Literature DB >> 33749769

Evaluation of Reliability and Correlations of Quality Measures in Cancer Care.

Nancy L Keating1,2, Jessica L F Cleveland3, Alexi A Wright4,5, Gabriel A Brooks6, Laurie Meneades1, Lauren Riedel1, Jose R Zubizarreta1,7,8, Mary Beth Landrum1.   

Abstract

Importance: Measurement of the quality of care is important for alternative payment models in oncology, yet the ability to distinguish high-quality from low-quality care across oncology practices remains uncertain. Objective: To assess the reliability of cancer care quality measures across oncology practices using registry and claims-based measures of process, utilization, end-of-life (EOL) care, and survival, and to assess the correlations of practice-level performance across measure and cancer types. Design, Setting, and Participants: This cross-sectional study used the Surveillance, Epidemiology, and End Results (SEER) Program registry linked to Medicare administrative data to identify individuals with lung cancer, breast cancer, or colorectal cancer (CRC) that was newly diagnosed between January 1, 2011, and December 31, 2015, and who were treated in oncology practices with 20 or more patients. Data were analyzed from January 2018 to December 2020. Main Outcomes and Measures: Receipt of guideline-recommended treatment and surveillance, hospitalizations or emergency department visits during 6-month chemotherapy episodes, care intensity in the last month of life, and 12-month survival were measured. Summary measures for each domain in each cohort were calculated. Practice-level rates for each measure were estimated from hierarchical linear models with practice-level random effects; practice-level reliability (reproducibility) for each measure based on the between-measure variance, within-measure variance, and distribution of patients treated in each practice; and correlations of measures across measure and cancer types.
Results: In this study of SEER registry data linked to Medicare administrative data from 49 715 patients with lung cancer treated in 502 oncology practices, 21 692 with CRC treated in 347 practices, and 52 901 with breast cancer treated in 492 practices, few practices had 20 or more patients who were eligible for most process measures during the 5-year study period. Patients were 65 years or older; approximately 50% of the patients with lung cancer and CRC and all of the patients with breast cancer were women. Most measures had limited variability across practices. Among process measures, 0 of 6 for lung cancer, 0 of 6 for CRC, and 3 of 11 for breast cancer had a practice-level reliability of 0.75 or higher for the median-sized practice. No utilization, EOL care, or survival measure had reliability across practices of 0.75 or higher. Correlations across measure types were low (r ≤ 0.20 for all) except for a correlation between the CRC process and 1-year survival summary measures (r = 0.35; P < .001). Summary process measures had limited or no correlation across lung cancer, breast cancer, and CRC (r ≤ 0.16 for all). Conclusions and Relevance: This study found that quality measures were limited by the small numbers of Medicare patients with newly diagnosed cancer treated in oncology practices, even after pooling 5 years of data. Measures had low reliability and had limited to no correlation across measure and cancer types, suggesting the need for research to identify reliable quality measures for practice-level quality assessments.

Entities:  

Year:  2021        PMID: 33749769      PMCID: PMC7985722          DOI: 10.1001/jamanetworkopen.2021.2474

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


  18 in total

1.  Statistical issues in reporting quality data: small samples and casemix variation.

Authors:  A M Zaslavsky
Journal:  Int J Qual Health Care       Date:  2001-12       Impact factor: 2.038

2.  Estimating the reliability of continuous measures with Cronbach's alpha or the intraclass correlation coefficient: toward the integration of two traditions.

Authors:  G Bravo; L Potvin
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

3.  Lessons From Reporting National Performance Measures in a Regional Setting: Washington State Community Cancer Care Report.

Authors:  Laura Panattoni; Catherine Fedorenko; Karma Kreizenbeck; Qin Sun; Lily Li; Ted Conklin; Gary H Lyman; Scott D Ramsey
Journal:  J Oncol Pract       Date:  2018-12       Impact factor: 3.840

4.  Reliability of the American College of Surgeons Commission on Cancer's Quality of Care Measures for Hospital and Surgeon Profiling.

