Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The Utility of Severity of Illness Information in Assessing the Quality of Hospital Care

The Role of the Clinical Trajectory

Bibliographic Data

ID9100397
AuthorsLisa I Iezzoni (0000-0002-1416-5039, Harvard University, corresponding author), Joseph D Restuccia (Boston University), Michael Shwartz (0000-0003-4840-1682, Boston University), Diane Schaumburg (Boston University), Gerald A Coffman (0000-0002-0044-6219, Boston University), Bernard E Kreger (Boston University), John R Butterly (Lahey Hospital and Medical Center), Harry P Selker (0000-0001-5322-7178, Tufts University)
Year1992
Volume30
Issue5
Pages428-444
Publication date1992-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199205000-00005
PMID1583920
OpenAlexW2092274630
LanguageEN
Citations received2
References cited8

This research explored whether differentiating patients whose severity of illness worsened, improved, or remained the same over the hospital stay is a good screen for quality of care. The hypothesis was that substandard care is more likely to occur among patients who have worsened. Severity was measured using the Computerized Severity Index (CSI) and MedisGroups in 233 patients who had experienced acute myocardial infarction and 279 who had undergone coronary artery bypass graft who were admitted to four New England hospitals in 1987. Deaths and patients with discharge diagnoses indicating iatrogenic events and complications were oversampled. Potential quality problems were identified through explicit screening criteria applied by nurse researchers and implicit physician reviews. Acute myocardial infarction patients who worsened had higher rates of potential quality problems than other patients (CSI, P = 0.06; MedisGroups, P = 0.01). For the CSI, the 49.4% of patients who worsened captured 70.6% of the potentially substandard care; for MedisGroups, the 35.6% of patients who worsened also encompassed 70.6% of the problematic cases. For coronary artery bypass graft, results varied depending on how severity and quality were defined. The CSI performed better using implicit physician review to identify problematic care (P = 0.00), capturing 76.5% of substandard cases among the 41.6% of patients who worsened. In contrast, MedisGroups did better using explicit quality screens (P = 0.04), grouping 60.5% of the problematic cases among the 47.0% of patients who worsened. After removing in-hospital deaths from consideration, a worsening trajectory was generally associated with a higher fraction of potential quality problems among live discharges. This preliminary study suggests that examining changes in illness severity may be a useful screen for substandard hospital care, but its utility could vary by condition and by how quality problems are defined

Artery · Coronary artery bypass surgery · Intensive care medicine · Medical diagnosis · Myocardial infarction · Severity of illness · Veterans Affairs · Emergency Medicine · Healthcare Policy and Management · Internal Medicine · Medical Coding and Health Information · Medicine · Patient Satisfaction in Healthcare

  • Judging hospitals by severity-adjusted mortality rates

    Lisa I Iezzoni, Arlene S Ash et al.•American Journal of Public Health•1996

  • Comparing hospitals that perform coronary artery bypass surgery

    Arthur J Hartz, Evelyn M Kuhn•American Journal of Public Health•1994

  • Statistical Methods for Rates and Proportions

    Open Access•Joseph L Fleiss, Bruce Levin et al.•Statistical methods for rates and…•2003

  • The Measurement of Observer Agreement for Categorical Data

    J R Landis, Gary G Koch•Biometrics•1977

  • Admission and mid-stay MedisGroups scores as predictors of death within 30 days of hospital admission

    Lisa I Iezzoni, Arlene S Ash et al.•American Journal of Public Health•1991

  • Adjusted hospital death rates

    Robert W Dubois, Robert H Brook et al.•American Journal of Public Health•1987

  • Admission MedisGroups Score and the Cost of Hospitalizations

    Lisa I Iezzoni, Arlene S Ash et al.•Medical Care•1988

  • Studies of Process-Outcome Correlations in Medical Care Evaluations

    William E Mcauliffe, William McAuliffe•Medical Care•1978

  • Studies of Process-Outcome Correlations in Medical Care Evaluations

    Robert H Brook•Medical Care•1979

  • Admission and Mid-Stay MedisGroups?? Scores as Predictors of Hospitalization Charges

    Lisa I Iezzoni, Arlene S Ash et al.•Medical Care•1991

Unique citing works2
Citations per year0,06
Citation span1994 - 1996 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae