PittsburghV1, France, Analysis, bibRecord, 000312

The benefits of redesigning Benin's vaccine supply chain

Identifieur interne : 000312 ( France/Analysis ); précédent : 000311; suivant : 000313

The benefits of redesigning Benin's vaccine supply chain

Auteurs : Shawn T. Brown [États-Unis] ; Benjamin Schreiber [États-Unis] ; Brigid E. Cakouros [États-Unis] ; Angela R. Wateska [États-Unis] ; Hamadou M. Dicko [France, Bénin] ; Diana L. Connor [États-Unis] ; Philippe Jaillard [France, Bénin] ; Mercy Mvundura [États-Unis] ; Bryan A. Norman [États-Unis] ; Carol Levin [États-Unis] ; Jayant Rajgopal [États-Unis] ; Mélanie Avella [France, Bénin] ; Caroline Lebrun [France, Bénin] ; Erin Claypool [États-Unis] ; Proma Paul [États-Unis] ; Bruce Y. Lee [États-Unis]

Source :

Vaccine [ 0264-410X ] ; 2014.

RBID : Pascal:14-0163594

Descripteurs français

Pascal (Inist)
- Bénin, Vaccin, Modélisation.
Wicri :
- geographic : Bénin.
- topic : Vaccin.

English descriptors

KwdEn :
- Benin, Modeling, Vaccine.

Abstract

Introduction: New vaccine introductions have put strains on vaccine supply chains around the world. While increasing storage and transportation may be the most straightforward options, it is also important to consider what financial and operational benefits can be incurred. In 2012, suboptimal vaccine coverage and impending vaccine introductions prompted the Republic of Benin's Ministry of Health (MOH) to explore ways to improve their vaccine supply chain. Methods: Working alongside the Beninese MOH, we utilized our computational model, HERMES, to explore the impact on cost and vaccine availability of three possible options: (1) consolidating the Commune level to a Health Zone level, (2) removing the Commune level completely, and (3) removing the Commune level and expanding to 12 Department Stores. We also analyzed the impact of adding shipping loops during delivery. Results: At baseline, new vaccine introductions without any changes to the current system increased the logistics cost per dose ($0.23 to $0.26) and dropped the vaccine availability to 71%. While implementing the Commune level removal scenario had the same capital costs as implementing the Health Zone scenario, the Health Zone scenario had lower operating costs. This increased to an overall cost savings of $504,255 when implementing shipping loops. Discussion: The best redesign option proved to be the synergistic approach of converting to the Health Zone design and using shipping loops (serving ten Health Posts/loop). While a transition to either redesign or only adding shipping loops was beneficial, implementing a redesign option and shipping loops can yield both lower capital expenditures and operating costs.

Affiliations:

