Value of a mobile information system to improve quality of care by community health workers.

INTRODUCTION We will be unable to achieve sustained impact on health outcomes with community health worker (CHW)-based interventions unless we bridge the gap between small scale efficacy studies and large scale interventions. Effective strategies to support the management of CHWs are central to bridging the gap. Mobile phones are broadly available, particularly in low and middle income countries (LAMIC's), where the penetration rate approaches 100%. In this article we describe how mobile phones may be combined with mobile web-based technology to assist in the management of CHWs in two projects in South Africa. METHODS This paper is a descriptive one, drawing lessons from two Randomised Controlled Trials (RCT's), outlining how a mobile phone information system can be utilized to enhance the quality of health interventions. We organized our comprehensive management and supervision system around a previously published management framework. The system is composed of mobile phones utilized by CHWs and a web-based interface utilized by CHW supervisors. Computerized algorithms were designed with intervention and assessment protocols to aid in the real-time supervision and management of CHWs. RESULTS CHWs used mobile phones to initiate intervention visits and trigger content to be delivered during the course of intervention visits. Supervisors used the web-based interface for real-time monitoring of the location, timing, and content of intervention visits. Additional real-time support was provided through direct support calls in the event of crises in the field. CONCLUSION Mobile phone-based information system platforms offer significant opportunities to improve CHW-delivered interventions. The extent to which these efficiency gains can be translated into realized health gains for communities is yet to be tested.

[1]  J. Macinko,et al.  The Brazilian health system: history, advances, and challenges , 2011, The Lancet.

[2]  G. Walt,et al.  Are large-scale volunteer community health worker programmes feasible? The case of Sri Lanka. , 1989, Social science & medicine.

[3]  R. Weiss,et al.  Outcomes of home visits for pregnant mothers and their infants: a cluster randomized controlled trial , 2013, AIDS.

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

[5]  A. Bang,et al.  Methods and the Baseline Situation in the Field Trial of Home-Based Neonatal Care in Gadchiroli, India , 2005, Journal of Perinatology.

[6]  Robert E Black,et al.  Effect of pneumonia case management on mortality in neonates, infants, and preschool children: a meta-analysis of community-based trials. , 2003, The Lancet. Infectious diseases.

[7]  A. Haines,et al.  Achieving child survival goals: potential contribution of community health workers , 2007, The Lancet.

[8]  Robert E Black,et al.  Effect of community-based newborn-care intervention package implemented through two service-delivery strategies in Sylhet district, Bangladesh: a cluster-randomised controlled trial , 2008, The Lancet.

[9]  Louette R. Johnson Lutjens Research , 2006 .

[10]  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.

[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]  Igor Rudan,et al.  Primary health care: making Alma-Ata a reality , 2008, The Lancet.

[13]  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.

[14]  Lisa Thompson,et al.  Survey Methodology in Violence- prone Khayelitsha, Cape Town, South Africa , 2009 .

[15]  Francis Creed,et al.  Cognitive behaviour therapy-based intervention by community health workers for mothers with depression and their infants in rural Pakistan: a cluster-randomised controlled trial , 2008, The Lancet.

[16]  L. Huicho,et al.  Scaling up integrated management of childhood illness to the national level: achievements and challenges in Peru. , 2005, Health policy and planning.

[17]  P. Garner,et al.  Primary health care supervision in developing countries , 2008, Tropical medicine & international health : TM & IH.

[18]  M. Deming,et al.  The rise and fall of supervision in a project designed to strengthen supervision of Integrated Management of Childhood Illness in Benin. , 2010, Health policy and planning.

[19]  S. Y. Rowe,et al.  Community health worker performance in the management of multiple childhood illnesses: Siaya District, Kenya, 1997-2001. , 2001, American journal of public health.

[20]  A. Bang,et al.  Neonatal and Infant Mortality in the Ten Years (1993 to 2003) of the Gadchiroli Field Trial: Effect of Home-Based Neonatal Care , 2005, Journal of Perinatology.

[21]  H. Gray,et al.  Reducing attrition among village health workers in rural Nigeria , 1988 .

[22]  S. Vermund,et al.  Monitoring and evaluation of programmes to prevent mother to child transmission of HIV in Africa , 2007, BMJ : British Medical Journal.

[23]  J. Lawn,et al.  Every death counts: use of mortality audit data for decision making to save the lives of mothers, babies, and children in South Africa , 2008, The Lancet.

[24]  A. Costello,et al.  Effect of a participatory intervention with women's groups on birth outcomes in Nepal: cluster-randomised controlled trial , 2004, The Lancet.