Patient acuity rating: Quantifying clinical judgment regarding inpatient stability.
J Hosp Med. 2011 Aug 18;
Authors: Edelson DP, Retzer E, Weidman EK, Woodruff J, Davis AM, Minsky BD, Meadow W, Hoek TL, Meltzer DO
Abstract
BACKGROUND: New 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. OBJECTIVE: To develop and test a judgment-based scale for conveying the risk of clinical deterioration. DESIGN: Prospective observational study. SETTING: University teaching hospital. SUBJECTS: Internal medicine clinicians and patients. MEASUREMENTS: The 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. RESULTS: Forty 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. CONCLUSIONS: Clinical 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. Journal of Hospital Medicine 2011;. © 2011 Society of Hospital Medicine.
PMID: 21853529 [PubMed - as supplied by publisher]