Cargando…

Mobile Health in Maternal and Newborn Care: Fuzzy Logic

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 fals...

Descripción completa

Detalles Bibliográficos
Autor principal: Premji, Shahirose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4078591/
https://www.ncbi.nlm.nih.gov/pubmed/25003177
http://dx.doi.org/10.3390/ijerph110606494
_version_ 1782323762713067520
author Premji, Shahirose
author_facet Premji, Shahirose
author_sort Premji, Shahirose
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4078591
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-40785912014-07-02 Mobile Health in Maternal and Newborn Care: Fuzzy Logic Premji, Shahirose Int J Environ Res Public Health Commentary 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. MDPI 2014-06-20 2014-06 /pmc/articles/PMC4078591/ /pubmed/25003177 http://dx.doi.org/10.3390/ijerph110606494 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Commentary
Premji, Shahirose
Mobile Health in Maternal and Newborn Care: Fuzzy Logic
title Mobile Health in Maternal and Newborn Care: Fuzzy Logic
title_full Mobile Health in Maternal and Newborn Care: Fuzzy Logic
title_fullStr Mobile Health in Maternal and Newborn Care: Fuzzy Logic
title_full_unstemmed Mobile Health in Maternal and Newborn Care: Fuzzy Logic
title_short Mobile Health in Maternal and Newborn Care: Fuzzy Logic
title_sort mobile health in maternal and newborn care: fuzzy logic
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4078591/
https://www.ncbi.nlm.nih.gov/pubmed/25003177
http://dx.doi.org/10.3390/ijerph110606494
work_keys_str_mv AT premjishahirose mobilehealthinmaternalandnewborncarefuzzylogic