CC BY-NC-ND 4.0 · Appl Clin Inform 2024; 15(05): 1025-1039
DOI: 10.1055/a-2404-2344
Research Article

Nudging towards Sleep-Friendly Health Care: A Multifaceted Approach on Reducing Unnecessary Overnight Interventions

Sullafa Kadura
1   Department of Medicine, Pulmonary Diseases and Critical Care, University of Rochester Medical Center, Rochester, New York, United States
,
Lauren Eisner
2   University of Rochester School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, United States
,
Samia H. Lopa
3   Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, United States
,
Alexander Poulakis
2   University of Rochester School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York, United States
,
Hannah Mesmer
4   Division of Movement Disorders, Department of Neurology, University of Rochester Medical Center, Rochester, New York, United States
,
Nicole Willnow
5   Department of Pharmacy, University of Rochester Medical Center, Rochester, New York, United States
,
Wilfred R. Pigeon
6   Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, United States
› Author Affiliations
Funding The author(s) received no financial support for the research, authorship, and/or publication of this article.
Zoom Image

Abstract

Background Choice architecture refers to the design of decision environments, which can influence decision-making in health care. Nudges are subtle adjustments in these environments that guide decisions toward desired outcomes. For example, computerized provider order entry within electronic health records (EHRs) recommends frequencies for interventions such as nursing assessments and medication administrations, but these can link to around-the-clock schedules without clinical necessity.

Objectives This study aimed to evaluate an intervention to promote sleep-friendly practices by optimizing choice architecture and employing targeted nudges on inpatient order frequencies.

Methods We employed a quasi-experimental interrupted time series analysis of a multifaceted, multiphase intervention to reduce overnight interventions in a hospital system. Our intervention featured EHR modifications to optimize the scheduling of vital sign checks, neurological checks, and medication administrations. Additionally, we used targeted secure messaging reminders and education on an inpatient neurology unit (INU) to supplement the initiative.

Results Significant increases in sleep-friendly medication orders were observed at the academic medical center (AMC) and community hospital affiliate (CHA), particularly for acetaminophen and heparin at the AMC. This led to a reduction in overnight medication administrations, with the most substantial impact observed with heparin at all locations (CHA: 18%, AMC: 10%, INU: 10%, p < 0.05). Sleep-friendly vital sign orders increased significantly at all sites (AMC: 6.7%, CHA: 4.3%, INU: 14%, p < 0.05), and sleep-friendly neuro check orders increased significantly at the AMC (8.1%, p < 0.05). There was also a significant immediate reduction in overnight neurological checks performed at the AMC.

Discussion Tailoring EHR modifications and employing multifaceted nudging strategies emerged as promising approaches for reducing unnecessary overnight interventions. The observed shifts in sleep-friendly ordering translated into decreases in overnight interventions.

Conclusion Multifaceted nudges can effectively influence clinician decision-making and patient care. The varied impacts across nudge types and settings emphasizes the importance of thoughtful nudge design and understanding local workflows.

Note

All work was performed at the University of Rochester Medical Center in Rochester, New York, Unites States.


Protection of Human and Animal Subjects

This minimal risk study received a waiver from the University of Rochester Institutional Review Board (RSRB).


Supplementary Material



Publication History

Received: 28 January 2024

Accepted: 23 August 2024

Accepted Manuscript online:
27 August 2024

Article published online:
27 November 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany