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Monitoring and evaluation of PMM efforts: what have we learned?
1School of Public Health, Columbia University, New York, NY 10032, USA.
Abstract:
One element of the operations research carried out by the Prevention of Maternal Mortality (PMM) teams in West Africa was a test of the indicators they used to monitor and evaluate their efforts. A small number of process indicators directly related to the PMM interventions in the health facilities and in the communities was selected and monitored. An examination of the teams' experiences in gathering and using these indicators shows: (i) that they are extremely useful for project design and management; (ii) that the necessary data are obtainable; (iii) that staff need training to gather, interpret and use the data; (iv) that monitoring and evaluation systems must be designed so that managers will use the information; and (v) that data on the costs of interventions can be tracked and are useful for evaluation and replication.
Insights
Operations research by Prevention of Maternal Mortality (PMM) teams in West Africa found that carefully selected process indicators are vital for effective maternal mortality reduction programs. Training and user-centered design are crucial for successful data utilization in project management and evaluation.
Area of Science:
- Public Health
- Health Services Research
- Operations Research
Background:
- Maternal mortality remains a significant global health challenge, particularly in West Africa.
- Effective monitoring and evaluation (M&E) systems are essential for improving maternal health interventions.
- The Prevention of Maternal Mortality (PMM) program implemented operations research to assess its M&E strategies.
Purpose of the Study:
- To evaluate the utility and feasibility of process indicators used by PMM teams in West Africa.
- To identify key factors influencing the successful gathering and application of M&E data in maternal health programs.
- To inform the design and implementation of more effective M&E systems for maternal mortality reduction.
Main Methods:
- Selection and monitoring of a limited set of process indicators directly linked to PMM interventions.
- Qualitative examination of PMM teams' experiences in data collection, interpretation, and utilization.
- Analysis of data accessibility, staff training needs, and system design for manager engagement.
Main Results:
- Process indicators proved highly valuable for project design and management.
- Required data for these indicators were obtainable.
- Staff require specific training in data gathering, interpretation, and application.
- M&E systems need to be designed for practical use by managers.
- Cost data tracking is feasible and beneficial for evaluation and replication.
Conclusions:
- Well-chosen process indicators are instrumental for the success of maternal mortality reduction initiatives.
- Investment in staff training and user-focused M&E system design is critical for maximizing data impact.
- The findings support the integration of cost-tracking into M&E for enhanced program evaluation and scalability.