Patient characteristics associated with undergoing cancer operations at low-volume hospitals
Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume hospitals. Patients were identified from the National Cancer Data Base from 2010–2013 who underwent resection for bladder, breast, esophagus, lung, pancreas, rec...
Saved in:
Published in | Surgery Vol. 161; no. 2; pp. 433 - 443 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.02.2017
|
Subjects | |
Online Access | Get full text |
ISSN | 0039-6060 1532-7361 1532-7361 |
DOI | 10.1016/j.surg.2016.07.027 |
Cover
Abstract | Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume hospitals.
Patients were identified from the National Cancer Data Base from 2010–2013 who underwent resection for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers. Low-volume hospitals were defined as those in the bottom quartile by surgical volume for each cancer type separately. Logistic regression models were constructed to assess patient-level factors associated with undergoing cancer surgery at low-volume hospitals across cancer types while controlling for tumor characteristics. Survival outcomes (30- and 90-day mortality; overall survival) were also assessed.
Low volume thresholds were 4, 84, 4, 18, 8, 7, and 4 resections per year for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers, respectively, resulting in 772 (74.1%), 828 (57.5%), 664 (77.5%), 830 (64.7%), 716 (79.2%), 898 (65.1%), and 888 (68.5%) hospitals classified as low-volume hospitals, respectively. For all the cancers examined, patients were more likely to undergo operation at low-volume hospitals if they traveled shorter distances (home to surgical facility), resided in rural locations, or had not received neoadjuvant therapy. Other patient and tumor factors were not associated consistently with undergoing operation at low-volume hospitals. Patients who went to low-volume hospitals had poorer outcomes among the studied cancers.
Patients continue to undergo operation at low-volume hospitals due to where they live and how far they have to travel. Regionalization policy initiatives will remain challenging in this population. Efforts should therefore continue to emphasize quality improvement locally at each facility caring for patients with cancer. |
---|---|
AbstractList | Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume hospitals.
Patients were identified from the National Cancer Data Base from 2010–2013 who underwent resection for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers. Low-volume hospitals were defined as those in the bottom quartile by surgical volume for each cancer type separately. Logistic regression models were constructed to assess patient-level factors associated with undergoing cancer surgery at low-volume hospitals across cancer types while controlling for tumor characteristics. Survival outcomes (30- and 90-day mortality; overall survival) were also assessed.
Low volume thresholds were 4, 84, 4, 18, 8, 7, and 4 resections per year for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers, respectively, resulting in 772 (74.1%), 828 (57.5%), 664 (77.5%), 830 (64.7%), 716 (79.2%), 898 (65.1%), and 888 (68.5%) hospitals classified as low-volume hospitals, respectively. For all the cancers examined, patients were more likely to undergo operation at low-volume hospitals if they traveled shorter distances (home to surgical facility), resided in rural locations, or had not received neoadjuvant therapy. Other patient and tumor factors were not associated consistently with undergoing operation at low-volume hospitals. Patients who went to low-volume hospitals had poorer outcomes among the studied cancers.