Authors:  Jason B Liu; Kristopher M Huffman; Bryan E Palis; Lawrence N Shulman; David P Winchester; Clifford Y Ko; Bruce L Hall
Journal:  J Am Coll Surg       Date:  2016-12-12       Impact factor: 6.113

5.  Targeted Supplemental Data Collection - Addressing the Quality-Measurement Conundrum.

Authors:  Michael E Chernew; Mary Beth Landrum
Journal:  N Engl J Med       Date:  2018-03-15       Impact factor: 91.245

6.  Redefining Quality Measurement in Cancer Care.

Authors:  Elizabeth A Nardi; James McCanney; Katy Winckworth-Prejsnar; Alyssa A Schatz; Kerin Adelson; Marcus Neubauer; Mary Lou Smith; Ronald Walters; Robert W Carlson
Journal:  J Natl Compr Canc Netw       Date:  2018-05       Impact factor: 11.908

7.  The unreliability of individual physician "report cards" for assessing the costs and quality of care of a chronic disease.

Authors:  T P Hofer; R A Hayward; S Greenfield; E H Wagner; S H Kaplan; W G Manning
Journal:  JAMA       Date:  1999-06-09       Impact factor: 56.272

8.  Survival As a Quality Metric of Cancer Care: Use of the National Cancer Data Base to Assess Hospital Performance.

Authors:  Lawrence N Shulman; Bryan E Palis; Ryan McCabe; Kathy Mallin; Ashley Loomis; David Winchester; Daniel McKellar
Journal:  J Oncol Pract       Date:  2017-11-01       Impact factor: 3.840

9.  Measuring the improving quality of outpatient care in medical oncology practices in the United States.

Authors:  Michael N Neuss; Jennifer L Malin; Stephanie Chan; Pamela J Kadlubek; John L Adams; Joseph O Jacobson; Douglas W Blayney; Joseph V Simone
Journal:  J Clin Oncol       Date:  2013-03-11       Impact factor: 44.544

10.  Interinstitutional variation in management decisions for treatment of 4 common types of cancer: A multi-institutional cohort study.

Authors:  Jane C Weeks; Hajime Uno; Nathan Taback; Gladys Ting; Angel Cronin; Thomas A D'Amico; Jonathan W Friedberg; Deborah Schrag
Journal:  Ann Intern Med       Date:  2014-07-01       Impact factor: 25.391

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  4 in total

1.  Practice Billing for Medicare Advance Care Planning Across the USA.

Authors:  Elizabeth A Luth; Adoma Manful; Joel S Weissman; Amanda Reich; Keren Ladin; Robert Semco; Ishani Ganguli
Journal:  J Gen Intern Med       Date:  2022-01-26       Impact factor: 5.128

2.  Review of Cancer-Specific Quality Measures Promoting the Avoidance of Low-Value Care.

Authors:  Brandon L Ellsworth; Allan K Metz; Nicole M Mott; Ruby Kazemi; Michael Stover; Tasha Hughes; Lesly A Dossett
Journal:  Ann Surg Oncol       Date:  2022-02-06       Impact factor: 5.344

3.  Is unmeasurable residual disease (uMRD) the best surrogate endpoint for clinical trials, regulatory approvals and therapy decisions in chronic lymphocytic leukaemia (CLL)?

Authors:  Shenmiao Yang; Neil E Kay; Min Shi; Curtis A Hanson; Robert Peter Gale
Journal:  Leukemia       Date:  2022-09-13       Impact factor: 12.883

4.  Evaluating Quality Indicators of Glioblastoma Care: Audit Results From an Indian Tertiary Care Cancer Center.

Authors:  Rimpa Basu Achari; Santam Chakraborty; Love Goyal; Saheli Saha; Paromita Roy; Lateef Zameer; Deepak Mishra; Mayur Parihar; Anirban Das; Aditi Chandra; Bivas Biswas; Indranil Mallick; Moses A Arunsingh; Sanjoy Chatterjee; Tapesh Bhattacharyya
Journal:  JCO Glob Oncol       Date:  2022-03
  4 in total

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