The Human Resources for Health Effort Index: a tool to assess and inform Strategic Health Workforce Investments View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-07-19

AUTHORS

Alfredo L. Fort, Rachel Deussom, Randi Burlew, Kate Gilroy, David Nelson

ABSTRACT

BackgroundDespite its importance, the field of human resources for health (HRH) has lagged in developing methods to measure its status and progress in low- and middle-income countries suffering a workforce crisis. Measures of professional health worker densities and distribution are purely numerical, unreliable, and do not represent the full spectrum of workers providing health services. To provide more information on the multi-dimensional characteristics of human resources for health, in 2013–2014, the global USAID-funded CapacityPlus project, led by IntraHealth International, developed and tested a 79-item HRH Effort Index modeled after the widely used Family Planning Effort Index.MethodsThe index includes seven recognized HRH dimensions: Leadership and Advocacy; Policy and Governance; Finance; Education and Training; Recruitment, Distribution, and Retention; Human Resources Management; and Monitoring, Evaluation, and Information Systems. Each item is scored from 1 to 10 and scores are averaged with equal weights for each dimension and overall. The questionnaire is applied to knowledgeable informants from public, nongovernmental organization, and private sectors in each country. A pilot test among 49 respondents in Kenya and Nigeria provided useful information to improve, combine, and streamline questions. CapacityPlus applied the revised 50-item questionnaire in 2015 in Burkina Faso, Dominican Republic, Ghana, and Mali, among 92 respondents. Additionally, the index was applied subnationally in the Dominican Republic (16 respondents) and in a consensus-building meeting in Mali (43 respondents) after the national application.ResultsThe results revealed a range of scores between 3.7 and 6.2 across dimensions, for overall scores between 4.8 and 5.5. Dimensions with lower scores included Recruitment, Distribution, and Retention, while Leadership and Advocacy had higher scores.ConclusionsThe tool proved to be well understood and provided key qualitative information on the health workforce to assist in health systems strengthening. It is expected that subsequent applications should provide more information for comparison purposes, to refine aspects of the questionnaire and to correlate scores with measures of service outputs and outcomes. More... »

PAGES

47

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12960-017-0223-2

DOI

http://dx.doi.org/10.1186/s12960-017-0223-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090822774

