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.

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. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Bates DW, Gawande AA. Improving safety with information technology. N Engl J Med 2003; 348 (25) 2526-2534
  • 2 Thaler RS. C. Nudge: The Final Edition . Penguin Random House; 2021
  • 3 Kadura S, Siala T, Arora VM. Perspective: Leveraging the electronic health record to improve sleep in the hospital. J Clin Sleep Med 2023; 19 (02) 421-423
  • 4 Olson J, Hollenbeak C, Donaldson K, Abendroth T, Castellani W. Default settings of computerized physician order entry system order sets drive ordering habits. J Pathol Inform 2015; 6: 16
  • 5 Rubins D, Boxer R, Landman A, Wright A. Effect of default order set settings on telemetry ordering. J Am Med Inform Assoc 2019; 26 (12) 1488-1492
  • 6 Last BS, Buttenheim AM, Timon CE, Mitra N, Beidas RS. Systematic review of clinician-directed nudges in healthcare contexts. BMJ Open 2021; 11 (07) e048801
  • 7 Li RC, Wang JK, Sharp C, Chen JH. When order sets do not align with clinician workflow: assessing practice patterns in the electronic health record. BMJ Qual Saf 2019; 28 (12) 987-996
  • 8 Lyell D, Coiera E. Automation bias and verification complexity: a systematic review. J Am Med Inform Assoc 2017; 24 (02) 423-431
  • 9 Orlov NM, Arora VM. Things we do for no Reason™: routine overnight vital sign checks. J Hosp Med 2020; 15 (05) 272-274
  • 10 Dobing S, Frolova N, McAlister F, Ringrose J. Sleep quality and factors influencing self-reported sleep duration and quality in the general internal medicine inpatient population. PLoS One 2016; 11 (06) e0156735
  • 11 Grossman MN, Anderson SL, Worku A. et al. Awakenings? Patient and hospital staff perceptions of nighttime disruptions and their effect on patient sleep. J Clin Sleep Med 2017; 13 (02) 301-306
  • 12 Kadura S, Poulakis A, Roberts DE. et al. Sleeping with one cerebrum open: patient and staff perceptions of sleep quality and quantity on an inpatient neurology unit. J Clin Sleep Med 2024; 20 (04) 619-629
  • 13 Wesselius HM, van den Ende ES, Alsma J. et al; “Onderzoeks Consortium Acute Geneeskunde” Acute Medicine Research Consortium. Quality and quantity of sleep and factors associated with sleep disturbance in hospitalized patients. JAMA Intern Med 2018; 178 (09) 1201-1208
  • 14 Delaney LJ, Currie MJ, Huang H-CC, Lopez V, Van Haren F. “They can rest at home”: an observational study of patients' quality of sleep in an Australian hospital. BMC Health Serv Res 2018; 18 (01) 524
  • 15 Peirce LB, Orlov NM, Erondu AI. et al. Caregiver and staff perceptions of disruptions to pediatric inpatient sleep. J Clin Sleep Med 2018; 14 (11) 1895-1902
  • 16 Mozer CL, Bhagat PH, Seward SA. et al. Optimizing oral medication schedules for inpatient sleep: a quality improvement intervention. Hosp Pediatr 2021; 11 (04) 327-333
  • 17 Jarman H, Jacobs E, Walter R, Witney C, Zielinski V. Allowing the patients to sleep: flexible medication times in an acute hospital. Int J Nurs Pract 2002; 8 (02) 75-80
  • 18 Holleck ME, Tikkanen K, Holleck JL. et al. Reducing nighttime interruptions and improving sleep for hospitalized patients by restructuring nighttime clinical workflow. J Gen Intern Med 2023; 38 (09) 2091-2097
  • 19 Arora VM, Machado N, Anderson SL. et al. Effectiveness of SIESTA on objective and subjective metrics of nighttime hospital sleep disruptors. J Hosp Med 2019; 14 (01) 38-41
  • 20 Grouse CK, Waung MW, Holmgren AJ. et al. Behavioral “nudges” in the electronic health record to reduce waste and misuse: 3 interventions. J Am Med Inform Assoc 2023; 30 (03) 545-550
  • 21 Raban MZGP, Gates PJ, Gamboa S, Gonzalez G, Westbrook JI. Effectiveness of non-interruptive nudge interventions in electronic health records to improve the delivery of care in hospitals: a systematic review. J Am Med Inform Assoc 2023; 30 (07) 1313-1322
  • 22 Yoong SL, Hall A, Stacey F. et al. Nudge strategies to improve healthcare providers' implementation of evidence-based guidelines, policies and practices: a systematic review of trials included within Cochrane systematic reviews. Implement Sci 2020; 15 (01) 50
  • 23 Coughlin RF, Peaper D, Rothenberg C. et al. Electronic health record-assisted reflex urine culture testing improves emergency department diagnostic efficiency. Am J Med Qual 2020; 35 (03) 252-257
  • 24 Durand DJ, Feldman LS, Lewin JS, Brotman DJ. Provider cost transparency alone has no impact on inpatient imaging utilization. J Am Coll Radiol 2013; 10 (02) 108-113
  • 25 Herman DJ, Sarabia A, Chan H, Graham C. Changing results to change results: nudging antimicrobial prescribing for Clostridium difficile . Open Forum Infect Dis 2020; 8 (06) ofaa605
  • 26 Feldman LS, Shihab HM, Thiemann D. et al. Impact of providing fee data on laboratory test ordering: a controlled clinical trial. JAMA Intern Med 2013; 173 (10) 903-908