Ontology type: schema:ScholarlyArticle Open Access: True
2022-04-27
AUTHORSRaymond Li, Kate Curtis, Connie Van, Syed Tabish Razi Zaidi, Chin Yen Yeo, Christina Arun Kali, Mithila Zaheen, Grace Therese Moujalli, Ronald Castelino
ABSTRACTPurposeAdverse drug reaction (ADR) underreporting is highly prevalent across the world. This study aimed to identify factors associated with ADR reporting and map these to a behavioural change framework to help inform future interventions designed to improve ADR underreporting.MethodsA mixed methods survey was distributed to healthcare professionals at a tertiary hospital in Sydney, Australia. Quantitative data was analysed using logistic regression to identify factors that predict ADR reporting. Qualitative data was evaluated using content analysis. These were then integrated and mapped to the 14 domains within the Theoretical Domains Framework (TDF) to identify target areas relevant for improving ADR reporting.ResultsOne hundred thirty-three healthcare professionals completed the survey. Knowing how to report ADRs (OR 4.56, 95%CI 1.95–10.7), having been trained on ADR reporting (OR 2.72, 95%CI 1.29–5.77), and encountering ADRs as part of clinical practice (OR 10.3, 95%CI 3.59–29.4) were significant predictors of reporting an ADR. Content analysis identified three categories: modifying the ADR reporting process, enabling clinicians to report ADRs, and creating a positive ADR reporting culture. After data integration, the three target TDF domains were knowledge, environmental context/resources, and beliefs about consequences.ConclusionFuture interventions designed to improve ADR reporting should address these target domains to instigate behaviour change in healthcare professionals’ reporting of ADRs. More... »
PAGES1-11
http://scigraph.springernature.com/pub.10.1007/s00228-022-03326-x
DOIhttp://dx.doi.org/10.1007/s00228-022-03326-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1147366092
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/35476123
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Faculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia",
"id": "http://www.grid.ac/institutes/grid.1013.3",
"name": [
"Faculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Raymond",
"id": "sg:person.012452762423.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012452762423.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Faculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia",
"id": "http://www.grid.ac/institutes/grid.1013.3",
"name": [
"Faculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia"
],
"type": "Organization"
},
"familyName": "Curtis",
"givenName": "Kate",
"id": "sg:person.01020431350.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020431350.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Faculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia",
"id": "http://www.grid.ac/institutes/grid.1013.3",
"name": [
"Faculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia"
],
"type": "Organization"
},
"familyName": "Van",
"givenName": "Connie",
"id": "sg:person.01371102021.34",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371102021.34"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Faculty of Medicine and Health, University of Leeds, Leeds, England",
"id": "http://www.grid.ac/institutes/grid.9909.9",
"name": [
"Faculty of Medicine and Health, University of Leeds, Leeds, England"
],
"type": "Organization"
},
"familyName": "Tabish Razi Zaidi",
"givenName": "Syed",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia",
"id": "http://www.grid.ac/institutes/grid.482212.f",
"name": [
"Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia"
],
"type": "Organization"
},
"familyName": "Yeo",
"givenName": "Chin Yen",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia",
"id": "http://www.grid.ac/institutes/grid.482212.f",
"name": [
"Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia"
],
"type": "Organization"
},
"familyName": "Arun Kali",
"givenName": "Christina",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia",
"id": "http://www.grid.ac/institutes/grid.482212.f",
"name": [
"Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia"
],
"type": "Organization"
},
"familyName": "Zaheen",
"givenName": "Mithila",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia",
"id": "http://www.grid.ac/institutes/grid.482212.f",
"name": [
"Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia"
],
"type": "Organization"
},
"familyName": "Therese Moujalli",
"givenName": "Grace",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia",
"id": "http://www.grid.ac/institutes/grid.482212.f",
"name": [
"Faculty of Medicine and Health, University of Sydney, Parramatta Rd, Camperdown NSW 2006, Sydney, Australia",
"Western Sydney Local Health District, Blacktown and Mt Druitt Hospital, Mt Druitt, Australia"
],
"type": "Organization"
},
"familyName": "Castelino",
"givenName": "Ronald",
"id": "sg:person.01061612172.12",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061612172.12"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s40264-016-0494-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027567367",
"https://doi.org/10.1007/s40264-016-0494-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13012-017-0572-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084251732",
"https://doi.org/10.1186/s13012-017-0572-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12913-019-4177-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1117842921",
"https://doi.org/10.1186/s12913-019-4177-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12911-016-0265-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019727782",
"https://doi.org/10.1186/s12911-016-0265-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.2165/00002018-200932010-00002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042490964",
