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ORIGINAL ARTICLE
Open Access

Are Procured Quantities of Implants Adequate and Appropriate? Modeling Procurement, Inventory, and Consumption of Contraceptive Implants During Rapid Uptake

Laila Akhlaghi, Alexis Heaton and Yasmin Chandani
Global Health: Science and Practice June 2019, 7(2):240-257; https://doi.org/10.9745/GHSP-D-19-00017
Laila Akhlaghi
aJohn Snow, Inc., Arlington, VA, USA.
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  • For correspondence: laila_akhlaghi{at}jsi.com
Alexis Heaton
aJohn Snow, Inc., Arlington, VA, USA.
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Yasmin Chandani
binSupply Health LTD, Nairobi, Kenya.
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Figures & Tables

Figures

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  • FIGURE 1
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    FIGURE 1

    Imputed Inventory, Ethiopia Model as an Example

  • FIGURE 2
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    FIGURE 2

    Calculated Filled to Max Inventory, Ethiopia Model as an Example

  • FIGURE 3
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    FIGURE 3

    Deficit and Surplus of System Imputed Inventory Compared With System Inventory Filled to Max

    White bars represent surplus; black bars represent deficit.

  • FIGURE 4
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    FIGURE 4

    Pictorial Depiction of Maximum Inventory Needs (System and Level) and Flow Through In-Country Supply Chain With Growing Demand in a Sample Country

  • FIGURE 5
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    FIGURE 5

    Procurement Quantity Accuracy Based on Maximum Quantities Required to Fill the Supply Chain

    Abbreviation: SD, standard deviation (average + SD is shown with the top horizontal line while average − SD is shown with the lower horizontal line).

    Note: Uganda, which appears to have a very high overstocking of implants, is plotted on a separate, secondary y-axis to avoid obscuring the differences for the other countries.

    *Dispensed-to-client data were incorporated in the analysis.

  • FIGURE 6
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    FIGURE 6

    Inventory Needs in a Month as a Percentage of Consumption in the Same Month

    Abbreviation: SD, standard deviation.

  • FIGURE 7
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    FIGURE 7

    Calculated Consumption (Using Demographic Estimates) as a Percentage of Dispensed-to-User Data

    Abbreviation: SD, standard deviation.

  • FIGURE 8
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    FIGURE 8

    Burkina Faso Scatter Plot of PipeLine Reported System Inventory and Imputed Ending Balance for the Same Reporting Months

Tables

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    TABLE 1.

    Source and Dates for Distribution-to-Client Data

    CountrySource of Direct-to-Client Distribution of ImplantsPeriod Covering Direct-to-Client Distribution DataPeriod Using Demographic Estimates Instead of Distribution-to-Client Data
    Burkina FasoPipeLine databaseJanuary 2010–June 2017n/a
    Ethiopian/an/aJanuary 2011–December 2017
    GhanaDHIMSJanuary 2010–December 2010 andJanuary 2011–December 2011
    January 2012–December 2017
    KenyaDHIS 2January 2012–December 2017January 2010–December 2011
    PakistaneLMISJanuary 2010–December 2017n/a
    TanzaniaeLMISAug 2013–December 2017January 2011–July 2013
    Ugandan/an/aJanuary 2010–December 2017
    Country AaAnnual Statistical SurveySeptember 2014–December 2017January 2010–August 2014
    Country BaPipeLine databaseJanuary 2010–December 2017n/a
    • Abbreviations: DHIMS, district health information management system; DHIS 2, District Health Information System 2; eLMIS, electronic logistics management information system.

    • ↵a Two countries have been anonymized to enable inclusion of their data in this article.

    • View popup
    TABLE 2.

    Inventory Policy on Maximum Months of Stock Holdings for Each Level of the Supply Chain as Determined by Each Country's Supply Chain Design

    LevelBurkina FasoEthiopiaGhanaKenyaPakistanTanzaniaUgandaCountry ACountry B
    Central medical stores15 (combined)512301496129
    Regional/hubs level46n/an/an/an/a6
    District level54n/an/a36n/a43
    SDPs24321n/a422
    Health postsn/a2n/an/an/an/an/an/an/a
    System total221921321815102414
    System total used in model221821301815102414
    • Abbreviations: n/a, not applicable; SDPs, service delivery points.

    • View popup
    TABLE 3.

    Couple Years of Protection13 and Conversion Factors

    Implant BrandCYPs/ImplantCYPCF
    Etonogestrel, 1-rod (Implanon/Implanon NXT)2.51/2.5 = 0.4
    Levonorgestrel, 2-rod (Jadelle)3.81/3.8 = 0.26
    • Abbreviations: CF, conversion factor; CYP, couple year of protection.

    • View popup
    TABLE 4.

