Evidence map›Paper›PMID 40529462›Full record

ArticleInternational journal of nursing sciences2025

A framework for developing spouse-inclusive digital applications in preventing perinatal depression and anxiety.

Siti Roshaidai Arifin, Amalia Kamaruddin, Noor Azimah Muhammad, Mohd Said Nurumal, Hazwani Mohd Mohadis, Nik Hazlina Nik Hussain, Shanti Wardaningsih

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Article in International journal of nursing sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Siti Roshaidai ArifinKulliyyah of Nursing, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.
Amalia KamaruddinColumbia Asia Hospital Tebrau, Johor Bahru, Johor Darul Takzim, Malaysia.
Noor Azimah MuhammadFaculty of Medicine, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Mohd Said NurumalKulliyyah of Nursing, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.
Hazwani Mohd MohadisKulliyyah of Information and Communication Technology, International Islamic University Malaysia, Gombak, Kuala Lumpur, Malaysia.
Nik Hazlina Nik HussainSchool of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Shanti WardaningsihUniversitas Muhammadiyah Yogyakarta, Kasihan, Bantul, Yogyakarta, Republic of Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Digital approaches have proven effective in alleviating symptoms of perinatal depression and anxiety. However, current online applications for perinatal mental health often exclude the role of spouses in the intervention. This study aimed to develop a spouse-inclusive framework for digital self-management of perinatal depression and anxiety based on the women, spouses, and experts' viewpoints. Methods: The spouse-inclusive framework was developed through two phases of study. In phase I, using a generic qualitative research design, in-depth interviews were conducted with 20 perinatal women (with symptoms of depression and anxiety) and 15 men (spouses) in the obstetrics and gynecology clinics in Sultan Ahmad Shah Medical Centre and Hospital Canselor Tuanku Muhriz. Findings from phase I were used to develop the spouse-inclusive framework, guided by the Digital Self-Care Framework by the WHO and existing literature review. In phase II, two rounds of expert reviews were conducted: the first round involved Content Validity Index (CVI) validation, and the second round consisted of focus-group discussion (FGD) sessions to refine the proposed framework. Results: We proposed a framework known as i-PartnerPulse, which included three main sections: functions (participants' profile, activity planning & reminder, goal setting & reward system, success stories), aimed at enhancing user motivation during app usage; contents (assessment, intervention, and further action), aimed to educate both parties on the spouse's role, psychoeducation, and essential skills; approaches (good user experience, interactive user interface, sharing session, stress busters), aimed to engage users consistently. A total of 10 experts in psychology, healthcare, and technology validated the framework with an average CVI of 0.88, indicating the validity of the framework. Conclusion: The findings suggest that a spouse-inclusive framework can be effectively used to develop self-care applications for perinatal depression and anxiety. Researchers, academics, and software developers can utilize this framework to create comprehensive interventions aimed at empowering patients and addressing the risks of depression and anxiety during the perinatal period.

Indexed as

AnxietyDepressionDigital technologyMobile applicationPerinatalSpouseWomen

Identifiers

PMID40529462
PMCPMC12168459

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.