Knowledge is Power! Increased Provider Knowledge Scores Regarding Pre-exposure Prophylaxis (PrEP) are Associated with Higher Rates of PrEP Prescription and ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-05

AUTHORS

Jill Blumenthal, Sonia Jain, Douglas Krakower, Xiaoying Sun, Jason Young, Kenneth Mayer, Richard Haubrich, The CCTG 598 Team

ABSTRACT

The FDA approval of emtricitabine/tenofovir disoproxil fumarate for pre-exposure prophylaxis (PrEP) in 2012 has raised questions about the delivery of PrEP in a real-world setting. iPad-based questionnaires were given to providers at conferences in California and New York to assess knowledge, experience and attitudes regarding PrEP in HIV and non-HIV providers. HIV provider status was defined either by self-identification or by having greater than 5 years of HIV care experience. Knowledge scores were the sum of correct answers from five PrEP knowledge questions. Univariate analyses used t-test to compare knowledge scores and Fisher's exact test for past or future PrEP prescription between HIV and non-HIV providers. Multivariable linear or logistic regression models were used to assess factors associated with the outcomes. Of 233 respondents, the mean age was 40 years, 59 % were White, 59 % were physicians and 52 % were HIV providers. In univariate analysis, mean PrEP knowledge scores (max 5) were significantly higher for HIV providers (2.8 versus 2.2; p < 0.001), age > 41 (mean 2.8 versus 2.3; p = 0.004), White race (2.7 versus 2.2; p = 0.026) and participants in the New York region (3.0 versus 2.3; p < 0.001). In a multivariable model of knowledge scores, all but age remained significant. Among 201 potential prescribers, the rate of prior PrEP prescription was higher among HIV providers than non-HIV providers (34 versus 9 %; p < 0.001) and by knowledge score, but the association with provider status was no longer significant in multivariable analysis that controlled for knowledge. Intent to prescribe PrEP in the future was high for all provider types (64 %) and was associated with knowledge scores in multivariable analysis. The most common concerns about PrEP (>40 % of providers) were drug toxicities, development of resistance and patient adherence to follow-up; 32 % identified risk compensation as a concern. HIV providers had significantly greater PrEP knowledge than non-HIV providers, but differences by provider type in past PrEP prescription were largely dependent on knowledge. Future PrEP prescription was also associated with knowledge, though all providers expressed greater future use. Education of potential PrEP providers will be a key component of successful PrEP implementation. More... »

PAGES

802-810

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10461-015-0996-z

DOI

http://dx.doi.org/10.1007/s10461-015-0996-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022893357

