Literature DB >> 14757799

Is readmission to hospital an indicator of poor process of care for patients with heart failure?

J C Luthi1, B Burnand, W M McClellan, S R Pitts, W D Flanders.   

Abstract

BACKGROUND: Controversy exists about the appropriateness of using readmission as an indicator of the quality of care. A study was undertaken to measure the validity and predictive ability of readmission in this context.
METHODS: An evaluation study was performed in patients discharged alive with heart failure from three Swiss academic medical centres. Process quality indicators were derived from evidence based guidelines for the management and treatment of heart failure. Readmissions were calculated from hospital administrative data. The predictive ability of readmissions was evaluated using bivariate and multivariate analyses, and validity by calculating sensitivity, specificity, positive and negative predictive value, using process indicators as the "gold standard".
RESULTS: Of 1055 eligible patients discharged alive, 139 (13.2%) were readmitted within 30 days. The adjusted odds ratio (OR) for absence of measurement of left ventricular function was 0.70 (95% CI 0.45 to 1.08) for readmissions. In patients with left ventricular systolic dysfunction, three dose categories of angiotensin converting enzyme inhibitor were examined using ordinal logistic regression. The adjusted OR for these categories was 1.07 (95% CI 0.56 to 2.06) for readmissions. When using process indicators as the gold standard to assess the validity of readmissions, sensitivity ranged from 0.08 to 0.17 and specificity from 0.86 to 0.93.
CONCLUSIONS: Readmission did not predict and was not a valid indicator of the quality of care for patients with heart failure admitted to three Swiss university hospitals.

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Mesh:

Year:  2004        PMID: 14757799      PMCID: PMC1758058          DOI: 10.1136/qshc.2003.006999

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  25 in total

1.  Correlates of early hospital readmission or death in patients with congestive heart failure.

Authors:  M H Chin; L Goldman
Journal:  Am J Cardiol       Date:  1997-06-15       Impact factor: 2.778

2.  The meaning of kappa: probabilistic concepts of reliability and validity revisited.

Authors:  I Guggenmoos-Holzmann
Journal:  J Clin Epidemiol       Date:  1996-07       Impact factor: 6.437

3.  Does risk-adjusted readmission rate provide valid information on hospital quality?

Authors:  J W Thomas
Journal:  Inquiry       Date:  1996       Impact factor: 1.730

4.  ACE inhibitors in heart failure. What dose?

Authors:  J G Cleland; W N Hubbard; J Pittard; P A Poole-Wilson; G C Sutton
Journal:  Postgrad Med J       Date:  1995-02       Impact factor: 2.401

5.  Readmission after hospitalization for congestive heart failure among Medicare beneficiaries.

Authors:  H M Krumholz; E M Parent; N Tu; V Vaccarino; Y Wang; M J Radford; J Hennen
Journal:  Arch Intern Med       Date:  1997-01-13

6.  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

7.  Guidelines for the evaluation and management of heart failure. Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Evaluation and Management of Heart Failure).

Authors: 
Journal:  J Am Coll Cardiol       Date:  1995-11-01       Impact factor: 24.094

8.  Investigating early readmission as an indicator for quality of care studies.

Authors:  J W Thomas; J J Holloway
Journal:  Med Care       Date:  1991-04       Impact factor: 2.983

9.  The association between the quality of inpatient care and early readmission.

Authors:  C M Ashton; D H Kuykendall; M L Johnson; N P Wray; L Wu
Journal:  Ann Intern Med       Date:  1995-03-15       Impact factor: 25.391

10.  A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure.

Authors:  M W Rich; V Beckham; C Wittenberg; C L Leven; K E Freedland; R M Carney
Journal:  N Engl J Med       Date:  1995-11-02       Impact factor: 91.245

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  7 in total

1.  Quality of surgical care and readmission in elderly glioblastoma patients.

Authors:  Miriam Nuño; Diana Ly; Debraj Mukherjee; Alicia Ortega; Keith L Black; Chirag G Patil
Journal:  Neurooncol Pract       Date:  2014-05-19

2.  The role of outpatient facilities in explaining variations in risk-adjusted readmission rates between hospitals.

Authors:  Scott A Lorch; Michael Baiocchi; Jeffrey H Silber; Orit Even-Shoshan; Gabriel J Escobar; Dylan S Small
Journal:  Health Serv Res       Date:  2009-09-24       Impact factor: 3.402

3.  Frequency and risk factors associated with emergency medical readmissions in Galway University Hospitals.

Authors:  J Gorman; A Vellinga; J J Gilmartin; S T O'Keeffe
Journal:  Ir J Med Sci       Date:  2009-11-29       Impact factor: 1.568

Review 4.  Is the readmission rate a valid quality indicator? A review of the evidence.

Authors:  Claudia Fischer; Hester F Lingsma; Perla J Marang-van de Mheen; Dionne S Kringos; Niek S Klazinga; Ewout W Steyerberg
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

5.  Diagnosis-specific readmission risk prediction using electronic health data: a retrospective cohort study.

Authors:  Courtney Hebert; Chaitanya Shivade; Randi Foraker; Jared Wasserman; Caryn Roth; Hagop Mekhjian; Stanley Lemeshow; Peter Embi
Journal:  BMC Med Inform Decis Mak       Date:  2014-08-04       Impact factor: 2.796

6.  Admission factors associated with intensive care unit readmission in critically ill oncohematological patients: a retrospective cohort study.

Authors:  Cinthia Mendes Rodrigues; Ellen Maria Campos Pires; Jorge Patrick Oliveira Feliciano; Jose Mauro Vieira; Leandro Utino Taniguchi
Journal:  Rev Bras Ter Intensiva       Date:  2016 Jan-Mar

7.  Predicting 30-Day Readmissions in an Asian Population: Building a Predictive Model by Incorporating Markers of Hospitalization Severity.

Authors:  Lian Leng Low; Nan Liu; Sijia Wang; Julian Thumboo; Marcus Eng Hock Ong; Kheng Hock Lee
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

  7 in total

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