• J Hosp Med · Oct 2011

    Patient acuity rating: quantifying clinical judgment regarding inpatient stability.

    • Dana P Edelson, Elizabeth Retzer, Elizabeth K Weidman, James Woodruff, Andrew M Davis, Bruce D Minsky, William Meadow, HoekTerry L VandenTL, and David O Meltzer.
    • Department of Medicine, University of Chicago, Illinois, USA. dperes@medicine.bsd.uchicago.edu
    • J Hosp Med. 2011 Oct 1; 6 (8): 475-9.

    BackgroundNew resident work-hour restrictions are expected to result in further increases in the number of handoffs between inpatient care providers, a known risk factor for poor outcomes. Strategies for improving the accuracy and efficiency of provider sign-outs are needed.ObjectiveTo develop and test a judgment-based scale for conveying the risk of clinical deterioration.DesignProspective observational study.SettingUniversity teaching hospital.SubjectsInternal medicine clinicians and patients.MeasurementsThe Patient Acuity Rating (PAR), a 7-point Likert score representing the likelihood of a patient experiencing a cardiac arrest or intensive care unit (ICU) transfer within the next 24 hours, was obtained from physicians and midlevel practitioners at the time of sign-out. Cross-covering physicians were blinded to the results, which were subsequently correlated with outcomes.ResultsForty eligible clinicians consented to participate, providing 6034 individual scores on 3419 patient-days. Seventy-four patient-days resulted in cardiac arrest or ICU transfer within 24 hours. The average PAR was 3 ± 1 and yielded an area under the receiver operator characteristics curve (AUROC) of 0.82. Provider-specific AUROC values ranged from 0.69 for residents to 0.85 for attendings (P = 0.01). Interns and midlevels did not differ significantly from the other groups. A PAR of 4 or higher corresponded to a sensitivity of 82% and a specificity of 68% for predicting cardiac arrest or ICU transfer in the next 24 hours.ConclusionsClinical judgment regarding patient stability can be reliably quantified in a simple score with the potential for efficiently conveying complex assessments of at-risk patients during handoffs between healthcare members.Copyright © 2011 Society of Hospital Medicine.

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