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25616837


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anti-HIV Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "California", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Prescriptions", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "HIV Infections", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Knowledge, Attitudes, Practice", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Personnel", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intention", 
        "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": "New York", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Physicians", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Practice Patterns, Physicians'", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pre-Exposure Prophylaxis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of California, San Diego", 
          "id": "https://www.grid.ac/institutes/grid.266100.3", 
          "name": [
            "Division of Infectious Diseases, University of California, San Diego, 220 Dickinson Street, Suite A, 92103, San Diego, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blumenthal", 
        "givenName": "Jill", 
        "id": "sg:person.01336741023.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336741023.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Diego", 
          "id": "https://www.grid.ac/institutes/grid.266100.3", 
          "name": [
            "Division of Biostatistics and Bioinformatics, University of California, San Diego, San Diego, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jain", 
        "givenName": "Sonia", 
        "id": "sg:person.01242435667.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242435667.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.2515.3", 
          "name": [
            "Division of Infectious Diseases, Beth Israel Deaconness, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krakower", 
        "givenName": "Douglas", 
        "id": "sg:person.01347306101.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347306101.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Diego", 
          "id": "https://www.grid.ac/institutes/grid.266100.3", 
          "name": [
            "Division of Biostatistics and Bioinformatics, University of California, San Diego, San Diego, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sun", 
        "givenName": "Xiaoying", 
        "id": "sg:person.01200217160.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200217160.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Diego", 
          "id": "https://www.grid.ac/institutes/grid.266100.3", 
          "name": [
            "Division of Infectious Diseases, University of California, San Diego, 220 Dickinson Street, Suite A, 92103, San Diego, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Young", 
        "givenName": "Jason", 
        "id": "sg:person.0660367350.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660367350.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston Children's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.2515.3", 
          "name": [
            "Division of Infectious Diseases, Beth Israel Deaconness, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mayer", 
        "givenName": "Kenneth", 
        "id": "sg:person.016146261317.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016146261317.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Diego", 
          "id": "https://www.grid.ac/institutes/grid.266100.3", 
          "name": [
            "Division of Infectious Diseases, University of California, San Diego, 220 Dickinson Street, Suite A, 92103, San Diego, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haubrich", 
        "givenName": "Richard", 
        "id": "sg:person.01153066026.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153066026.25"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "The CCTG 598 Team", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10461-014-0839-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000130967", 
          "https://doi.org/10.1007/s10461-014-0839-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1108524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006375331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/qai.0b013e318202a9c4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009271403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/qai.0b013e318202a9c4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009271403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1011205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010466703"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/375070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011208692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10461-010-9844-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012463312", 
          "https://doi.org/10.1007/s10461-010-9844-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1753-6405.2008.00232.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013461924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/her/cyn003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023559329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1557988311434825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023989765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1557988311434825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023989765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cid/cit796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034474019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2334-13-217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035421034", 
          "https://doi.org/10.1186/1471-2334-13-217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0277-9536(96)00258-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037217992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10461-010-9856-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037286454", 
          "https://doi.org/10.1007/s10461-010-9856-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.olq.0000154499.17511.0a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046255417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.olq.0000154499.17511.0a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046255417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.olq.0000154499.17511.0a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046255417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/olq.0b013e3181a9cc41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046766433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/olq.0b013e3181a9cc41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046766433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/olq.0b013e3181a9cc41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046766433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09540121.2013.845289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049167616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1110711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051085497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/apc.2010.0224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059229255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/apc.2011.0202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059229363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/apc.2012.0030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059229422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/apc.2013.0013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059229511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/apc.2013.0328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059229569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.94.7.1186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068879659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077349172", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077738610", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/smj.0b013e31824f1a1b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078542510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/smj.0b013e31824f1a1b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078542510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/smj.0b013e31824f1a1b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078542510"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-05", 
    "datePublishedReg": "2015-05-01", 
    "description": "The FDA approval of emtricitabine/tenofovir disoproxil fumarate for pre-exposure prophylaxis (PrEP) in 2012 has raised questions about the delivery of PrEP in a real-world setting. iPad-based questionnaires were given to providers at conferences in California and New York to assess knowledge, experience and attitudes regarding PrEP in HIV and non-HIV providers. HIV provider status was defined either by self-identification or by having greater than 5 years of HIV care experience. Knowledge scores were the sum of correct answers from five PrEP knowledge questions. Univariate analyses used t-test to compare knowledge scores and Fisher's exact test for past or future PrEP prescription between HIV and non-HIV providers. Multivariable linear or logistic regression models were used to assess factors associated with the outcomes. Of 233 respondents, the mean age was 40 years, 59 % were White, 59 % were physicians and 52 % were HIV providers. In univariate analysis, mean PrEP knowledge scores (max 5) were significantly higher for HIV providers (2.8 versus 2.2; p < 0.001), age > 41 (mean 2.8 versus 2.3; p = 0.004), White race (2.7 versus 2.2; p = 0.026) and participants in the New York region (3.0 versus 2.3; p < 0.001). In a multivariable model of knowledge scores, all but age remained significant. Among 201 potential prescribers, the rate of prior PrEP prescription was higher among HIV providers than non-HIV providers (34 versus 9 %; p < 0.001) and by knowledge score, but the association with provider status was no longer significant in multivariable analysis that controlled for knowledge. Intent to prescribe PrEP in the future was high for all provider types (64 %) and was associated with knowledge scores in multivariable analysis. The most common concerns about PrEP (>40 % of providers) were drug toxicities, development of resistance and patient adherence to follow-up; 32 % identified risk compensation as a concern. HIV providers had significantly greater PrEP knowledge than non-HIV providers, but differences by provider type in past PrEP prescription were largely dependent on knowledge. Future PrEP prescription was also associated with knowledge, though all providers expressed greater future use. Education of potential PrEP providers will be a key component of successful PrEP implementation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10461-015-0996-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2687194", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438712", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2420317", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438697", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2420804", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2681754", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1117239", 
        "issn": [
          "1090-7165", 
          "1573-3254"
        ], 
        "name": "AIDS and Behavior", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Knowledge is Power! Increased Provider Knowledge Scores Regarding Pre-exposure Prophylaxis (PrEP) are Associated with Higher Rates of PrEP Prescription and Future Intent to Prescribe PrEP", 
    "pagination": "802-810", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6d116ad5cdf982a52d0bdcf5d985dd7094a3c93b22f1684427531153a182d46f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25616837"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9712133"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10461-015-0996-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022893357"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10461-015-0996-z", 
      "https://app.dimensions.ai/details/publication/pub.1022893357"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:20", 
    "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_8675_00000512.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10461-015-0996-z"
  }
]
 