Patients continue to undergo operation at low-volume hospitals due to where they live and how far they have to travel. Regionalization policy initiatives will remain challenging in this population. Efforts should therefore continue to emphasize quality improvement locally at each facility caring for patients with cancer. Background Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume hospitals. Methods Patients were identified from the National Cancer Data Base from 2010–2013 who underwent resection for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers. Low-volume hospitals were defined as those in the bottom quartile by surgical volume for each cancer type separately. Logistic regression models were constructed to assess patient-level factors associated with undergoing cancer surgery at low-volume hospitals across cancer types while controlling for tumor characteristics. Survival outcomes (30- and 90-day mortality; overall survival) were also assessed. Results Low volume thresholds were 4, 84, 4, 18, 8, 7, and 4 resections per year for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers, respectively, resulting in 772 (74.1%), 828 (57.5%), 664 (77.5%), 830 (64.7%), 716 (79.2%), 898 (65.1%), and 888 (68.5%) hospitals classified as low-volume hospitals, respectively. For all the cancers examined, patients were more likely to undergo operation at low-volume hospitals if they traveled shorter distances (home to surgical facility), resided in rural locations, or had not received neoadjuvant therapy. Other patient and tumor factors were not associated consistently with undergoing operation at low-volume hospitals. Patients who went to low-volume hospitals had poorer outcomes among the studied cancers. Conclusion Patients continue to undergo operation at low-volume hospitals due to where they live and how far they have to travel. Regionalization policy initiatives will remain challenging in this population. Efforts should therefore continue to emphasize quality improvement locally at each facility caring for patients with cancer. Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume hospitals.BACKGROUNDAlthough strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume hospitals.Patients were identified from the National Cancer Data Base from 2010-2013 who underwent resection for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers. Low-volume hospitals were defined as those in the bottom quartile by surgical volume for each cancer type separately. Logistic regression models were constructed to assess patient-level factors associated with undergoing cancer surgery at low-volume hospitals across cancer types while controlling for tumor characteristics. Survival outcomes (30- and 90-day mortality; overall survival) were also assessed.METHODSPatients were identified from the National Cancer Data Base from 2010-2013 who underwent resection for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers. Low-volume hospitals were defined as those in the bottom quartile by surgical volume for each cancer type separately. Logistic regression models were constructed to assess patient-level factors associated with undergoing cancer surgery at low-volume hospitals across cancer types while controlling for tumor characteristics. Survival outcomes (30- and 90-day mortality; overall survival) were also assessed.Low volume thresholds were 4, 84, 4, 18, 8, 7, and 4 resections per year for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers, respectively, resulting in 772 (74.1%), 828 (57.5%), 664 (77.5%), 830 (64.7%), 716 (79.2%), 898 (65.1%), and 888 (68.5%) hospitals classified as low-volume hospitals, respectively. For all the cancers examined, patients were more likely to undergo operation at low-volume hospitals if they traveled shorter distances (home to surgical facility), resided in rural locations, or had not received neoadjuvant therapy. Other patient and tumor factors were not associated consistently with undergoing operation at low-volume hospitals. Patients who went to low-volume hospitals had poorer outcomes among the studied cancers.RESULTSLow volume thresholds were 4, 84, 4, 18, 8, 7, and 4 resections per year for bladder, breast, esophagus, lung, pancreas, rectum, and stomach cancers, respectively, resulting in 772 (74.1%), 828 (57.5%), 664 (77.5%), 830 (64.7%), 716 (79.2%), 898 (65.1%), and 888 (68.5%) hospitals classified as low-volume hospitals, respectively. For all the cancers examined, patients were more likely to undergo operation at low-volume hospitals if they traveled shorter distances (home to surgical facility), resided in rural locations, or had not received neoadjuvant therapy. Other patient and tumor factors were not associated consistently with undergoing operation at low-volume hospitals. Patients who went to low-volume hospitals had poorer outcomes among the studied cancers.Patients continue to undergo operation at low-volume hospitals due to where they live and how far they have to travel. Regionalization policy initiatives will remain challenging in this population. Efforts should therefore continue to emphasize quality improvement locally at each facility caring for patients with cancer.CONCLUSIONPatients continue to undergo operation at low-volume hospitals due to where they live and how far they have to travel. Regionalization policy initiatives will remain challenging in this population. Efforts should therefore continue to emphasize quality improvement locally at each facility caring for patients with cancer. |
Author | Mallin, Katherine Liu, Jason B. Bilimoria, Karl Y. Winchester, David P. |
Author_xml | – sequence: 1 givenname: Jason B. surname: Liu fullname: Liu, Jason B. email: jliu@facs.org organization: Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, IL – sequence: 2 givenname: Karl Y. surname: Bilimoria fullname: Bilimoria, Karl Y. organization: Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, IL – sequence: 3 givenname: Katherine surname: Mallin fullname: Mallin, Katherine organization: Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, IL – sequence: 4 givenname: David P. surname: Winchester fullname: Winchester, David P. organization: Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, IL |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27590617$$D View this record in MEDLINE/PubMed |
BookMark | eNqFkk1r3DAQhkVJaTZp_0APxcde7I4kW7JLKYTQLwg0kOYWELI83tXWK20lOSH_vjKbXAJNTyPB-4w0j3RCjpx3SMhbChUFKj5sqziHdcXyugJZAZMvyIo2nJWSC3pEVgC8KwUIOCYnMW4BoKtp-4ocM9l0IKhckZtLnSy6VJiNDtokDDYma2KhY_TG6oRDcWfTppjdgGHtrVsXRjuDofB7DBn2LodTMfm78tZP8w6LjY97m_QUX5OXYy745qGekuuvX36dfy8vfn77cX52UZp82VS2rZEN1G1NGwSjG8b7dhR8NOMgNMeBQj9inwuiQOh74DpHmezqhud9w0_J-0PfffB_ZoxJ7Ww0OE3aoZ-jom3TSSo6Djn67iE69zsc1D7YnQ736tFIDrSHgAk-xoCjMnmWZcwUtJ0UBbXIV1u1yFeLfAVSZfkZZU_Qx-7PQp8OEGZBtxaDiiY_iMHBBjRJDd4-j39-gpvJOmv09BvvMW79HFxWr6iKTIG6Wr7E8iOo4FADW4R8_HeD_53-F-jRyBI |
CitedBy_id | crossref_primary_10_1002_cam4_1756 crossref_primary_10_1016_j_athoracsur_2022_03_022 crossref_primary_10_1245_s10434_022_13029_3 crossref_primary_10_1016_j_soc_2018_05_009 crossref_primary_10_1001_jamasurg_2024_5009 crossref_primary_10_1186_s12874_021_01396_6 crossref_primary_10_1097_SLA_0000000000002796 crossref_primary_10_1002_cam4_3055 crossref_primary_10_1097_SLA_0000000000004361 crossref_primary_10_1001_jamaoto_2018_3171 crossref_primary_10_1016_j_ajog_2024_09_002 crossref_primary_10_1016_j_jtcvs_2019_09_082 crossref_primary_10_1186_s12913_023_10229_9 crossref_primary_10_1001_jamanetworkopen_2018_4595 crossref_primary_10_1200_EDBK_350478 crossref_primary_10_1080_07357907_2017_1406495 crossref_primary_10_1245_s10434_022_12515_y crossref_primary_10_1093_jjco_hyab132 crossref_primary_10_1007_s10549_021_06352_y crossref_primary_10_1155_2017_6395712 crossref_primary_10_1016_j_suronc_2019_05_018 crossref_primary_10_1245_s10434_018_6428_3 crossref_primary_10_1001_jamanetworkopen_2020_3888 crossref_primary_10_1097_MLR_0000000000001143 crossref_primary_10_1016_j_ijrobp_2024_10_031 crossref_primary_10_1097_JS9_0000000000000269 crossref_primary_10_1002_jso_27045 crossref_primary_10_1016_j_xjon_2022_11_017 crossref_primary_10_1016_j_ajog_2019_07_026 crossref_primary_10_1111_cas_14309 crossref_primary_10_1016_j_surg_2023_07_026 crossref_primary_10_1177_0003134820973368 crossref_primary_10_1016_j_euros_2023_02_015 crossref_primary_10_1111_cas_15264 crossref_primary_10_1200_OP_22_00851 crossref_primary_10_1097_SLA_0000000000003532 crossref_primary_10_1016_j_surg_2017_03_010 crossref_primary_10_1016_j_surg_2016_09_024 |
