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...

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Published inSurgery Vol. 161; no. 2; pp. 433 - 443
Main Authors Liu, Jason B., Bilimoria, Karl Y., Mallin, Katherine, Winchester, David P.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.02.2017
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ISSN0039-6060
1532-7361
1532-7361
DOI10.1016/j.surg.2016.07.027

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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.
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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
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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
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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...
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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
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