A lung cancer research agenda that reflects the diverse perspectives of community stakeholders: process and outcomes of the SEED method View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Carlin L. Rafie, Emily B. Zimmerman, Dawn E. Moser, Sarah Cook, Fatemeh Zarghami

ABSTRACT

Plain English summary: There is a need for methods that engage lay people and other stakeholders, such as patients and healthcare providers, in developing research questions about health issues important to them and their communities. Involving stakeholders helps ensure that funding goes to research that addresses their concerns. The SEED Method engages stakeholders in a systematic process to explore health issues and develop research questions. Diverse groups of stakeholders participate at three levels: as collaborators that lead the process throughout, as participants who use their expertise to develop the questions, and as consultants who provide additional perspectives about the health topic. We used the SEED Method to engage 61 stakeholders from different socioeconomic and professional backgrounds to create research questions on lung cancer outcomes. Participants included cancer patients and caregivers, healthcare providers and administrators, and policymakers from a rural Virginia community. They developed causal models that diagrammed factors that influence lung cancer outcomes and the relationships between them. They used these models to develop priority research questions. The questions reflect the participants' diverse perspectives and address different areas of inquiry related to lung cancer outcomes, including access to care, support systems, social determinants of health, and quality of care. Participants felt well prepared to perform the project tasks because they had the opportunity to review lung cancer information, receive causal model and research question development training, and participate in facilitated group activities. The SEED Method can be used in a variety of settings and applied to any health topic of interest to stakeholders. Abstract: Background Engagement of stakeholders in prioritization of health research can help ensure that funding is directed to research that reflects their concerns and needs. The Stakeholder Engagement in quEstion Development and Prioritization (SEED) Method is a multi-stakeholder methodology that uses principles of community engagement and causal modeling to develop health research questions that reflect the priorities of patients, clinicians, and other community stakeholders. We conducted a demonstration of the SEED Method to generate research questions on lung cancer outcomes, and to evaluate the process, outcomes, and effectiveness of the method for generating a research agenda that reflects diverse stakeholder perspectives. Methods The SEED Method engages community members at three levels: collaboration, participation, and consultation. We conducted a demonstration project from November, 2015 to July, 2016, in a rural Virginia community that was experiencing a significant disparity in lung cancer outcomes. A community research team led the project and selected three distinct stakeholder groups (Topic groups, TG) for participatory engagement in analysis of the health issue, causal modeling, and research question development. We evaluated the quality of stakeholder engagement and compared TG causal models and research questions to evaluate the diversity of stakeholder perspectives resulting from the methodology. Results The resulting research agenda poses questions on how a broad range of topics including access to care, support systems and coping mechanisms, social determinants of health, and quality of care impacts lung cancer outcomes. Participants felt well prepared for the tasks they were asked to perform due to the technical trainings and facilitated modeling and question development activities that are part of the SEED Method. The causal models and research questions developed by the Topic Groups reflected the diverse perspectives of the stakeholders. Conclusions The SEED Method has the potential to generate relevant stakeholder-centered research agendas on a variety of health-related topics, and to create community capacity for sustained research engagement. More... »

PAGES

3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40900-018-0134-y

DOI

http://dx.doi.org/10.1186/s40900-018-0134-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111366947

