The Value of Big Data for Family Planning

The Value of Big Data for Family Planning

While the use of modern methods of contraception are now commonplace in many countries, one-third of women in developing countries who begin using a modern method of contraception quit within the first year and half quit within two years[i]. Most discontinuation occurs among women who want to avoid pregnancy putting them at risk for unwanted pregnancies, maternal morbidity and mortality[ii]. Traditional measures of contraceptive use are collected retrospectively from population representative surveys conducted only every five years which are not well-suited to measuring contemporary trends in contraceptive discontinuation. This is problematic because advocates and health ministries cannot address concerns in a reasonable amount of time to impact widespread change. "Big Data" can supplement these static sources by providing dynamic, real time tracking of the reasons women discontinue using contraceptives and open up possibilities to prevent discontinuation or help facilitate switching between methods. So what exactly is "Big Data" and how can it supplement traditional reproductive health data? Big data is commonly thought...
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