    Period of Time Used to Answer Research Questions 1 and 2

    CountryDemographic and/or Dispensed to Client Data CollectedMonthly Model Results Used in Analysis
    Burkina FasoJanuary 2010–December 2017January 2010–August 2015
    EthiopiaJanuary 2011–January 2016January 2011–July 2014
    GhanaJanuary 2010–December 2017January 2010–February 2016
    KenyaJanuary 2010–December 2017January 2010–June 2015
    TanzaniaJanuary 2011–December 2017January 2011–September 2016
    PakistanJanuary 2010–December 2017January 2010–June 2016
    UgandaJanuary 2010–December 2017January 2010–December 2015
    Country AJanuary 2010–December 2017January 2010–December 2015
    Country BJanuary 2010–December 2017January 2010–April 2016
    • View popup
    TABLE 5.

    Comparison of Procurement Quantity Accuracy Figures Based on Use of Dispensed-to-Client Dataa

    CountryAverage Procurement Quantity Error
    No Dispensed-to-Client Data Used in Model (Only Demographic Estimates Used)Dispensed-to-Client Data Used, if Available, in Model
    Burkina Faso−29%−83%
    Ghana−23%−39%
    Kenya−111%−112%
    Tanzania51%−56%
    Country A−7%55%
    Country B112%−4%
    • ↵a Bolded figures indicate the appearance of more accurate result, and negative figures represent under-procurement.

    • View popup
    APPENDIX

    Demographic Data Used in Estimation of Implant Users

    CountryData SourceAll WomenPublic-Sector and NGO Source Mix
    mCPRImplant CPRImplant Share of Method Mix
    Burkina FasoDHS 201014.32.992
    PMA-R1 201415.743.4
    PMA-R2 201518.634.9
    PMA-R3 201621.541.9
    PMA-R4 201721.943.4
    EthiopiaDHS 201118.72.394
    PMA-R1 201422.515.6
    PMA-R2 201423.820.4
    PMA-R3 201525.620.2
    PMA-R4 201626.522.9
    DHS 201624.95.796.8
    GhanaDHS 200813.50.785.4
    PMA-R1 201314.313.3
    PMA-R2 201414.614.1
    DHS 201418.23.794.1
    PMA-R3 201418.112.6
    PMA-R4 201523.414.9
    PMA-R5 201621.718.3
    PMA-R6 201621.323.4
    KenyaDHS 2008281.381
    DHS 201439.17.182.1
    PMA-R1 201442.518.3
    PMA-R2 201440.318
    PMA-R3v201546.521.1
    PMA-R4 20164623.9
    PMA-R5 201644.227.6
    PMA-R6 2017
    PakistanDHS 2006-200721.70.1eLMIS data by month
    DHS 2012-201326.10
    TanzaniaDHS 201023.61.894.8
    DHS 2015-201627.15.697.8
    UgandaDHS 201120.71.987.5
    PMA-R1 20142111.9
    PMA-R2 201526.212.5
    PMA-R3 201525.914.3
    PMA-R4 201627.513.1
    DHS 201627.34.784
    Country ADHS 20064.50n/a (100% used)
    DHS 2012110.3n/a (100% used)
    PMA-R2 201612.617.6
    Country BDHS 2007-200816.30.9
    DHS 201025.23.694.8
    DHS 2014-1527.84.792
    • Abbreviations: CPR, contraceptive prevalence rate; DHS, Demographic and Health Survey; eLMIS, electronic logistics management information system; mCPR, modern contraceptive prevalence rate; n/a, not applicable; PMA, Performance Monitoring and Accountability.

Additional Files

  • Figures
  • Tables
  • Supplemental material

    Files in this Data Supplement:

    • SUPPLEMENT 1. Calculation of System Imputed, Filled-to-Max Inventory, and Percentage Difference: Ethiopia as an Example
    • SUPPLEMENT 2. Inventory Needs in a Month as a Percentage of Consumption
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Global Health: Science and Practice: 7 (2)
Global Health: Science and Practice
Vol. 7, No. 2
June 24, 2019
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Are Procured Quantities of Implants Adequate and Appropriate? Modeling Procurement, Inventory, and Consumption of Contraceptive Implants During Rapid Uptake
Laila Akhlaghi, Alexis Heaton, Yasmin Chandani
Global Health: Science and Practice Jun 2019, 7 (2) 240-257; DOI: 10.9745/GHSP-D-19-00017

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Are Procured Quantities of Implants Adequate and Appropriate? Modeling Procurement, Inventory, and Consumption of Contraceptive Implants During Rapid Uptake
Laila Akhlaghi, Alexis Heaton, Yasmin Chandani
Global Health: Science and Practice Jun 2019, 7 (2) 240-257; DOI: 10.9745/GHSP-D-19-00017
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