Barriers to integrating personalized medicine into clinical practice: a best–worst scaling choice experiment View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-05

AUTHORS

Mehdi Najafzadeh, Larry D. Lynd, Jennifer C. Davis, Stirling Bryan, Aslam Anis, Marco Marra, Carlo A. Marra

ABSTRACT

PURPOSE: As advances in genomics make genome sequencing more affordable, the availability of new genome-based diagnostic and therapeutic strategies (i.e., personalized medicine) will increase. This wave will hit front-line physicians who may be faced with a plethora of patients' expectations of integrating genomic data into clinical care. The objective of this study was to elicit the preferences of physicians about regarding applying personalized medicine in their clinical practice as these strategies become available. METHODS: Using a best-worst scaling (BWS) choice experiment, we estimated the relative importance of attributes that influence physicians' decision for using personalized medicine. Six attributes were included in the BWS: type of genetic tests, training for genetic testing, clinical guidelines, professional fee, privacy protection laws, and cost of genetic tests. A total of 197 physicians in British Columbia completed the experiment. Using latent class analysis (LCA), we explored the physicians' heterogeneities in preferences. RESULTS: "Type of genetic tests" had the largest importance, suggesting that the physicians' decision was highly influenced by the availability of genetic tests for patients' predisposition to diseases and/or drug response. "Training" and "guidelines" were the attributes with the next highest importance. LCA identified two classes of physicians. Relative to class 2, class 1 had a larger weight for the "type of genetic tests," but smaller weights for "professional fee" and "cost of tests." CONCLUSION: We measured relative importance of factors that affect the decision of physicians to incorporate personalized medicine in their practice. These results can be used to design the policies for supporting physicians and facilitating the use of personalized medicine in the future. More... »

