Monitoring and evaluating data in
health informatics systems: An
application to Kenya Red Cross Society
(KRCS)
By
Florence Nelima Nyongesa
Health Economics Fellow
Introduction
• A functional monitoring and evaluation (M&E)
system is one of the cornerstones of a
country’s response disease management and
control. It provides the strategic information
needed to make good decisions for managing
and improving program performance,
formulating policy and advocacy messages
and planning programs better. It also
generates data to satisfy accountability
requirements
Cont’
• Many institutions in Kenya, including the KRCS
which run health related programs are equally
faced with poor data coverage, treatment
burdens are often estimated using
rudimentary methods.
Problem statement
There is need to eliminate the barriers in
health organizations that prevent project
implementers in the organization from
meeting data requirements for information
sharing, transparency, and accountability.
Objective
The overall objective is determining ways of
monitoring and evaluating data in health
informatics system at KRCS.
Literature
• WHO (2006), “Monitoring and Evaluation of Maternal
and Newborn Health and Services at the District Level”,
• Methodology for Monitoring and Evaluation of Health
Sector Reform in Latin America and the Caribbean
(1998),
• Monitoring and Evaluation Toolkit HIV, Tuberculosis
and Malaria and Health Systems Strengthening (2009),
Health Metrics Network. Statistics save lives:
• Strengthening country health information systems.
Geneva: Health Metrics Network; 2005 etc
Activities and guidelines
• Create order in design and implementation of
data collection tools at baseline, midterm and
end term.
• Assess suitability for data collection tools in
collecting adequate and correct data in line with
research questions, objectives and hypothesis.
• Create KRCS Health database for all records and
documentation of work done by the society.
• Tie academic and operational research ends and
cater for the needs of academic funding,
collaborations and donor funds (traditional way)
Activities and guidelines cont’
• Set up an office with computers, data base and
analysis softwares e.g SPSS, EP-Info, STATA and
SASS and manage yearly licenses for the program.
• Generate periodic summaries of statistical/ data
outcomes based on the needs of the
organization.
• Quality data checks and innovation in data
collection e.g recommend use of GPS, PDA and
phones in data collection.
• Linkage with other data software companies to
access Epi-survey or the software
Challenges
• Implementing integrated data repositories
• ensuring that data supports applications and
administrative systems
• data sharing
• creating a single view of a beneficiary,
provider, manufacturer, or citizen
• and detecting and preventing to fight fraud,
waste, and abuse
Thank you