Comparison of treatment of early-stage breast cancer among Nurses’ Health Study participants and other Medicare beneficiaries View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Andrea M. Austin, Nirav S. Kapadia, Gabriel A. Brooks, Tracy L. Onega, A. Heather Eliassen, Rulla M. Tamimi, Michelle Holmes, Qianfei Wang, Francine Grodstein, Anna N. A. Tosteson

ABSTRACT

PURPOSE: Increasingly epidemiological cohorts are being linked to claims data to provide rich data for healthcare research. These cohorts tend to be different than the general United States (US) population. We will analyze healthcare utilization of Nurses' Health Study (NHS) participants to determine if studies of newly diagnosed incident early-stage breast cancer can be generalized to the broader US Medicare population. METHODS: Analytic cohorts of fee-for-service NHS-Medicare-linked participants and a 1:13 propensity-matched SEER-Medicare cohort (SEER) with incident breast cancer in the years 2007-2011 were considered. Screening leading to, treatment-related, and general utilization in the year following early-stage breast cancer diagnosis were determined using Medicare claims data. RESULTS: After propensity matching, NHS and SEER were statistically balanced on all demographics. NHS and SEER had statistically similar rates of treatments including chemotherapy, breast-conserving surgery, mastectomy, and overall radiation use. Rates of general utilization include those related to hospitalizations, total visits, and emergency department visits were also balanced between the two groups. Total spending in the year following diagnosis were statistically equivalent for NHS and SEER ($36,180 vs. $35,399, p = 0.70). CONCLUSIONS: NHS and the general female population had comparable treatment and utilization patterns following diagnosis of early-stage incident breast cancers with the exception of type of radiation therapy received. This study provides support for the larger value of population-based cohorts in research on healthcare costs and utilization in breast cancer. More... »

PAGES

759-767

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-018-05098-4

DOI

http://dx.doi.org/10.1007/s10549-018-05098-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111097706

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30607634


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Austin", 
        "givenName": "Andrea M.", 
        "id": "sg:person.013773317145.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013773317145.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dartmouth\u2013Hitchcock Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413480.a", 
          "name": [
            "The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA", 
            "Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA", 
            "Norris Cotton Cancer Center, Lebanon, NH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kapadia", 
        "givenName": "Nirav S.", 
        "id": "sg:person.01353117734.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353117734.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dartmouth\u2013Hitchcock Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413480.a", 
          "name": [
            "The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA", 
            "Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA", 
            "Norris Cotton Cancer Center, Lebanon, NH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brooks", 
        "givenName": "Gabriel A.", 
        "id": "sg:person.01030175606.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030175606.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dartmouth\u2013Hitchcock Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413480.a", 
          "name": [
            "The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA", 
            "Norris Cotton Cancer Center, Lebanon, NH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Onega", 
        "givenName": "Tracy L.", 
        "id": "sg:person.01020160177.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020160177.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Channing Division of Network Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA", 
            "Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eliassen", 
        "givenName": "A. Heather", 
        "id": "sg:person.0753243413.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753243413.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Channing Division of Network Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA", 
            "Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tamimi", 
        "givenName": "Rulla M.", 
        "id": "sg:person.01117365224.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117365224.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holmes", 
        "givenName": "Michelle", 
        "id": "sg:person.01251446031.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251446031.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Qianfei", 
        "id": "sg:person.0702514307.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702514307.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Channing Division of Network Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA", 
            "Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grodstein", 
        "givenName": "Francine", 
        "id": "sg:person.016044731237.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016044731237.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dartmouth\u2013Hitchcock Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413480.a", 
          "name": [
            "The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA", 
            "Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA", 
            "Norris Cotton Cancer Center, Lebanon, NH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tosteson", 
        "givenName": "Anna N. A.", 
        "id": "sg:person.012234200657.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012234200657.45"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ijrobp.2016.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004357137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.30167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005889994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.annepidem.2007.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005970465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djj376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010955308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.3697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014989870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.3697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014989870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.2016.303325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016158849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejme1008369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016736835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(00)00256-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022482018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.29968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024923630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00273171.2011.568786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026060254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026125304", 
          "https://doi.org/10.1038/ng.3412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026125304", 
          "https://doi.org/10.1038/ng.3412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a009963", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028672430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2013.08.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030021594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000223480.52713.b9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039145535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000223480.52713.b9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039145535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2014.16616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040035176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jval.2015.08.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041140079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.293.20.2479", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048369219"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng2075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049470927", 
          "https://doi.org/10.1038/ng2075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pst.433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052069221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200208001-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052576224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200208001-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052576224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/fon.13.64", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053165264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-017-4118-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083535039", 
          "https://doi.org/10.1007/s10549-017-4118-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-017-4118-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083535039", 
          "https://doi.org/10.1007/s10549-017-4118-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jrr/rrx084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099890902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0000000000000875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100379128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0000000000000875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100379128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/jwh.2017.6802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106155291"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "PURPOSE: Increasingly epidemiological cohorts are being linked to claims data to provide rich data for healthcare research. These cohorts tend to be different than the general United States (US) population. We will analyze healthcare utilization of Nurses' Health Study (NHS) participants to determine if studies of newly diagnosed incident early-stage breast cancer can be generalized to the broader US Medicare population.\nMETHODS: Analytic cohorts of fee-for-service NHS-Medicare-linked participants and a 1:13 propensity-matched SEER-Medicare cohort (SEER) with incident breast cancer in the years 2007-2011 were considered. Screening leading to, treatment-related, and general utilization in the year following early-stage breast cancer diagnosis were determined using Medicare claims data.\nRESULTS: After propensity matching, NHS and SEER were statistically balanced on all demographics. NHS and SEER had statistically similar rates of treatments including chemotherapy, breast-conserving surgery, mastectomy, and overall radiation use. Rates of general utilization include those related to hospitalizations, total visits, and emergency department visits were also balanced between the two groups. Total spending in the year following diagnosis were statistically equivalent for NHS and SEER ($36,180 vs. $35,399, p\u2009=\u20090.70).\nCONCLUSIONS: NHS and the general female population had comparable treatment and utilization patterns following diagnosis of early-stage incident breast cancers with the exception of type of radiation therapy received. This study provides support for the larger value of population-based cohorts in research on healthcare costs and utilization in breast cancer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10549-018-05098-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3801883", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1092777", 
        "issn": [
          "0167-6806", 
          "1573-7217"
        ], 
        "name": "Breast Cancer Research and Treatment", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "174"
      }
    ], 
    "name": "Comparison of treatment of early-stage breast cancer among Nurses\u2019 Health Study participants and other Medicare beneficiaries", 
    "pagination": "759-767", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "42207d6807630825c86150eed9ecbeead356059cd2429fb2870ff6eb4764be78"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30607634"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8111104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10549-018-05098-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111097706"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10549-018-05098-4", 
      "https://app.dimensions.ai/details/publication/pub.1111097706"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:56", 
    "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/v90/0000000371_0000000371/records_130814_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10549-018-05098-4"
  }
]
 