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.10.1007/s10461-015-0996-z'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10461-015-0996-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10461-015-0996-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10461-015-0996-z'


 

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

279 TRIPLES      21 PREDICATES      72 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10461-015-0996-z schema:about N08762ec1d78f4b449ade246003befb13
2 N0d56341960784c68a15e64f4ed4cd85d
3 N2042c6913f28404497468590daf5bc46
4 N34d1155e1e0e4fd49b14bae7a41dd67e
5 N3629634cd38545f0bb698c768a2b0e9e
6 N3c891c0078574e51b85971cdbe259c0f
7 N526de87537684ce9a9913cd73685d8b7
8 N5cb34ea201dc4b2b93058221edf38a1f
9 N6b6cc2756e184079add90b470f4e50f0
10 N6fe642a050134c628bb1a2b01155539a
11 N70ef5cdd77fa4bd48838c2865db20f17
12 N82bb6583c4174c1c8b37a30b866625b1
13 Nb21e7d2d5bf44589bd0655d97a861566
14 Nc5492d2b61074f85941cba9dd821634b
15 Nd51b242f30b248bca732652371143f92
16 Ne9a392b524154495bce3877508016564
17 Nfd35a90a1e074d1f9361b067216df219
18 anzsrc-for:11
19 anzsrc-for:1117
20 schema:author N439bb65bb091454dba940e0686232a19
21 schema:citation sg:pub.10.1007/s10461-010-9844-3
22 sg:pub.10.1007/s10461-010-9856-z
23 sg:pub.10.1007/s10461-014-0839-3
24 sg:pub.10.1186/1471-2334-13-217
25 https://app.dimensions.ai/details/publication/pub.1077349172
26 https://app.dimensions.ai/details/publication/pub.1077738610
27 https://doi.org/10.1016/s0277-9536(96)00258-4
28 https://doi.org/10.1056/nejmoa1011205
29 https://doi.org/10.1056/nejmoa1108524
30 https://doi.org/10.1056/nejmoa1110711
31 https://doi.org/10.1080/09540121.2013.845289
32 https://doi.org/10.1086/375070
33 https://doi.org/10.1089/apc.2010.0224
34 https://doi.org/10.1089/apc.2011.0202
35 https://doi.org/10.1089/apc.2012.0030
36 https://doi.org/10.1089/apc.2013.0013
37 https://doi.org/10.1089/apc.2013.0328
38 https://doi.org/10.1093/cid/cit796
39 https://doi.org/10.1093/her/cyn003
40 https://doi.org/10.1097/01.olq.0000154499.17511.0a
41 https://doi.org/10.1097/olq.0b013e3181a9cc41
42 https://doi.org/10.1097/qai.0b013e318202a9c4
43 https://doi.org/10.1097/smj.0b013e31824f1a1b
44 https://doi.org/10.1111/j.1753-6405.2008.00232.x
45 https://doi.org/10.1177/1557988311434825
46 https://doi.org/10.2105/ajph.94.7.1186
47 schema:datePublished 2015-05
48 schema:datePublishedReg 2015-05-01
49 schema:description The FDA approval of emtricitabine/tenofovir disoproxil fumarate for pre-exposure prophylaxis (PrEP) in 2012 has raised questions about the delivery of PrEP in a real-world setting. iPad-based questionnaires were given to providers at conferences in California and New York to assess knowledge, experience and attitudes regarding PrEP in HIV and non-HIV providers. HIV provider status was defined either by self-identification or by having greater than 5 years of HIV care experience. Knowledge scores were the sum of correct answers from five PrEP knowledge questions. Univariate analyses used t-test to compare knowledge scores and Fisher's exact test for past or future PrEP prescription between HIV and non-HIV providers. Multivariable linear or logistic regression models were used to assess factors associated with the outcomes. Of 233 respondents, the mean age was 40 years, 59 % were White, 59 % were physicians and 52 % were HIV providers. In univariate analysis, mean PrEP knowledge scores (max 5) were significantly higher for HIV providers (2.8 versus 2.2; p < 0.001), age > 41 (mean 2.8 versus 2.3; p = 0.004), White race (2.7 versus 2.2; p = 0.026) and participants in the New York region (3.0 versus 2.3; p < 0.001). In a multivariable model of knowledge scores, all but age remained significant. Among 201 potential prescribers, the rate of prior PrEP prescription was higher among HIV providers than non-HIV providers (34 versus 9 %; p < 0.001) and by knowledge score, but the association with provider status was no longer significant in multivariable analysis that controlled for knowledge. Intent to prescribe PrEP in the future was high for all provider types (64 %) and was associated with knowledge scores in multivariable analysis. The most common concerns about PrEP (>40 % of providers) were drug toxicities, development of resistance and patient adherence to follow-up; 32 % identified risk compensation as a concern. HIV providers had significantly greater PrEP knowledge than non-HIV providers, but differences by provider type in past PrEP prescription were largely dependent on knowledge. Future PrEP prescription was also associated with knowledge, though all providers expressed greater future use. Education of potential PrEP providers will be a key component of successful PrEP implementation.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree true
