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Reseach Article

A Smart Phone based Application for Early Detection of Pregnancy Complications in Kenya

by John Mbithi, Joseph Onderi Orero
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 10
Year of Publication: 2016
Authors: John Mbithi, Joseph Onderi Orero
10.5120/ijca2016911190

John Mbithi, Joseph Onderi Orero . A Smart Phone based Application for Early Detection of Pregnancy Complications in Kenya. International Journal of Computer Applications. 147, 10 ( Aug 2016), 8-14. DOI=10.5120/ijca2016911190

@article{ 10.5120/ijca2016911190,
author = { John Mbithi, Joseph Onderi Orero },
title = { A Smart Phone based Application for Early Detection of Pregnancy Complications in Kenya },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 10 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 8-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number10/25687-2016911190/ },
doi = { 10.5120/ijca2016911190 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:31.966340+05:30
%A John Mbithi
%A Joseph Onderi Orero
%T A Smart Phone based Application for Early Detection of Pregnancy Complications in Kenya
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 10
%P 8-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Lack of adequate information and timely response to pregnancy complications during prenatal care is a major cause of maternal mortality in Kenya. More women are dying from pregnancy and childbirth related causes such as pre-eclampsia, obstructed labor, infections, hemorrhage and high blood pressure. The purpose of this study was to develop an expert system incorporated on a mobile phone to detect pregnancy complications before birth. The system used rule based system to determine whether a mother has maternal risks and recommends prenatal care advice based on the condition of the expectant mother.

References
  1. Ambert, A. M. Adler, A.P., Adler, P. & Detzner, D.F. (1995). Understanding and evaluating qualitative research Journal of marriage and the family, Vol. 57, 879-893.
  2. Angelidis, P. (2008). Mobile Telemonitoring Insights. Medical informatics: Concepts, methodologies, tools, and applications, 1, 107–112.
  3. Atun, R. A., & Sittampalam, S. R. (2005). Uses and benefits of SMS in healthcare delivery.RetrievedOctober22,2008,from http://www3.imperial.ac.uk/portal/pls/portallive/docs/1/5375912.PDF
  4. Baby Center. (2013). My Pregnancy Today. Retrieved from Baby Center. Retrieved May 19 2013,from http://www.babycenter.com/my-pregnancy-today-app.
  5. Baker, B. (2006). Mobile phone text message based consultation: An investigation of current practice and associated best practice recommendations. Retrieved November 22, 2008, from http://www.ehealthnurses.org.uk/pdf/mobreport.pdf
  6. Bali, S., & Singh, A. J. (2007). Mobile phone consultation for community health care in rural north India. Journal of Telemedicine and Telecare 2007, 13(8), 421–424. Retrieved November 15, 2008, from http://jtt.rsmjournals.com/cgi/reprint/13/8/421
  7. Burns N & Grove SK (1997). The practice of Nursing Research Conduct, Critique, & Utilization. W.B Saunders and Co., Philadelphia.
  8. Charmaz, K. (2000). Grounded theory: Objectivist & constructivist methods. Handbook of Qualitative Research, 2nd edition
  9. Chetley, A. (2006). Improving health, connecting people: The role of ICTs in the health sector of developing countries. Retrieved October 30, 2008, from http://www.asksource.info/pdf/framework2.pdf
  10. Cohen, P (1989). The handbook of Artificial Intelligence,Volume IV. Reading, Mass: Addison Wesley.
  11. Blascheke, S and Bokenkamp, K(2009). Using Mobile Phones to Improve Child Nutrition Surveillance. UNICEF. Retrieved from: http://mobileactive.org/research/using-mobile-phones-improve-child-nutrition-surveillance-malawi
  12. Buys, Piet, Susmita Dasgupta, Timothy S. Thomas and David Wheeler. (2009). “Determinants of a Digital Divide in Sub-Saharan Africa: A Spatial Econometric Analysis of Cell Phone Coverage.” World Development. 37(9).
  13. Center for Disease Control and Prevention. (2013, March 6). Women's Health.Retrieved February 27, 2012, from Become a Text4baby Partner: http://www.cdc.gov/women/text4baby/
  14. Chib, A. (2010). The Aceh Besar midwives with mobile phones project: Design and Evaluation perspectives using the information and communication technologies for health care development model. Journal of Computer-Mediated Communication, 500-501.
  15. Donner, J. (2004). Innovations in mobile-based public health information systems in the developing world: An example from Rwanda. Retrieved November 18, 2008, from http://jonathandonner.com/donner-mobhealth.pdf
  16. Engelmore, R. S. & Feigenbaum, E.(1993) Expert Systems and Artificial Intelligence. Knowledge-based systems in Japan. Japanese Technology Evaluation Centre.
  17. Ghebrehiwet, M. and Morrow, R.H. (2002). Delay in seeking and receiving emergency obstetric care in Eritrea.
  18. GSMA. (2013). Mobile Technology. Retrieved June 6th, 2013, from GSMA: http://www.gsma.com/aboutus/gsm-technology/gsm
  19. Guidotti R and Jobson D,. (2005). Safe Motherhood. Detecting pre-eclampsia : A practical guide.
  20. Iluyemi, A. (2007). Mobile e-Learning for community based health workers in developing countries: A proposed model. Paper presented at The First International m-libraries Conference, Milton Keynes, United Kingdom
  21. International Telecommunications Union (2011), Mobile Cellular Subscriptions. Reviewed December 2011
  22. IRIN (2009). Ghana: Cell phones cut maternal deaths. Last accessed on 09/02/2012: http://www.irinnews.org/report.aspx?ReportId=87261
  23. Kinkade S., & Verclas, K. (2008). Wireless technology for social change: Trends in mobile use by NGOs. United Kingdom: UN Foundation–Vodafone Group Foundation Partnership.Retrieved November 15, 2008, from http://mobileactive.org/files/MobilizingSocialChange_full.pdf
  24. Kothari C. R (2004). Research Methodology: Methods and Techniques
  25. Lagsten, J. (2011). Evaluating Information Systems according to Stakeholders: A Pragmatic Perspective and Method. The Electronic Journal Information Systems Evaluation Volume 14 Issue 1, (pp73-88)
  26. McConnell, H., Chathoth, P., Pardy, A., Boostrom, C., Boostrom, E., & Louw, K. (2008). Leapfrog technologies for health and development. Global Forum Update on Research for Health, 5, 130–135.
  27. Mechael, P.N (2009). “Mobile Phones for Mother and Child Care: Case Study for Egypt”.
  28. Ministry of Health (MOH)(1996). National Reproductive Health Strategy, 1997-2010. Nairobi:MOH.
  29. Mishra, S., & Singh, I. P. (2008, July 13). mHealth: A developing country perspective. Paper presented at the Making the eHealth Connection: Global Partnerships, Local Solutions Conference 2008, Bellagio, Italy.
Index Terms

Computer Science
Information Sciences

Keywords

GSM- Global Systems for Mobile Communications (GSMA 2013) Mobile Application or Mobile App or App – This is an application developed for small hand held devices that come either pre-installed on phones during manufacture or downloaded by customers from various mobile software distribution platforms. (Viswanathan 2013) Expert System- A computer program that attempts to act like a human expert on a particular subject area (Zwass 1985) e IMCI -electronic Integrated Management of Childhood Illness ES – Expert System HIV/AIDS-Human Immunodeficiency Virus Infection/Acquired Immunodeficiency Syndrome