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Mobile Health in Maternal and Newborn Care

Fuzzy Logic

Bibliographic Data

ID15499765
AuthorsShahirose Premji (0000-0003-0323-8009, University of Calgary, corresponding author)
Year2014
Volume11
Issue6
Pages6494-6503
Publication date2014-06-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph110606494
PMID25003177
OpenAlexW2140245558
LanguageEN
References cited36

Whether mHealth improves maternal and newborn health outcomes remains uncertain as the response is perhaps not true or false but lies somewhere in between when considering unintended harmful consequences. Fuzzy logic, a mathematical approach to computing, extends the traditional binary “true or false” (one or zero) to exemplify this notion of partial truths that lies between completely true and false. The commentary explores health, socio-ecological and environmental consequences–positive, neutral or negative. Of particular significance is the negative influence of mHealth on maternal care-behaviors, which can increase stress reactivity and vulnerability to stress-induced illness across the lifespan of the child and establish pathways for intergenerational transmission of behaviors. A mHealth “fingerprinting” approach is essential to monitor psychosocial, economic, cultural, environmental and physical impact of mHealth intervention and make evidence-informed decision(s) about use of mHealth in maternal and newborn care

Computer security · Developmental psychology · Fuzzy logic · Health care · Intervention (counseling · mHealth · Political science · Psychiatry · Psychological intervention · Psychosocial · Vulnerability (computing · Breastfeeding Practices and Influences · Computer Science · Maternal Mental Health During Pregnancy and Postpartum · Mobile Health and mHealth Applications · Psychology · Social Psychology · Artificial Intelligence

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Citation velocityhistorical
Highly citedNo

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