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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao International Journa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Radiation Oncology*Biology*Physics
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Quality Assessment in Oncology

Authors: Jeffrey M, Albert; Prajnan, Das;

Quality Assessment in Oncology

Abstract

The movement to improve healthcare quality has led to a need for carefully designed quality indicators that accurately reflect the quality of care. Many different measures have been proposed and continue to be developed by governmental agencies and accrediting bodies. However, given the inherent differences in the delivery of care among medical specialties, the same indicators will not be valid across all of them. Specifically, oncology is a field in which it can be difficult to develop quality indicators, because the effectiveness of an oncologic intervention is often not immediately apparent, and the multidisciplinary nature of the field necessarily involves many different specialties. Existing and emerging comparative effectiveness data are helping to guide evidence-based practice, and the increasing availability of these data provides the opportunity to identify key structure and process measures that predict for quality outcomes. The increasing emphasis on quality and efficiency will continue to compel the medical profession to identify appropriate quality measures to facilitate quality improvement efforts and to guide accreditation, credentialing, and reimbursement. Given the wide-reaching implications of quality metrics, it is essential that they be developed and implemented with scientific rigor. The aims of the present report were to review the current state of quality assessment in oncology, identify existing indicators with the best evidence to support their implementation, and propose a framework for identifying and refining measures most indicative of true quality in oncologic care.

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Keywords

Male, Lung Neoplasms, Prostatic Neoplasms, Breast Neoplasms, Medical Oncology, Quality Improvement, Carcinoma, Non-Small-Cell Lung, Practice Guidelines as Topic, Humans, Female, Guideline Adherence, Colorectal Neoplasms, Quality Indicators, Health Care

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
41
Top 10%
Top 10%
Top 10%
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