"https://doi.org/10.2165/00002018-200932010-00002"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12916-016-0553-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051507374",
"https://doi.org/10.1186/s12916-016-0553-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11096-018-0700-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1106083779",
"https://doi.org/10.1007/s11096-018-0700-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40064-016-3382-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020336595",
"https://doi.org/10.1186/s40064-016-3382-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s40264-013-0058-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005809844",
"https://doi.org/10.1007/s40264-013-0058-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.2165/00002018-200528090-00007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036150914",
"https://doi.org/10.2165/00002018-200528090-00007"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1748-5908-7-38",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032986659",
"https://doi.org/10.1186/1748-5908-7-38"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13012-017-0605-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1086107205",
"https://doi.org/10.1186/s13012-017-0605-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13012-015-0302-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037262007",
"https://doi.org/10.1186/s13012-015-0302-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13012-019-0884-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1113960985",
"https://doi.org/10.1186/s13012-019-0884-4"
],
"type": "CreativeWork"
}
],
"datePublished": "2022-04-27",
"datePublishedReg": "2022-04-27",
"description": "Abstract \nPurposeAdverse drug reaction (ADR) underreporting is highly prevalent across the world. This study aimed to identify factors associated with ADR reporting and map these to a behavioural change framework to help inform future interventions designed to improve ADR underreporting.MethodsA mixed methods survey was distributed to\u00a0healthcare professionals\u00a0at a tertiary hospital in Sydney, Australia. Quantitative data was analysed using logistic regression to identify factors that predict ADR reporting. Qualitative data was evaluated using content analysis. These were then integrated and mapped to the 14 domains within the Theoretical Domains Framework (TDF) to identify target areas relevant for improving ADR reporting.ResultsOne hundred thirty-three healthcare professionals completed the survey. Knowing how to report ADRs (OR 4.56, 95%CI 1.95\u201310.7), having been trained on ADR reporting (OR 2.72, 95%CI 1.29\u20135.77), and encountering ADRs as part of clinical practice (OR 10.3, 95%CI 3.59\u201329.4) were significant predictors of reporting an ADR. Content analysis identified three categories:\u00a0modifying the ADR reporting process, enabling clinicians to report ADRs, and creating a positive ADR reporting culture. After data integration, the three target TDF domains\u00a0were\u00a0knowledge, environmental context/resources, and beliefs about consequences.ConclusionFuture interventions designed to improve ADR reporting should address these target domains to instigate behaviour change\u00a0in healthcare professionals\u2019\u00a0reporting of ADRs.",
"genre": "article",
"id": "sg:pub.10.1007/s00228-022-03326-x",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1054337",
"issn": [
"0031-6970",
"1432-1041"
],
"name": "European Journal of Clinical Pharmacology",
"publisher": "Springer Nature",
"type": "Periodical"
}
],
"keywords": [
"ADR reporting",
"Theoretical Domains Framework",
"healthcare professionals",
"ResultsOne hundred thirty",
"adverse drug reactions",
"environmental context/resources",
"hospital-based healthcare professionals",
"ADR reporting process",
"Domains Framework",
"tertiary hospital",
"drug reactions",
"behavioral change framework",
"clinical practice",
"logistic regression",
"future interventions",
"significant predictors",
"TDF domains",
"mixed-methods study",
"ADR",
"reporting culture",
"behavior change",
"intervention",
"methods study",
"professionals",
"reporting",
"hospital",
"content analysis",
"methods survey",
"clinicians",
"factors",
"underreporting",
"qualitative data",
"predictors",
"study",
"target area",
"survey",
"thirties",
"regression",
"quantitative data",
"data",
"reporting process",
"Sydney",
"analysis",
"change framework",
"culture",
"changes",
"practice",
"categories",
"consequences",
"knowledge",
"area",
"beliefs",
"Australia",
"domain",
"part",
"reaction",
"world",
"process",
"resources",
"integration",
"target domain",
"data integration",
"framework"
],
"name": "Why hospital-based healthcare professionals do not report adverse drug reactions: a mixed methods study using the Theoretical Domains Framework",
"pagination": "1-11",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1147366092"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00228-022-03326-x"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"35476123"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00228-022-03326-x",
"https://app.dimensions.ai/details/publication/pub.1147366092"
],
"sdDataset": "articles",
"sdDatePublished": "2022-06-01T22:25",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_926.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s00228-022-03326-x"
}
]
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.10.1007/s00228-022-03326-x'
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/s00228-022-03326-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00228-022-03326-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00228-022-03326-x'
This table displays all metadata directly associated to this object as RDF triples.
233 TRIPLES
22 PREDICATES
101 URIs
79 LITERALS
5 BLANK NODES