53 schema:isPartOf N6599ada4b75f4e0ab2dc30b4db30fdef
54 Nee58c3789fe541edbd2bfadf53447797
55 sg:journal.1117239
56 schema:name Knowledge is Power! Increased Provider Knowledge Scores Regarding Pre-exposure Prophylaxis (PrEP) are Associated with Higher Rates of PrEP Prescription and Future Intent to Prescribe PrEP
57 schema:pagination 802-810
58 schema:productId N483a44b00d3b4b839414ff3ad7d0ef0d
59 N97fcd54b9c86432a97d81d908194deb0
60 Na14394f6f41244e7bc47ebdc448082e4
61 Nb3404da3bdb04af089b2c123e8c6b107
62 Ne24384dafa0c4fa3a720b0dbdd59845f
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022893357
64 https://doi.org/10.1007/s10461-015-0996-z
65 schema:sdDatePublished 2019-04-10T18:20
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher Naee1fa6f0c2643b19c25c032d9aaaa32
68 schema:url http://link.springer.com/10.1007%2Fs10461-015-0996-z
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N08762ec1d78f4b449ade246003befb13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Male
74 rdf:type schema:DefinedTerm
75 N0909a62636af4317af007c277121e408 rdf:first sg:person.0660367350.58
76 rdf:rest Nff231baa1ce44ce79dd9f51b5f91a294
77 N0d56341960784c68a15e64f4ed4cd85d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Physicians
79 rdf:type schema:DefinedTerm
80 N2042c6913f28404497468590daf5bc46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name HIV Infections
82 rdf:type schema:DefinedTerm
83 N34d1155e1e0e4fd49b14bae7a41dd67e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Surveys and Questionnaires
85 rdf:type schema:DefinedTerm
86 N3629634cd38545f0bb698c768a2b0e9e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Intention
88 rdf:type schema:DefinedTerm
89 N3c891c0078574e51b85971cdbe259c0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Practice Patterns, Physicians'
91 rdf:type schema:DefinedTerm
92 N439bb65bb091454dba940e0686232a19 rdf:first sg:person.01336741023.23
93 rdf:rest Nb6ec3bbb3ffd4e4b9fc7f6bce3d4900f
94 N483a44b00d3b4b839414ff3ad7d0ef0d schema:name dimensions_id
95 schema:value pub.1022893357
96 rdf:type schema:PropertyValue
97 N526de87537684ce9a9913cd73685d8b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Pre-Exposure Prophylaxis
99 rdf:type schema:DefinedTerm
100 N5cb34ea201dc4b2b93058221edf38a1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name California
102 rdf:type schema:DefinedTerm
103 N6599ada4b75f4e0ab2dc30b4db30fdef schema:volumeNumber 19
104 rdf:type schema:PublicationVolume
105 N6a5f1a911570408bab63e13af16e8609 rdf:first Nf047fa6a00194d2bbc5f1ad974c6952e
106 rdf:rest rdf:nil
107 N6b6cc2756e184079add90b470f4e50f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Middle Aged
109 rdf:type schema:DefinedTerm
110 N6fe642a050134c628bb1a2b01155539a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Adult
112 rdf:type schema:DefinedTerm
113 N70ef5cdd77fa4bd48838c2865db20f17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Health Personnel
115 rdf:type schema:DefinedTerm
116 N7685839f7d67405e89b5d534c1840ed9 rdf:first sg:person.01200217160.72
117 rdf:rest N0909a62636af4317af007c277121e408
118 N82bb6583c4174c1c8b37a30b866625b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Drug Prescriptions
120 rdf:type schema:DefinedTerm
121 N97fcd54b9c86432a97d81d908194deb0 schema:name nlm_unique_id
122 schema:value 9712133
123 rdf:type schema:PropertyValue
124 Na14394f6f41244e7bc47ebdc448082e4 schema:name doi
125 schema:value 10.1007/s10461-015-0996-z
126 rdf:type schema:PropertyValue
127 Naee1fa6f0c2643b19c25c032d9aaaa32 schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 Nb21e7d2d5bf44589bd0655d97a861566 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Health Knowledge, Attitudes, Practice
131 rdf:type schema:DefinedTerm
132 Nb3404da3bdb04af089b2c123e8c6b107 schema:name readcube_id