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/s10549-018-05098-4'

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/s10549-018-05098-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-018-05098-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-018-05098-4'


 

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

222 TRIPLES      21 PREDICATES      54 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10549-018-05098-4 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nbb11b5ed487f40fb91aea169e5c9cdac
4 schema:citation sg:pub.10.1007/s10549-017-4118-7
5 sg:pub.10.1038/ng.3412
6 sg:pub.10.1038/ng2075
7 https://doi.org/10.1001/jama.2014.16616
8 https://doi.org/10.1001/jama.293.20.2479
9 https://doi.org/10.1002/ijc.29968
10 https://doi.org/10.1002/ijc.30167
11 https://doi.org/10.1002/pst.433
12 https://doi.org/10.1002/sim.3697
13 https://doi.org/10.1016/j.annepidem.2007.03.011
14 https://doi.org/10.1016/j.ejca.2013.08.013
15 https://doi.org/10.1016/j.ijrobp.2016.11.009
16 https://doi.org/10.1016/j.jval.2015.08.008
17 https://doi.org/10.1016/s0895-4356(00)00256-0
18 https://doi.org/10.1056/nejme1008369
19 https://doi.org/10.1080/00273171.2011.568786
20 https://doi.org/10.1089/jwh.2017.6802
21 https://doi.org/10.1093/jnci/djj376
22 https://doi.org/10.1093/jrr/rrx084
23 https://doi.org/10.1093/oxfordjournals.aje.a009963
24 https://doi.org/10.1097/00005650-200208001-00002
25 https://doi.org/10.1097/01.mlr.0000223480.52713.b9
26 https://doi.org/10.1097/mlr.0000000000000875
27 https://doi.org/10.2105/ajph.2016.303325
28 https://doi.org/10.2217/fon.13.64
29 schema:datePublished 2019-04
30 schema:datePublishedReg 2019-04-01
31 schema:description PURPOSE: Increasingly epidemiological cohorts are being linked to claims data to provide rich data for healthcare research. These cohorts tend to be different than the general United States (US) population. We will analyze healthcare utilization of Nurses' Health Study (NHS) participants to determine if studies of newly diagnosed incident early-stage breast cancer can be generalized to the broader US Medicare population. METHODS: Analytic cohorts of fee-for-service NHS-Medicare-linked participants and a 1:13 propensity-matched SEER-Medicare cohort (SEER) with incident breast cancer in the years 2007-2011 were considered. Screening leading to, treatment-related, and general utilization in the year following early-stage breast cancer diagnosis were determined using Medicare claims data. RESULTS: After propensity matching, NHS and SEER were statistically balanced on all demographics. NHS and SEER had statistically similar rates of treatments including chemotherapy, breast-conserving surgery, mastectomy, and overall radiation use. Rates of general utilization include those related to hospitalizations, total visits, and emergency department visits were also balanced between the two groups. Total spending in the year following diagnosis were statistically equivalent for NHS and SEER ($36,180 vs. $35,399, p = 0.70). CONCLUSIONS: NHS and the general female population had comparable treatment and utilization patterns following diagnosis of early-stage incident breast cancers with the exception of type of radiation therapy received. This study provides support for the larger value of population-based cohorts in research on healthcare costs and utilization in breast cancer.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N7f5d3bd111c844f69a2a2a63870f6f7b
36 Ne0c1e7f80e494247900d7854e11cee18
37 sg:journal.1092777
38 schema:name Comparison of treatment of early-stage breast cancer among Nurses’ Health Study participants and other Medicare beneficiaries
39 schema:pagination 759-767
40 schema:productId N11e04f1ff75a4687b47f17e5dba7fb24
41 N7e856bae9a3f439abecde858cccb6644
42 N82188d455d8c49438d6eba6182fc1495
43 Nb70f1b1fd6734cbfb8e7690056c78fd3
44 Nc33b6fdf64424aa89ea2c23fad9162f2
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111097706
46 https://doi.org/10.1007/s10549-018-05098-4
47 schema:sdDatePublished 2019-04-11T13:56
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher Nab92c18a8a9e412d84d3e0bcf25fa4f8
50 schema:url https://link.springer.com/10.1007%2Fs10549-018-05098-4
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N11e04f1ff75a4687b47f17e5dba7fb24 schema:name doi
55 schema:value 10.1007/s10549-018-05098-4
56 rdf:type schema:PropertyValue
57 N147754e0471d4fd29d86edae2cc89ece rdf:first sg:person.012234200657.45
58 rdf:rest rdf:nil
59 N19d290cd0a184133be232e8860a75c69 rdf:first sg:person.0753243413.17
