Impact of a Clinical Decision Support Alert on Informed Consent Documentation in the Neonatal Intensive Care Unit

Emily Sangillo1, Neena Jube-Desai1, Dina El-Metwally1

  • 1From the Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Md.

PubMed

Insights

Improving informed consent in the neonatal intensive care unit (ICU) is crucial. A bundled approach, including clinical decision support (CDS) alerts, significantly increased consent documentation compliance from 0% to over 86%.

Area of Science:

  • Healthcare Quality Improvement
  • Patient Safety
  • Medical Ethics

Background:

  • Informed consent is vital for patient autonomy and shared decision-making.
  • Consent documentation compliance is often suboptimal in intensive care units (ICUs).
  • This study focused on improving bundled consent documentation in a neonatal ICU.

Purpose of the Study:

  • To enhance compliance with bundled consent documentation in a neonatal ICU.
  • To achieve a compliance rate of 50% within one year.
  • To evaluate the impact of a multi-faceted quality improvement intervention.

Main Methods:

  • Utilized the Plan-Do-Study-Act (PDSA) model for quality improvement.
  • Implemented interventions: education, process redesign, form revision, and clinical decision support (CDS) alerts.
  • Conducted monthly audits to track consent compliance and gathered feedback on CDS.

Main Results:

  • Median consent compliance increased from 0% to 86.6% over 37 months.
  • The introduction of CDS alerts correlated with the highest compliance rates (93.3%).
  • Sustained compliance was observed after CDS restoration, with no missing forms in the final 7 months.

Conclusions:

  • A multi-faceted strategy, particularly CDS alerts, significantly improved bundled consent documentation compliance in the neonatal ICU.
  • The findings suggest that CDS interventions can effectively enhance informed consenting processes in ICUs.
  • This approach holds potential for improving patient care and autonomy in critical care settings.
Abstract

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