PAGES

520

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/gim.2011.26

DOI

http://dx.doi.org/10.1038/gim.2011.26

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039988343

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22241089


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "British Columbia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Decision Making", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Privacy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Testing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome, Human", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Physicians", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Practice Guidelines as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Practice Patterns, Physicians'", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Precision Medicine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Najafzadeh", 
        "givenName": "Mehdi", 
        "id": "sg:person.01006746763.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006746763.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St. Paul's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416553.0", 
          "name": [
            "Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada", 
            "Centre for Health Evaluation and Outcome Sciences, St. Paul\u2019s Hospital, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lynd", 
        "givenName": "Larry D.", 
        "id": "sg:person.0732333256.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732333256.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Centre for Clinical Epidemiology and Evaluation, VCH Research Institute, The University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Davis", 
        "givenName": "Jennifer C.", 
        "id": "sg:person.01321566173.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321566173.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Centre for Clinical Epidemiology and Evaluation, VCH Research Institute, The University of British Columbia, Vancouver, British Columbia, Canada", 
            "School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bryan", 
        "givenName": "Stirling", 
        "id": "sg:person.01212616666.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212616666.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Centre for Health Evaluation and Outcome Sciences, St. Paul\u2019s Hospital, Vancouver, British Columbia, Canada", 
            "School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anis", 
        "givenName": "Aslam", 
        "id": "sg:person.01340462506.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340462506.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Canada's Michael Smith Genome Sciences Centre", 
          "id": "https://www.grid.ac/institutes/grid.434706.2", 
          "name": [
            "Genome Sciences Centre, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marra", 
        "givenName": "Marco", 
        "id": "sg:person.01150455763.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150455763.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St. Paul's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416553.0", 
          "name": [
            "Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada", 
            "Centre for Health Evaluation and Outcome Sciences, St. Paul\u2019s Hospital, Vancouver, British Columbia, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marra", 
        "givenName": "Carlo A.", 
        "id": "sg:person.01021612012.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021612012.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jmp.2005.05.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000727825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmp.2005.05.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000727825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1755-5345(13)70025-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001293422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.299.11.1320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001696578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/00125817-200303000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002050336", 
          "https://doi.org/10.1097/00125817-200303000-00004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhealeco.2006.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003074629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hec.1656", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004503731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02770900802126990", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005157215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e3181837217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005331293", 
          "https://doi.org/10.1097/gim.0b013e3181837217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e3181837217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005331293", 
          "https://doi.org/10.1097/gim.0b013e3181837217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00019053-200826080-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008806799", 
          "https://doi.org/10.2165/00019053-200826080-00004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e31815bf953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010000630", 
          "https://doi.org/10.1097/gim.0b013e31815bf953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/gim.0b013e31815bf953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010000630", 
          "https://doi.org/10.1097/gim.0b013e31815bf953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmp.2008.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014327514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.1864110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014390399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2353/jmoldx.2008.080027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018150853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.298.14.1682", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020510272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhealeco.2008.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020651763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1097/00125817-200305000-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020654592", 
          "https://doi.org/10.1097/00125817-200305000-00008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/jhg.2009.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023152914", 
          "https://doi.org/10.1038/jhg.2009.11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/jhg.2009.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023152914", 
          "https://doi.org/10.1038/jhg.2009.11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-2615(02)00046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025239775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-2615(02)00046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025239775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinternmed.2008.517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033756294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.319.7222.1410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034446343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajmg.a.10192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037108753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0508-509", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037865970", 
          "https://doi.org/10.1038/nbt0508-509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.320.7248.1530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046084467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/clpt.2009.30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047368814", 
          "https://doi.org/10.1038/clpt.2009.30"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/clpt.2009.30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047368814", 
          "https://doi.org/10.1038/clpt.2009.30"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.299.11.1351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053202812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/152460900750020900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059212752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.311.5767.1544", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062591532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/000113371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069096140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2146/ajhp080170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069099047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2146/ajhp080170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069099047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2146/ajhp080170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069099047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2146/ajhp080170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069099047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2146/ajhp080170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069099047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3310/hta5050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071139659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3310/hta5260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071139679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075243148", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075268717", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-05", 
    "datePublishedReg": "2012-05-01", 
    "description": "PURPOSE: As advances in genomics make genome sequencing more affordable, the availability of new genome-based diagnostic and therapeutic strategies (i.e., personalized medicine) will increase. This wave will hit front-line physicians who may be faced with a plethora of patients' expectations of integrating genomic data into clinical care. The objective of this study was to elicit the preferences of physicians about regarding applying personalized medicine in their clinical practice as these strategies become available.\nMETHODS: Using a best-worst scaling (BWS) choice experiment, we estimated the relative importance of attributes that influence physicians' decision for using personalized medicine. Six attributes were included in the BWS: type of genetic tests, training for genetic testing, clinical guidelines, professional fee, privacy protection laws, and cost of genetic tests. A total of 197 physicians in British Columbia completed the experiment. Using latent class analysis (LCA), we explored the physicians' heterogeneities in preferences.\nRESULTS: \"Type of genetic tests\" had the largest importance, suggesting that the physicians' decision was highly influenced by the availability of genetic tests for patients' predisposition to diseases and/or drug response. \"Training\" and \"guidelines\" were the attributes with the next highest importance. LCA identified two classes of physicians. Relative to class 2, class 1 had a larger weight for the \"type of genetic tests,\" but smaller weights for \"professional fee\" and \"cost of tests.\"\nCONCLUSION: We measured relative importance of factors that affect the decision of physicians to incorporate personalized medicine in their practice. These results can be used to design the policies for supporting physicians and facilitating the use of personalized medicine in the future.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/gim.2011.26", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1119411", 
        "issn": [
          "1098-3600", 
          "1530-0366"
        ], 
        "name": "Genetics in Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "Barriers to integrating personalized medicine into clinical practice: a best\u2013worst scaling choice experiment", 
    "pagination": "520", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "be7cf0c3bb8b84891488649b16bb1c0f4a4889268618b006ec887b1dbec94318"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22241089"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9815831"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/gim.2011.26"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039988343"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/gim.2011.26", 
      "https://app.dimensions.ai/details/publication/pub.1039988343"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:25", 
    "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/v90/0000000001_0000000264/records_8687_00000434.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/gim201126"
  }
]
 

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.10.1038/gim.2011.26'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/gim.2011.26'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/gim.2011.26'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/gim.2011.26'