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Pascal:14-0163594

Le document en format XML

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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">The benefits of redesigning Benin's vaccine supply chain</title>
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<author><name sortKey="Levin, Carol" sort="Levin, Carol" uniqKey="Levin C" first="Carol" last="Levin">Carol Levin</name>
<affiliation wicri:level="4"><inist:fA14 i1="08"><s1>University of Washington</s1>
<s2>Seattle, WA</s2>
<s3>USA</s3>
<sZ>10 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Seattle</settlement>
<region type="state">Washington (État)</region>
</placeName>
<orgName type="university">Université de Washington</orgName>
</affiliation>
</author>
<author><name sortKey="Rajgopal, Jayant" sort="Rajgopal, Jayant" uniqKey="Rajgopal J" first="Jayant" last="Rajgopal">Jayant Rajgopal</name>
<affiliation wicri:level="4"><inist:fA14 i1="07"><s1>University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>9 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>14 aut.</sZ>
<sZ>15 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author><name sortKey="Avella, Melanie" sort="Avella, Melanie" uniqKey="Avella M" first="Mélanie" last="Avella">Mélanie Avella</name>
<affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Agence de Médicine Préventive (AMP)</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>5 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1"><inist:fA14 i1="05"><s1>Agence de Médicine Préventive (AMP)</s1>
<s2>Cotonou</s2>
<s3>BEN</s3>
<sZ>5 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
</inist:fA14>
<country>Bénin</country>
<wicri:noRegion>Agence de Médicine Préventive (AMP)</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Lebrun, Caroline" sort="Lebrun, Caroline" uniqKey="Lebrun C" first="Caroline" last="Lebrun">Caroline Lebrun</name>
<affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Agence de Médicine Préventive (AMP)</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>5 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1"><inist:fA14 i1="05"><s1>Agence de Médicine Préventive (AMP)</s1>
<s2>Cotonou</s2>
<s3>BEN</s3>
<sZ>5 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
</inist:fA14>
<country>Bénin</country>
<wicri:noRegion>Agence de Médicine Préventive (AMP)</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Claypool, Erin" sort="Claypool, Erin" uniqKey="Claypool E" first="Erin" last="Claypool">Erin Claypool</name>
<affiliation wicri:level="4"><inist:fA14 i1="07"><s1>University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>9 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>14 aut.</sZ>
<sZ>15 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author><name sortKey="Paul, Proma" sort="Paul, Proma" uniqKey="Paul P" first="Proma" last="Paul">Proma Paul</name>
<affiliation wicri:level="4"><inist:fA14 i1="07"><s1>University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>9 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>14 aut.</sZ>
<sZ>15 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author><name sortKey="Lee, Bruce Y" sort="Lee, Bruce Y" uniqKey="Lee B" first="Bruce Y." last="Lee">Bruce Y. Lee</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Public Health Computational and Operations Research (PHICOR)</s1>
<s2>Baltimore, MD</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>16 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Public Health Computational and Operations Research (PHICOR)</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><inist:fA14 i1="09"><s1>Johns Hopkins Bloomberg School of Public Health</s1>
<s2>Baltimore, MD</s2>
<s3>USA</s3>
<sZ>16 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Johns Hopkins Bloomberg School of Public Health</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Vaccine</title>
<title level="j" type="abbreviated">Vaccine</title>
<idno type="ISSN">0264-410X</idno>
<imprint><date when="2014">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Vaccine</title>
<title level="j" type="abbreviated">Vaccine</title>
<idno type="ISSN">0264-410X</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Benin</term>
<term>Modeling</term>
<term>Vaccine</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Bénin</term>
<term>Vaccin</term>
