Literature DB >> 31503336

Type and case volume of health care facility influences survival and surgery selection in cases with early-stage non-small cell lung cancer.

Shidan Wang1, Sunny Lai1, Mitchell S von Itzstein2, Lin Yang1,3, Donghan M Yang1, Xiaowei Zhan1, Guanghua Xiao1,4, Ethan A Halm2,5, David E Gerber2,5,6, Yang Xie1,4,6.   

Abstract

BACKGROUND: With the expansion of non-small cell lung cancer (NSCLC) screening methods, the percentage of cases with early-stage NSCLC is anticipated to increase. Yet it remains unclear how the type and case volume of the health care facility at which treatment occurs may affect surgery selection and overall survival for cases with early-stage NSCLC.
METHODS: A total of 332,175 cases with the American Joint Committee on Cancer (AJCC) TNM stage I and stage II NSCLC who were reported to the National Cancer Data Base (NCDB) by 1302 facilities were studied. Facility type was characterized in the NCDB as community cancer program (CCP), comprehensive community cancer program (CCCP), academic/research program (ARP), or integrated network cancer program (INCP). Each facility type was dichotomized further into high-volume or low-volume groups based on the case volume. Multivariate Cox proportional hazard models, the logistic regression model, and propensity score matching were used to evaluate differences in survival and surgery selection among facilities according to type and volume.
RESULTS: Cases from ARPs were found to have the longest survival (median, 16.4 months) and highest surgery rate (74.8%), whereas those from CCPs had the shortest survival (median, 9.7 months) and the lowest surgery rate (60.8%). The difference persisted when adjusted by potential confounders. For cases treated at CCPs, CCCPs, and ARPs, high-volume facilities had better survival outcomes than low-volume facilities. In facilities with better survival outcomes, surgery was performed for a greater percentage of cases compared with facilities with worse outcomes.
CONCLUSIONS: For cases with early-stage NSCLC, both facility type and case volume influence surgery selection and clinical outcome. Higher surgery rates are observed in facilities with better survival outcomes.
© 2019 American Cancer Society.

Entities:  

Keywords:  facility type; facility volume; lung cancer; prognosis; surgery selection

Mesh:

Year:  2019        PMID: 31503336      PMCID: PMC7678405          DOI: 10.1002/cncr.32377

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  22 in total

Review 1.  Is volume related to outcome in health care? A systematic review and methodologic critique of the literature.

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2.  The policy implications of using hospital and physician volumes as "indicators" of quality of care in a changing health care environment.

Authors:  K A Phillips; H S Luft
Journal:  Int J Qual Health Care       Date:  1997-10       Impact factor: 2.038

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Authors:  P E Postmus; K M Kerr; M Oudkerk; S Senan; D A Waller; J Vansteenkiste; C Escriu; S Peters
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6.  Relationship of hospital teaching status with quality of care and mortality for Medicare patients with acute MI.

Authors:  J J Allison; C I Kiefe; N W Weissman; S D Person; M Rousculp; J G Canto; S Bae; O D Williams; R Farmer; R M Centor
Journal:  JAMA       Date:  2000-09-13       Impact factor: 56.272

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Authors:  T P Wade; I A Halaby; D R Stapleton; K S Virgo; F E Johnson
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9.  Surgeon specialty and operative mortality with lung resection.

Authors:  Philip P Goodney; F L Lucas; Therese A Stukel; John D Birkmeyer
Journal:  Ann Surg       Date:  2005-01       Impact factor: 12.969

10.  Impact of hospital volume on operative mortality for major cancer surgery.

Authors:  C B Begg; L D Cramer; W J Hoskins; M F Brennan
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