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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2014
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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 |
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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 |