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Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
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Using Learning Outcome Measures to assess Doctoral Nursing Education
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Exploring data management content in doctoral nursing handbooks.

Rebecca Raszewski1, Abigail H Goben2, Martha Dewey Bergren3

  • 1raszewr1@uic.edu, Associate Professor & Information Services & Liaison Librarian, Library of the Health Sciences Chicago, University of Illinois at Chicago, Chicago IL.

Journal of the Medical Library Association : JMLA
|July 21, 2021
PubMed
Summary
This summary is machine-generated.

Doctoral nursing student handbooks often lack comprehensive data management (DM) education, primarily covering data collection and analysis. This highlights a need for improved DM life cycle content, especially in Doctor of Nursing Practice programs.

Keywords:
data life cycledata managementnursing doctoral educationstudent handbooks

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Area of Science:

  • Nursing Education
  • Data Management
  • Scholarly Communication

Background:

  • Doctorally prepared nurses increasingly manage data, yet their educational preparation in data management (DM) is not well-understood.
  • Student handbooks are key documents reflecting institutional expectations and educational content for doctoral nursing programs.

Purpose of the Study:

  • To evaluate the extent and nature of data management (DM) content within doctoral nursing student handbooks.
  • To identify how DM education is integrated into the curriculum as reflected in official program documentation.

Main Methods:

  • A comprehensive search identified 346 doctoral nursing programs from the American Association of Colleges of Nursing (AACN).
  • 261 handbooks from 215 institutions were textually reviewed to locate and analyze data management (DM) content.
  • Statistical analyses compared DM content presence based on institutional characteristics and program type.

Main Results:

  • Data management (DM) content was identified across 1,382 codes, predominantly within project requirements sections.
  • The most frequent DM mentions concerned data collection and analysis, while data publishing, sharing, and preservation were least addressed.
  • Significant variations in DM content frequency and location were observed based on program type and institutional classification.

Conclusions:

  • Nursing doctoral handbooks predominantly focus on data collection and analysis, indicating a gap in comprehensive data management (DM) life cycle education.
  • Doctor of Nursing Practice (DNP) programs show particularly limited inclusion of DM life cycle content.
  • Enhanced collaboration between nursing faculty, librarians, and professional organizations is crucial to integrate DM best practices for future clinicians and scholars.