Literature DB >> 27197975

A Cross-Sectional Assessment of the Quality of Physician Quality Reporting System Measures.

Brittney A Frankel1, Tara F Bishop2,3,4.   

Abstract

BACKGROUND: Starting in 2015, the Center for Medicare and Medicaid Services (CMS) requires all Medicare providers to report quality measures through Physician Quality Reporting System (PQRS) or incur a 1.5 % financial penalty. Research indicates that physicians believe this reporting does not lead to high quality care; however, little research has examined what PQRS actually measures, which is reflective of the physicians and patient disease populations being assessed.
OBJECTIVES: (1) Identify the proportion of measures that apply to different medical specialties, types of quality measurement, and National Quality Strategy (NQS) priorities. (2) Identify how different specialties are required to measure quality and NQS priorities. (3) Compare the 2011 and 2015 measures. DESIGN AND MAIN MEASURES: This was a categorical qualitative analysis of 2011 and 2015 PQRS measures. One hundred and ninety-eight and 254 individual measures, respectively, were analyzed by three domains: medical specialty measured, type of measure, and NQS priority category. KEY
RESULTS: Between 2011 and 2015, the type of measures changed significantly, with fewer processes (85.4 % vs. 66.5 %, p < 0.001) and more outcomes (12.6 % vs. 29.1 %, p < 0.001). The measures showed no significant specialty or NQS category differences. For subcategories within each specialty in 2015, differences in measure type were statistically significant: surgery had the highest percentage of outcomes (61.1 %) compared to 21.7 % of internal medicine and 5.9 % of obstetrics/gynecology. For NQS categories, internal medicine had the highest percentage of effective clinical care measures (68.5 %), compared to 22.2 % in surgery. Surgery had the highest percentage of patient safety (31.9 %) and communication and care coordination measures (27.8 %) compared with internal medicine (5.4 % and 6.5 %).
CONCLUSIONS: Our study shows that PQRS measures include many medical specialties and significantly more outcomes in recent years, particularly for surgery. PQRS still lacks sufficient measures for half of NQS priorities and sufficient outcomes to assess internal medicine and obstetrics/gynecology. CMS must continue to improve PQRS measures to better assess and encourage high-quality care for all Americans.

Entities:  

Keywords:  healthy policy; medicare; performance measurement; quality assessment; quality improvement

Mesh:

Year:  2016        PMID: 27197975      PMCID: PMC4945566          DOI: 10.1007/s11606-016-3693-3

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  12 in total

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Authors:  Bettina Berman; Valerie P Pracilio; Albert Crawford; William R Behm; Richard Jacoby; David B Nash; Neil I Goldfarb
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7.  Discrimination at the doctor's office.

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Authors:  Alex D Federman; Salomeh Keyhani
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Review 9.  Review of Medicare, Medicaid, and Commercial Quality of Care Measures: Considerations for Assessing Accountable Care Organizations.

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10.  More quality measures versus measuring what matters: a call for balance and parsimony.

Authors:  Gregg S Meyer; Eugene C Nelson; David B Pryor; Brent James; Stephen J Swensen; Gary S Kaplan; Jed I Weissberg; Maureen Bisognano; Gary R Yates; Gordon C Hunt
Journal:  BMJ Qual Saf       Date:  2012-08-14       Impact factor: 7.035

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  5 in total

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Journal:  J Gen Intern Med       Date:  2019-07-31       Impact factor: 5.128

2.  Point: How Quality Reporting Made Me a Better Doctor.

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Journal:  Ann Fam Med       Date:  2017-05       Impact factor: 5.166

3.  What We Aren't Measuring Yet: Applying Quality Measurement More Broadly.

Authors:  Adam J Rose
Journal:  J Gen Intern Med       Date:  2016-08       Impact factor: 5.128

4.  Need for Comprehensive Health Care Quality Measures for Older Adults.

Authors:  Stephanie MacLeod; Kay Schwebke; Kevin Hawkins; Joann Ruiz; Emma Hoo; Charlotte S Yeh
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5.  The Merit-based Incentive Payment System: Pearson's Chi-Square and Categorical Dependent Variable Models Analyzed for Domains-Effective Clinical Care and Efficiency/Cost Reduction.

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  5 in total

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