Gr. Parkerson et al., THE DUKE SEVERITY OF ILLNESS CHECKLIST (DUSOI) FOR MEASUREMENT OF SEVERITY AND COMORBIDITY, Journal of clinical epidemiology, 46(4), 1993, pp. 379-393
Citations number
25
Categorie Soggetti
Public, Environmental & Occupation Heath","Medicine, General & Internal
The Duke Severity of Illness Checklist (DUSOI) was evaluated on 414 pr
imary care adult patients using data collected both by medical provide
rs at the time of the patient visit and later by a chart auditor. Seve
rity scores for individual diagnoses were determined by summing the ra
tings for four non-disease-specific parameters: symptom level, complic
ations, prognosis without treatment, and expected response to treatmen
t. Mean diagnosis severity scores (scale 0-100) among the 21 most prev
alent diagnoses varied from a low of 13.9 for menopausal syndrome to a
high of 43.0 for sprains and strains. An overall severity score was c
alculated by combining diagnosis severity scores and giving highest we
ights to the most severe diagnoses. Provider-generated overall severit
y scores (mean = 43.3) and auditor-generated overall severity scores (
mean = 38.9) were significantly correlated (coefficient of agreement =
0.59, p < 0.0001). Diagnoses varied in their individual contribution
to the overall severity score, from 8.9% for lipid disorder to 90.0% f
or sprains and strains. Separate comorbidity severity scores were calc
ulated to measure the severity of all of each patient's health problem
s except the diagnosis under study. For example, patients with menopau
sal syndrome had co-existing health problems which generated a high me
an comorbidity severity score of 43.2, while patients with sprains and
strains had a low mean comorbidity score of 4.7. The DUSOI Checklist
can be used in the clinical setting by both providers and auditors to
produce quantitative severity scores (by diagnosis, overall, and for c
omorbidity) which are based entirely upon clinical judgment. This meth
od should be useful in controlling for severity of illness in clinical
studies and indicating the outcome of medical care in terms of reduct
ion in severity of illness following medical interventions.