5
Sri SumarmiUniversitas Airlangga4
Soenarnatalina MelanianiUniversitas Airlangga3
Alfadhila Khairil SinatryaUniversitas Airlangga3
Nur Mufida Wulan SariRegional Government of Trenggalek3
Achmad DzulkifliUniversitas Airlangga3
Achidah Nur SyahdanaAfiliasi tidak diketahui3
Qonita RachmahUniversitas Airlangga2
Luki MundiastutiAfiliasi tidak diketahui2
Nadia RamadhaniUniversitas Airlangga2
Fransiska Sabatini SetiawatiUniversitas Airlangga2
Khairina Fadiah HidayatiUniversitas Airlangga2
Yurike Dhika AdhelaUniversitas Airlangga2
Diah IndrianiAfiliasi tidak diketahui2
Bambang WirjatmadiUniversitas Airlangga2
Hario MegatsariUniversitas Airlangga2
Ulfa Al UlufUniversitas Airlangga2
Maya Fernandya SiahaanUniversitas Airlangga2
Auni RahmatikaUniversitas Airlangga2
Rachmahnia PratiwiUniversitas Airlangga2
Kamila Dwi FebriantiUniversitas Airlangga2
Wilis Cahyaning AyuUniversitas Airlangga2
Yusrita AnidhaUniversitas Airlangga2
Zeni FirginingtyasUniversitas Airlangga1
Zahidatul RizkahUniversitas Airlangga1
Imaniar Mahdiya IzatiUniversitas Airlangga1
Isma Nur AmaliaUniversitas Airlangga1
Dwi Putri Pangesti Suryo AndadariUniversitas Airlangga1
Syahid Kinayung WidyajiUniversitas Airlangga1
Wuri Rizki HandarbenyUniversitas Airlangga1
Anisa NindyasariUniversitas Airlangga1
Dhiflatul Frista AnaniUniversitas Airlangga1
Qurrota A’yun Febrina TriwindiyantiUniversitas Airlangga1
Edy Purwanto TertiusAfiliasi tidak diketahui1
Syafi’atur RosyidahUniversitas Airlangga1
Sakinah RamadhaniUniversitas Airlangga1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/kemas/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Digital Therapy Versus Traditional Care for Maternal Mental Health: Meta-Analysis of Psychotherapy RCTs</dc:title>
	<dc:creator xml:lang="en">Audina, Angelina</dc:creator>
	<dc:creator xml:lang="en">Trias Mahmudiono</dc:creator>
	<dc:creator xml:lang="en">Siti Rahayu Nadhiroh</dc:creator>
	<dc:creator xml:lang="en">Emyr Reisha  Isaura</dc:creator>
	<dc:subject xml:lang="en">Anxiety</dc:subject>
	<dc:subject xml:lang="en">Depression</dc:subject>
	<dc:subject xml:lang="en">Digital Psychotherapy</dc:subject>
	<dc:subject xml:lang="en">Perinatal Mental Health</dc:subject>
	<dc:subject xml:lang="en">Traditional Care</dc:subject>
	<dc:description xml:lang="en">Perinatal mental health issues, particularly depression and anxiety, pose critical challenges to maternal and children’s well-being. It has been reported that psychological distress affects approximately 20.7% of prenatal and 17% of postnatal mothers, attributed to multifaceted emotional, physiological, social, and interpersonal transitions during the perinatal period. Accessibility of digital technologies has increased, prompting innovative approaches to prevention and treatment. This study aims to evaluate the effectiveness of digital psychotherapy interventions compared to traditional care in addressing perinatal mental health outcomes. A comprehensive literature search conducted between September and October 2023 across Scopus, PubMed, and Web of Science databases yielded eleven eligible randomized controlled trials (2017-2023). Meta-analytic findings using Review Manager 5.4 demonstrated significant reductions in anxiety (SMD: -0.41; 95% CI: -0.67 to -0.15; p = 0.002) and depressive symptoms (SMD: -0.41; 95% CI: -0.54 to -0.27; p &amp;lt; 0.00001) through digital interventions compared to traditional care. Future research directions should prioritize developing engaging interventions, possibly incorporating animation and virtual environments, while considering population-specific factors and optimal intervention duration.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)</dc:publisher>
	<dc:date>2025-07-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/kemas/article/view/14477</dc:identifier>
	<dc:identifier>10.15294/kemas.v21i1.14477</dc:identifier>
	<dc:source xml:lang="en">Jurnal Kesehatan Masyarakat; Vol. 21 No. 1 (2025); 214-224</dc:source>
	<dc:source>2355-3596</dc:source>
	<dc:source>1858-1196</dc:source>
	<dc:source>10.15294/kemas.v21i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/kemas/article/view/14477/6105</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Jurnal Kesehatan Masyarakat</dc:rights>
</oai_dc:dc>