 

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

302 TRIPLES      21 PREDICATES      81 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/gim.2011.26 schema:about N19e678a66f714e5b9c80b8c372ac132b
2 N2b851ab4f1494b2a9e8c0ea81ff310c7
3 N32dfb5fb9a71458dbeff7ce3223ea1e0
4 N400acbc037f449829e6ec99f49392ede
5 N44f1b761230441ff8e7c3091f037c2a1
6 N4a8b32e921fc43c9a466eef13b04f006
7 N4fa405544aec49a9863868dd24443c27
8 N503c9d168f904d2cba66fcd4152b30df
9 N5868b11a9955433e89f95f1874c10d29
10 N6436e1c23f27427e8ee401ee3609ccd0
11 N696283d6218a447d899f1d45a6a50b75
12 N850ceaee2ee243f9b2736d1e7164361f
13 N8d2641afc4f447f89e07f0b276140a3c
14 Nc3f7d2fa9a1846e9bcd71a62a49c7127
15 Nd152ed7558b047a48f51d89dbe5a42cc
16 Ndfdba3ca96ce4c1591e592a71c440a5f
17 Ne714ba92d0a04e90a1b0cb98d8bc007c
18 Nf1a5378b72224f94a4244102867c36a6
19 Nf61e10ebbce143909476c9422f35894c
20 anzsrc-for:06
21 anzsrc-for:0604
22 schema:author Ndea597a092894ea38e623c0ab9b87295
23 schema:citation sg:pub.10.1038/clpt.2009.30
24 sg:pub.10.1038/jhg.2009.11
25 sg:pub.10.1038/nbt0508-509
26 sg:pub.10.1097/00125817-200303000-00004
27 sg:pub.10.1097/00125817-200305000-00008
28 sg:pub.10.1097/gim.0b013e31815bf953
29 sg:pub.10.1097/gim.0b013e3181837217
30 sg:pub.10.2165/00019053-200826080-00004
31 https://app.dimensions.ai/details/publication/pub.1075243148
32 https://app.dimensions.ai/details/publication/pub.1075268717
33 https://doi.org/10.1001/archinternmed.2008.517
34 https://doi.org/10.1001/jama.298.14.1682
35 https://doi.org/10.1001/jama.299.11.1320
36 https://doi.org/10.1001/jama.299.11.1351
37 https://doi.org/10.1002/ajmg.a.10192
38 https://doi.org/10.1002/hec.1656
39 https://doi.org/10.1016/j.jhealeco.2006.04.002
40 https://doi.org/10.1016/j.jhealeco.2008.11.003
41 https://doi.org/10.1016/j.jmp.2005.05.003
42 https://doi.org/10.1016/j.jmp.2008.02.002
43 https://doi.org/10.1016/s0191-2615(02)00046-2
44 https://doi.org/10.1016/s1755-5345(13)70025-3
45 https://doi.org/10.1080/02770900802126990
46 https://doi.org/10.1089/152460900750020900
47 https://doi.org/10.1101/gad.1864110
48 https://doi.org/10.1126/science.311.5767.1544
49 https://doi.org/10.1136/bmj.319.7222.1410
50 https://doi.org/10.1136/bmj.320.7248.1530
51 https://doi.org/10.2144/000113371
52 https://doi.org/10.2146/ajhp080170
53 https://doi.org/10.2353/jmoldx.2008.080027
54 https://doi.org/10.3310/hta5050
55 https://doi.org/10.3310/hta5260
56 schema:datePublished 2012-05
57 schema:datePublishedReg 2012-05-01
58 schema:description PURPOSE: As advances in genomics make genome sequencing more affordable, the availability of new genome-based diagnostic and therapeutic strategies (i.e., personalized medicine) will increase. This wave will hit front-line physicians who may be faced with a plethora of patients' expectations of integrating genomic data into clinical care. The objective of this study was to elicit the preferences of physicians about regarding applying personalized medicine in their clinical practice as these strategies become available. METHODS: Using a best-worst scaling (BWS) choice experiment, we estimated the relative importance of attributes that influence physicians' decision for using personalized medicine. Six attributes were included in the BWS: type of genetic tests, training for genetic testing, clinical guidelines, professional fee, privacy protection laws, and cost of genetic tests. A total of 197 physicians in British Columbia completed the experiment. Using latent class analysis (LCA), we explored the physicians' heterogeneities in preferences. RESULTS: "Type of genetic tests" had the largest importance, suggesting that the physicians' decision was highly influenced by the availability of genetic tests for patients' predisposition to diseases and/or drug response. "Training" and "guidelines" were the attributes with the next highest importance. LCA identified two classes of physicians. Relative to class 2, class 1 had a larger weight for the "type of genetic tests," but smaller weights for "professional fee" and "cost of tests." CONCLUSION: We measured relative importance of factors that affect the decision of physicians to incorporate personalized medicine in their practice. These results can be used to design the policies for supporting physicians and facilitating the use of personalized medicine in the future.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree true
