Literature DB >> 24673560

Hospital and geographic variability in thirty-day all-cause mortality following colorectal cancer surgery.

Mario Schootman1, Min Lian, Sandi L Pruitt, Anjali D Deshpande, Samantha Hendren, Matthew Mutch, Donna B Jeffe, Nicholas Davidson.   

Abstract

OBJECTIVE: To assess hospital and geographic variability in 30-day mortality after surgery for CRC and examine the extent to which sociodemographic, area-level, clinical, tumor, treatment, and hospital characteristics were associated with increased likelihood of 30-day mortality in a population-based sample of older CRC patients. DATA SOURCES/STUDY
SETTING: Linked Surveillance Epidemiology End Results (SEER) and Medicare data from 47,459 CRC patients aged 66 years or older who underwent surgical resection between 2000 and 2005, resided in 13,182 census tracts, and were treated in 1,447 hospitals. STUDY
DESIGN: An observational study using multilevel logistic regression to identify hospital- and patient-level predictors of and variability in 30-day mortality. DATA COLLECTION/EXTRACTION
METHODS: We extracted sociodemographic, clinical, tumor, treatment, hospital, and geographic characteristics from Medicare claims, SEER, and census data. PRINCIPAL
FINDINGS: Of 47,459 CRC patients, 6.6 percent died within 30 days following surgery. Adjusted variability in 30-day mortality existed across residential census tracts (predicted mortality range: 2.7-12.3 percent) and hospitals (predicted mortality range: 2.5-10.5 percent). Higher risk of death within 30 days was observed for CRC patients age 85+ (12.7 percent), census-tract poverty rate >20 percent (8.0 percent), two or more comorbid conditions (8.8 percent), stage IV at diagnosis (15.1 percent), undifferentiated tumors (11.6 percent), and emergency surgery (12.8 percent).
CONCLUSIONS: Substantial, but similar variability was observed across census tracts and hospitals in 30-day mortality following surgery for CRC in patients 66 years and older. Risk of 30-day mortality is driven not only by patient and hospital characteristics but also by larger social and economic factors that characterize geographic areas. © Health Research and Educational Trust.

Entities:  

Keywords:  Colorectal cancer; multilevel; neighborhood; poverty

Mesh:

Year:  2014        PMID: 24673560      PMCID: PMC4111769          DOI: 10.1111/1475-6773.12171a

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  36 in total

1.  The association between chronic disease burden and quality of life among breast cancer survivors in Missouri.

Authors:  Anjali D Deshpande; Julianne A Sefko; Donna B Jeffe; Mario Schootman
Journal:  Breast Cancer Res Treat       Date:  2011-04-26       Impact factor: 4.872

2.  Relationship between preoperative comorbidity, systemic inflammatory response, and survival in patients undergoing curative resection for colorectal cancer.

Authors:  C S D Roxburgh; J J Platt; E F Leitch; J Kinsella; P G Horgan; D C McMillan
Journal:  Ann Surg Oncol       Date:  2010-11-02       Impact factor: 5.344

3.  Medicare program; hospital inpatient value-based purchasing program. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2011-05-06

4.  Operative outcomes beyond 30-day mortality: colorectal cancer surgery in oldest old.

Authors:  Waddah B Al-Refaie; Helen M Parsons; Elizabeth B Habermann; Mary Kwaan; Michael P Spencer; William G Henderson; David A Rothenberger
Journal:  Ann Surg       Date:  2011-05       Impact factor: 12.969

5.  Geographic variation in colorectal cancer survival and the role of small-area socioeconomic deprivation: a multilevel survival analysis of the NIH-AARP Diet and Health Study Cohort.

Authors:  Min Lian; Mario Schootman; Chyke A Doubeni; Yikyung Park; Jacqueline M Major; Rosalie A Torres Stone; Adeyinka O Laiyemo; Albert R Hollenbeck; Barry I Graubard; Arthur Schatzkin
Journal:  Am J Epidemiol       Date:  2011-08-11       Impact factor: 4.897

6.  Thirty-day postoperative mortality after colorectal cancer surgery in England.

Authors:  Eva J A Morris; Elizabeth F Taylor; James D Thomas; Philip Quirke; Paul J Finan; Michel P Coleman; Bernard Rachet; David Forman
Journal:  Gut       Date:  2011-04-12       Impact factor: 23.059

