Evidence map›Paper›PMID 40162164›Full record

ArticleDigital health

Exploring the acceptability, feasibility and utility of a digital tool for self-reporting perinatal anxiety and depression in urban obstetric and paediatric clinics in India.

Shraddha Lotlikar, Prabha Chandra, Geetha Desai, Sonali Mohanty Quantius, Latha Venkataraman, Madhushree Vijayakumar

Abstract read
In one paragraph

Article in Digital health. 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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1citing papers in PubMed
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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.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shraddha LotlikarNational Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.ORCID https://orcid.org/0000-0002-8940-8760
Prabha ChandraNational Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.ORCID https://orcid.org/0000-0003-2902-6389
Geetha DesaiNational Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.ORCID https://orcid.org/0000-0002-6903-1054
Sonali Mohanty QuantiusSwiss Federal Institute of Technology, Zürich, Switzerland.
Latha VenkataramanRangadore Memorial Trust Hospital, Bengaluru, India.ORCID https://orcid.org/0009-0002-7209-976X
Madhushree VijayakumarMotherhood Hospital - Hebbal, Bengaluru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Common mental disorders, such as anxiety and depression, affect 13% to 55% of women during the perinatal period in India. However, high-volume obstetric clinics often lack resources for routine mental health assessment. Digital tools could address this gap by facilitating maternal mental health screening. Aim: This study evaluates the feasibility, acceptability and utilization of digital self-reporting for perinatal anxiety and depression in two urban obstetric and paediatric clinics. Method: A multilingual digital application was developed for self-assessment using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7) and psychosocial risk factors. A total of 234 participants (101 pregnant and 133 postpartum women) completed the assessment, receiving immediate results and personalized recommendations. Follow-up calls 24 h later gathered feedback on feasibility and acceptability. Results: Among the 234 participants, the assessment identified mild anxiety in 15.8%, moderate to severe anxiety in 11.1%, mild depression in 31.6% and moderate to severe depression in 14.1%. Over 83% of women reported at least one psychosocial risk factor, and 10.2% had a history of psychiatric illness. Of 138 participants responding to follow-up, 60.4% preferred digital self-assessment alone for its convenience and non-judgmental nature. In contrast, 22.5% preferred consulting with their obstetrician or a mental health professional. Challenges included application navigation confusion and attempts to modify answers for lower scores, prompting refinements for improved user experience and cultural relevance. Conclusion: Digital self-reporting is a feasible and acceptable approach for early detection of perinatal mental health concerns in high-volume urban clinics. Further testing is needed in rural and diverse healthcare settings to assess its broader applicability.

Indexed as

Digitalmobile applicationobstetricpaediatricperinatal anxietyperinatal depressionself-assessmentself-identificationtechnology

Identifiers

PMID40162164
PMCPMC11951908

What OpenQuestion holds

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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.