Literature DB >> 28518405

Setting Ambitious yet Achievable Targets Using Probabilistic Projections: Meeting Demand for Family Planning.

Vladimíra Kantorová, Jin Rou New, Ann Biddlecom, Leontine Alkema.   

Abstract

In 2015, governments adopted 17 internationally agreed goals to ensure progress and well-being in the economic, social, and environmental dimensions of sustainable development. These new goals present a challenge for countries to set empirical targets that are ambitious yet achievable and that can account for different starting points and rates of progress. We used probabilistic projections of family planning indicators, based on a global data set and Bayesian hierarchical modeling, to generate illustrative targets at the country level. Targets were defined as the percentage of demand for family planning satisfied with modern contraceptive methods where a country has at least a 10 percent chance of reaching the target by 2030. National targets for 2030 ranged from below 50 percent of demand satisfied with modern contraceptives (for three countries in Africa) to above 90 percent (for 41 countries from all major areas of the world). The probabilistic approach also identified countries for which a global fixed target value of 75 percent demand satisfied was either unambitious or has little chance of achievement. We present the web-based Family Planning Estimation Tool (FPET) enabling national decision makers to compute and assess targets for meeting family planning demand.
© 2017 The Population Council, Inc.

Mesh:

Year:  2017        PMID: 28518405     DOI: 10.1111/sifp.12025

Source DB:  PubMed          Journal:  Stud Fam Plann        ISSN: 0039-3665


  4 in total

1.  Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-12       Impact factor: 79.321

2.  Estimating progress towards meeting women's contraceptive needs in 185 countries: A Bayesian hierarchical modelling study.

Authors:  Vladimíra Kantorová; Mark C Wheldon; Philipp Ueffing; Aisha N Z Dasgupta
Journal:  PLoS Med       Date:  2020-02-18       Impact factor: 11.069

3.  Complex samples logistic regression analysis of predictors of the current use of modern contraceptive among married or in-union women in Sierra Leone: Insight from the 2013 demographic and health survey.

Authors:  Pascal Agbadi; Tagoe Twumwaa Eunice; Agyemang F Akosua; Seth Owusu
Journal:  PLoS One       Date:  2020-04-16       Impact factor: 3.240

4.  Sub-national levels and trends in contraceptive prevalence, unmet need, and demand for family planning in Nigeria with survey uncertainty.

Authors:  Laina D Mercer; Fred Lu; Joshua L Proctor
Journal:  BMC Public Health       Date:  2019-12-30       Impact factor: 3.295

  4 in total

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