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...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-06-01
|
Series: | International Journal of Environmental Research and Public Health |
Subjects: | |
Online Access: | http://www.mdpi.com/1660-4601/11/6/6494 |
id |
doaj-eb936dbd76454e52833ea3a8d3e56229 |
---|---|
record_format |
Article |
spelling |
doaj-eb936dbd76454e52833ea3a8d3e562292020-11-24T21:40:57ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012014-06-011166494650310.3390/ijerph110606494ijerph110606494Mobile Health in Maternal and Newborn Care: Fuzzy LogicShahirose Premji0Faculty of Nursing, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, CanadaWhether 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.http://www.mdpi.com/1660-4601/11/6/6494mobile phonesinterpersonal relationshipssocial influencemother-infant interactionunintended harm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shahirose Premji |
spellingShingle |
Shahirose Premji Mobile Health in Maternal and Newborn Care: Fuzzy Logic International Journal of Environmental Research and Public Health mobile phones interpersonal relationships social influence mother-infant interaction unintended harm |
author_facet |
Shahirose Premji |
author_sort |
Shahirose Premji |
title |
Mobile Health in Maternal and Newborn Care: Fuzzy Logic |
title_short |
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_sort |
mobile health in maternal and newborn care: fuzzy logic |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2014-06-01 |
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. |
topic |
mobile phones interpersonal relationships social influence mother-infant interaction unintended harm |
url |
http://www.mdpi.com/1660-4601/11/6/6494 |
work_keys_str_mv |
AT shahirosepremji mobilehealthinmaternalandnewborncarefuzzylogic |
_version_ |
1725923879052902400 |