62 schema:isPartOf N0e181053470445f08d2cedcc052bebae
63 Nf1190d13b08e494e89263d2c71cb4f51
64 sg:journal.1119411
65 schema:name Barriers to integrating personalized medicine into clinical practice: a best–worst scaling choice experiment
66 schema:pagination 520
67 schema:productId N3c23d2a5e4724d6db74a808ff208cf61
68 N67eb15b3281b40c0b1c7407c398112ac
69 Nd196b54f7e1741c4904d4a78f34b6256
70 Ne7ffd58f799f4fa892b2aca52622d638
71 Nfc118fef412e49d3b7449385dec4d8ac
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039988343
73 https://doi.org/10.1038/gim.2011.26
74 schema:sdDatePublished 2019-04-10T21:25
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher N45a14662cab245a5b0a269034d5a7dac
77 schema:url https://www.nature.com/articles/gim201126
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N010a083b6a8044c384d8768fb2270fa8 rdf:first sg:person.01150455763.02
82 rdf:rest Nea44de0e5f9e4244a7295fa46296ccf8
83 N0e181053470445f08d2cedcc052bebae schema:issueNumber 5
84 rdf:type schema:PublicationIssue
85 N19e678a66f714e5b9c80b8c372ac132b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Surveys and Questionnaires
87 rdf:type schema:DefinedTerm
88 N2b851ab4f1494b2a9e8c0ea81ff310c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Adult
90 rdf:type schema:DefinedTerm
91 N32dfb5fb9a71458dbeff7ce3223ea1e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Genomics
93 rdf:type schema:DefinedTerm
94 N3c23d2a5e4724d6db74a808ff208cf61 schema:name dimensions_id
95 schema:value pub.1039988343
96 rdf:type schema:PropertyValue
97 N400acbc037f449829e6ec99f49392ede schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Genetic Privacy
99 rdf:type schema:DefinedTerm
100 N44f1b761230441ff8e7c3091f037c2a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Aged
102 rdf:type schema:DefinedTerm
103 N45a14662cab245a5b0a269034d5a7dac schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 N4a8b32e921fc43c9a466eef13b04f006 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Physicians
107 rdf:type schema:DefinedTerm
108 N4fa405544aec49a9863868dd24443c27 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Decision Making
110 rdf:type schema:DefinedTerm
111 N503c9d168f904d2cba66fcd4152b30df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Practice Guidelines as Topic
113 rdf:type schema:DefinedTerm
114 N5461371309c6447d9e9db8aa042011fc rdf:first sg:person.01340462506.44
115 rdf:rest N010a083b6a8044c384d8768fb2270fa8
116 N5868b11a9955433e89f95f1874c10d29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Practice Patterns, Physicians'
118 rdf:type schema:DefinedTerm
119 N6436e1c23f27427e8ee401ee3609ccd0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Precision Medicine
121 rdf:type schema:DefinedTerm
122 N6506c81738d1463da4dc426800371475 rdf:first sg:person.0732333256.41
123 rdf:rest Na895e2d0416b470ba4e84374a24bd1a0
124 N67eb15b3281b40c0b1c7407c398112ac schema:name readcube_id
125 schema:value be7cf0c3bb8b84891488649b16bb1c0f4a4889268618b006ec887b1dbec94318
126 rdf:type schema:PropertyValue
127 N696283d6218a447d899f1d45a6a50b75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Genetic Testing
129 rdf:type schema:DefinedTerm
130 N850ceaee2ee243f9b2736d1e7164361f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Sequence Analysis, DNA
132 rdf:type schema:DefinedTerm
133 N8d2641afc4f447f89e07f0b276140a3c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Male
135 rdf:type schema:DefinedTerm
136 Na895e2d0416b470ba4e84374a24bd1a0 rdf:first sg:person.01321566173.05
137 rdf:rest Ncbf2a4e8a3c4481cae5459a6fc5f4c27
138 Nc3f7d2fa9a1846e9bcd71a62a49c7127 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Cross-Sectional Studies
140 rdf:type schema:DefinedTerm
141 Ncbf2a4e8a3c4481cae5459a6fc5f4c27 rdf:first sg:person.01212616666.28
142 rdf:rest N5461371309c6447d9e9db8aa042011fc
143 Nd152ed7558b047a48f51d89dbe5a42cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Female
145 rdf:type schema:DefinedTerm
146 Nd196b54f7e1741c4904d4a78f34b6256 schema:name pubmed_id
147 schema:value 22241089
148 rdf:type schema:PropertyValue
149 Ndea597a092894ea38e623c0ab9b87295 rdf:first sg:person.01006746763.27
150 rdf:rest N6506c81738d1463da4dc426800371475
151 Ndfdba3ca96ce4c1591e592a71c440a5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Middle Aged
