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/2008/1110", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Nursing", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "The Hospital for Sick Children, Toronto, Ontario, Canada", 
          "id": "http://www.grid.ac/institutes/grid.42327.30", 
          "name": [
            "Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada", 
            "The Hospital for Sick Children, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kavanagh", 
        "givenName": "Tricia", 
        "id": "sg:person.0614560767.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0614560767.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Faculty of Medicine, University of Toronto, Canada, Toronto, Ontario", 
          "id": "http://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada", 
            "The Hospital for Sick Children, Toronto, Ontario, Canada", 
            "Faculty of Medicine, University of Toronto, Canada, Toronto, Ontario"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stevens", 
        "givenName": "Bonnie", 
        "id": "sg:person.01227740506.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227740506.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RCN Research Institute, School of Health & Social Studies, University of Warwick, Coventry, UK", 
          "id": "http://www.grid.ac/institutes/grid.7372.1", 
          "name": [
            "RCN Research Institute, School of Health & Social Studies, University of Warwick, Coventry, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seers", 
        "givenName": "Kate", 
        "id": "sg:person.01045156011.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045156011.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Nursing, Ryerson University, Toronto, Ontario, Canada", 
          "id": "http://www.grid.ac/institutes/grid.68312.3e", 
          "name": [
            "School of Nursing, Ryerson University, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sidani", 
        "givenName": "Souraya", 
        "id": "sg:person.01147510306.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147510306.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada", 
          "id": "http://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watt-Watson", 
        "givenName": "Judy", 
        "id": "sg:person.0753254233.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753254233.68"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1748-5908-2-15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011136327", 
          "https://doi.org/10.1186/1748-5908-2-15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1748-5908-1-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021360224", 
          "https://doi.org/10.1186/1748-5908-1-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1748-5908-3-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038971108", 
          "https://doi.org/10.1186/1748-5908-3-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-11-20", 
    "datePublishedReg": "2010-11-20", 
    "description": "BackgroundAppreciative inquiry (AI) is an innovative knowledge translation (KT) intervention that is compatible with the Promoting Action on Research in Health Services (PARiHS) framework. This study explored the innovative use of AI as a theoretically based KT intervention applied to a clinical issue in an inpatient pediatric care setting. The implementation of AI was explored in terms of its acceptability, fidelity, and feasibility as a KT intervention in pain management.MethodsA mixed-methods case study design was used. The case was a surgical unit in a pediatric academic-affiliated hospital. The sample consisted of nurses in leadership positions and staff nurses interested in the study. Data on the AI intervention implementation were collected by digitally recording the AI sessions, maintaining logs, and conducting individual semistructured interviews. Data were analysed using qualitative and quantitative content analyses and descriptive statistics. Findings were triangulated in the discussion.ResultsThree nurse leaders and nine staff members participated in the study. Participants were generally satisfied with the intervention, which consisted of four 3-hour, interactive AI sessions delivered over two weeks to promote change based on positive examples of pain management in the unit and staff implementation of an action plan. The AI sessions were delivered with high fidelity and 11 of 12 participants attended all four sessions, where they developed an action plan to enhance evidence-based pain assessment documentation. Participants labeled AI a 'refreshing approach to change' because it was positive, democratic, and built on existing practices. Several barriers affected their implementation of the action plan, including a context of change overload, logistics, busyness, and a lack of organised follow-up.ConclusionsResults of this case study supported the acceptability, fidelity, and feasibility of AI as a KT intervention in pain management. The AI intervention requires minor refinements (e.g., incorporating continued follow-up meetings) to enhance its clinical utility and sustainability. The implementation process and effectiveness of the modified AI intervention require evaluation in a larger multisite study.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/1748-5908-5-90", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1036000", 
        "issn": [
          "1748-5908"
        ], 
        "name": "Implementation Science", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "keywords": [
      "pain management", 
      "KT interventions", 
      "academic-affiliated hospital", 
      "pain assessment documentation", 
      "Health Services framework", 
      "pediatric care settings", 
      "knowledge translation intervention", 
      "pediatric nursing practice", 
      "surgical unit", 
      "mixed-method case study design", 
      "large multisite study", 
      "Promoting Action", 
      "care settings", 
      "clinical utility", 
      "clinical issues", 
      "staff nurses", 
      "nursing practice", 
      "study design", 
      "intervention implementation", 
      "assessment documentation", 
      "multisite study", 
      "process evaluation", 
      "intervention", 
      "staff implementation", 
      "nurses", 
      "nurse leaders", 
      "descriptive statistics", 
      "action plan", 
      "staff members", 
      "sessions", 
      "AI interventions", 
      "participants", 
      "acceptability", 
      "hospital", 
      "management", 
      "study", 
      "weeks", 
      "evaluation", 
      "management evidence", 
      "ConclusionsResults", 
      "overload", 
      "case study design", 
      "minor refinements", 
      "service framework", 
      "content analysis", 
      "findings", 
      "setting", 
      "practice", 
      "evidence", 
      "plan", 
      "data", 
      "cases", 
      "feasibility", 
      "action", 
      "units", 
      "implementation process", 
      "interviews", 
      "lack", 
      "utility", 
      "changes", 
      "documentation", 
      "barriers", 
      "AI", 
      "use", 
      "samples", 
      "members", 
      "appreciative inquiry", 
      "effectiveness", 
      "analysis", 
      "innovative use", 
      "statistics", 
      "busyness", 
      "implementation", 
      "research", 
      "quantitative content analysis", 
      "implementation of AI", 
      "refreshing approach", 
      "discussion", 
      "fidelity", 
      "leadership positions", 
      "inquiry", 
      "approach", 
      "logs", 
      "issues", 
      "terms", 
      "position", 
      "design", 
      "context", 
      "high fidelity", 
      "refinement", 
      "process", 
      "logistics", 
      "leaders", 
      "case study", 
      "example", 
      "positive examples", 
      "framework", 
      "sustainability", 
      "feasibility of AI"
    ], 
    "name": "Process evaluation of appreciative inquiry to translate pain management evidence into pediatric nursing practice", 
    "pagination": "90", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045538708"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1748-5908-5-90"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21092118"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1748-5908-5-90", 
      "https://app.dimensions.ai/details/publication/pub.1045538708"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:04", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_518.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/1748-5908-5-90"
  }
]

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

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

217 TRIPLES      22 PREDICATES      129 URIs      117 LITERALS      7 BLANK NODES