Meeting Community Health Worker Needs for Maternal Health Care Service Delivery Using Appropriate Mobile Technologies in Ethiopia

Background Mobile health applications are complex interventions that essentially require changes to the behavior of health care professionals who will use them and changes to systems or processes in delivery of care. Our aim has been to meet the technical needs of Health Extension Workers (HEWs) and midwives for maternal health using appropriate mobile technologies tools. Methods We have developed and evaluated a set of appropriate smartphone health applications using open source components, including a local language adapted data collection tool, health worker and manager user-friendly dashboard analytics and maternal-newborn protocols. This is an eighteen month follow-up of an ongoing observational research study in the northern of Ethiopia involving two districts, twenty HEWs, and twelve midwives. Results Most health workers rapidly learned how to use and became comfortable with the touch screen devices so only limited technical support was needed. Unrestricted use of smartphones generated a strong sense of ownership and empowerment among the health workers. Ownership of the phones was a strong motivator for the health workers, who recognised the value and usefulness of the devices, so took care to look after them. A low level of smartphones breakage (8.3%,3 from 36) and loss (2.7%) were reported. Each health worker made an average of 160 mins of voice calls and downloaded 27Mb of data per month, however, we found very low usage of short message service (less than 3 per month). Conclusions Although it is too early to show a direct link between mobile technologies and health outcomes, mobile technologies allow health managers to more quickly and reliably have access to data which can help identify where there issues in the service delivery. Achieving a strong sense of ownership and empowerment among health workers is a prerequisite for a successful introduction of any mobile health program.

[1]  Patricia Mechael,et al.  Barriers and Gaps Affecting mHealth in Low and Middle Income Countries: Policy White Paper , 1970 .

[2]  R B Roth Health care delivery. , 1972, JAMA.

[3]  M. Fishbein,et al.  Factors influencing behavior and behavior change. , 2000 .

[4]  T. Revenson,et al.  Handbook of Health Psychology , 2001 .

[5]  S. Swider,et al.  Outcome effectiveness of community health workers: an integrative literature review. , 2002, Public health nursing.

[6]  Cesar G Victora,et al.  How can we achieve and maintain high-quality performance of health workers in low-resource settings? , 2005, The Lancet.

[7]  Taghreed Adam,et al.  Evidence-based, cost-effective interventions: how many newborn babies can we save? , 2005, The Lancet.

[8]  Shannon J. Lane,et al.  Bmc Medical Informatics and Decision Making a Review of Randomized Controlled Trials Comparing the Effectiveness of Hand Held Computers with Paper Methods for Data Collection , 2006 .

[9]  K. Walshe Understanding what works--and why--in quality improvement: the need for theory-driven evaluation. , 2007, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[10]  Contributions from M. Walpole The Millennium Development Goals Report , 2008 .

[11]  Mark Tomlinson,et al.  The use of mobile phones as a data collection tool: A report from a household survey in South Africa , 2009, BMC Medical Informatics Decis. Mak..

[12]  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.

[13]  Paul G. Biondich,et al.  Experience Implementing Electronic Health Records in Three East African Countries , 2010, MedInfo.

[14]  Hamish S. F. Fraser,et al.  Using Electronic Medical Records for HIV Care in Rural Rwanda , 2010, MedInfo.

[15]  J. Aker,et al.  Mobile Phones and Economic Development in Africa , 2010 .

[16]  D. Estrin,et al.  Open mHealth Architecture: An Engine for Health Care Innovation , 2010, Science.

[17]  William M. Tierney,et al.  Creation and evaluation of EMR-based paper clinical summaries to support HIV-care in Uganda, Africa , 2010, Int. J. Medical Informatics.

[18]  Jiajie Zhang,et al.  Performance factors of mobile rich media job aids for community health workers , 2011, J. Am. Medical Informatics Assoc..

[19]  Nandan Nilekani Building a foundation for better health: the role of the Aadhaar number. , 2011, The National medical journal of India.

[20]  Robert W Snow,et al.  The effect of mobile phone text-message reminders on Kenyan health workers' adherence to malaria treatment guidelines: a cluster randomised trial , 2011, The Lancet.

[21]  T. Sullivan,et al.  Reaching Remote Health Workers in Malawi: Baseline Assessment of a Pilot mHealth Intervention , 2012, Journal of health communication.

[22]  S. Lund,et al.  Mobile phones as a health communication tool to improve skilled attendance at delivery in Zanzibar: a cluster‐randomised controlled trial , 2012, BJOG : an international journal of obstetrics and gynaecology.

[23]  S. Rubin,et al.  Effectiveness of mHealth Behavior Change Communication Interventions in Developing Countries: A Systematic Review of the Literature , 2012, Journal of health communication.

[24]  M. Spigt,et al.  The role of health extension workers in improving utilization of maternal health services in rural areas in Ethiopia: a cross sectional study , 2012, BMC Health Services Research.

[25]  Frances E Aboud,et al.  Challenges to changing health behaviours in developing countries: a critical overview. , 2012, Social science & medicine.

[26]  Francis Collins,et al.  How to fulfill the true promise of "mHealth": Mobile devices have the potential to become powerful medical tools. , 2012, Scientific American.

[27]  Mark Tomlinson,et al.  Point of care in your pocket: a research agenda for the field of m-health. , 2012, Bulletin of the World Health Organization.

[28]  G. Dinant,et al.  Knowledge and performance of the Ethiopian health extension workers on antenatal and delivery care: a cross-sectional study , 2012, Human Resources for Health.

[29]  Mark Tomlinson,et al.  Standardized Functions for Smartphone Applications: Examples from Maternal and Child Health , 2012, International journal of telemedicine and applications.

[30]  A. Haines,et al.  The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis , 2013, PLoS medicine.

[31]  Jocalyn Clark,et al.  A Reality Checkpoint for Mobile Health: Three Challenges to Overcome , 2013, PLoS medicine.

[32]  A. Haines,et al.  The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review , 2013, PLoS medicine.

[33]  L. Swartz,et al.  Scaling Up mHealth: Where Is the Evidence? , 2013, PLoS medicine.