Cites_doi | 10.1001/jama.290.20.2703 10.1056/NEJMp1508472 10.1245/s10434-007-9747-3 10.1245/s10434-016-5242-z 10.1001/jama.296.16.1973 10.1200/JCO.2008.20.1715 10.1001/archsurg.2009.268 10.1016/0895-4356(92)90133-8 10.1097/00005650-199801000-00004 10.7326/0003-4819-137-6-200209170-00012 10.1016/j.jamcollsurg.2011.10.003 10.1056/NEJMsa012337 10.1097/00005650-199902000-00010 10.1023/A:1012545106828 10.1002/jso.10320 10.1002/cncr.26536 |
ContentType | Journal Article |
Copyright | 2016 Elsevier Inc. Elsevier Inc. Copyright © 2016 Elsevier Inc. All rights reserved. |
Copyright_xml | – notice: 2016 Elsevier Inc. – notice: Elsevier Inc. – notice: Copyright © 2016 Elsevier Inc. All rights reserved. |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
DOI | 10.1016/j.surg.2016.07.027 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
EISSN | 1532-7361 |
EndPage | 443 |
ExternalDocumentID | 27590617 10_1016_j_surg_2016_07_027 S0039606016304020 1_s2_0_S0039606016304020 |
Genre | Journal Article Research Support, N.I.H., Extramural |
GroupedDBID | --- --K --M .1- .55 .FO .GJ .XZ .~1 0R~ 123 1B1 1CY 1P~ 1~. 1~5 354 4.4 457 4CK 4G. 53G 5RE 5VS 7-5 71M 8F7 8P~ AABNK AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQQT AAQXK AATTM AAXKI AAXUO AAYWO ABBQC ABCQX ABFNM ABFRF ABLJU ABMAC ABMZM ABOCM ABWVN ABXDB ACDAQ ACGFO ACIEU ACRLP ACRPL ACVFH ACWUS ADBBV ADCNI ADEZE ADMUD ADNMO ADVLN AEBSH AEFWE AEIPS AEKER AENEX AEUPX AEVXI AFFNX AFJKZ AFPUW AFRHN AFTJW AFXIZ AGCQF AGHFR AGQPQ AGUBO AGYEJ AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV C45 CAG COF CS3 DU5 EBS EFJIC EFKBS EJD EO8 EO9 EP2 EP3 F5P FD6 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA HVGLF HZ~ IHE J1W J5H K-O KOM L7B M41 MO0 N4W N9A O-L O9- OAUVE OBH OHH OJ0 OV0 OVD OZT P-8 P-9 P2P PC. Q38 R2- ROL RPZ SDF SDG SDP SEL SES SEW SJN SPCBC SSH SSZ T5K TEORI UDS UGJ UHS UQV UQZ UV1 VVN WH7 X7M YOC Z5R ZGI ZXP ZY1 ~G- AACTN AFKWA AJOXV AMFUW PKN RIG AAIAV ABLVK ABYKQ AHPSJ AJBFU EFLBG LCYCR ZA5 AAYXX AGRNS CITATION CGR CUY CVF ECM EIF NPM 7X8 ACLOT ~HD |
ID | FETCH-LOGICAL-c532t-88c75048415e0ca523b8f63fcfd6a3ed10bfebd10ee6e0bb03a415279453e0b53 |
IEDL.DBID | AIKHN |
ISSN | 0039-6060 1532-7361 |
IngestDate | Sun Sep 28 02:45:38 EDT 2025 Wed Feb 19 02:44:03 EST 2025 Tue Jul 01 02:47:57 EDT 2025 Thu Apr 24 23:02:04 EDT 2025 Fri Feb 23 02:24:43 EST 2024 Tue Feb 25 20:06:50 EST 2025 Tue Aug 26 16:32:27 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Language | English |
License | Copyright © 2016 Elsevier Inc. All rights reserved. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c532t-88c75048415e0ca523b8f63fcfd6a3ed10bfebd10ee6e0bb03a415279453e0b53 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
PMID | 27590617 |
PQID | 1859716930 |
PQPubID | 23479 |
PageCount | 11 |
ParticipantIDs | proquest_miscellaneous_1859716930 pubmed_primary_27590617 crossref_citationtrail_10_1016_j_surg_2016_07_027 crossref_primary_10_1016_j_surg_2016_07_027 elsevier_sciencedirect_doi_10_1016_j_surg_2016_07_027 elsevier_clinicalkeyesjournals_1_s2_0_S0039606016304020 elsevier_clinicalkey_doi_10_1016_j_surg_2016_07_027 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2017-02-01 |
PublicationDateYYYYMMDD | 2017-02-01 |
PublicationDate_xml | – month: 02 year: 2017 text: 2017-02-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States |
PublicationTitle | Surgery |
PublicationTitleAlternate | Surgery |
PublicationYear | 2017 |
Publisher | Elsevier Inc |
Publisher_xml | – name: Elsevier Inc |
