mHealth Apps and Services for Maternal Healthcare in Developing Countries

Iyawa, Gloria Ejehiohen; Hamunyela, Suama

doi:10.23919/istafrica.2019.8764878

Cited by 13 publications

(8 citation statements)

References 35 publications

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“…João Luis Zeni Montenegro introduces a Multifaceted Model of Natural Language Generation for women in a postpartum [38]. A research has been conducted to provide some guidelines and strategies for implementing mHealth apps and services to support maternal healthcare in developing countries [39].…”

Section: Literature Reviewmentioning

confidence: 99%

A novel solution for finding postpartum haemorrhage using fuzzy neural techniques

Kumar

Sharmila

Kumar

et al. 2021

Neural Comput & Applic

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Postpartum Haemorrhage (PPH) is the loss of blood above 500 ml during vaginal or caesarean deliveries. It is difficult to find a PPH in an earlier stage, so pregnant women are exposed to excess blood loss that make them suffer and die. Antenatal practices help in identifying risk factors, and modern technology is used to overcome the risk. Still, the morbidity rate and the mortality arise due to the unpredicted and unexpected cause. PPH is still a significant cause of maternal morbidity and mortality worldwide. The novelty of this research work is to alert medical practitioner about excessive bleeding of pregnant women during childbirth. We are proposing an automation system using wearable devices to prevent pregnant women from the PPH. These devices measure parameters like temperature, pulse rate, blood pressure, and sweat rate of pregnant women. Fuzzy Neural technique based rules are used for each parameter to predict the risk in developing PPH and to evaluate the performance of proposed system for reducing mortality and morbidity rates. Our findings of experiment is carried on metrics of HPPH (High Level Postpartum Haemorrhage), NPPH (Normal Level Postpartum Haemorrhage), MPPH (Medium Level Postpartum Haemorrhage) for 15 patients. Fuzzy output value of 1 indicates patient state with NPPH, 0 indicates patient state with HPPH and values in between 0 to 1 indicate MPPH. Based on the sensitivity of the predicted values, medical attention is taken from doctors or nurses in nearby locations using Internet of Things infrastructure.

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Section: Literature Reviewmentioning

confidence: 99%

A novel solution for finding postpartum haemorrhage using fuzzy neural techniques

Kumar

Sharmila

Kumar

et al. 2021

Neural Comput & Applic

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“…Digital health is supporting women and healthcare staff in LMICs to enhance maternal health [62]. Digital health has increased access to information and services through videos and text messages, promoting health education and enabling women to share experiences, receive reminders and support [12,28,68,69,133].…”

Section: Digital Maternal Health In the Global Southmentioning

confidence: 99%

Indigenous Women Managing Pregnancy Complications in Rural Ecuador

Verdezoto

Carpio-Arias²,

Carpio-Arias

et al. 2020

Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society

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Previous research has explored the potential use of digital health to support maternal health in the Global South highlighting the importance of understanding the socio-cultural context to inform system design. However, the experiences of indigenous women managing pregnancy complications in Latin America remain underexplored in HCI. We present a qualitative study with 25 indigenous pregnant women in an Ecuadorian rural community looking at their experiences during complications, their antenatal care visits and their access and use of technologies. Our findings highlight key barriers that hinder the use of antenatal care services and influence women's experiences managing complications. Based on the findings, we present opportunities for digital health centered on indigenous women to enhance antenatal care in rural Ecuador.

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“…This means that text messaging is available to populations with a basic phone that can be adopted by a large number of people. However, Iyawa and Hamunyela (2019) suggest that text messaging intervention may be a simple approach; however, language barriers could greatly hamper the effective use in healthcare. Iyawa and Hamunyela (2019) suggested voice-based systems incorporating local languages to support people in rural communities.…”

Section: Digitalization: Case Study Of Africamentioning

confidence: 99%

“…However, Iyawa and Hamunyela (2019) suggest that text messaging intervention may be a simple approach; however, language barriers could greatly hamper the effective use in healthcare. Iyawa and Hamunyela (2019) suggested voice-based systems incorporating local languages to support people in rural communities. Based on a study conducted by Adanikin et al (2014), a text messaging approach was adopted as part of an intervention to improve appointment attendance of postpartum women.…”

Section: Digitalization: Case Study Of Africamentioning

confidence: 99%