133 schema:value 6d116ad5cdf982a52d0bdcf5d985dd7094a3c93b22f1684427531153a182d46f
134 rdf:type schema:PropertyValue
135 Nb6ec3bbb3ffd4e4b9fc7f6bce3d4900f rdf:first sg:person.01242435667.23
136 rdf:rest Nc5db100602af4fc19d58a02987a2f69c
137 Nc5492d2b61074f85941cba9dd821634b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Anti-HIV Agents
139 rdf:type schema:DefinedTerm
140 Nc5db100602af4fc19d58a02987a2f69c rdf:first sg:person.01347306101.19
141 rdf:rest N7685839f7d67405e89b5d534c1840ed9
142 Nd51b242f30b248bca732652371143f92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Humans
144 rdf:type schema:DefinedTerm
145 Ne24384dafa0c4fa3a720b0dbdd59845f schema:name pubmed_id
146 schema:value 25616837
147 rdf:type schema:PropertyValue
148 Ne9a392b524154495bce3877508016564 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Female
150 rdf:type schema:DefinedTerm
151 Nee58c3789fe541edbd2bfadf53447797 schema:issueNumber 5
152 rdf:type schema:PublicationIssue
153 Nf047fa6a00194d2bbc5f1ad974c6952e schema:familyName The CCTG 598 Team
154 rdf:type schema:Person
155 Nf3cbb8b99a49424f966b332e448e25d8 rdf:first sg:person.01153066026.25
156 rdf:rest N6a5f1a911570408bab63e13af16e8609
157 Nfd35a90a1e074d1f9361b067216df219 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name New York
159 rdf:type schema:DefinedTerm
160 Nff231baa1ce44ce79dd9f51b5f91a294 rdf:first sg:person.016146261317.19
161 rdf:rest Nf3cbb8b99a49424f966b332e448e25d8
162 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
163 schema:name Medical and Health Sciences
164 rdf:type schema:DefinedTerm
165 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
166 schema:name Public Health and Health Services
167 rdf:type schema:DefinedTerm
168 sg:grant.2420317 http://pending.schema.org/fundedItem sg:pub.10.1007/s10461-015-0996-z
169 rdf:type schema:MonetaryGrant
170 sg:grant.2420804 http://pending.schema.org/fundedItem sg:pub.10.1007/s10461-015-0996-z
171 rdf:type schema:MonetaryGrant
172 sg:grant.2438697 http://pending.schema.org/fundedItem sg:pub.10.1007/s10461-015-0996-z
173 rdf:type schema:MonetaryGrant
174 sg:grant.2438712 http://pending.schema.org/fundedItem sg:pub.10.1007/s10461-015-0996-z
175 rdf:type schema:MonetaryGrant
176 sg:grant.2681754 http://pending.schema.org/fundedItem sg:pub.10.1007/s10461-015-0996-z
177 rdf:type schema:MonetaryGrant
178 sg:grant.2687194 http://pending.schema.org/fundedItem sg:pub.10.1007/s10461-015-0996-z
179 rdf:type schema:MonetaryGrant
180 sg:journal.1117239 schema:issn 1090-7165
181 1573-3254
182 schema:name AIDS and Behavior
183 rdf:type schema:Periodical
184 sg:person.01153066026.25 schema:affiliation https://www.grid.ac/institutes/grid.266100.3
185 schema:familyName Haubrich
186 schema:givenName Richard
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153066026.25
188 rdf:type schema:Person
189 sg:person.01200217160.72 schema:affiliation https://www.grid.ac/institutes/grid.266100.3
190 schema:familyName Sun
191 schema:givenName Xiaoying
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200217160.72
193 rdf:type schema:Person
194 sg:person.01242435667.23 schema:affiliation https://www.grid.ac/institutes/grid.266100.3
195 schema:familyName Jain
196 schema:givenName Sonia
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242435667.23
198 rdf:type schema:Person
199 sg:person.01336741023.23 schema:affiliation https://www.grid.ac/institutes/grid.266100.3
200 schema:familyName Blumenthal
201 schema:givenName Jill
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336741023.23
203 rdf:type schema:Person
204 sg:person.01347306101.19 schema:affiliation https://www.grid.ac/institutes/grid.2515.3
205 schema:familyName Krakower
206 schema:givenName Douglas
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347306101.19
208 rdf:type schema:Person
209 sg:person.016146261317.19 schema:affiliation https://www.grid.ac/institutes/grid.2515.3
210 schema:familyName Mayer
211 schema:givenName Kenneth
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016146261317.19
213 rdf:type schema:Person
214 sg:person.0660367350.58 schema:affiliation https://www.grid.ac/institutes/grid.266100.3
215 schema:familyName Young
216 schema:givenName Jason
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660367350.58
218 rdf:type schema:Person
