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Mobile Health in Maternal and Newborn Care: Fuzzy Logic

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  • Shahirose Premji

    (Faculty of Nursing, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada
    Faculty of Medicine, Department of Community Health Sciences, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada)

Abstract

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.

Suggested Citation

  • Shahirose Premji, 2014. "Mobile Health in Maternal and Newborn Care: Fuzzy Logic," IJERPH, MDPI, vol. 11(6), pages 1-10, June.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:6:p:6494-6503:d:37324
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    References listed on IDEAS

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    1. L. Allen-Scott & J. Hatfield & L. McIntyre, 2014. "A scoping review of unintended harm associated with public health interventions: towards a typology and an understanding of underlying factors," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(1), pages 3-14, February.
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