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30656063


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Virginia Tech", 
          "id": "https://www.grid.ac/institutes/grid.438526.e", 
          "name": [
            "Department of Human Nutrition, Foods and Exercise, Virginia Polytechnic Institute and State University, 321 Wallace Hall (0430), 295 West Campus Drive, 24061, Blacksburg, Virginia, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rafie", 
        "givenName": "Carlin L.", 
        "id": "sg:person.01077245407.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077245407.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Virginia Commonwealth University", 
          "id": "https://www.grid.ac/institutes/grid.224260.0", 
          "name": [
            "Center on Society and Health, Virginia Commonwealth University, 830 East Main St., Suite 5032, P.O. Box 980212, 23298-0159, Richmond, Virginia, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zimmerman", 
        "givenName": "Emily B.", 
        "id": "sg:person.0753533512.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753533512.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "24112, Martinsville, Virginia, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moser", 
        "givenName": "Dawn E.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vanderbilt University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.412807.8", 
          "name": [
            "Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, 2525 West End Ave, 37203, Nashville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cook", 
        "givenName": "Sarah", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Virginia Tech", 
          "id": "https://www.grid.ac/institutes/grid.438526.e", 
          "name": [
            "Department of Human Nutrition, Foods and Exercise, Virginia Polytechnic Institute and State University, 321 Wallace Hall (0430), 295 West Campus Drive, 24061, Blacksburg, Virginia, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zarghami", 
        "givenName": "Fatemeh", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1136/jech.2005.036913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000979753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1369-6513.2002.00161.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008185177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/her/cyr087", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008908409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amepre.2013.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012428798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40900-016-0026-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012731680", 
          "https://doi.org/10.1186/s40900-016-0026-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1468-0009.t01-1-00060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015980289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1468-0009.t01-1-00060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015980289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-publhealth-031811-124534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023398127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.319.7212.774", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023506209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0277-9536(93)90138-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031573530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1368980016002056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040198435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.publhealth.19.1.173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049649312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11606-012-2037-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050178961", 
          "https://doi.org/10.1007/s11606-012-2037-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.2010.0675", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051581166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/fampra/cmw104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059580274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3310/hta8150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071139773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amepre.2017.01.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084057276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13012-017-0625-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090939804", 
          "https://doi.org/10.1186/s13012-017-0625-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13012-017-0625-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090939804", 
          "https://doi.org/10.1186/s13012-017-0625-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.31478/201406a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105003747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0000000000000785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105971134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0000000000000785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105971134"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Plain English summary: There is a need for methods that engage lay people and other stakeholders, such as patients and healthcare providers, in developing research questions about health issues important to them and their communities. Involving stakeholders helps ensure that funding goes to research that addresses their concerns. The SEED Method engages stakeholders in a systematic process to explore health issues and develop research questions. Diverse groups of stakeholders participate at three levels: as collaborators that lead the process throughout, as participants who use their expertise to develop the questions, and as consultants who provide additional perspectives about the health topic. We used the SEED Method to engage 61 stakeholders from different socioeconomic and professional backgrounds to create research questions on lung cancer outcomes. Participants included cancer patients and caregivers, healthcare providers and administrators, and policymakers from a rural Virginia community. They developed causal models that diagrammed factors that influence lung cancer outcomes and the relationships between them. They used these models to develop priority research questions. The questions reflect the participants' diverse perspectives and address different areas of inquiry related to lung cancer outcomes, including access to care, support systems, social determinants of health, and quality of care. Participants felt well prepared to perform the project tasks because they had the opportunity to review lung cancer information, receive causal model and research question development training, and participate in facilitated group activities. The SEED Method can be used in a variety of settings and applied to any health topic of interest to stakeholders.\nAbstract: Background Engagement of stakeholders in prioritization of health research can help ensure that funding is directed to research that reflects their concerns and needs. The Stakeholder Engagement in quEstion Development and Prioritization (SEED) Method is a multi-stakeholder methodology that uses principles of community engagement and causal modeling to develop health research questions that reflect the priorities of patients, clinicians, and other community stakeholders. We conducted a demonstration of the SEED Method to generate research questions on lung cancer outcomes, and to evaluate the process, outcomes, and effectiveness of the method for generating a research agenda that reflects diverse stakeholder perspectives. Methods The SEED Method engages community members at three levels: collaboration, participation, and consultation. We conducted a demonstration project from November, 2015 to July, 2016, in a rural Virginia community that was experiencing a significant disparity in lung cancer outcomes. A community research team led the project and selected three distinct stakeholder groups (Topic groups, TG) for participatory engagement in analysis of the health issue, causal modeling, and research question development. We evaluated the quality of stakeholder engagement and compared TG causal models and research questions to evaluate the diversity of stakeholder perspectives resulting from the methodology. Results The resulting research agenda poses\u00a0questions on how\u00a0a broad range of topics including access to care, support systems and coping mechanisms, social determinants of health, and quality of care impacts lung cancer outcomes. Participants felt well prepared for the tasks they were asked to perform due to the technical trainings and facilitated modeling and question development activities that are part of the SEED Method. The causal models and research questions developed by the Topic Groups reflected the diverse perspectives of the stakeholders. Conclusions The SEED Method has the potential to generate relevant stakeholder-centered research agendas on a variety of health-related topics, and to create community capacity for sustained research engagement.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40900-018-0134-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136352", 
        "issn": [
          "2056-7529"
        ], 
        "name": "Research Involvement and Engagement", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "A lung cancer research agenda that reflects the diverse perspectives of community stakeholders: process and outcomes of the SEED method", 
    "pagination": "3", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8d048bbfadd040b2928202bfb49e0f08460c83f99aa8c152cea4eaf0a3d246bd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30656063"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101708164"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40900-018-0134-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111366947"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40900-018-0134-y", 
      "https://app.dimensions.ai/details/publication/pub.1111366947"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000321_0000000321/records_74925_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40900-018-0134-y"
  }
]
 