219 sg:pub.10.1007/s10461-010-9844-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012463312
220 https://doi.org/10.1007/s10461-010-9844-3
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s10461-010-9856-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1037286454
223 https://doi.org/10.1007/s10461-010-9856-z
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s10461-014-0839-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000130967
226 https://doi.org/10.1007/s10461-014-0839-3
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/1471-2334-13-217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035421034
229 https://doi.org/10.1186/1471-2334-13-217
230 rdf:type schema:CreativeWork
231 https://app.dimensions.ai/details/publication/pub.1077349172 schema:CreativeWork
232 https://app.dimensions.ai/details/publication/pub.1077738610 schema:CreativeWork
233 https://doi.org/10.1016/s0277-9536(96)00258-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037217992
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1056/nejmoa1011205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010466703
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1056/nejmoa1108524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006375331
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1056/nejmoa1110711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051085497
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1080/09540121.2013.845289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049167616
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1086/375070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011208692
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1089/apc.2010.0224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059229255
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1089/apc.2011.0202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059229363
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1089/apc.2012.0030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059229422
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1089/apc.2013.0013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059229511
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1089/apc.2013.0328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059229569
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1093/cid/cit796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034474019
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1093/her/cyn003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023559329
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1097/01.olq.0000154499.17511.0a schema:sameAs https://app.dimensions.ai/details/publication/pub.1046255417
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1097/olq.0b013e3181a9cc41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046766433
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1097/qai.0b013e318202a9c4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009271403
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1097/smj.0b013e31824f1a1b schema:sameAs https://app.dimensions.ai/details/publication/pub.1078542510
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1111/j.1753-6405.2008.00232.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013461924
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1177/1557988311434825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023989765
270 rdf:type schema:CreativeWork
271 https://doi.org/10.2105/ajph.94.7.1186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068879659
272 rdf:type schema:CreativeWork
273 https://www.grid.ac/institutes/grid.2515.3 schema:alternateName Boston Children's Hospital
274 schema:name Division of Infectious Diseases, Beth Israel Deaconness, Boston, MA, USA
275 rdf:type schema:Organization
276 https://www.grid.ac/institutes/grid.266100.3 schema:alternateName University of California, San Diego
277 schema:name Division of Biostatistics and Bioinformatics, University of California, San Diego, San Diego, CA, USA
278 Division of Infectious Diseases, University of California, San Diego, 220 Dickinson Street, Suite A, 92103, San Diego, CA, USA
279 rdf:type schema:Organization
 




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


...