Literature DB >> 24361014

Challenges in evaluating all-cause hospital readmission measures for use as national consensus standards.

Alexis Morgan1, Adeela Khan2, Taroon Amin3.   

Abstract

CONTEXT: The National Quality Forum (NQF) aims to improve the quality of health care for all Americans through fulfillment of its three-part mission. The NQF uses its formal Consensus Development Process to evaluate and endorse consensus standards, including performance measures, best practices, frameworks, and reporting guidelines.
OBJECTIVE: To understand the opportunities and challenges in endorsing measures addressing all-cause readmissions to hospitals for use as national voluntary consensus standards for accountability and quality-improvement purposes.
DESIGN: Report of standards development process. MAIN OUTCOME MEASURES: The Consensus Development Process was used to evaluate 3 candidate standards using the NQF Measure Evaluation Criteria. A 21-member steering committee rated each standard according to the criteria and made initial endorsement recommendations for all measures.
RESULTS: Through the evaluation of measures for endorsement, several overarching issues in measuring all-cause readmissions were identified, including statistical modeling and the usability of the measures for quality improvement and accountability. Additionally, it was decided that, for the first time, quality monitoring and accountability of readmissions will take place at the health-plan level. Measuring at various levels of accountability reinforces the idea that multiple stakeholders have a responsibility and a role to reduce readmissions.
CONCLUSIONS: These NQF-endorsed measures are a major step in promoting better understanding of readmissions and a reduction in hospital readmission rates, when appropriate. These measures can help reduce the substantial financial and emotional stress that readmissions place on the health care system, and patients will be able to communicate hospital-level performance on this important quality indicator.

Entities:  

Mesh:

Year:  2013        PMID: 24361014      PMCID: PMC3854802          DOI: 10.7812/TPP/13-021

Source DB:  PubMed          Journal:  Perm J        ISSN: 1552-5767


  10 in total

1.  Thirty-day readmissions--truth and consequences.

Authors:  Karen E Joynt; Ashish K Jha
Journal:  N Engl J Med       Date:  2012-03-28       Impact factor: 91.245

Review 2.  Interventions to reduce 30-day rehospitalization: a systematic review.

Authors:  Luke O Hansen; Robert S Young; Keiki Hinami; Alicia Leung; Mark V Williams
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

3.  Identification of factors associated with hospital readmission and development of a predictive model.

Authors:  J M Corrigan; J B Martin
Journal:  Health Serv Res       Date:  1992-04       Impact factor: 3.402

4.  Validation of the potentially avoidable hospital readmission rate as a routine indicator of the quality of hospital care.

Authors:  Patricia Halfon; Yves Eggli; Isaline Prêtre-Rohrbach; Danielle Meylan; Alfio Marazzi; Bernard Burnand
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

5.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

6.  Does practice make perfect? Part II: The relation between volume and outcomes and other hospital characteristics.

Authors:  A B Flood; W R Scott; W Ewy
Journal:  Med Care       Date:  1984-02       Impact factor: 2.983

7.  Thirty-day readmission rates for Medicare beneficiaries by race and site of care.

Authors:  Karen E Joynt; E John Orav; Ashish K Jha
Journal:  JAMA       Date:  2011-02-16       Impact factor: 56.272

8.  The association between the quality of inpatient care and early readmission: a meta-analysis of the evidence.

Authors:  C M Ashton; D J Del Junco; J Souchek; N P Wray; C L Mansyur
Journal:  Med Care       Date:  1997-10       Impact factor: 2.983

9.  Does practice make perfect? Part I: The relation between hospital volume and outcomes for selected diagnostic categories.

Authors:  A B Flood; W R Scott; W Ewy
Journal:  Med Care       Date:  1984-02       Impact factor: 2.983

10.  Postdischarge environmental and socioeconomic factors and the likelihood of early hospital readmission among community-dwelling Medicare beneficiaries.

Authors:  Alicia I Arbaje; Jennifer L Wolff; Qilu Yu; Neil R Powe; Gerard F Anderson; Chad Boult
Journal:  Gerontologist       Date:  2008-08
  10 in total
  1 in total

1.  Conflicting Readmission Rate Trends in a High-Risk Population: Implications for Performance Measurement.

Authors:  C Annette DuBard; Julie C Jacobson Vann; Carlos T Jackson
Journal:  Popul Health Manag       Date:  2015-01-21       Impact factor: 2.459

  1 in total

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