Monitoring And Evaluation

Few public health interventions can match the immense achievements of immunization in terms of mortality and morbidity reduction. However, progress in reaching global coverage goals and achieving universal immunization coverage have stalled; with key stakeholders concerned about the accuracy of reported coverage figures. Incomplete and incorrect data has made it challenging to obtain an accurate overview of immunization coverage, particularly in low- and middle-income countries (LMIC). To date, only one literature review concerning immunization data quality exists.
This paper analyzes the impact of data gap in Millennium Development Goals’ (MDGs) performance indicators on actual performance success of MDGs. Performance success, within the MDG framework, is quantified using six different ways proposed in the existing literature, including both absolute and relative performance and deviation from historical transition paths of MDG indicators. The empirical analysis clearly shows that the data gap in performance measurement is a significant predictor of poor MDG performance in terms of any of the six progress measures.