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Initiative for Prevention and Early Identification of Delirium in Medical-Surgical Units: Lessons Learned in the Past Five Years - 12/12/19

Doi : 10.1016/j.amjmed.2019.05.035 
Nidhi Rohatgi, MD, MS a, , Yingjie Weng, MHS a, Jason Bentley, PhD a, Maarten G. Lansberg, MD, PhD b, John Shepard, MHA, MBA c, Diana Mazur, RN, MSN, CNS, BMTCN d, Neera Ahuja, MD a, Joseph Hopkins, MD, MMM a, c
a Department of Medicine, Stanford University School of Medicine, Stanford, Calif 
b Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, Calif 
c Department of Quality, Patient Safety, and Clinical Effectiveness, Stanford, Calif 
d Department of Nursing, Stanford Health Care, Stanford, Calif 

Requests for reprints should be addressed to Nidhi Rohatgi, MD, MS, Department of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, HCO32D, MC 5210, Stanford, CA 94305.Department of MedicineStanford University School of Medicine300 Pasteur Drive, HCO32D, MC 5210StanfordCA94305

Abstract

Background

Delirium is an acute change in mental status affecting 10%-64% of hospitalized patients, and may be preventable in 30%-40% of cases. In October 2013, a task force for delirium prevention and early identification in medical-surgical units was formed at our hospital. We studied whether our standardized protocol prevented delirium among high-risk patients.

Methods

We studied 105,455 patient encounters between November 2013 and January 2018. Since November 2013, there has been ongoing education to decrease deliriogenic medications use. Since 2014, nurses screen all patients for presence or absence of delirium using the Confusion Assessment Method (CAM). Since 2015, nurses additionally screen all patients for risk of delirium. In 2015, a physician order set for delirium was created. Nonpharmacological measures are implemented for high-risk or CAM positive patients.

Results

98.8% of patient encounters had CAM screening, and 99.6% had delirium risk screening. Since 2013, odds of opiate use decreased by 5.0% per year (P < .001), and odds of benzodiazepine use decreased by 8.0% per year (P < .001). There was no change in anticholinergic use. In the adjusted analysis, since 2015, odds of delirium decreased by 25.3% per year among high-risk patients (n = 21,465; P < .001). Among high-risk patients or those diagnosed with delirium (n = 22,121), estimated length of stay decreased by 0.13 days per year (P < .001), odds of inpatient mortality decreased by 16.0% per year (P = .011), and odds of discharge to a nursing home decreased by 17.1% per year (P < .001).

Conclusion

With high clinician engagement and simplified workflows, our delirium initiative has shown sustained results.

El texto completo de este artículo está disponible en PDF.

Keywords : Delirium, Medical-surgical units, Prevention, Quality improvement


Esquema


 Funding: None.
 Conflict of Interest: None for all authors.
 Authorship: All authors had access to the data and had a role in writing and reviewing the manuscript.


© 2019  Elsevier Inc. Reservados todos los derechos.
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Vol 132 - N° 12

P. 1421 - décembre 2019 Regresar al número
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