<term>Modélisation</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Bénin</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Vaccin</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Introduction: New vaccine introductions have put strains on vaccine supply chains around the world. While increasing storage and transportation may be the most straightforward options, it is also important to consider what financial and operational benefits can be incurred. In 2012, suboptimal vaccine coverage and impending vaccine introductions prompted the Republic of Benin's Ministry of Health (MOH) to explore ways to improve their vaccine supply chain. Methods: Working alongside the Beninese MOH, we utilized our computational model, HERMES, to explore the impact on cost and vaccine availability of three possible options: (1) consolidating the Commune level to a Health Zone level, (2) removing the Commune level completely, and (3) removing the Commune level and expanding to 12 Department Stores. We also analyzed the impact of adding shipping loops during delivery. Results: At baseline, new vaccine introductions without any changes to the current system increased the logistics cost per dose ($0.23 to $0.26) and dropped the vaccine availability to 71%. While implementing the Commune level removal scenario had the same capital costs as implementing the Health Zone scenario, the Health Zone scenario had lower operating costs. This increased to an overall cost savings of $504,255 when implementing shipping loops. Discussion: The best redesign option proved to be the synergistic approach of converting to the Health Zone design and using shipping loops (serving ten Health Posts/loop). While a transition to either redesign or only adding shipping loops was beneficial, implementing a redesign option and shipping loops can yield both lower capital expenditures and operating costs.</div>
</front>
</TEI>
<affiliations><list><country><li>Bénin</li>
<li>France</li>
<li>États-Unis</li>
</country>
<region><li>Pennsylvanie</li>
<li>Washington (État)</li>
<li>Île-de-France</li>
</region>
<settlement><li>Paris</li>
<li>Pittsburgh</li>
<li>Seattle</li>
</settlement>
<orgName><li>Université de Pittsburgh</li>
<li>Université de Washington</li>
</orgName>
</list>
<tree><country name="États-Unis"><noRegion><name sortKey="Brown, Shawn T" sort="Brown, Shawn T" uniqKey="Brown S" first="Shawn T." last="Brown">Shawn T. Brown</name>
</noRegion>
<name sortKey="Cakouros, Brigid E" sort="Cakouros, Brigid E" uniqKey="Cakouros B" first="Brigid E." last="Cakouros">Brigid E. Cakouros</name>
<name sortKey="Claypool, Erin" sort="Claypool, Erin" uniqKey="Claypool E" first="Erin" last="Claypool">Erin Claypool</name>
<name sortKey="Connor, Diana L" sort="Connor, Diana L" uniqKey="Connor D" first="Diana L." last="Connor">Diana L. Connor</name>
<name sortKey="Lee, Bruce Y" sort="Lee, Bruce Y" uniqKey="Lee B" first="Bruce Y." last="Lee">Bruce Y. Lee</name>
<name sortKey="Lee, Bruce Y" sort="Lee, Bruce Y" uniqKey="Lee B" first="Bruce Y." last="Lee">Bruce Y. Lee</name>
<name sortKey="Levin, Carol" sort="Levin, Carol" uniqKey="Levin C" first="Carol" last="Levin">Carol Levin</name>
<name sortKey="Mvundura, Mercy" sort="Mvundura, Mercy" uniqKey="Mvundura M" first="Mercy" last="Mvundura">Mercy Mvundura</name>
<name sortKey="Norman, Bryan A" sort="Norman, Bryan A" uniqKey="Norman B" first="Bryan A." last="Norman">Bryan A. Norman</name>
<name sortKey="Paul, Proma" sort="Paul, Proma" uniqKey="Paul P" first="Proma" last="Paul">Proma Paul</name>
<name sortKey="Rajgopal, Jayant" sort="Rajgopal, Jayant" uniqKey="Rajgopal J" first="Jayant" last="Rajgopal">Jayant Rajgopal</name>
<name sortKey="Schreiber, Benjamin" sort="Schreiber, Benjamin" uniqKey="Schreiber B" first="Benjamin" last="Schreiber">Benjamin Schreiber</name>
<name sortKey="Wateska, Angela R" sort="Wateska, Angela R" uniqKey="Wateska A" first="Angela R." last="Wateska">Angela R. Wateska</name>
</country>
<country name="France"><region name="Île-de-France"><name sortKey="Dicko, Hamadou M" sort="Dicko, Hamadou M" uniqKey="Dicko H" first="Hamadou M." last="Dicko">Hamadou M. Dicko</name>
</region>
<name sortKey="Avella, Melanie" sort="Avella, Melanie" uniqKey="Avella M" first="Mélanie" last="Avella">Mélanie Avella</name>
<name sortKey="Jaillard, Philippe" sort="Jaillard, Philippe" uniqKey="Jaillard P" first="Philippe" last="Jaillard">Philippe Jaillard</name>
<name sortKey="Lebrun, Caroline" sort="Lebrun, Caroline" uniqKey="Lebrun C" first="Caroline" last="Lebrun">Caroline Lebrun</name>
</country>
<country name="Bénin"><noRegion><name sortKey="Dicko, Hamadou M" sort="Dicko, Hamadou M" uniqKey="Dicko H" first="Hamadou M." last="Dicko">Hamadou M. Dicko</name>
</noRegion>
<name sortKey="Avella, Melanie" sort="Avella, Melanie" uniqKey="Avella M" first="Mélanie" last="Avella">Mélanie Avella</name>
<name sortKey="Jaillard, Philippe" sort="Jaillard, Philippe" uniqKey="Jaillard P" first="Philippe" last="Jaillard">Philippe Jaillard</name>
<name sortKey="Lebrun, Caroline" sort="Lebrun, Caroline" uniqKey="Lebrun C" first="Caroline" last="Lebrun">Caroline Lebrun</name>
</country>
</tree>
</affiliations>
</record>

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The benefits of redesigning Benin's vaccine supply chain

The benefits of redesigning Benin's vaccine supply chain

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