Literature DB >> 30236510

Utilization of Prostate Cancer Quality Metrics for Research and Quality Improvement: A Structured Review.

Davide Gori, Rajendra Dulal, Douglas W Blayney, James D Brooks, Maria P Fantini, Kathryn M McDonald, Tina Hernandez-Boussard.   

Abstract

BACKGROUND: The shift toward value-based care in the United States emphasizes the role of quality measures in payment models. Many diseases, such as prostate cancer, have a proliferation of quality measures, resulting in resource burden and physician burnout. This study aimed to identify and summarize proposed prostate cancer quality measures and describe their frequency and use in peer-reviewed literature.
METHODS: The PubMed database was used to identify quality measures relevant to prostate cancer care, and included articles in English through April 2018. A gray literature search for other documents was also conducted. After the selection process of the pertinent articles, measure characteristics were abstracted, and uses were summarized for the 10 most frequently utilized measures in the literature.
RESULTS: A total of 26 articles were identified for review. Of the 71 proposed prostate cancer quality measures, only 47 were used, and less than 10% of these were endorsed by the National Quality Forum. Process measures were most frequently reported (84.5%). Only 6 outcome measures (8.5%) were proposed-none of which were among the most frequently utilized.
CONCLUSION: Although a high number of proposed prostate cancer quality measures are reported in the literature, few were assessed, and the majority of these were non-endorsed process measures. Process measures were most commonly assessed; outcome measures were rarely evaluated. In a step to close the quality chasm, a "top 5" core set of quality measures for prostate cancer care, including structure, process, and outcomes measures, is suggested. Future studies should consider this comprehensive set of quality measures.
Copyright © 2018 The Joint Commission. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2018        PMID: 30236510      PMCID: PMC6494082          DOI: 10.1016/j.jcjq.2018.06.004

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN: 1553-7250


  50 in total

1.  QOPI, EHRs, and Quality Measures.

Authors:  Joel W Goldwein; Christopher M Rose
Journal:  J Oncol Pract       Date:  2006-09       Impact factor: 3.840

Review 2.  Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources.

Authors:  Trisha Greenhalgh; Richard Peacock
Journal:  BMJ       Date:  2005-10-17

3.  Cancer Care Ontario Guidelines for radical prostatectomy: striving for continuous quality improvement in community practice.

Authors:  Todd M Webster; Christopher Newell; John F Amrhein; Ken J Newell
Journal:  Can Urol Assoc J       Date:  2012-12       Impact factor: 1.862

4.  Comprehensive comparison of health-related quality of life after contemporary therapies for localized prostate cancer.

Authors:  John T Wei; Rodney L Dunn; Howard M Sandler; P William McLaughlin; James E Montie; Mark S Litwin; Linda Nyquist; Martin G Sanda
Journal:  J Clin Oncol       Date:  2002-01-15       Impact factor: 44.544

5.  The missing voice of patients in drug-safety reporting.

Authors:  Ethan Basch
Journal:  N Engl J Med       Date:  2010-03-11       Impact factor: 91.245

6.  5-year urinary and sexual outcomes after radical prostatectomy: results from the prostate cancer outcomes study.

Authors:  David F Penson; Dale McLerran; Ziding Feng; Lin Li; Peter C Albertsen; Frank D Gilliland; Ann Hamilton; Richard M Hoffman; Robert A Stephenson; Arnold L Potosky; Janet L Stanford
Journal:  J Urol       Date:  2005-05       Impact factor: 7.450

7.  Primary care physicians' use of family history for cancer risk assessment.

Authors:  Brian S Flynn; Marie E Wood; Takamaru Ashikaga; Alan Stockdale; Greg S Dana; Shelly Naud
Journal:  BMC Fam Pract       Date:  2010-06-03       Impact factor: 2.497

8.  Variation in adherence to external beam radiotherapy quality measures among elderly men with localized prostate cancer.

Authors:  Justin E Bekelman; Michael J Zelefsky; Thomas L Jang; Ethan M Basch; Deborah Schrag
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-08-08       Impact factor: 7.038

9.  Treatment choice and quality of care for men with localized prostate cancer.

Authors:  David C Miller; Benjamin A Spencer; Jamie Ritchey; Andrew K Stewart; Rodney L Dunn; Howard M Sandler; John T Wei; Mark S Litwin
Journal:  Med Care       Date:  2007-05       Impact factor: 2.983

10.  Facilitating Clinical Outcomes Assessment through the automated identification of quality measures for prostate cancer surgery.

Authors:  Leonard W D'Avolio; Mark S Litwin; Selwyn O Rogers; Alex A T Bui
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

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  5 in total

1.  An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.

Authors:  Selen Bozkurt; Jung In Park; Kathleen Mary Kan; Michelle Ferrari; Daniel L Rubin; James D Brooks; Tina Hernandez-Boussard
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

2.  Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.

Authors:  Jean Coquet; Selen Bozkurt; Kathleen M Kan; Michelle K Ferrari; Douglas W Blayney; James D Brooks; Tina Hernandez-Boussard
Journal:  J Biomed Inform       Date:  2019-04-20       Impact factor: 6.317

3.  Gaps in standardized postoperative pain management quality measures: A systematic review.

Authors:  Jennifer M Joseph; Davide Gori; Catherine Curtin; Jennifer Hah; Vy Thuy Ho; Steven M Asch; Tina Hernandez-Boussard
Journal:  Surgery       Date:  2021-09-15       Impact factor: 3.982

4.  Leveraging Digital Data to Inform and Improve Quality Cancer Care.

Authors:  Tina Hernandez-Boussard; Douglas W Blayney; James D Brooks
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-17       Impact factor: 4.254

5.  Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study.

Authors:  Selen Bozkurt; Kathleen M Kan; Michelle K Ferrari; Daniel L Rubin; Douglas W Blayney; Tina Hernandez-Boussard; James D Brooks
Journal:  BMJ Open       Date:  2019-07-18       Impact factor: 2.692

  5 in total

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