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COMMENTARY
Open Access

“New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning

Aisha Dasgupta, Michelle Weinberger, Ben Bellows and Win Brown
Global Health: Science and Practice March 2017, 5(1):6-14; https://doi.org/10.9745/GHSP-D-16-00328
Aisha Dasgupta
aMarie Stopes International, London, UK.
bUnited Nations Population Division, New York, NY, USA.
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  • For correspondence: dasgupta{at}un.org
Michelle Weinberger
cAvenir Health, Washington, DC, USA.
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Ben Bellows
dPopulation Council, Lusaka, Zambia.
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Win Brown
eBill & Melinda Gates Foundation, Seattle, WA, USA.
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  • FIGURE 1
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    FIGURE 1

    Contribution of Adopters to Additional Users Depending on High, Medium, and Low Continuation Scenarios

    Abbreviations: LAPM, long-acting and permanent methods; mCPR, modern contraceptive prevalence rate; WRA, women of reproductive age.

  • FIGURE 2
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    FIGURE 2

    Using Service Statistics in FPET to Inform Trends in mCPR Growth

    Abbreviations: DHS, Demographic and Health Surveys; FPET, Family Planning Estimation Tool; MICS, Multiple Indicator Cluster Surveys; mCPR, modern contraceptive prevalence rate.

  • FIGURE 3
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    FIGURE 3

    How Contribution to Additional Users Are Modeled in Impact 2

    Source: Adapted from Weinberger, Fry, and Hopkins (2015).18

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Global Health: Science and Practice: 5 (1)
Global Health: Science and Practice
Vol. 5, No. 1
March 24, 2017
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“New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
Aisha Dasgupta, Michelle Weinberger, Ben Bellows, Win Brown
Global Health: Science and Practice Mar 2017, 5 (1) 6-14; DOI: 10.9745/GHSP-D-16-00328

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“New Users” Are Confusing Our Counting: Reaching Consensus on How to Measure “Additional Users” of Family Planning
Aisha Dasgupta, Michelle Weinberger, Ben Bellows, Win Brown
Global Health: Science and Practice Mar 2017, 5 (1) 6-14; DOI: 10.9745/GHSP-D-16-00328
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  • Article
    • INTRODUCTION
    • ALIGNING INDICATORS: WHY IT MATTERS
    • THE AGGREGATE MEASURE OF “ADDITIONAL USERS” BASED ON HOUSEHOLD SURVEYS AND MODEL-BASED ESTIMATES
    • LINKING INDIVIDUAL CLIENT AND VISIT DATA FROM ROUTINE SERVICE STATISTICS WITH THE AGGREGATE MEASURE OF “ADDITIONAL USERS”
    • FINAL REFLECTIONS
    • Acknowledgments
    • Notes
    • REFERENCES
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