60 rdf:rest N70ff85f1662141eb88f645be1e55336e
61 N1c06731605ee4689b0667e4ee183d468 schema:name The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA
62 rdf:type schema:Organization
63 N273c0d66ca084d15839fb3c1fbbcc395 rdf:first sg:person.01020160177.55
64 rdf:rest N19d290cd0a184133be232e8860a75c69
65 N52925ab6a1624943a78b6064d322b139 rdf:first sg:person.0702514307.69
66 rdf:rest Nddec6fd51e004144898e79bc805c69c2
67 N70ff85f1662141eb88f645be1e55336e rdf:first sg:person.01117365224.55
68 rdf:rest Nb509598994e34123a3bebf6a81f68bf0
69 N7174fc00d8404eb49df5482ae807fd6c rdf:first sg:person.01030175606.13
70 rdf:rest N273c0d66ca084d15839fb3c1fbbcc395
71 N7e856bae9a3f439abecde858cccb6644 schema:name nlm_unique_id
72 schema:value 8111104
73 rdf:type schema:PropertyValue
74 N7f5d3bd111c844f69a2a2a63870f6f7b schema:issueNumber 3
75 rdf:type schema:PublicationIssue
76 N82188d455d8c49438d6eba6182fc1495 schema:name readcube_id
77 schema:value 42207d6807630825c86150eed9ecbeead356059cd2429fb2870ff6eb4764be78
78 rdf:type schema:PropertyValue
79 Nab92c18a8a9e412d84d3e0bcf25fa4f8 schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 Nb0f61f9d8d6f46609aa440df247afff6 rdf:first sg:person.01353117734.97
82 rdf:rest N7174fc00d8404eb49df5482ae807fd6c
83 Nb509598994e34123a3bebf6a81f68bf0 rdf:first sg:person.01251446031.09
84 rdf:rest N52925ab6a1624943a78b6064d322b139
85 Nb70f1b1fd6734cbfb8e7690056c78fd3 schema:name dimensions_id
86 schema:value pub.1111097706
87 rdf:type schema:PropertyValue
88 Nbb11b5ed487f40fb91aea169e5c9cdac rdf:first sg:person.013773317145.85
89 rdf:rest Nb0f61f9d8d6f46609aa440df247afff6
90 Nc33b6fdf64424aa89ea2c23fad9162f2 schema:name pubmed_id
91 schema:value 30607634
92 rdf:type schema:PropertyValue
93 Ndb50f75281e9406f9f81576bb428f222 schema:name The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA
94 rdf:type schema:Organization
95 Nddec6fd51e004144898e79bc805c69c2 rdf:first sg:person.016044731237.31
96 rdf:rest N147754e0471d4fd29d86edae2cc89ece
97 Ne0c1e7f80e494247900d7854e11cee18 schema:volumeNumber 174
98 rdf:type schema:PublicationVolume
99 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
100 schema:name Medical and Health Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
103 schema:name Public Health and Health Services
104 rdf:type schema:DefinedTerm
105 sg:grant.3801883 http://pending.schema.org/fundedItem sg:pub.10.1007/s10549-018-05098-4
106 rdf:type schema:MonetaryGrant
107 sg:journal.1092777 schema:issn 0167-6806
108 1573-7217
109 schema:name Breast Cancer Research and Treatment
110 rdf:type schema:Periodical
111 sg:person.01020160177.55 schema:affiliation https://www.grid.ac/institutes/grid.413480.a
112 schema:familyName Onega
113 schema:givenName Tracy L.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020160177.55
115 rdf:type schema:Person
116 sg:person.01030175606.13 schema:affiliation https://www.grid.ac/institutes/grid.413480.a
117 schema:familyName Brooks
118 schema:givenName Gabriel A.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030175606.13
120 rdf:type schema:Person
121 sg:person.01117365224.55 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
122 schema:familyName Tamimi
123 schema:givenName Rulla M.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117365224.55
125 rdf:type schema:Person
126 sg:person.012234200657.45 schema:affiliation https://www.grid.ac/institutes/grid.413480.a
127 schema:familyName Tosteson
128 schema:givenName Anna N. A.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012234200657.45
130 rdf:type schema:Person
131 sg:person.01251446031.09 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
132 schema:familyName Holmes
133 schema:givenName Michelle
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251446031.09
135 rdf:type schema:Person
136 sg:person.01353117734.97 schema:affiliation https://www.grid.ac/institutes/grid.413480.a
137 schema:familyName Kapadia
138 schema:givenName Nirav S.
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353117734.97
140 rdf:type schema:Person
141 sg:person.013773317145.85 schema:affiliation N1c06731605ee4689b0667e4ee183d468
142 schema:familyName Austin
143 schema:givenName Andrea M.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013773317145.85
145 rdf:type schema:Person
146 sg:person.016044731237.31 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
147 schema:familyName Grodstein
148 schema:givenName Francine
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016044731237.31
150 rdf:type schema:Person