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/s40900-018-0134-y'

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/s40900-018-0134-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40900-018-0134-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40900-018-0134-y'


 

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

161 TRIPLES      21 PREDICATES      48 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40900-018-0134-y schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N2dd5fd4a26c74b9ebac9be61d944dd69
4 schema:citation sg:pub.10.1007/s11606-012-2037-1
5 sg:pub.10.1186/s13012-017-0625-5
6 sg:pub.10.1186/s40900-016-0026-y
7 https://doi.org/10.1016/0277-9536(93)90138-t
8 https://doi.org/10.1016/j.amepre.2013.10.026
9 https://doi.org/10.1016/j.amepre.2017.01.034
10 https://doi.org/10.1017/s1368980016002056
11 https://doi.org/10.1046/j.1369-6513.2002.00161.x
12 https://doi.org/10.1093/fampra/cmw104
13 https://doi.org/10.1093/her/cyr087
14 https://doi.org/10.1097/mlr.0000000000000785
15 https://doi.org/10.1111/1468-0009.t01-1-00060
16 https://doi.org/10.1136/bmj.319.7212.774
17 https://doi.org/10.1136/jech.2005.036913
18 https://doi.org/10.1146/annurev-publhealth-031811-124534
19 https://doi.org/10.1146/annurev.publhealth.19.1.173
20 https://doi.org/10.1377/hlthaff.2010.0675
21 https://doi.org/10.31478/201406a
22 https://doi.org/10.3310/hta8150
23 schema:datePublished 2019-12
24 schema:datePublishedReg 2019-12-01
25 schema:description Plain English summary: There is a need for methods that engage lay people and other stakeholders, such as patients and healthcare providers, in developing research questions about health issues important to them and their communities. Involving stakeholders helps ensure that funding goes to research that addresses their concerns. The SEED Method engages stakeholders in a systematic process to explore health issues and develop research questions. Diverse groups of stakeholders participate at three levels: as collaborators that lead the process throughout, as participants who use their expertise to develop the questions, and as consultants who provide additional perspectives about the health topic. We used the SEED Method to engage 61 stakeholders from different socioeconomic and professional backgrounds to create research questions on lung cancer outcomes. Participants included cancer patients and caregivers, healthcare providers and administrators, and policymakers from a rural Virginia community. They developed causal models that diagrammed factors that influence lung cancer outcomes and the relationships between them. They used these models to develop priority research questions. The questions reflect the participants' diverse perspectives and address different areas of inquiry related to lung cancer outcomes, including access to care, support systems, social determinants of health, and quality of care. Participants felt well prepared to perform the project tasks because they had the opportunity to review lung cancer information, receive causal model and research question development training, and participate in facilitated group activities. The SEED Method can be used in a variety of settings and applied to any health topic of interest to stakeholders. Abstract: Background Engagement of stakeholders in prioritization of health research can help ensure that funding is directed to research that reflects their concerns and needs. The Stakeholder Engagement in quEstion Development and Prioritization (SEED) Method is a multi-stakeholder methodology that uses principles of community engagement and causal modeling to develop health research questions that reflect the priorities of patients, clinicians, and other community stakeholders. We conducted a demonstration of the SEED Method to generate research questions on lung cancer outcomes, and to evaluate the process, outcomes, and effectiveness of the method for generating a research agenda that reflects diverse stakeholder perspectives. Methods The SEED Method engages community members at three levels: collaboration, participation, and consultation. We conducted a demonstration project from November, 2015 to July, 2016, in a rural Virginia community that was experiencing a significant disparity in lung cancer outcomes. A community research team led the project and selected three distinct stakeholder groups (Topic