Assessing Mobile Phone Access and Perceptions for Texting-Based mHealth Interventions Among Expectant Mothers and Child Caregivers in Remote Regions of Northern Kenya: A Survey-Based Descriptive Study

Background With a dramatic increase in mobile phone use in low- and middle-income countries, mobile health (mHealth) has great potential to connect health care services directly to participants enrolled and improve engagement of care. Rural and remote global settings may pose both significant challenges and opportunities. Objective The objective of our study was to understand the demographics, phone usage and ownership characteristics, and feasibility among patients in rural and remote areas of Kenya of having text messaging (short messaging service, SMS)-based mHealth intervention for improvements in antenatal care attendance and routine immunization among children in Northern Kenya. Methods A survey-based descriptive study was conducted between October 2014 and February 2015 at 8 health facilities in Northern Kenya as part of a program to scale up an mHealth service in rural and remote regions. The study was conducted at 6 government health facilities in Isiolo, Marsabit, and Samburu counties in remote and northern arid lands (NAL). Two less remote health facilities in Laikipia and Meru counties in more populated central highlands were included as comparison sites. Results A total of 284 participants were surveyed; 63.4% (180/284) were from NAL clinics, whereas 36.6% (104/284) were from adjacent central highland clinics. In the NAL, almost half (48.8%, 88/180) reported no formal education and 24.4% (44/180) self-identified as nomads. The majority of participants from both regions had access to mobile phone: 99.0% (103/104) of participants from central highlands and 82.1% (147/180) of participants from NAL. Among those who had access to a phone, there were significant differences in network challenges and technology literacy between the 2 regions. However, there was no significant difference in the proportion of participants from NAL and central highlands who indicated that they would like to receive a weekly SMS text message from their health care provider (90.0% vs 95.0%; P=.52). Overall, 92.0% (230/250) of participants who had access to a telephone said that they would like to receive a weekly SMS text message from their health care provider. Most phone users already spent the equivalent of 626 SMS text messages on mobile credit for personal use. Conclusions Despite the remoteness of northern Kenya’s NAL, the results indicate that the majority of pregnant women or care givers attending the maternal, newborn, and child health clinics have access to mobile phone and would like to receive text messages from their health care provider. mHealth programs, if designed appropriately for these settings, may be an innovative way for engaging women in care for improved maternal and newborn child health outcomes in order to achieve sustainable development goals.

[1]  D. Wald,et al.  One-way versus two-way text messaging on improving medication adherence: meta-analysis of randomized trials. , 2015, The American journal of medicine.

[2]  Zulfiqar A Bhutta,et al.  Stillbirths: what difference can we make and at what cost? , 2011, The Lancet.

[3]  R. Bashir,et al.  Thrombotic thrombocytopenia purpura: a potentially reversible cause of complete heart block. , 2015, The American journal of medicine.

[4]  S. A. Ali,et al.  Monitoring polio supplementary immunization activities using an automated short text messaging system in Karachi, Pakistan. , 2014, Bulletin of the World Health Organization.

[5]  R. Lester,et al.  Mobile health for early retention in HIV care: a qualitative study in Kenya (WelTel Retain) , 2014, African journal of AIDS research : AJAR.

[6]  Jb Obonyo,et al.  Kenya National Bureau Of Statistics (KNBS) And ICF Macro. Kenya Demographic And Health Survey 2008-09. , 2010 .

[7]  Rolf Wynn,et al.  Giving cell phones to pregnant women and improving services may increase primary health facility utilization: a case–control study of a Nigerian project , 2014, Reproductive Health.

[8]  F. Althabe,et al.  Interest of pregnant women in the use of SMS (short message service) text messages for the improvement of perinatal and postnatal care , 2012, Reproductive Health.

[9]  M. Stockwell,et al.  Utilizing health information technology to improve vaccine communication and coverage , 2013, Human vaccines & immunotherapeutics.

[10]  Özge Tunçalp,et al.  Global causes of maternal death: a WHO systematic analysis. , 2014, The Lancet. Global health.

[11]  N. Walker,et al.  Using the Lives Saved Tool (LiST) to Model mHealth Impact on Neonatal Survival in Resource-Limited Settings , 2014, PloS one.

[12]  J. Gazmararian,et al.  Use of Text Messaging for Maternal and Infant Health: A Systematic Review of the Literature , 2015, Maternal and Child Health Journal.

[13]  Michele L. Ybarra,et al.  Cell phone usage among adolescents in Uganda: acceptability for relaying health information. , 2011, Health education research.

[14]  Jamie Perin,et al.  Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000 , 2012, The Lancet.

[15]  Christina Synowiec,et al.  E-health in low- and middle-income countries: findings from the Center for Health Market Innovations. , 2012, Bulletin of the World Health Organization.

[16]  Marleen Temmerman,et al.  National, regional, and global levels and trends in maternal mortality between 1990 and 2015 with scenario-based projections to 2030: a systematic analysis by the United Nations Maternal Mortality Estimation Inter-Agency Group , 2015, The Lancet.

[17]  C. Dolea,et al.  World Health Organization , 1949, International Organization.

[18]  Iyabo Mabawonku,et al.  A Review of e-Health Interventions for Maternal and Child Health in Sub-Sahara Africa , 2015, Maternal and Child Health Journal.

[19]  A. Jahn,et al.  Use pattern of maternal health services and determinants of skilled care during delivery in Southern Tanzania: implications for achievement of MDG-5 targets , 2007, BMC pregnancy and childbirth.

[20]  S. Lund,et al.  Mobile Phone Intervention Reduces Perinatal Mortality in Zanzibar: Secondary Outcomes of a Cluster Randomized Controlled Trial , 2014, JMIR mHealth and uHealth.

[21]  Mufuta Tshimanga,et al.  Effectiveness of short message services reminder on childhood immunization programme in Kadoma, Zimbabwe - a randomized controlled trial, 2013 , 2015, BMC Public Health.

[22]  W. Jack,et al.  Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial , 2010, The Lancet.

[23]  Caroline O. Buckee,et al.  Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya , 2012, PloS one.

[24]  M. Mugford,et al.  WHO systematic review of randomised controlled trials of routine antenatal care , 2001, The Lancet.

[25]  A. Milén,et al.  Improvement of maternal health services through the use of mobile phones , 2011, Tropical medicine & international health : TM & IH.

[26]  Richard T Lester,et al.  Cell phones: tightening the communication gap in resource-limited antiretroviral programmes? , 2006, AIDS.

[27]  Dustin G Gibson,et al.  The feasibility of using mobile-phone based SMS reminders and conditional cash transfers to improve timely immunization in rural Kenya. , 2013, Vaccine.