Ontology type: schema:ScholarlyArticle
2019-02
AUTHORST. A. K. Gandamihardja, T. Soukup, S. McInerney, J. S. A. Green, N. Sevdalis
ABSTRACTBACKGROUND: Multidisciplinary team (MDT)-driven cancer care is a mandatory UK national policy, widely used globally. However, few studies have examined how MDT members make decisions as a team. We report a single-centre prospective study on team working within breast cancer MDT. METHODS: This was a prospective observational study of 10 breast MDT meetings (MDM). Trained clinical observer scored quality of presented information and disciplinary contribution to case reviews in real time, using a validated tool, namely Metric for the Observation of Decision-Making. Data were analysed to evaluate quality of team working. RESULTS: Ten MDMs were observed (N = 346 patients). An average of 42 patients were discussed per MDM (range: 29-51) with an average 3 min 20 s (range: 31 s-9 min) dedicated to each patient. Management decision was made in 99% of cases. In terms of contribution to case reviews, breast care nurses scored significantly (p < 0.05) lower (M = 1.79, SD = 0.12) compared to other team members (e.g. surgeons, M = 4.65; oncologists, M = 3.07; pathologists, M = 4.51; radiologists, M = 3.21). Information on patient psychosocial aspects (M = 1.69, SD = 0.68), comorbidities (M = 1.36, SD = 0.39) and views on treatment options (M = 1.47, SD = 0.34) was also significantly (p < 0.05) less well represented compared to radiology (M = 3.62, SD = 0.77), pathology (M = 4.42, SD = 0.49) and patient history (M = 3.91, SD = 0.48). CONCLUSION: MDT evaluation via direct observation in a meeting is feasible and reliable. We found consistent levels of quality of information coverage and contribution within the team, but certain aspects could be improved. Contribution to patient review resides predominantly with surgeons, while presented patient information is largely of biomedical nature. These findings can be fed to cancer MDTs to identify potential interventions for improvement. More... »
PAGES1-8
http://scigraph.springernature.com/pub.10.1007/s00268-018-4815-3
DOIhttp://dx.doi.org/10.1007/s00268-018-4815-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1107953043
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30382292
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": "Broomfield Hospital",
"id": "https://www.grid.ac/institutes/grid.414650.2",
"name": [
"Chelmsford Breast Unit, Broomfield Hospital, Chelmsford, Essex, UK"
],
"type": "Organization"
},
"familyName": "Gandamihardja",
"givenName": "T. A. K.",
"id": "sg:person.016510064123.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016510064123.30"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "King's College London",
"id": "https://www.grid.ac/institutes/grid.13097.3c",
"name": [
"Centre for Implementation Science, Health Service and Population Research Department, King\u2019s College London, London, UK"
],
"type": "Organization"
},
"familyName": "Soukup",
"givenName": "T.",
"id": "sg:person.01203723457.37",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203723457.37"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Charing Cross Hospital",
"id": "https://www.grid.ac/institutes/grid.413820.c",
"name": [
"Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK"
],
"type": "Organization"
},
"familyName": "McInerney",
"givenName": "S.",
"id": "sg:person.010464456540.12",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010464456540.12"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Whipps Cross University Hospital",
"id": "https://www.grid.ac/institutes/grid.439471.c",
"name": [
"Department of Urology, Whipps Cross University Hospital, Barts Health NHS Trust, London, UK"
],
"type": "Organization"
},
"familyName": "Green",
"givenName": "J. S. A.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "King's College London",
"id": "https://www.grid.ac/institutes/grid.13097.3c",
"name": [
"Centre for Implementation Science, Health Service and Population Research Department, King\u2019s College London, London, UK"
],
"type": "Organization"
},
"familyName": "Sevdalis",
"givenName": "N.",
"id": "sg:person.0751765273.95",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751765273.95"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1158/1055-9965.epi-05-0317",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003910889"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00268-011-1152-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006249422",
"https://doi.org/10.1007/s00268-011-1152-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/annonc/mdr453",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007903305"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ejca.2006.05.023",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014285109"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ejso.2007.04.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014727657"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijsu.2013.02.026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017527055"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jso.21589",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021589556"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jso.21589",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021589556"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1245/s10434-012-2691-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022912011",
"https://doi.org/10.1245/s10434-012-2691-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmjqs.2010.048660",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024143564"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmjqs.2010.048660",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024143564"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ejso.2009.01.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031180521"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/md.0000000000003885",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031782870"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/md.0000000000003885",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031782870"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1245/s10434-011-1773-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036776354",