References | (bib13) 2010 Deyo, Cherkin, Ciol (bib14) 1992; 45 Al-Refaie, Muluneh, Zhong, Parsons, Tuttle, Vickers (bib5) 2012; 214 Birkmeyer, Siewers, Marth, Goodman (bib7) 2003; 290 Rastogi, Johnson, Hoeffel, Drewery (bib24) 2011 Finley, Schneider, Shakeel, Akhtar-Danesh, Elit, Dixon (bib26) 2015 Urbach (bib1) 2015; 373 Spinks, Albright, Feeley, Walters, Burke, Aloia (bib3) 2012; 118 Alvino, Chang, Adler, Noorbakhsh, Jin, Mullen (bib8) 2016 Finlayson, Birkmeyer, Tosteson, Nease (bib28) 1999; 37 Fortney, Rost, Warren (bib17) 2000; 1 Schwartz, Fong, Warshaw, Zinner, Chang (bib27) 2016 Winchester, Stewart, Bura, Jones (bib10) 2004; 85 Liu, Zingmond, McGory, SooHoo, Ettner, Brook (bib6) 2006; 296 Birkmeyer, Siewers, Finlayson, Stukel, Lucas, Batista (bib19) 2002; 346 Stitzenberg, Sigurdson, Egleston, Starkey, Meropol (bib25) 2009; 27 (bib16) 2016 O'Sullivan (bib2) 2015 Bilimoria, Stewart, Winchester, Ko (bib9) 2008; 15 Allison P. Handling missing data by maximum likelihood. SAS Global Forum 2012: statistics and data analysis. Orlando, FL. April 22-25, 2012:Paper 312–2012. Epstein, Gray, Schlesinger (bib22) 2010; 145 (bib12) 2015 Wasif, Chang, Pockaj, Gray, Mathur, Etzioni (bib18) 2016; 23 (bib11) 2015 Yim C. Imputing missing data using SAS. SAS Global Forum 2015 proceedings. Dallas, TX. April 26-29, 2015:Paper 3295–2015. Witt, Coffey, Lopez-Gonzalez, Barrett, Moore, Andrews (bib23) 2016 Elixhauser, Steiner, Harris, Coffey (bib15) 1998; 36 Halm, Lee, Chassin (bib4) 2002; 137 Alvino (10.1016/j.surg.2016.07.027_bib8) 2016 Finlayson (10.1016/j.surg.2016.07.027_bib28) 1999; 37 (10.1016/j.surg.2016.07.027_bib11) 2015 10.1016/j.surg.2016.07.027_bib20 Rastogi (10.1016/j.surg.2016.07.027_bib24) 2011 10.1016/j.surg.2016.07.027_bib21 Epstein (10.1016/j.surg.2016.07.027_bib22) 2010; 145 Finley (10.1016/j.surg.2016.07.027_bib26) 2015 Wasif (10.1016/j.surg.2016.07.027_bib18) 2016; 23 O'Sullivan (10.1016/j.surg.2016.07.027_bib2) 2015 Al-Refaie (10.1016/j.surg.2016.07.027_bib5) 2012; 214 Winchester (10.1016/j.surg.2016.07.027_bib10) 2004; 85 (10.1016/j.surg.2016.07.027_bib12) 2015 Liu (10.1016/j.surg.2016.07.027_bib6) 2006; 296 Birkmeyer (10.1016/j.surg.2016.07.027_bib19) 2002; 346 Halm (10.1016/j.surg.2016.07.027_bib4) 2002; 137 Fortney (10.1016/j.surg.2016.07.027_bib17) 2000; 1 Schwartz (10.1016/j.surg.2016.07.027_bib27) 2016 Birkmeyer (10.1016/j.surg.2016.07.027_bib7) 2003; 290 Urbach (10.1016/j.surg.2016.07.027_bib1) 2015; 373 Deyo (10.1016/j.surg.2016.07.027_bib14) 1992; 45 Stitzenberg (10.1016/j.surg.2016.07.027_bib25) 2009; 27 (10.1016/j.surg.2016.07.027_bib16) 2016 Witt (10.1016/j.surg.2016.07.027_bib23) 2016 Spinks (10.1016/j.surg.2016.07.027_bib3) 2012; 118 (10.1016/j.surg.2016.07.027_bib13) 2010 Bilimoria (10.1016/j.surg.2016.07.027_bib9) 2008; 15 Elixhauser (10.1016/j.surg.2016.07.027_bib15) 1998; 36 |
References_xml | – year: 2011 ident: bib24 article-title: The black population: 2010 publication-title: 2010 Census Briefs – volume: 137 start-page: 511 year: 2002 end-page: 520 ident: bib4 article-title: Is volume related to outcome in health care? A systematic review and methodologic critique of the literature publication-title: Ann Intern Med – year: 2015 ident: bib2 article-title: Safety in numbers: cancer surgeries in California hospitals – volume: 45 start-page: 613 year: 1992 end-page: 619 ident: bib14 article-title: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases publication-title: J Clin Epidemiol – reference: Yim C. Imputing missing data using SAS. SAS Global Forum 2015 proceedings. Dallas, TX. April 26-29, 2015:Paper 3295–2015. – year: 2015 ident: bib26 publication-title: Approaches to high-risk, resource intensive cancer surgical care in canada – volume: 27 start-page: 4671 year: 2009 end-page: 4678 ident: bib25 article-title: Centralization of cancer surgery: implications for patient access to optimal care publication-title: J Clin Oncol – volume: 85 start-page: 1 year: 2004 end-page: 3 ident: bib10 article-title: The National Cancer Data Base: a clinical surveillance and quality improvement tool publication-title: J Surg Oncol – volume: 346 start-page: 1128 year: 2002 end-page: 1137 ident: bib19 article-title: Hospital volume and surgical mortality in the United States publication-title: N Engl J Med – volume: 214 