7.  Mortality after colorectal cancer surgery: a French survey of more than 84,000 patients.

Authors:  Yves Panis; Léon Maggiori; Gilbert Caranhac; Frederic Bretagnol; Eric Vicaut
Journal:  Ann Surg       Date:  2011-11       Impact factor: 12.969

8.  Evaluation of trends in the cost of initial cancer treatment.

Authors:  Joan L Warren; K Robin Yabroff; Angela Meekins; Marie Topor; Elizabeth B Lamont; Martin L Brown
Journal:  J Natl Cancer Inst       Date:  2008-06-10       Impact factor: 13.506

9.  Importance of the first postoperative year in the prognosis of elderly colorectal cancer patients.

Authors:  J W T Dekker; C B M van den Broek; E Bastiaannet; L G M van de Geest; R A E M Tollenaar; G J Liefers
Journal:  Ann Surg Oncol       Date:  2011-03-29       Impact factor: 5.344

10.  Cancer, comorbidities, and health-related quality of life of older adults.

Authors:  Ashley Wilder Smith; Bryce B Reeve; Keith M Bellizzi; Linda C Harlan; Carrie N Klabunde; Marni Amsellem; Arlene S Bierman; Ron D Hays
Journal:  Health Care Financ Rev       Date:  2008
View more
  9 in total

1.  The DGAV risk calculator: development and validation of statistical models for a web-based instrument predicting complications of colorectal cancer surgery.

Authors:  Alexander Crispin; Carsten Klinger; Anna Rieger; Brigitte Strahwald; Kai Lehmann; Heinz-Johannes Buhr; Ulrich Mansmann
Journal:  Int J Colorectal Dis       Date:  2017-08-10       Impact factor: 2.571

2.  Multilevel analysis in rural cancer control: A conceptual framework and methodological implications.

Authors:  Whitney E Zahnd; Sara L McLafferty; Jan M Eberth
Journal:  Prev Med       Date:  2019-09-11       Impact factor: 4.018

3.  Patient, Hospital, and Geographic Disparities in Laparoscopic Surgery Use Among Surveillance, Epidemiology, and End Results-Medicare Patients With Colon Cancer.

Authors:  Kendra L Ratnapradipa; Min Lian; Donna B Jeffe; Nicholas O Davidson; Jan M Eberth; Sandi L Pruitt; Mario Schootman
Journal:  Dis Colon Rectum       Date:  2017-09       Impact factor: 4.585

4.  The adequacy of lymph node clearance in colon cancer surgery performed in a non-specialist centre; implications for practice.

Authors:  Patrick Higgins; Tamas Nemeth; Fadel Bennani; Waqar Khan; Iqbal Khan; Ronan Waldron; Kevin Barry
Journal:  Ir J Med Sci       Date:  2019-06-19       Impact factor: 1.568

5.  Comparison of Comorbidity Scores in Predicting Surgical Outcomes.

Authors:  Hemalkumar B Mehta; Francesca Dimou; Deepak Adhikari; Nina P Tamirisa; Eric Sieloff; Taylor P Williams; Yong-Fang Kuo; Taylor S Riall
Journal:  Med Care       Date:  2016-02       Impact factor: 2.983

6.  Hospital and geographic variability in two colorectal cancer surgery outcomes: complications and mortality after complications.

Authors:  M Schootman; M Lian; S L Pruitt; S Hendren; M Mutch; A D Deshpande; D B Jeffe; N O Davidson
Journal:  Ann Surg Oncol       Date:  2014-04-21       Impact factor: 5.344

7.  Postoperative 30-day mortality in patients undergoing surgery for colorectal cancer: development of a prognostic model using administrative claims data.

Authors:  S de Vries; D B Jeffe; N O Davidson; A D Deshpande; M Schootman
Journal:  Cancer Causes Control       Date:  2014-08-08       Impact factor: 2.506

8.  Health-Related Social Needs and Increased Readmission Rates: Findings from the Nationwide Readmissions Database.

Authors:  Wyatt P Bensken; Philip M Alberti; Siran M Koroukian
Journal:  J Gen Intern Med       Date:  2021-05       Impact factor: 5.128

9.  Hospital heterogeneity: what drives the quality of health care.

Authors:  Manhal Ali; Reza Salehnejad; Mohaimen Mansur
Journal:  Eur J Health Econ       Date:  2017-04-24
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.