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Research Article| Volume 59, P110-114, July 2021

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An Essential Clinical Dataset Intervention for Nursing Documentation of a Pediatric Admission History Database

  • Jenny J. Horn, DNP, MHA RN-BC
    Jenny J. Horn
    Correspondence
    Corresponding author at: 2401 Gillham Road, Kansas City, Missouri, 64108, United States of America.
    Contact
    Affiliations
    Old Dominion University, Norfolk, VA, United States of America

    Children's Mercy - Kansas City, Kansas City, MO, United States of America
    Search for articles by this author
  • Jeffrey N. Doucette, DNP, RN, FAAN
    Jeffrey N. Doucette
      Affiliations
      Old Dominion University, Norfolk, VA, United States of America

      Thomas Jefferson University Hospitals, Philadelphia, PA, United States of America
      Search for articles by this author
    • Nancy L. Sweeney, Ph.D., APRN, BC
      Nancy L. Sweeney
        Affiliations
        Old Dominion University, Norfolk, VA, United States of America
        Search for articles by this author
      Published:April 09, 2021DOI:https://doi.org/10.1016/j.pedn.2021.03.022
      An Essential Clinical Dataset Intervention for Nursing Documentation of a Pediatric Admission History Database
      Previous ArticleDoes Increasing Access to Prenatal Care Reduce Racial Disparities in Birth Outcomes?
      Next ArticleParental Decision-Making in Pediatric Intensive Care: A Concept Analysis
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          Highlights

          • •
            Admission workflows consume a significant amount of nurses' time.
          • •
            Pediatric essential clinical dataset (ECD) is a nursing documentation intervention.
          • •
            A Pediatric ECD can influence nurses' documentation efficiencies and satisfaction.

          Abstract

          Purpose

          The purpose of this study was to improve nursing documentation efficiencies and satisfaction of a pediatric admission history workflow. Secondary aims determined if defining essential data elements was associated with decreased pediatric admission history documentation time, increased dataset completion rate, and increased satisfaction.

          Design and methods

          A quasi-experimental between-group difference comparison was conducted for a nurse-led quality improvement study that included implementation of a pediatric essential clinical dataset (ECD) tool for pre/post-intervention analysis of nursing admission history documentation time, dataset completion rate, and satisfaction. A survey was administered to nurses pre- and post-intervention to compare documentation satisfaction.

          Results

          Nursing admission history documentation time decreased by 1 min 31 s and the number of clicks decreased 38%. Dataset utilization increased 8% indicating improved nursing documentation of essential questions within a pediatric admission history form. Nursing documentation satisfaction with the pediatric admission history form was minimally impacted by the pediatric ECD study intervention.

          Conclusions

          Defining what is essential for nurses to document positively influenced nursing documentation time, dataset completion rate, and satisfaction.

          Practice implications

          The study contributed to EHR content standardization, optimization, and documentation efficiencies for nurses within a pediatric organization with implications for clinical and informatics collaboration to create real-world evidence, leveraging an intervention that decreased documentation burden and increased time for children and families.

          Keywords

          • Nursing documentation
          • Electronic health record
          • Nursing efficiency
          • EHR time
          • EHR satisfaction
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          Article info

          Publication history

          Published online: April 09, 2021
          Accepted: March 22, 2021
          Received in revised form: March 18, 2021
          Received: December 17, 2020

          Identification

          DOI: https://doi.org/10.1016/j.pedn.2021.03.022

          Copyright

          © 2021 Elsevier Inc. All rights reserved.

          ScienceDirect

          Access this article on ScienceDirect

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