start-page: 81 year: 2012 end-page: 87 ident: bib5 article-title: Who receives their complex cancer surgery at low-volume hospitals? publication-title: J Am Coll Surg – volume: 23 start-page: 3444 year: 2016 end-page: 3452 ident: bib18 article-title: Association of distance traveled for surgery with short- and long-term cancer outcomes publication-title: Ann Surg Oncol – year: 2016 ident: bib8 article-title: How far are patients willing to travel for gastrectomy? publication-title: Ann Surg – year: 2015 ident: bib11 publication-title: Standards for Cancer Registries: Data Standards and Data Dictionary, version 16, volume II – year: 2016 ident: bib16 article-title: Cancer program categories – reference: Allison P. Handling missing data by maximum likelihood. SAS Global Forum 2012: statistics and data analysis. Orlando, FL. April 22-25, 2012:Paper 312–2012. – year: 2016 ident: bib27 article-title: The Hidden consequences of the Volume Pledge: “no patient left behind”? publication-title: Ann Surg – volume: 290 start-page: 2703 year: 2003 end-page: 2708 ident: bib7 article-title: Regionalization of high-risk surgery and implications for patient travel times publication-title: JAMA – volume: 37 start-page: 204 year: 1999 end-page: 209 ident: bib28 article-title: Patient preferences for location of care: implications for regionalization publication-title: Med Care – volume: 118 start-page: 2571 year: 2012 end-page: 2582 ident: bib3 article-title: Ensuring quality cancer care: a follow-up review of the Institute of Medicine's 10 recommendations for improving the quality of cancer care in America publication-title: Cancer – year: 2010 ident: bib13 article-title: AJCC cancer staging manual – volume: 15 start-page: 683 year: 2008 end-page: 690 ident: bib9 article-title: The National Cancer Data Base: a powerful initiative to improve cancer care in the United States publication-title: Ann Surg Oncol – volume: 296 start-page: 1973 year: 2006 end-page: 1980 ident: bib6 article-title: Disparities in the utilization of high-volume hospitals for complex surgery publication-title: JAMA – volume: 373 start-page: 1388 year: 2015 end-page: 1390 ident: bib1 article-title: Pledging to eliminate low-volume surgery publication-title: N Engl J Med – volume: 36 start-page: 8 year: 1998 end-page: 27 ident: bib15 article-title: Comorbidity measures for use with administrative data publication-title: Med Care – year: 2015 ident: bib12 publication-title: Facility Oncology Registry Data Standards (FORDS) – volume: 145 start-page: 179 year: 2010 end-page: 186 ident: bib22 article-title: Racial and ethnic differences in the use of high-volume hospitals and surgeons publication-title: Arch Surg – volume: 1 start-page: 173 year: 2000 end-page: 184 ident: bib17 article-title: Comparing alternative methods of measuring geographic access to health services publication-title: Health Serv Outcome Res Meth – year: 2016 ident: bib23 article-title: Understanding racial and ethnic disparities in postsurgical complications occurring in U.S. hospitals publication-title: Health Serv Res – volume: 290 start-page: 2703 year: 2003 ident: 10.1016/j.surg.2016.07.027_bib7 article-title: Regionalization of high-risk surgery and implications for patient travel times publication-title: JAMA doi: 10.1001/jama.290.20.2703 – volume: 373 start-page: 1388 year: 2015 ident: 10.1016/j.surg.2016.07.027_bib1 article-title: Pledging to eliminate low-volume surgery publication-title: N Engl J Med doi: 10.1056/NEJMp1508472 – volume: 15 start-page: 683 year: 2008 ident: 10.1016/j.surg.2016.07.027_bib9 article-title: The National Cancer Data Base: a powerful initiative to improve cancer care in the United States publication-title: Ann Surg Oncol doi: 10.1245/s10434-007-9747-3 – year: 2015 ident: 10.1016/j.surg.2016.07.027_bib2 – volume: 23 start-page: 3444 year: 2016 ident: 10.1016/j.surg.2016.07.027_bib18 article-title: Association of distance traveled for surgery with short- and long-term cancer outcomes publication-title: Ann Surg Oncol doi: 10.1245/s10434-016-5242-z – volume: 296 start-page: 1973 year: 2006 ident: 10.1016/j.surg.2016.07.027_bib6 article-title: Disparities in the utilization of high-volume hospitals for complex surgery publication-title: JAMA doi: 10.1001/jama.296.16.1973 – year: 2016 ident: 10.1016/j.surg.2016.07.027_bib27 article-title: The Hidden consequences of the Volume Pledge: “no patient left behind”? publication-title: Ann Surg – ident: 10.1016/j.surg.2016.07.027_bib20 – volume: 27 start-page: 4671 year: 2009 ident: 10.1016/j.surg.2016.07.027_bib25 article-title: Centralization of cancer surgery: implications for patient access to optimal care publication-title: J Clin Oncol doi: 10.1200/JCO.2008.20.1715 – volume: 145 start-page: 179 year: 2010 ident: 10.1016/j.surg.2016.07.027_bib22 article-title: Racial and ethnic differences in the use of high-volume hospitals and surgeons publication-title: Arch Surg doi: 10.1001/archsurg.2009.268 – year: 2015 ident: 10.1016/j.surg.2016.07.027_bib12 – year: 2011 ident: 10.1016/j.surg.2016.07.027_bib24 article-title: The black population: 2010 – year: 2016 ident: 10.1016/j.surg.2016.07.027_bib8 article-title: How far are patients willing to travel for gastrectomy? publication-title: Ann Surg – volume: 45 start-page: 613 year: 1992 ident: 10.1016/j.surg.2016.07.027_bib14 article-title: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases publication-title: J Clin Epidemiol doi: 10.1016/0895-4356(92)90133-8 – year: 2016 ident: 10.1016/j.surg.2016.07.027_bib23 article-title: Understanding racial and ethnic disparities in postsurgical complications occurring in U.S. hospitals publication-title: Health Serv Res – volume: 36 start-page: 8 year: 1998 ident: 10.1016/j.surg.2016.07.027_bib15 article-title: Comorbidity measures for use with administrative data publication-title: Med Care doi: 10.1097/00005650-199801000-00004 – year: 2015 ident: 10.1016/j.surg.2016.07.027_bib11 – volume: 137 start-page: 511 year: 2002 ident: 10.1016/j.surg.2016.07.027_bib4 article-title: Is volume related to outcome in health care? A systematic review and methodologic critique of the literature publication-title: Ann Intern Med doi: 10.7326/0003-4819-137-6-200209170-00012 – year: 2015 ident: 10.1016/j.surg.2016.07.027_bib26 – volume: 214 start-page: 81 year: 2012 ident: 10.1016/j.surg.2016.07.027_bib5 article-title: Who receives their complex cancer surgery at low-volume hospitals? publication-title: J Am Coll Surg doi: 10.1016/j.jamcollsurg.2011.10.003 – volume: 346 start-page: 1128 year: 2002 ident: 10.1016/j.surg.2016.07.027_bib19 article-title: Hospital volume and surgical mortality in the United States publication-title: N Engl J Med doi: 10.1056/NEJMsa012337 – ident: 10.1016/j.surg.2016.07.027_bib21 – volume: 37 start-page: 204 year: 1999 ident: 10.1016/j.surg.2016.07.027_bib28 article-title: Patient preferences for location of care: implications for regionalization publication-title: Med Care doi: 10.1097/00005650-199902000-00010 – volume: 1 start-page: 173 year: 2000 ident: 10.1016/j.surg.2016.07.027_bib17 article-title: Comparing alternative methods of measuring geographic access to health services publication-title: Health Serv Outcome Res Meth doi: 10.1023/A:1012545106828 – volume: 85 start-page: 1 year: 2004 ident: 10.1016/j.surg.2016.07.027_bib10 article-title: The National Cancer Data Base: a clinical surveillance and quality improvement tool publication-title: J Surg Oncol doi: 10.1002/jso.10320 – year: 2010 ident: 10.1016/j.surg.2016.07.027_bib13 – year: 2016 ident: 10.1016/j.surg.2016.07.027_bib16 – volume: 118 start-page: 2571 year: 2012 ident: 10.1016/j.surg.2016.07.027_bib3 article-title: Ensuring quality cancer care: a follow-up review of the Institute of Medicine's 10 recommendations for improving the quality of cancer care in America publication-title: Cancer doi: 10.1002/cncr.26536 |
SSID | ssj0009418 |
Score | 2.39208 |
Snippet | Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume hospitals.
