Improving Respiratory Rate Accuracy in the Hospital: A Quality Improvement Initiative

Author:

Keshvani Neil,Berger Kimberly,Gupta Arjun,DePaola Sheila,Nguyen Oanh Kieu,Makam Anil L

Abstract

Respiratory rate (RR) is a predictor of adverse outcomes. However, RRs are inaccurately measured in the hospital. We conducted a quality improvement (QI) initiative using plan-do-study-act methodology on one inpatient unit of a safety-net hospital to improve RR accuracy. We added time-keeping devices to vital sign carts and retrained patient-care assistants on a newly modified workflow that included concomitant RR measurement during automated blood pressure measurement. The median RR was 18 (interquartile range [IQR] 18-20) preintervention versus 14 (IQR 15-20) postintervention. RR accuracy, defined as ±2 breaths of gold-standard measurements, increased from 36% preintervention to 58% postintervention (P < .01). The median time for vital signs decreased from 2:36 minutes (IQR, 2:04-3:20) to 1:55 minutes (IQR, 1:40-2:22; P < .01). The intervention was associated with a 7.8% reduced incidence of tachypnea-specific systemic inflammatory response syndrome (SIRS = 2 points with RR > 20; 95% CI, –13.5% to –2.2%). Our interdisciplinary, low-cost, low-tech QI initiative improved the accuracy and efficiency of RR measurement.

Funder

Agency for Healthcare Research and Quality

National Heart, Lung, and Blood Institute

National Institute on Aging

Publisher

Wiley

Subject

Assessment and Diagnosis,Care Planning,Health Policy,Fundamentals and skills,General Medicine,Leadership and Management

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1. To Preround or Not to Preround;New England Journal of Medicine;2024-05-16

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3. Implementation of convolutional neural networks for respiratory rate detection;Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications;2022-04-04

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