Literature DB >> 31366576

Failure to administer recommended chemotherapy: acceptable variation or cancer care quality blind spot?

Ryan J Ellis1,2, Cary Jo R Schlick1, Joe Feinglass3, Mary F Mulcahy4,5, Al B Benson4,5, Sheetal M Kircher4,5, Tony D Yang1,4, David D Odell1,4, Karl Bilimoria1,2,4, Ryan P Merkow6,2,4.   

Abstract

BACKGROUND: Chemotherapy quality measures consider hospitals compliant when chemotherapy is recommended, even if it is not received. This may mask shortcomings in cancer care delivery. Objectives of this study were to (1) identify patient factors associated with failure to receive recommended chemotherapy without a documented contraindication and (2) assess hospital variation in failure to administer recommended chemotherapy.
METHODS: Patients from 2005 to 2015 with breast, colon and lung cancers who failed to receive recommended chemotherapy were identified using the National Cancer Database. Hospital-level rates of failure to administer recommended chemotherapy were calculated, and patient and hospital factors associated with failure to receive recommended chemotherapy were identified by multivariable logistic regression.
RESULTS: A total of 183 148 patients at 1281 hospitals were analysed. Overall, 3.5% of patients with breast, 6.6% with colon and 10.7% with lung cancers failed to receive recommended chemotherapy. Patients were less likely to receive recommended chemotherapy in all cancers if uninsured or on Medicaid (p<0.05), as were non-Hispanic black patients with both breast and colon cancer (p<0.001). Significant hospital variation was observed, with hospital-level rates of failure to administer recommended chemotherapy as high as 21.8% in breast, 40.2% in colon and 40.0% in lung cancers. CONCLUSIONS AND RELEVANCE: Though overall rates are low, failure to receive recommended chemotherapy is associated with sociodemographic factors. Hospital variation in failure to administer recommended chemotherapy is masked by current quality measure definitions and may define a significant and unmeasured difference in hospital quality. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  health services research; quality measurement; surgery

Mesh:

Year:  2019        PMID: 31366576      PMCID: PMC7382916          DOI: 10.1136/bmjqs-2019-009742

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  19 in total

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5.  Quality of care and patient outcomes in critical access rural hospitals.

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6.  Characteristics of hospitals receiving penalties under the Hospital Readmissions Reduction Program.

Authors:  Karen E Joynt; Ashish K Jha
Journal:  JAMA       Date:  2013-01-23       Impact factor: 56.272

Review 7.  Practical Guide to Surgical Data Sets: National Cancer Database (NCDB).

Authors:  Ryan P Merkow; Alfred W Rademaker; Karl Y Bilimoria
Journal:  JAMA Surg       Date:  2018-09-01       Impact factor: 14.766

8.  The association of race/ethnicity, insurance status, and socioeconomic factors with breast cancer care.

Authors:  Rachel A Freedman; Katherine S Virgo; Yulei He; Alexandre L Pavluck; Eric P Winer; Elizabeth M Ward; Nancy L Keating
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9.  Characteristics associated with differences in survival among black and white women with breast cancer.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Amy S Clark; Bruce J Giantonio; Richard N Ross; Yun Teng; Min Wang; Bijan A Niknam; Justin M Ludwig; Wei Wang; Orit Even-Shoshan; Kevin R Fox
Journal:  JAMA       Date:  2013-07-24       Impact factor: 56.272

10.  Disparities in quality of cancer care: The role of health insurance and population demographics.

Authors:  Arti Parikh-Patel; Cyllene R Morris; Kenneth W Kizer
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

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