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Improving health information systems for decision making across five sub-Saharan African countries: Implementation strategies from the African Health Initiative
Authors:Wilbroad Mutale  Namwinga Chintu  Cheryl Amoroso  Koku Awoonor-Williams  James Phillips  Colin Baynes  Cathy Michel  Angela Taylor  Kenneth Sherr  with input from the Population Health Implementation and Training – Africa Health Initiative Data Collaborative
Institution:1.Centre for Infectious Disease Research in Zambia,Zambia;2.School of Medicine,University of Zambia,Zambia;3.Partners In Health/Inshuti Mu Buzima,Rwanda;4.Upper East Regional Health Directorate,Ministry of Health,Ghana;5.Heilbrunn Department of Population and Family Health, Mailman School of Public Health,Columbia University,USA;6.Ifakara Health Institute,Mikocheni,Tanzania;7.Health Alliance International,Direc?ao Provincial de Saúde,Beira,Mozambique;8.Department of Global Health,University of Washington,Seattle,USA
Abstract:

Background

Weak health information systems (HIS) are a critical challenge to reaching the health-related Millennium Development Goals because health systems performance cannot be adequately assessed or monitored where HIS data are incomplete, inaccurate, or untimely. The Population Health Implementation and Training (PHIT) Partnerships were established in five sub-Saharan African countries (Ghana, Mozambique, Rwanda, Tanzania, and Zambia) to catalyze advances in strengthening district health systems. Interventions were tailored to the setting in which activities were planned.

Comparisons across strategies

All five PHIT Partnerships share a common feature in their goal of enhancing HIS and linking data with improved decision-making, specific strategies varied. Mozambique, Ghana, and Tanzania all focus on improving the quality and use of the existing Ministry of Health HIS, while the Zambia and Rwanda partnerships have introduced new information and communication technology systems or tools. All partnerships have adopted a flexible, iterative approach in designing and refining the development of new tools and approaches for HIS enhancement (such as routine data quality audits and automated troubleshooting), as well as improving decision making through timely feedback on health system performance (such as through summary data dashboards or routine data review meetings). The most striking differences between partnership approaches can be found in the level of emphasis of data collection (patient versus health facility), and consequently the level of decision making enhancement (community, facility, district, or provincial leadership).

Discussion

Design differences across PHIT Partnerships reflect differing theories of change, particularly regarding what information is needed, who will use the information to affect change, and how this change is expected to manifest. The iterative process of data use to monitor and assess the health system has been heavily communication dependent, with challenges due to poor feedback loops. Implementation to date has highlighted the importance of engaging frontline staff and managers in improving data collection and its use for informing system improvement. Through rigorous process and impact evaluation, the experience of the PHIT teams hope to contribute to the evidence base in the areas of HIS strengthening, linking HIS with decision making, and its impact on measures of health system outputs and impact.
Keywords:
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