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28724381


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Developing Countries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Personnel", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Planning", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Workforce", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Staff Development", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "IMA World Health, Washington, DC, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "IMA World Health, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fort", 
        "givenName": "Alfredo L.", 
        "id": "sg:person.0764562611.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764562611.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "FHI360, Washington, DC, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "FHI360, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deussom", 
        "givenName": "Rachel", 
        "id": "sg:person.013445222713.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013445222713.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Philliber Research and Evaluation, Accord, NY, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Philliber Research and Evaluation, Accord, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Burlew", 
        "givenName": "Randi", 
        "id": "sg:person.01200737334.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200737334.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maternal and Child Survival Program, Washington, DC, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Maternal and Child Survival Program, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gilroy", 
        "givenName": "Kate", 
        "id": "sg:person.0640635103.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640635103.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "IntraHealth International, Chapel Hill, NC, USA", 
          "id": "http://www.grid.ac/institutes/grid.420367.4", 
          "name": [
            "IntraHealth International, Chapel Hill, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nelson", 
        "givenName": "David", 
        "id": "sg:person.01057107234.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057107234.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1478-4491-4-20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043674165", 
          "https://doi.org/10.1186/1478-4491-4-20"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-07-19", 
    "datePublishedReg": "2017-07-19", 
    "description": "BackgroundDespite its importance, the field of human resources for health (HRH) has lagged in developing methods to measure its status and progress in low- and middle-income countries suffering a workforce crisis. Measures of professional health worker densities and distribution are purely numerical, unreliable, and do not represent the full spectrum of workers providing health services. To provide more information on the multi-dimensional characteristics of human resources for health, in 2013\u20132014, the global USAID-funded CapacityPlus project, led by IntraHealth International, developed and tested a 79-item HRH Effort Index modeled after the widely used Family Planning Effort Index.MethodsThe index includes seven recognized HRH dimensions: Leadership and Advocacy; Policy and Governance; Finance; Education and Training; Recruitment, Distribution, and Retention; Human Resources Management; and Monitoring, Evaluation, and Information Systems. Each item is scored from 1 to 10 and scores are averaged with equal weights for each dimension and overall. The questionnaire is applied to knowledgeable informants from public, nongovernmental organization, and private sectors in each country. A pilot test among 49 respondents in Kenya and Nigeria provided useful information to improve, combine, and streamline questions. CapacityPlus applied the revised 50-item questionnaire in 2015 in Burkina Faso, Dominican Republic, Ghana, and Mali, among 92 respondents. Additionally, the index was applied subnationally in the Dominican Republic (16 respondents) and in a consensus-building meeting in Mali (43 respondents) after the national application.ResultsThe results revealed a range of scores between 3.7 and 6.2 across dimensions, for overall scores between 4.8 and 5.5. Dimensions with lower scores included Recruitment, Distribution, and Retention, while Leadership and Advocacy had higher scores.ConclusionsThe tool proved to be well understood and provided key qualitative information on the health workforce to assist in health systems strengthening. It is expected that subsequent applications should provide more information for comparison purposes, to refine aspects of the questionnaire and to correlate scores with measures of service outputs and outcomes.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12960-017-0223-2", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1032052", 
        "issn": [
          "0859-8037", 
          "1478-4491"
        ], 
        "name": "Human Resources for Health", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "keywords": [
      "human resources", 
      "Dominican Republic", 
      "nongovernmental organizations", 
      "private sector", 
      "IntraHealth International", 
      "workforce investment", 
      "workforce crisis", 
      "human resource management", 
      "health workforce", 
      "service output", 
      "health worker density", 
      "effort index", 
      "advocacy", 
      "middle-income countries", 
      "leadership", 
      "national application", 
      "resource management", 
      "Republic", 
      "countries", 
      "health services", 
      "health system", 
      "Burkina Faso", 
      "Mali", 
      "multi-dimensional characteristics", 
      "governance", 
      "resources", 
      "qualitative information", 
      "USAID", 
      "dimensions", 
      "policy", 
      "crisis", 
      "informants", 
      "respondents", 
      "finance", 
      "sector", 
      "Ghana", 
      "workforce", 
      "workers", 
      "International", 
      "education", 
      "organization", 
      "Kenya", 
      "investment", 
      "worker density", 
      "health", 
      "project", 
      "services", 
      "questions", 
      "Faso", 
      "Nigeria", 
      "meeting", 
      "equal weight", 
      "measures", 
      "information systems", 
      "aspects", 
      "more information", 
      "recruitment", 
      "importance", 
      "progress", 
      "full spectrum", 
      "purpose", 
      "questionnaire", 
      "status", 
      "training", 
      "management", 
      "tool", 
      "index", 
      "knowledgeable informants", 
      "ResultsThe results", 
      "information", 
      "output", 
      "outcomes", 
      "system", 
      "useful information", 
      "field", 
      "higher scores", 
      "comparison purposes", 
      "distribution", 
      "items", 
      "range of scores", 
      "characteristics", 
      "pilot test", 
      "lower scores", 
      "retention", 
      "evaluation", 
      "results", 
      "range", 
      "Overall", 
      "overall score", 
      "BackgroundDespite", 
      "monitoring", 
      "scores", 
      "test", 
      "subsequent application", 
      "applications", 
      "method", 
      "weight", 
      "spectra", 
      "density"
    ], 
    "name": "The Human Resources for Health Effort Index: a tool to assess and inform Strategic Health Workforce Investments", 
    "pagination": "47", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1090822774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12960-017-0223-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28724381"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12960-017-0223-2", 
      "https://app.dimensions.ai/details/publication/pub.1090822774"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_733.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12960-017-0223-2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12960-017-0223-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12960-017-0223-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12960-017-0223-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12960-017-0223-2'


 

This table displays all metadata directly associated to this object as RDF triples.