151 sg:person.0702514307.69 schema:affiliation Ndb50f75281e9406f9f81576bb428f222
152 schema:familyName Wang
153 schema:givenName Qianfei
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702514307.69
155 rdf:type schema:Person
156 sg:person.0753243413.17 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
157 schema:familyName Eliassen
158 schema:givenName A. Heather
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753243413.17
160 rdf:type schema:Person
161 sg:pub.10.1007/s10549-017-4118-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083535039
162 https://doi.org/10.1007/s10549-017-4118-7
163 rdf:type schema:CreativeWork
164 sg:pub.10.1038/ng.3412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026125304
165 https://doi.org/10.1038/ng.3412
166 rdf:type schema:CreativeWork
167 sg:pub.10.1038/ng2075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049470927
168 https://doi.org/10.1038/ng2075
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1001/jama.2014.16616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040035176
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1001/jama.293.20.2479 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048369219
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1002/ijc.29968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024923630
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1002/ijc.30167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005889994
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1002/pst.433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052069221
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1002/sim.3697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014989870
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.annepidem.2007.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005970465
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.ejca.2013.08.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030021594
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.ijrobp.2016.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004357137
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.jval.2015.08.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041140079
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/s0895-4356(00)00256-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022482018
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1056/nejme1008369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016736835
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1080/00273171.2011.568786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026060254
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1089/jwh.2017.6802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106155291
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1093/jnci/djj376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010955308
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1093/jrr/rrx084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099890902
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1093/oxfordjournals.aje.a009963 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028672430
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1097/00005650-200208001-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052576224
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1097/01.mlr.0000223480.52713.b9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039145535
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1097/mlr.0000000000000875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100379128
209 rdf:type schema:CreativeWork
210 https://doi.org/10.2105/ajph.2016.303325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016158849
211 rdf:type schema:CreativeWork
212 https://doi.org/10.2217/fon.13.64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053165264
213 rdf:type schema:CreativeWork
214 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
215 schema:name Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
216 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
217 rdf:type schema:Organization
218 https://www.grid.ac/institutes/grid.413480.a schema:alternateName Dartmouth–Hitchcock Medical Center
219 schema:name Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
220 Norris Cotton Cancer Center, Lebanon, NH, USA
221 The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth, Hanover, NH, USA
222 rdf:type schema:Organization
 




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


...