Literature DB >> 8428815

Relationship of physician ratings of severity of illness and difficulty of clinical management to length of stay.

C Kelleher1.   

Abstract

In a concurrent prospective study, medical and surgical residents rated the severity of illness and difficulty of clinical management of each of their patients within 24 hours of admission, and on a daily basis throughout the patient's stay. Data were collected on consecutive admissions resulting in 661 admissions with complete data for analysis. Results indicate that difficulty and severity are correlated, each explaining variations in length of stay (LOS), and together explaining up to 44 percent. Four alternative measures are tested, first-day values, average values over the stay, peak or highest values, and a zero-one measure indicating whether or not the severity or difficulty fluctuated over the stay. First-day and average measures of severity and difficulty explain little variation in LOS; peak and fluctuating measures are highly explanatory. After adjusting for diagnosis-related groups (DRGs), fluctuating severity adds 34 percent, and adjusting for both DRGs and severity, fluctuating difficulty adds 10 percent for a total of 53 percent variance explained. In comparable results, peak severity adds 21 percent, and peak difficulty 4 percent, for a total of 34 percent variance explained. Findings indicate that difficulty had independent value as a predictor, and the high explanatory power of the fluctuating measures suggests that a third dimension, instability, may be as important as severity and difficulty in explaining LOS.

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Year:  1993        PMID: 8428815      PMCID: PMC1069915     

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


  13 in total

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Authors:  D B Aronow
Journal:  Med Care Rev       Date:  1988

2.  Prospective payment system and impairment at discharge. The 'quicker-and-sicker' story revisited.

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Journal:  JAMA       Date:  1990-10-17       Impact factor: 56.272

3.  Changes in sickness at admission following the introduction of the prospective payment system.

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Journal:  JAMA       Date:  1990-10-17       Impact factor: 56.272

4.  APACHE III study design: analytic plan for evaluation of severity and outcome in intensive care unit patients. Development of APACHE III.

Authors:  D Wagner; E Draper; W Knaus
Journal:  Crit Care Med       Date:  1989-12       Impact factor: 7.598

5.  Refining case-mix adjustment. The research evidence.

Authors:  S F Jencks; A Dobson
Journal:  N Engl J Med       Date:  1987-09-10       Impact factor: 91.245

Review 6.  Measurement of severity of illness and the Medicare prospective payment system: state of the art and future directions.

Authors:  L F McMahon; J E Billi
Journal:  J Gen Intern Med       Date:  1988 Sep-Oct       Impact factor: 5.128

7.  Measuring the complexity and uncertainty of surgery and postsurgical care.

Authors:  C B Schoonhoven; W R Scott; A B Flood; W H Forrest
Journal:  Med Care       Date:  1980-09       Impact factor: 2.983

8.  The evolution of medical uncertainty.

Authors:  R C Fox
Journal:  Milbank Mem Fund Q Health Soc       Date:  1980

9.  DRGs and severity of illness measures: an analysis of patient classification systems.

Authors:  M D Rosko
Journal:  J Med Syst       Date:  1988-08       Impact factor: 4.460

10.  The effects of patient, hospital, and physician characteristics on length of stay and mortality.

Authors:  L R Burns; D R Wholey
Journal:  Med Care       Date:  1991-03       Impact factor: 2.983

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  4 in total

1.  Inpatient stays for patients diagnosed with severe psychiatric disorders and substance abuse.

Authors:  C J Bradley; G A Zarkin
Journal:  Health Serv Res       Date:  1996-10       Impact factor: 3.402

2.  High cost factors for leukaemia and lymphoma patients: a new analysis of costs within these diagnosis related groups.

Authors:  C Quantin; F Entezam; P Brunet-Lecomte; E Lepage; H Guy; L Dusserre
Journal:  J Epidemiol Community Health       Date:  1999-01       Impact factor: 3.710

3.  Development of an instrument for the identification of frail older people as a target population for integrated care.

Authors:  Janneke A L van Kempen; Henk J Schers; Anne Jacobs; Sytse U Zuidema; Franca Ruikes; Sarah H M Robben; René J F Melis; Marcel G M Olde Rikkert
Journal:  Br J Gen Pract       Date:  2013-03       Impact factor: 5.386

4.  PMC Patient Severity Scale: derivation and validation.

Authors:  W W Young; S Kohler; J Kowalski
Journal:  Health Serv Res       Date:  1994-08       Impact factor: 3.402

  4 in total

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