TY - JOUR
T1 - LiST as a catalyst in program planning
T2 - Experiences from Burkina Faso, Ghana and Malawi
AU - Bryce, Jennifer
AU - Friberg, Ingrid K.
AU - Kraushaar, Daniel
AU - Nsona, Humphreys
AU - Afenyadu, Godwin Yaw
AU - Nare, Narcisse
AU - Kyei-Faried, Sardick
AU - Walker, Neff
N1 - Funding Information:
This work was supported by the Bill and Melinda Gates Foundation through grants to the World Health Organization to support the rapid scale-up of proven interventions in Burkina Faso, Malawi and Mozambique and to the US Fund for UNICEF to promote evidence-based decision making in designing maternal, neonatal and child health interventions in low-and middle-income countries, and by the Canadian International Development Agency through a grant to the Institute for International Programs at the Johns Hopkins Bloomberg School of Public Health for real-time monitoring of child mortality under the Catalytic Initiative to Save One Million Lives.
PY - 2010/4/1
Y1 - 2010/4/1
N2 - Background: African countries are working to achieve rapid reductions in maternal and child mortality and meet their targets for the Millennium Development Goals (MDGs). Partners in the Catalytic Initiative to Save One Million Lives (CI) are assisting them by providing funding and technical assistance to increase and accelerate coverage for proven interventions. Here we describe how the Lives Saved Tool (LiST) was used as part of an early assessment of the expected impact of CI plans in Malawi, Burkina Faso and Ghana. Methods: LiST builds on country-specific demographic and cause-of-death profiles, and models the effect of changes in coverage for proven interventions on future levels of mortality among children less than 5 years of age. We worked with representatives of Ministries of Health and their development partners to apply LiST to assess the potential impact of CI plans and coverage targets, generating a short list of the highest-priority interventions for additional scale-up to achieve rapid reductions in under-5 mortality. Results: The results show that in each country, achieving national coverage targets for just four or five high-impact interventions could reduce under-5 mortality by at least 20% by 2011, relative to 2006 levels. Even greater gains could be obtained in Burkina Faso and Ghana by scaling up these high-impact interventions to 80%. Discussion: LiST can contribute to the development of stronger programmes by identifying the highest-impact interventions in a given epidemiological setting. The quality of LiST estimates is dependent on the available data on coverage levels and causes of death, and assumes that the target levels of coverage are feasible in a given context while maintaining service quality. Further experience is needed in the feasibility and usefulness of LiST as part of the program planning process at district and subdistrict levels.
AB - Background: African countries are working to achieve rapid reductions in maternal and child mortality and meet their targets for the Millennium Development Goals (MDGs). Partners in the Catalytic Initiative to Save One Million Lives (CI) are assisting them by providing funding and technical assistance to increase and accelerate coverage for proven interventions. Here we describe how the Lives Saved Tool (LiST) was used as part of an early assessment of the expected impact of CI plans in Malawi, Burkina Faso and Ghana. Methods: LiST builds on country-specific demographic and cause-of-death profiles, and models the effect of changes in coverage for proven interventions on future levels of mortality among children less than 5 years of age. We worked with representatives of Ministries of Health and their development partners to apply LiST to assess the potential impact of CI plans and coverage targets, generating a short list of the highest-priority interventions for additional scale-up to achieve rapid reductions in under-5 mortality. Results: The results show that in each country, achieving national coverage targets for just four or five high-impact interventions could reduce under-5 mortality by at least 20% by 2011, relative to 2006 levels. Even greater gains could be obtained in Burkina Faso and Ghana by scaling up these high-impact interventions to 80%. Discussion: LiST can contribute to the development of stronger programmes by identifying the highest-impact interventions in a given epidemiological setting. The quality of LiST estimates is dependent on the available data on coverage levels and causes of death, and assumes that the target levels of coverage are feasible in a given context while maintaining service quality. Further experience is needed in the feasibility and usefulness of LiST as part of the program planning process at district and subdistrict levels.
KW - Child mortality
KW - Child survival
KW - Community case management
KW - Coverage
KW - Effectiveness evaluation
KW - Millennium development goals
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U2 - 10.1093/ije/dyq020
DO - 10.1093/ije/dyq020
M3 - Article
C2 - 20348125
AN - SCOPUS:77951650735
SN - 0300-5771
VL - 39
SP - i40-i47
JO - International journal of epidemiology
JF - International journal of epidemiology
IS - SUPPL. 1
ER -