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Indicators for monitoring the Millennium Development Goals: definitions, rationale, concepts and sources.
New York, New York, United Nations, 2003 Oct.  p.This handbook contains basic metadata on the agreed list of quantitative indicators for monitoring progress towards the 8 goals and 18 targets derived from the Millennium Declaration. The list of indicators, developed using several criteria, is not intended to be prescriptive but to take into account the country setting and the views of various stakeholders in preparing country-level reports. Five main criteria guided the selection of indicators. They should: Provide relevant and robust measures of progress towards the targets of the Millennium Development Goals. Be clear and straightforward to interpret and provide a basis for international comparison. Be broadly consistent with other global lists and avoid imposing an unnecessary burden on country teams, governments and other partners. Be based to the greatest extent possible on international standards, recommendations and best practices. Be constructed from well-established data sources, be quantifiable and be consistent to enable measurement over time. The handbook is designed to provide the United Nations country teams and national and international stakeholders with guidance on the definitions, rationale, concepts and sources of the data for the indicators that are being used to monitor the Millennium Development Goals. Just as the indicator list is dynamic and will necessarily evolve in response to changing national situations, so will the metadata change over time as concepts, definitions and methodologies change. (excerpt)
Monitoring the Declaration of Commitment on HIV / AIDS. Guidelines on construction of core indicators. Revised.
Geneva, Switzerland, UNAIDS, 2002 Dec. 72 p. (UNAIDS/02.51E)The purpose of the current guidelines is to provide countries with technical guidance on the detailed specification of the indicators, on the information required and the basis of their construction, and on their interpretation. These guidelines aim to maximize the validity, internal consistency and comparability across countries and over time of the indicator estimates obtained, and to ensure consistency in the types of data and methods of calculation employed. (excerpt)
In: Addendum. Manual IX: The methodology of measuring the impact of family planning programmes on fertility, by the Population Division of the Department of International Economic and Social Affairs of the United Nations. New York, New York, United Nations, 1986. 9-14. (Population Studies No. 66; ST/ESA/SER.A/66/Add.1)This chapter describes and applies a new methodology for estimating the fertility impact of contraception obtained through a family planning program. This approach is called the prevalence method because the principal data required for its application are estimates of the prevalence of contraceptive use at a given point in time. It is the objective of the prevalence method to estimate the number of births averted as well as the reduction in the crude birth rate that results form the use of program contraception. A single application of the procedure produces these estimates for 1 year, but repeated applications for different years can yield a time-series of births averted or other impact measures. The procedure for calculating births averted by program users consists of 6 parts to obtain, consecutively, estimates of: natural fertility, potential fertility, fertility impact of program use, births averted, birth rate impact, and method-specific results. Each of these steps is described in some detail. This new approach provides a simple and straightforward alternative to existing methods for estimating the gross fertility impact of program contraception. In contrast to several of the other procedures, the prevalence method does not require detailed input data on numbers of past acceptors and continuation rates. Instead, estimates of the prevalence of program and non-program contraception by age and method are required as principal input data. While such data were rarely available in the past, prevalence estimates are now routinely obtained from national surveys in many developing countries, thus making the application of the prevalence method possible.