Patients... Background Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume... Although strong volume-outcome relationships exist for many cancer operations, patients continue to undergo these operations at low-volume... |
SourceID | proquest pubmed crossref elsevier |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 433 |
SubjectTerms | Aged Cohort Studies Databases, Factual Disease-Free Survival Female Hospital Mortality - trends Hospitals, Low-Volume - utilization Humans Logistic Models Male Middle Aged Needs Assessment Neoplasms - mortality Neoplasms - pathology Neoplasms - surgery Outcome Assessment (Health Care) Postoperative Complications - mortality Postoperative Complications - physiopathology Retrospective Studies Risk Assessment Socioeconomic Factors Surgery Surgical Procedures, Operative - methods Surgical Procedures, Operative - mortality Survival Rate United States |
Title | Patient characteristics associated with undergoing cancer operations at low-volume hospitals |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0039606016304020 https://www.clinicalkey.es/playcontent/1-s2.0-S0039606016304020 https://dx.doi.org/10.1016/j.surg.2016.07.027 https://www.ncbi.nlm.nih.gov/pubmed/27590617 https://www.proquest.com/docview/1859716930 |
Volume | 161 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEB50vXgRxdf6IoI3qbZJ0-0eRZRVUTwoeBBCkqY-kO2y3cWbv92ZTboivsBTack07WQeX9p5AOzJDGF8meqo1LyIUm6SKKdgmsRpYYSweSEpOfnyKuvdpud38m4GjptcGAqrDLbf2_SJtQ5XDgM3DwdPT5TjKwh-I2bBLTminlmY4-jt8xbMHZ1d9K4-au-miTfIohsRQcid8WFe9Xj4QBFevoYnNZf53j_9hD8nfuh0ERYCgGRH_hmXYMb1l-H-2pdHZfZz_WWmA_ddweiLK6OUseFDhf6KWVrvIasGzgsBDh6xl-o18gaLPYaOIvUK3J6e3Bz3otA3IbJS8BEy21LR9hx9s4utxq2myctMlLYsMi1ckcSmdAYPzmUuNiYWmtw4aqYUeC7FKrT6Vd-tAxOlEbJA2q5MU8M7JrWZ5TqWllPGrmxD0nBL2VBUnHpbvKgmeuxZEYcVcVjFHYUcbsP-lGbgS2r8Olo0i6CaZFE0bwot_q9Une-oXB00tFaJqrmK1RcpaoOcUn4SxD9n3G0kRKGG0m8X3XfVGGfKJdXp6gq895oXnel7847sEojc-OesmzDPCWdMwsi3oDUajt02oqSR2YHZg7dkJ-jCO7UTEaQ |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LS_QwEB90PehFFF_r96kRvEmxTZpu9yiirK_Fg4IHISRp6gPZLttdvn__m9mkK-ILPJWWTNNO5vFLOw-AA5khjC9THZWaF1HKTRLlFEyTOC2MEDYvJCUnX_ez3l16cS_v5-CkyYWhsMpg-71Nn1rrcOUocPNo-PxMOb6C4DdiFtySI-qZh4WUmlq3YOH4_LLXf6u9mybeIItuRAQhd8aHedWT0SNFePkantRc5nP_9BX-nPqhsxVYDgCSHftnXIU5N1iDhxtfHpXZ9_WXmQ7cdwWjL66MUsZGjxX6K2ZpvUesGjovBDh4zF6rf5E3WOwpdBSp1-Hu7PT2pBeFvgmRlYKPkdmWirbn6JtdbDVuNU1eZqK0ZZFp4YokNqUzeHAuc7ExsdDkxlEzpcBzKTagNagGbguYKI2QBdJ2ZZoa3jGpzSzXsbScMnZlG5KGW8qGouLU2-JVNdFjL4o4rIjDKu4o5HAbDmc0Q19S49vRolkE1SSLonlTaPG_pep8RuXqoKG1SlTNVaw-SFEb5IzynSD-OON-IyEKNZR-u-iBqyY4Uy6pTldX4L03vejM3pt3ZJdA5PYvZ92Dxd7t9ZW6Ou9f_oElTphjGlL-F1rj0cTtIGIam92gEf8BJVITig |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Patient+characteristics+associated+with+undergoing+cancer+operations+at+low-volume+hospitals&rft.jtitle=Surgery&rft.au=Liu%2C+Jason+B&rft.au=Bilimoria%2C+Karl+Y&rft.au=Mallin%2C+Katherine&rft.au=Winchester%2C+David+P&rft.date=2017-02-01&rft.issn=1532-7361&rft.eissn=1532-7361&rft.volume=161&rft.issue=2&rft.spage=433&rft_id=info:doi/10.1016%2Fj.surg.2016.07.027&rft.externalDBID=NO_FULL_TEXT |
thumbnail_m | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F00396060%2FS0039606016X00128%2Fcov150h.gif |