153 rdf:type schema:DefinedTerm
154 Ne714ba92d0a04e90a1b0cb98d8bc007c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Humans
156 rdf:type schema:DefinedTerm
157 Ne7ffd58f799f4fa892b2aca52622d638 schema:name nlm_unique_id
158 schema:value 9815831
159 rdf:type schema:PropertyValue
160 Nea44de0e5f9e4244a7295fa46296ccf8 rdf:first sg:person.01021612012.88
161 rdf:rest rdf:nil
162 Nf1190d13b08e494e89263d2c71cb4f51 schema:volumeNumber 14
163 rdf:type schema:PublicationVolume
164 Nf1a5378b72224f94a4244102867c36a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name British Columbia
166 rdf:type schema:DefinedTerm
167 Nf61e10ebbce143909476c9422f35894c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Genome, Human
169 rdf:type schema:DefinedTerm
170 Nfc118fef412e49d3b7449385dec4d8ac schema:name doi
171 schema:value 10.1038/gim.2011.26
172 rdf:type schema:PropertyValue
173 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
174 schema:name Biological Sciences
175 rdf:type schema:DefinedTerm
176 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
177 schema:name Genetics
178 rdf:type schema:DefinedTerm
179 sg:journal.1119411 schema:issn 1098-3600
180 1530-0366
181 schema:name Genetics in Medicine
182 rdf:type schema:Periodical
183 sg:person.01006746763.27 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
184 schema:familyName Najafzadeh
185 schema:givenName Mehdi
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006746763.27
187 rdf:type schema:Person
188 sg:person.01021612012.88 schema:affiliation https://www.grid.ac/institutes/grid.416553.0
189 schema:familyName Marra
190 schema:givenName Carlo A.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021612012.88
192 rdf:type schema:Person
193 sg:person.01150455763.02 schema:affiliation https://www.grid.ac/institutes/grid.434706.2
194 schema:familyName Marra
195 schema:givenName Marco
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150455763.02
197 rdf:type schema:Person
198 sg:person.01212616666.28 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
199 schema:familyName Bryan
200 schema:givenName Stirling
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212616666.28
202 rdf:type schema:Person
203 sg:person.01321566173.05 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
204 schema:familyName Davis
205 schema:givenName Jennifer C.
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321566173.05
207 rdf:type schema:Person
208 sg:person.01340462506.44 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
209 schema:familyName Anis
210 schema:givenName Aslam
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340462506.44
212 rdf:type schema:Person
213 sg:person.0732333256.41 schema:affiliation https://www.grid.ac/institutes/grid.416553.0
214 schema:familyName Lynd
215 schema:givenName Larry D.
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0732333256.41
217 rdf:type schema:Person
218 sg:pub.10.1038/clpt.2009.30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047368814
219 https://doi.org/10.1038/clpt.2009.30
220 rdf:type schema:CreativeWork
221 sg:pub.10.1038/jhg.2009.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023152914
222 https://doi.org/10.1038/jhg.2009.11
223 rdf:type schema:CreativeWork
224 sg:pub.10.1038/nbt0508-509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037865970
225 https://doi.org/10.1038/nbt0508-509
226 rdf:type schema:CreativeWork
227 sg:pub.10.1097/00125817-200303000-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002050336
228 https://doi.org/10.1097/00125817-200303000-00004
229 rdf:type schema:CreativeWork
230 sg:pub.10.1097/00125817-200305000-00008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020654592
231 https://doi.org/10.1097/00125817-200305000-00008
232 rdf:type schema:CreativeWork
233 sg:pub.10.1097/gim.0b013e31815bf953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010000630
234 https://doi.org/10.1097/gim.0b013e31815bf953
235 rdf:type schema:CreativeWork
236 sg:pub.10.1097/gim.0b013e3181837217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005331293
237 https://doi.org/10.1097/gim.0b013e3181837217
238 rdf:type schema:CreativeWork
239 sg:pub.10.2165/00019053-200826080-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008806799
240 https://doi.org/10.2165/00019053-200826080-00004
241 rdf:type schema:CreativeWork
