Ontology type: schema:ScholarlyArticle
2017-11
AUTHORSNiro Sivanathan, Hemant Kakkar
ABSTRACTDirect-to-consumer (DTC) advertising of pharmaceutical drugs is often cited as the culprit for inflated patient demand for advertised drugs. Further to this economic concern, we provide an evidence-based psychological account of another concern that warrants the re-examination of the merits of DTC advertising of prescription drugs. Across six experiments and a sample of 3,059 US participants, we find reliable evidence for the argument dilution effect. Specifically, when commercials list severe side effects along with those that are most frequent (which include both serious and minor side effects), as required by the Food and Drug Administration, it dilutes consumers’ judgements of the overall severity of the side effects, compared with when only the serious side effects are listed. Furthermore, consumers’ reduced judgement of severity leads to greater attraction to those drugs. In regulating pharmaceutical advertisements, the Food and Drug Administration appear to have paradoxically dampened consumers’ judgements of overall severity and risk, and increased the marketability of these drugs. Direct-to-consumer advertising of pharmaceutical drugs requires mention of severe side effects, along with the most frequent. Sivanathan and Kakkar show that this practice dilutes consumers’ judgements of the overall severity of side effects More... »
PAGES797-802
http://scigraph.springernature.com/pub.10.1038/s41562-017-0223-1
DOIhttp://dx.doi.org/10.1038/s41562-017-0223-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1092102079
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "London Business School",
"id": "https://www.grid.ac/institutes/grid.14868.33",
"name": [
"Department of Organisational Behaviour, London Business School, Regent\u2019s Park, NW1 4SA, London, UK"
],
"type": "Organization"
},
"familyName": "Sivanathan",
"givenName": "Niro",
"id": "sg:person.01233676661.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233676661.20"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "London Business School",
"id": "https://www.grid.ac/institutes/grid.14868.33",
"name": [
"Department of Organisational Behaviour, London Business School, Regent\u2019s Park, NW1 4SA, London, UK"
],
"type": "Organization"
},
"familyName": "Kakkar",
"givenName": "Hemant",
"id": "sg:person.013732462245.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013732462245.08"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/978-1-4612-4964-1_1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005358988",
"https://doi.org/10.1007/978-1-4612-4964-1_1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/15265161.2013.776127",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009041181"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/h0034747",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018668002"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nbt0307-267",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021814234",
"https://doi.org/10.1038/nbt0307-267"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.324.7342.908",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022960066"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0022-3514.89.6.845",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028533438"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1214646110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030016915"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/h0030834",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033599944"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0030-5073(77)90053-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034207121"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0272989x11413289",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035785324"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0272989x11413289",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035785324"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1026595011371",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044655687",
"https://doi.org/10.1023/a:1026595011371"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0010-0285(81)90010-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045335329"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/h0040536",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048466918"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/338205",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058637726"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/651257",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058841102"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.138.3542.817",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062478447"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1257/000282803321947001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064524079"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1287/mnsc.32.5.554",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064720176"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1521/soco.1984.2.3.187",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1067636081"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074991409",
"type": "CreativeWork"
}
],
"datePublished": "2017-11",
"datePublishedReg": "2017-11-01",
"description": "Direct-to-consumer (DTC) advertising of pharmaceutical drugs is often cited as the culprit for inflated patient demand for advertised drugs. Further to this economic concern, we provide an evidence-based psychological account of another concern that warrants the re-examination of the merits of DTC advertising of prescription drugs. Across six experiments and a sample of 3,059 US participants, we find reliable evidence for the argument dilution effect. Specifically, when commercials list severe side effects along with those that are most frequent (which include both serious and minor side effects), as required by the Food and Drug Administration, it dilutes consumers\u2019 judgements of the overall severity of the side effects, compared with when only the serious side effects are listed. Furthermore, consumers\u2019 reduced judgement of severity leads to greater attraction to those drugs. In regulating pharmaceutical advertisements, the Food and Drug Administration appear to have paradoxically dampened consumers\u2019 judgements of overall severity and risk, and increased the marketability of these drugs. Direct-to-consumer advertising of pharmaceutical drugs requires mention of severe side effects, along with the most frequent. Sivanathan and Kakkar show that this practice dilutes consumers\u2019 judgements of the overall severity of side effects",
"genre": "research_article",
"id": "sg:pub.10.1038/s41562-017-0223-1",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1284453",
"issn": [
"2397-3374"
],
"name": "Nature Human Behaviour",
"type": "Periodical"
},
{
"issueNumber": "11",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "1"
}
],
"name": "The unintended consequences of argument dilution in direct-to-consumer drug advertisements",
"pagination": "797-802",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"c0613c39e4fa88b7854fae7c04474611f510a201abf5d358d7b404647777a38d"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41562-017-0223-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1092102079"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41562-017-0223-1",
"https://app.dimensions.ai/details/publication/pub.1092102079"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T16:04",
"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_8664_00000601.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41562-017-0223-1"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s41562-017-0223-1'
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/s41562-017-0223-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41562-017-0223-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41562-017-0223-1'
This table displays all metadata directly associated to this object as RDF triples.
129 TRIPLES
21 PREDICATES
47 URIs
19 LITERALS
7 BLANK NODES