groups, TG) for participatory engagement in analysis of the health issue, causal modeling, and research question development. We evaluated the quality of stakeholder engagement and compared TG causal models and research questions to evaluate the diversity of stakeholder perspectives resulting from the methodology. Results The resulting research agenda poses questions on how a broad range of topics including access to care, support systems and coping mechanisms, social determinants of health, and quality of care impacts lung cancer outcomes. Participants felt well prepared for the tasks they were asked to perform due to the technical trainings and facilitated modeling and question development activities that are part of the SEED Method. The causal models and research questions developed by the Topic Groups reflected the diverse perspectives of the stakeholders. Conclusions The SEED Method has the potential to generate relevant stakeholder-centered research agendas on a variety of health-related topics, and to create community capacity for sustained research engagement.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree true
29 schema:isPartOf N0b2ef895030b47b6b6cfb0395ae2fbb8
30 Ne3a58cda64ed48b98bab34becbca8594
31 sg:journal.1136352
32 schema:name A lung cancer research agenda that reflects the diverse perspectives of community stakeholders: process and outcomes of the SEED method
33 schema:pagination 3
34 schema:productId N2354f1d2dc4144adb158ddae4d3b9461
35 N838416aa65734e9886dd2442a5a81c86
36 Nb3c6608d306148e98c4cd7f738eb4e80
37 Nb64b3cd33c704f76a976fb2013be113a
38 Ndd1424760dac40f98617e9dadc027bd5
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111366947
40 https://doi.org/10.1186/s40900-018-0134-y
41 schema:sdDatePublished 2019-04-11T08:42
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher N7f095d1d14e64332a8b625aade9f97e1
44 schema:url https://link.springer.com/10.1186%2Fs40900-018-0134-y
45 sgo:license sg:explorer/license/
46 sgo:sdDataset articles
47 rdf:type schema:ScholarlyArticle
48 N0b2ef895030b47b6b6cfb0395ae2fbb8 schema:issueNumber 1
49 rdf:type schema:PublicationIssue
50 N136685a5998c44c7a70db707104f1363 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
51 schema:familyName Zarghami
52 schema:givenName Fatemeh
53 rdf:type schema:Person
54 N2354f1d2dc4144adb158ddae4d3b9461 schema:name readcube_id
55 schema:value 8d048bbfadd040b2928202bfb49e0f08460c83f99aa8c152cea4eaf0a3d246bd
56 rdf:type schema:PropertyValue
57 N2dd5fd4a26c74b9ebac9be61d944dd69 rdf:first sg:person.01077245407.74
58 rdf:rest N763a4b82e30143dcbf0f6a44ad55bcbd
59 N3c9df2d8c3c44391b2ca1d5285845fa0 rdf:first N136685a5998c44c7a70db707104f1363
60 rdf:rest rdf:nil
61 N753a0e708e874c30a2a17104518310c9 schema:name 24112, Martinsville, Virginia, USA
62 rdf:type schema:Organization
63 N763a4b82e30143dcbf0f6a44ad55bcbd rdf:first sg:person.0753533512.24
64 rdf:rest Na066386841e64c6db08e0a0a8a559cd5
65 N7f095d1d14e64332a8b625aade9f97e1 schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N838416aa65734e9886dd2442a5a81c86 schema:name dimensions_id
68 schema:value pub.1111366947
69 rdf:type schema:PropertyValue
70 N881324992e964c86b096b8a249a669aa schema:affiliation N753a0e708e874c30a2a17104518310c9
71 schema:familyName Moser
72 schema:givenName Dawn E.
73 rdf:type schema:Person
74 Na066386841e64c6db08e0a0a8a559cd5 rdf:first N881324992e964c86b096b8a249a669aa
75 rdf:rest Nde04825ae0ef465babf104eb5ed236dd
76 Nb3c6608d306148e98c4cd7f738eb4e80 schema:name pubmed_id
77 schema:value 30656063
78 rdf:type schema:PropertyValue
79 Nb64b3cd33c704f76a976fb2013be113a schema:name nlm_unique_id
80 schema:value 101708164
81 rdf:type schema:PropertyValue
82 Ndd1424760dac40f98617e9dadc027bd5 schema:name doi
83 schema:value 10.1186/s40900-018-0134-y
84 rdf:type schema:PropertyValue
85 Nde04825ae0ef465babf104eb5ed236dd rdf:first Nf8892d69abc84108a386899ac162b746
86 rdf:rest N3c9df2d8c3c44391b2ca1d5285845fa0
87 Ne3a58cda64ed48b98bab34becbca8594 schema:volumeNumber 5
88 rdf:type schema:PublicationVolume
89 Nf8892d69abc84108a386899ac162b746 schema:affiliation https://www.grid.ac/institutes/grid.412807.8
90 schema:familyName Cook
91 schema:givenName Sarah
92 rdf:type schema:Person
93 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
94 schema:name Medical and Health Sciences
95 rdf:type schema:DefinedTerm
96 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