225 TRIPLES      21 PREDICATES      131 URIs      122 LITERALS      13 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12960-017-0223-2 schema:about N1ba49a553a894ad298563142fe4237e8
2 N261f408f897e4a63a512cf46f98017d1
3 N8b05201f4a4446d5a95dcf968fb2d96b
4 Na70750be2b814099938e9e576582e6ea
5 Nb182e70d87df4472912eb1eee70be2f2
6 Nd1306a7d944a44f7a1ab778434b2a1d1
7 anzsrc-for:11
8 anzsrc-for:1117
9 schema:author Nef366c22d705481ca0bdc138183ee9ea
10 schema:citation sg:pub.10.1186/1478-4491-4-20
11 schema:datePublished 2017-07-19
12 schema:datePublishedReg 2017-07-19
13 schema:description BackgroundDespite its importance, the field of human resources for health (HRH) has lagged in developing methods to measure its status and progress in low- and middle-income countries suffering a workforce crisis. Measures of professional health worker densities and distribution are purely numerical, unreliable, and do not represent the full spectrum of workers providing health services. To provide more information on the multi-dimensional characteristics of human resources for health, in 2013–2014, the global USAID-funded CapacityPlus project, led by IntraHealth International, developed and tested a 79-item HRH Effort Index modeled after the widely used Family Planning Effort Index.MethodsThe index includes seven recognized HRH dimensions: Leadership and Advocacy; Policy and Governance; Finance; Education and Training; Recruitment, Distribution, and Retention; Human Resources Management; and Monitoring, Evaluation, and Information Systems. Each item is scored from 1 to 10 and scores are averaged with equal weights for each dimension and overall. The questionnaire is applied to knowledgeable informants from public, nongovernmental organization, and private sectors in each country. A pilot test among 49 respondents in Kenya and Nigeria provided useful information to improve, combine, and streamline questions. CapacityPlus applied the revised 50-item questionnaire in 2015 in Burkina Faso, Dominican Republic, Ghana, and Mali, among 92 respondents. Additionally, the index was applied subnationally in the Dominican Republic (16 respondents) and in a consensus-building meeting in Mali (43 respondents) after the national application.ResultsThe results revealed a range of scores between 3.7 and 6.2 across dimensions, for overall scores between 4.8 and 5.5. Dimensions with lower scores included Recruitment, Distribution, and Retention, while Leadership and Advocacy had higher scores.ConclusionsThe tool proved to be well understood and provided key qualitative information on the health workforce to assist in health systems strengthening. It is expected that subsequent applications should provide more information for comparison purposes, to refine aspects of the questionnaire and to correlate scores with measures of service outputs and outcomes.
14 schema:genre article
15 schema:isAccessibleForFree true
16 schema:isPartOf N30fc3e93554447bbbc3bd32363af3d89
17 Nad78f553466d45eba8efb58cd71d379c
18 sg:journal.1032052
19 schema:keywords BackgroundDespite
20 Burkina Faso
21 Dominican Republic
22 Faso
23 Ghana
24 International
25 IntraHealth International
26 Kenya
27 Mali
28 Nigeria
29 Overall
30 Republic
31 ResultsThe results
32 USAID
33 advocacy
34 applications
35 aspects
36 characteristics
37 comparison purposes
38 countries
39 crisis
40 density
41 dimensions
42 distribution
43 education
44 effort index
45 equal weight
46 evaluation
47 field
48 finance
49 full spectrum
50 governance
51 health
52 health services
53 health system
54 health worker density
55 health workforce
56 higher scores
57 human resource management
58 human resources
59 importance
60 index
61 informants
62 information
63 information systems
64 investment
65 items
66 knowledgeable informants
67 leadership
68 lower scores
69 management
70 measures
71 meeting
72 method
73 middle-income countries
74 monitoring
75 more information
76 multi-dimensional characteristics
77 national application
78 nongovernmental organizations
79 organization
80 outcomes
81 output
82 overall score
83 pilot test
84 policy
85 private sector
86 progress
87 project
88 purpose
89 qualitative information
90 questionnaire
91 questions
92 range
93 range of scores
94 recruitment
95 resource management
96 resources
97 respondents
98 results
99 retention
100 scores
101 sector
102 service output
103 services
104 spectra
105 status
106 subsequent application
107 system
108 test
109 tool
110 training
111 useful information
112 weight
113 worker density
114 workers
115 workforce
116 workforce crisis
117 workforce investment
118 schema:name The Human Resources for Health Effort Index: a tool to assess and inform Strategic Health Workforce Investments
119 schema:pagination 47
120 schema:productId N56368f4e50c54ea89502474b74365d94
121 N5838d2c94d2c43efa28538196933daf0
122 N93507f06cb0347948ab0a4c2d5f1e335
