Literature DB >> 7649753

Are PRO discharge screens associated with postdischarge adverse outcomes?

F Wei1, D Mark, A Hartz, C Campbell.   

Abstract

OBJECTIVE: We evaluate whether patient outcomes may be affected by possible errors in care at discharge as assessed by Peer Review Organizations (PROs). DATA SOURCES/STUDY
SETTING: The three data sources for the study were (1) the generic screen results of a 3 percent random sample of Medicare beneficiaries age 65 years or older who were admitted to California hospitals between 1 July 1987 and 30 June 1988 (n = 20,136 patients); (2) the 1987 and 1988 California Medicare Provided Analysis and Review (MEDPAR) data files; and (3) the American Hospital Association (AHA) 1988 Annual Survey of Hospitals. STUDY
DESIGN: Multivariate logistic regression analysis was used to evaluate the association between the results of generic discharge administered by the PROs and two patient outcomes: mortality and readmission within 30 days. The analysis was adjusted for other patient characteristics recorded on the uniform discharge abstract. PRINCIPAL
FINDINGS: Four discharge screens indicated an increased risk of an adverse outcome-absence of documentation of discharge planning, elevated temperature, abnormal pulse, and unaddressed abnormal test results at discharge. The other three discharge screens examined-abnormal blood pressure, IV fluids or drugs, and wound drainage before discharge-were unrelated to postdischarge adverse outcomes.
CONCLUSIONS: Generic discharge screens based on inadequate discharge planning, abnormal pulse, increased temperature, or unaddressed abnormal tests may be important indicators of substandard care. Other discharge screens apparently do not detect errors in care associated with major consequences for patients.

Entities:  

Mesh:

Year:  1995        PMID: 7649753      PMCID: PMC2495091     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  18 in total

1.  Adjusted hospital death rates: a potential screen for quality of medical care.

Authors:  R W Dubois; R H Brook; W H Rogers
Journal:  Am J Public Health       Date:  1987-09       Impact factor: 9.308

2.  Using administrative data for longitudinal research: comparisons with primary data collection.

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3.  Use of claims data systems to evaluate health care outcomes. Mortality and reoperation following prostatectomy.

Authors:  J E Wennberg; N Roos; L Sola; A Schori; R Jaffe
Journal:  JAMA       Date:  1987-02-20       Impact factor: 56.272

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Authors:  N McCall; H S Wai
Journal:  Med Care       Date:  1983-06       Impact factor: 2.983

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Authors:  S F Jencks; D K Williams; T L Kay
Journal:  JAMA       Date:  1988-10-21       Impact factor: 56.272

6.  Hospital readmissions in the Medicare population.

Authors:  G F Anderson; E P Steinberg
Journal:  N Engl J Med       Date:  1984-11-22       Impact factor: 91.245

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Journal:  Med Care       Date:  1986-05       Impact factor: 2.983

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Journal:  J Am Geriatr Soc       Date:  1985-09       Impact factor: 5.562

9.  Using prior utilization to determine payments for Medicare enrollees in health maintenance organizations.

Authors:  J Beebe; J Lubitz; P Eggers
Journal:  Health Care Financ Rev       Date:  1985

10.  Clinical and sociodemographic risk factors for readmission of Medicare beneficiaries.

Authors:  J J Holloway; J W Thomas; L Shapiro
Journal:  Health Care Financ Rev       Date:  1988
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  4 in total

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4.  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

  4 in total

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