Couple-Years of Protection Indicator: New Global Guidance for Updating Existing Methods and Adding New Methods.

Background: Couple-years of protection (CYP) is an indicator that allows for monitoring and evaluating of family planning (FP) program performance through simple calculations. The CYP for each contraceptive method is calculated by multiplying the number of contraceptive commodity units distributed to clients over a 1-year period by a conversion factor that quantifies the duration of contraceptive protection provided per unit distributed. CYP calculations across methods were previously updated in 2000 and 2011, resulting in changes in methodology, factor inclusion, and specific methods.

Women living with their mothers-in-law.

Background Many studies have documented the impacts mothers-in-law have on daughters-in-law living in the same household, but few have quantified the scale of this co-residence. This study aims to estimate the proportion of married women living with their mothers-in-law across countries and time.  Methods Using household rosters from 250 Demographic and Health Surveys in 75 countries, this paper uses the "relationship to head of household" question to identify households where married women live with their mothers-in-law.

Using family planning service statistics to inform model-based estimates of modern contraceptive prevalence.

The annual assessment of Family Planning (FP) indicators, such as the modern contraceptive prevalence rate (mCPR), is a key component of monitoring and evaluating goals of global FP programs and initiatives. To that end, the Family Planning Estimation Model (FPEM) was developed with the aim of producing survey-informed estimates and projections of mCPR and other key FP indictors over time. With large-scale surveys being carried out on average every 3-5 years, data gaps since the most recent survey often exceed one year.

Setting the stage for strengthened annual monitoring of family planning program performance at the state/national level in Myanmar.

Although Myanmar has made good progress in family planning by increased contraceptive prevalence rate (CPR) from 41% in 2007 to 52.2% in 2016, it remains lower than the target of 60% by 2020. There are also huge disparities sub-nationally, ranging from 25% to 60%.

Using Evidence to Drive Impact: Developing the FP Goals Impact Matrix.

When designing a family planning (FP) strategy, decision-makers can choose from a wide range of interventions designed to expand access to and develop demand for FP. However, not all interventions will have the same impact on increasing modern contraceptive prevalence (mCP). Understanding the existing evidence is critical to planning successful and cost-effective programs.

The maximum contraceptive prevalence 'demand curve': guiding discussions on programmatic investments.

Most frameworks for family planning include both access and demand interventions. Understanding how these two are linked and when each should be prioritized is difficult. The maximum contraceptive prevalence 'demand curve' was created based on a relationship between the modern contraceptive prevalence rate (mCPR) and mean ideal number of children to allow for a quantitative assessment of the balance between access and demand interventions.

Modern contraceptive use, unmet need, and demand satisfied among women of reproductive age who are married or in a union in the focus countries of the Family Planning 2020 initiative: a systematic analysis using the Family Planning Estimation Tool.

Background: The London Summit on Family Planning in 2012 inspired the Family Planning 2020 (FP2020) initiative and the 120×20 goal of having an additional 120 million women and adolescent girls become users of modern contraceptives in 69 of the world's poorest countries by the year 2020. Working towards achieving 120 × 20 is crucial for ultimately achieving the Sustainable Development Goals of universal access and satisfying demand for reproductive health. Thus, a performance assessment is required to determine countries' progress.

Impact of family planning programs in reducing high-risk births due to younger and older maternal age, short birth intervals, and high parity.

Several studies show that maternal and neonatal/infant mortality risks increase with younger and older maternal age (<18 and >34 years), high parity (birth order >3), and short birth intervals (<24 months). Family planning programs are widely viewed as having contributed to substantial maternal and neonatal mortality decline through contraceptive use--both by reducing unwanted births and by reducing the burden of these high-risk births. However, beyond averting births, the empirical evidence for the role of family planning in reducing high-risk births at population level is limited.

Linking high parity and maternal and child mortality: what is the impact of lower health services coverage among higher order births?

Background: A number of data sets show that high parity births are associated with higher child mortality than low parity births. The reasons for this relationship are not clear. In this paper we investigate whether high parity is associated with lower coverage of key health interventions that might lead to increased mortality.

Residual confounding explains the association between high parity and child mortality.

Background: This study used data from recent Demographic and Health Surveys (DHS) to examine the impact of high parity on under-five and neonatal mortality. The analyses used various techniques to attempt eliminating selection issues, including stratification of analyses by mothers' completed fertility.

Methods: We analyzed DHS datasets from 47 low- and middle-income countries.