123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090822774
124 https://doi.org/10.1186/s12960-017-0223-2
125 schema:sdDatePublished 2022-08-04T17:05
126 schema:sdLicense https://scigraph.springernature.com/explorer/license/
127 schema:sdPublisher N26dc2d622d6048028a877a244515f842
128 schema:url https://doi.org/10.1186/s12960-017-0223-2
129 sgo:license sg:explorer/license/
130 sgo:sdDataset articles
131 rdf:type schema:ScholarlyArticle
132 N1ba49a553a894ad298563142fe4237e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Health Personnel
134 rdf:type schema:DefinedTerm
135 N1c80efcf61a54cef9bf14bf90bc89950 rdf:first sg:person.0640635103.73
136 rdf:rest N5de049bcf3f449e1b733806469b77260
137 N261f408f897e4a63a512cf46f98017d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Health Planning
139 rdf:type schema:DefinedTerm
140 N26dc2d622d6048028a877a244515f842 schema:name Springer Nature - SN SciGraph project
141 rdf:type schema:Organization
142 N30fc3e93554447bbbc3bd32363af3d89 schema:volumeNumber 15
143 rdf:type schema:PublicationVolume
144 N3ba49b43bb7640b38a295ea2dc500dca rdf:first sg:person.01200737334.24
145 rdf:rest N1c80efcf61a54cef9bf14bf90bc89950
146 N56368f4e50c54ea89502474b74365d94 schema:name pubmed_id
147 schema:value 28724381
148 rdf:type schema:PropertyValue
149 N5838d2c94d2c43efa28538196933daf0 schema:name doi
150 schema:value 10.1186/s12960-017-0223-2
151 rdf:type schema:PropertyValue
152 N5de049bcf3f449e1b733806469b77260 rdf:first sg:person.01057107234.99
153 rdf:rest rdf:nil
154 N8b05201f4a4446d5a95dcf968fb2d96b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Developing Countries
156 rdf:type schema:DefinedTerm
157 N93507f06cb0347948ab0a4c2d5f1e335 schema:name dimensions_id
158 schema:value pub.1090822774
159 rdf:type schema:PropertyValue
160 Na70750be2b814099938e9e576582e6ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Humans
162 rdf:type schema:DefinedTerm
163 Nad78f553466d45eba8efb58cd71d379c schema:issueNumber 1
164 rdf:type schema:PublicationIssue
165 Nb182e70d87df4472912eb1eee70be2f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Health Workforce
167 rdf:type schema:DefinedTerm
168 Nd1306a7d944a44f7a1ab778434b2a1d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Staff Development
170 rdf:type schema:DefinedTerm
171 Nef366c22d705481ca0bdc138183ee9ea rdf:first sg:person.0764562611.56
172 rdf:rest Nf16e8d836ef344f18040643e24c51fb6
173 Nf16e8d836ef344f18040643e24c51fb6 rdf:first sg:person.013445222713.79
174 rdf:rest N3ba49b43bb7640b38a295ea2dc500dca
175 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
176 schema:name Medical and Health Sciences
177 rdf:type schema:DefinedTerm
178 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
179 schema:name Public Health and Health Services
180 rdf:type schema:DefinedTerm
181 sg:journal.1032052 schema:issn 0859-8037
182 1478-4491
183 schema:name Human Resources for Health
184 schema:publisher Springer Nature
185 rdf:type schema:Periodical
186 sg:person.01057107234.99 schema:affiliation grid-institutes:grid.420367.4
187 schema:familyName Nelson
188 schema:givenName David
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057107234.99
190 rdf:type schema:Person
191 sg:person.01200737334.24 schema:affiliation grid-institutes:None
192 schema:familyName Burlew
193 schema:givenName Randi
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200737334.24
195 rdf:type schema:Person
196 sg:person.013445222713.79 schema:affiliation grid-institutes:None
197 schema:familyName Deussom
198 schema:givenName Rachel
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013445222713.79
200 rdf:type schema:Person
201 sg:person.0640635103.73 schema:affiliation grid-institutes:None
202 schema:familyName Gilroy
203 schema:givenName Kate
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640635103.73
205 rdf:type schema:Person
206 sg:person.0764562611.56 schema:affiliation grid-institutes:None
207 schema:familyName Fort
208 schema:givenName Alfredo L.
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764562611.56
210 rdf:type schema:Person
211 sg:pub.10.1186/1478-4491-4-20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043674165
212 https://doi.org/10.1186/1478-4491-4-20
213 rdf:type schema:CreativeWork
214 grid-institutes:None schema:alternateName FHI360, Washington, DC, USA
215 IMA World Health, Washington, DC, USA
216 Maternal and Child Survival Program, Washington, DC, USA
217 Philliber Research and Evaluation, Accord, NY, USA
218 schema:name FHI360, Washington, DC, USA
219 IMA World Health, Washington, DC, USA
220 Maternal and Child Survival Program, Washington, DC, USA
221 Philliber Research and Evaluation, Accord, NY, USA
222 rdf:type schema:Organization
223 grid-institutes:grid.420367.4 schema:alternateName IntraHealth International, Chapel Hill, NC, USA
224 schema:name IntraHealth International, Chapel Hill, NC, USA
225 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...