242 https://app.dimensions.ai/details/publication/pub.1075243148 schema:CreativeWork
243 https://app.dimensions.ai/details/publication/pub.1075268717 schema:CreativeWork
244 https://doi.org/10.1001/archinternmed.2008.517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033756294
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1001/jama.298.14.1682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020510272
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1001/jama.299.11.1320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001696578
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1001/jama.299.11.1351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053202812
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1002/ajmg.a.10192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037108753
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1002/hec.1656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004503731
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1016/j.jhealeco.2006.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003074629
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/j.jhealeco.2008.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020651763
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/j.jmp.2005.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000727825
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/j.jmp.2008.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014327514
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/s0191-2615(02)00046-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025239775
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/s1755-5345(13)70025-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001293422
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1080/02770900802126990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005157215
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1089/152460900750020900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059212752
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1101/gad.1864110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014390399
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1126/science.311.5767.1544 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062591532
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1136/bmj.319.7222.1410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034446343
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1136/bmj.320.7248.1530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046084467
279 rdf:type schema:CreativeWork
280 https://doi.org/10.2144/000113371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069096140
281 rdf:type schema:CreativeWork
282 https://doi.org/10.2146/ajhp080170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069099047
283 rdf:type schema:CreativeWork
284 https://doi.org/10.2353/jmoldx.2008.080027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018150853
285 rdf:type schema:CreativeWork
286 https://doi.org/10.3310/hta5050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071139659
287 rdf:type schema:CreativeWork
288 https://doi.org/10.3310/hta5260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071139679
289 rdf:type schema:CreativeWork
290 https://www.grid.ac/institutes/grid.17091.3e schema:alternateName University of British Columbia
291 schema:name Centre for Clinical Epidemiology and Evaluation, VCH Research Institute, The University of British Columbia, Vancouver, British Columbia, Canada
292 Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, Vancouver, British Columbia, Canada
293 Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
294 School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
295 rdf:type schema:Organization
296 https://www.grid.ac/institutes/grid.416553.0 schema:alternateName St. Paul's Hospital
297 schema:name Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, Vancouver, British Columbia, Canada
298 Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
299 rdf:type schema:Organization
300 https://www.grid.ac/institutes/grid.434706.2 schema:alternateName Canada's Michael Smith Genome Sciences Centre
301 schema:name Genome Sciences Centre, Vancouver, British Columbia, Canada
302 rdf:type schema:Organization
 




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


...