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Maternal depression

Technology enabled self screening in real time

Bibliographic Data

ID15217719
AuthorsSheenu Jhawar (0000-0002-8985-4648, Apex Hospitals P L, Jaipur, India, corresponding author), Shiv Dutt Gupta (0000-0002-8641-3724, IIHMR University, Jaipur, India), Arindam Das (0000-0001-8290-318X, IIHMR University, Jaipur, India)
Year2022
Volume43
Issue12
Pages1449-1463
Publication date2022-02-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Care For Women International (JOURNAL)
Journal identifiersISSN: 0739-9332 • E-ISSN: 1096-4665
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07399332.2022.2037603
PMID35195501
OpenAlexW4213037996
LanguageEN
Citations received1
References cited50

The first step toward providing treatment, is getting the right diagnosis in real time; before it is too late. Without this, resource deployment may appear to be comparable to the scale and scope of the problem, while in reality it may just be a drop in the ocean. Maternal depression, during pregnancy is a debilitating risk to both the mother and the child, but the bigger problem is, it goes unnoticed, undetected, and therefore untreated. If mobile technology can be deployed to screen for depression in real time by the pregnant mother herself, it will go miles in creating a HOPE for health

Computer security · Depression (economics · Economics · Internet privacy · Medical emergency · Pregnancy · Psychiatry · Resource (disambiguation · Scope (computer science · Software deployment · Attachment and Relationship Dynamics · Child and Adolescent Psychosocial and Emotional Development · Computer Science · Maternal Mental Health During Pregnancy and Postpartum · Medicine · Psychology

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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