97 schema:name Public Health and Health Services
98 rdf:type schema:DefinedTerm
99 sg:journal.1136352 schema:issn 2056-7529
100 schema:name Research Involvement and Engagement
101 rdf:type schema:Periodical
102 sg:person.01077245407.74 schema:affiliation https://www.grid.ac/institutes/grid.438526.e
103 schema:familyName Rafie
104 schema:givenName Carlin L.
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077245407.74
106 rdf:type schema:Person
107 sg:person.0753533512.24 schema:affiliation https://www.grid.ac/institutes/grid.224260.0
108 schema:familyName Zimmerman
109 schema:givenName Emily B.
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753533512.24
111 rdf:type schema:Person
112 sg:pub.10.1007/s11606-012-2037-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050178961
113 https://doi.org/10.1007/s11606-012-2037-1
114 rdf:type schema:CreativeWork
115 sg:pub.10.1186/s13012-017-0625-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090939804
116 https://doi.org/10.1186/s13012-017-0625-5
117 rdf:type schema:CreativeWork
118 sg:pub.10.1186/s40900-016-0026-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1012731680
119 https://doi.org/10.1186/s40900-016-0026-y
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/0277-9536(93)90138-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1031573530
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.amepre.2013.10.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012428798
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.amepre.2017.01.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084057276
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1017/s1368980016002056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040198435
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1046/j.1369-6513.2002.00161.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008185177
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1093/fampra/cmw104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059580274
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1093/her/cyr087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008908409
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1097/mlr.0000000000000785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105971134
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1111/1468-0009.t01-1-00060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015980289
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1136/bmj.319.7212.774 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023506209
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1136/jech.2005.036913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000979753
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1146/annurev-publhealth-031811-124534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023398127
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1146/annurev.publhealth.19.1.173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049649312
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1377/hlthaff.2010.0675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051581166
148 rdf:type schema:CreativeWork
149 https://doi.org/10.31478/201406a schema:sameAs https://app.dimensions.ai/details/publication/pub.1105003747
150 rdf:type schema:CreativeWork
151 https://doi.org/10.3310/hta8150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071139773
152 rdf:type schema:CreativeWork
153 https://www.grid.ac/institutes/grid.224260.0 schema:alternateName Virginia Commonwealth University
154 schema:name Center on Society and Health, Virginia Commonwealth University, 830 East Main St., Suite 5032, P.O. Box 980212, 23298-0159, Richmond, Virginia, USA
155 rdf:type schema:Organization
156 https://www.grid.ac/institutes/grid.412807.8 schema:alternateName Vanderbilt University Medical Center
157 schema:name Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, 2525 West End Ave, 37203, Nashville, TN, USA
158 rdf:type schema:Organization
159 https://www.grid.ac/institutes/grid.438526.e schema:alternateName Virginia Tech
160 schema:name Department of Human Nutrition, Foods and Exercise, Virginia Polytechnic Institute and State University, 321 Wallace Hall (0430), 295 West Campus Drive, 24061, Blacksburg, Virginia, USA
161 rdf:type schema:Organization
 




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


...