"https://doi.org/10.1245/s10434-011-1773-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1245/s10434-016-5347-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037885458",
"https://doi.org/10.1245/s10434-016-5347-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1245/s10434-016-5347-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037885458",
"https://doi.org/10.1245/s10434-016-5347-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1245/s10434-011-1675-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041468837",
"https://doi.org/10.1245/s10434-011-1675-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/sla.0b013e318279560b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041964100"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/sla.0b013e318279560b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041964100"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/bjc.2013.267",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045870983",
"https://doi.org/10.1038/bjc.2013.267"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1470-2045(06)70940-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046611251"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00464-014-3545-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048153030",
"https://doi.org/10.1007/s00464-014-3545-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.suronc.2010.07.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048608861"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1245/s10434-011-2187-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048894433",
"https://doi.org/10.1245/s10434-011-2187-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/cncr.22266",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051661140"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.e2718",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052096249"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-02",
"datePublishedReg": "2019-02-01",
"description": "BACKGROUND: Multidisciplinary team (MDT)-driven cancer care is a mandatory UK national policy, widely used globally. However, few studies have examined how MDT members make decisions as a team. We report a single-centre prospective study on team working within breast cancer MDT.\nMETHODS: This was a prospective observational study of 10 breast MDT meetings (MDM). Trained clinical observer scored quality of presented information and disciplinary contribution to case reviews in real time, using a validated tool, namely Metric for the Observation of Decision-Making. Data were analysed to evaluate quality of team working.\nRESULTS: Ten MDMs were observed (N\u2009=\u2009346 patients). An average of 42 patients were discussed per MDM (range: 29-51) with an average 3\u00a0min 20\u00a0s (range: 31\u00a0s-9\u00a0min) dedicated to each patient. Management decision was made in 99% of cases. In terms of contribution to case reviews, breast care nurses scored significantly (p\u2009<\u20090.05) lower (M\u2009=\u20091.79, SD\u2009=\u20090.12) compared to other team members (e.g. surgeons, M\u2009=\u20094.65; oncologists, M\u2009=\u20093.07; pathologists, M\u2009=\u20094.51; radiologists, M\u2009=\u20093.21). Information on patient psychosocial aspects (M\u2009=\u20091.69, SD\u2009=\u20090.68), comorbidities (M\u2009=\u20091.36, SD\u2009=\u20090.39) and views on treatment options (M\u2009=\u20091.47, SD\u2009=\u20090.34) was also significantly (p\u2009<\u20090.05) less well represented compared to radiology (M\u2009=\u20093.62, SD\u2009=\u20090.77), pathology (M\u2009=\u20094.42, SD\u2009=\u20090.49) and patient history (M\u2009=\u20093.91, SD\u2009=\u20090.48).\nCONCLUSION: MDT evaluation via direct observation in a meeting is feasible and reliable. We found consistent levels of quality of information coverage and contribution within the team, but certain aspects could be improved. Contribution to patient review resides predominantly with surgeons, while presented patient information is largely of biomedical nature. These findings can be fed to cancer MDTs to identify potential interventions for improvement.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00268-018-4815-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1086446",
"issn": [
"0364-2313",
"1432-2323"
],
"name": "World Journal of Surgery",
"type": "Periodical"
}
],
"name": "Analysing Breast Cancer Multidisciplinary Patient Management: A Prospective Observational Evaluation of Team Clinical Decision-Making",
"pagination": "1-8",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"b09a1fce2aa436290a552643edcbe1962d0866e6d8db8892534eeea80693050c"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30382292"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"7704052"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00268-018-4815-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1107953043"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00268-018-4815-3",
"https://app.dimensions.ai/details/publication/pub.1107953043"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T21:48",
"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_00000575.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs00268-018-4815-3"
}
]
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/s00268-018-4815-3'
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/s00268-018-4815-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00268-018-4815-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00268-018-4815-3'
This table displays all metadata directly associated to this object as RDF triples.
173 TRIPLES
21 PREDICATES
49 URIs
19 LITERALS
7 BLANK NODES