Skip to search boxSkip to navigationSkip to main content

Could our pretest probabilities become evidence based?: A prospective survey of hospital practice

  • W. Scott Richardson(corresponding author)
    ,
  • Walter A. Polashenski
    ,
  • Brett W. Robbins
*Corresponding author for this work
  • Wright State University
    ,
  • Three Owl Learning Institute
    ,
  • University of Rochester
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

OBJECTIVE: We sought to measure the proportion of patients on our clinical service who presented with clinical problems for which research evidence was available to inform estimates of pretest probability. We also aimed to discern whether any of this evidence was of sufficient quality that we would want to use it for clinical decision making. DESIGN: Prospective, consecutive case series and literature survey. SETTING: Inpatient medical service of a university-affiliated Veterans' Affairs hospital in south Texas. PATIENTS: Patients admitted during the 3 study months for diagnostic evaluation. MEASUREMENTS: Patients' active clinical problems were identified prospectively and recorded at the time of discharge, transfer, or death. We electronically searched MEDLINE and hand-searched bibliographies to find citations that reported research evidence about the frequency of underlying diseases that cause these clinical problems. We critically appraised selected citations and ranked them on a hierarchy of evidence. RESULTS: We admitted 122 patients for diagnostic evaluation, in whom we identified 45 different principal clinical problems. For 35 of the 45 problems (78%; 95% confidence interval [95% CI], 66% to 90%), we found citations that qualified as disease probability evidence. Thus, 111 of our 122 patients (91%; 95% CI, 86% to 96%) had clinical problems for which evidence was available in the medical literature. CONCLUSIONS: During 3 months on our hospital medicine service, almost all of the patients admitted for diagnostic evaluation had clinical problems for which evidence is available to guide our estimates of pretest probability. If confirmed by others, these data suggest that clinicians' pretest probabilities could become evidence based.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 203-208 (6 pages)

Journal (Volume, Issue Number)

Journal of General Internal Medicine (Volume 18, Issue 3)

Publication milestones

  • Published - 03/01/2003

Publication status

Published - 03/01/2003

ISSN

0884-8734

Publication IDs

  • Scopus: 0037354589
  • PubMed: 12648252

Publication metrics

Metrics

SciVal
FWCI
0.16
SciVal
Author count
3
SciVal
citations
15
SciVal
Paper percentile
65
Scopus
citations
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Captures
16
Citation count
18