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close this bookMother-Baby Package: Implementing Safe Motherhood in Countries (WHO, 1996, 108 p.)
close this folderHOW to operationalize the Mother-Baby Package
View the document(introduction...)
View the documentDefine national policy and guidelines
View the documentAssess needs
View the documentPrepare national plan of action
View the documentEstimate costs
View the documentIdentify sources of financial support
View the documentDevelop detailed implementation plan
Open this folder and view contentsImplement planned activities
View the documentMonitor and evaluate
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Estimate costs

Collection and analysis of data on the cost of implementing the activities can help programme planners and managers to develop a national or district package that is operationally feasible and sustainable. Cost information can be used to determine the affordability of the interventions, and can be useful in comparing the cost of the interventions with other clusters of interventions. In addition to estimating the total funds required, cost analysis also helps to consider the deployment of health personnel in delivering the interventions and the efficiency of putting supplies, equipment, drugs, and other inputs to work.

Costs are typically classified by inputs, and specifically into capital and recurrent cost categories. In the Mother-Baby Package, capital costs include large equipment such as operating theatre equipment, sterilizers, and vacuum extractors; buildings such as health centres and dispensaries; training activities for health personnel that occur only once or rarely; and the costs of social mobilization. Recurrent costs include supplies such as drugs, vaccines, syringes and small equipment; periodic training costs such as short in-service training courses; personnel costs; operation and maintenance of buildings and vehicles; and the operational costs of social mobilization.

A spreadsheet model, which is being developed, will assist in estimating the cost of implementing the interventions. The model offers two options: a “low income” setting where existing infrastructure is weak, and a “middle income” scenario where infrastructure is already in place, and in which the emphasis is to improve its functional effectiveness.

The model includes a set of assumptions, representing a hypothetical rural district population. However, a more rigorous analysis that better reflects the specific local situation will require consideration and, if necessary, modification of some of the critical inputs. All of the inputs are easily modified.