Evidence map›Paper›PMID 34285667›Full record

ArticleJournal of the Medical Library Association : JMLA2021

Exploring data management content in doctoral nursing handbooks.

Rebecca Raszewski, Abigail H Goben, Martha Dewey Bergren, Krista Jones, Catherine Ryan, Alana Steffen, Susan C Vonderheid

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rebecca Raszewskiraszewr1@uic.edu, Associate Professor & Information Services & Liaison Librarian, Library of the Health Sciences Chicago, University of Illinois at Chicago, Chicago IL.ORCID 0000-0003-1210-4272
Abigail H Gobenagoben@uic.edu, Associate Professor & Data Management Coordinator & Liaison Librarian, Library of the Health Sciences Chicago, University of Illinois at Chicago, Chicago, IL.ORCID 0000-0002-6520-3648
Martha Dewey Bergrenbergren@uic.edu, Clinical Professor, Clinical Professor, Associate Department Head, Health Systems Science, Director, Advanced Population Health Nursing, Health Systems Leadership & Informatics, University of Illinois-Chicago College of Nursing, Chicago, IL.ORCID 0000-0001-8655-5418
Krista Joneskjones29@illinois.edu, Director, Urbana Regional Campus, Clinical Associate Professor Department of Health Systems Sciences, University of Illinois-Chicago College of Nursing, Champaign, IL.
Catherine Ryancryan4@uic.edu, Clinical Associate Professor, Department of Biobehavioral Health Science, University of Illinois-Chicago College of Nursing, Chicago, IL.
Alana Steffensteffan@uic.edu, Senior Biostatistician, Research Assistant Professor, Department of Health Systems Sciences, University of Illinois-Chicago College of Nursing, Chicago, IL.ORCID 0000-0003-4292-6138
Susan C Vonderheidvonde@uic.edu, Clinical Assistant Professor, Department of Women, Children, and Family Health Science, University of Illinois-Chicago College of Nursing, Director of Nursing Research, University of Illinois Hospital & Health Sciences System, Chicago, IL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWhile data management (DM) is an increasing responsibility of doctorally prepared nurses, little is understood about how DM education and expectations are reflected within student handbooks. The purpose of this study was to assess the inclusion of DM content within doctoral nursing student handbooks.

methodsA list of 346 doctoral programs was obtained from the American Association of Colleges of Nursing (AACN). Program websites were searched to locate program handbooks, which were downloaded for analysis. A textual review of 261 handbooks from 215 institutions was conducted to determine whether DM was mentioned and, if so, where the DM content was located. Statistical analysis was performed to compare the presence of DM guidance by type of institution, Carnegie Classification, and the type of doctoral program handbook.

resultsA total of 1,382 codes were identified across data life cycle stages, most commonly in the handbooks' project requirements section. The most frequent mention of DM was in relation to collecting and analyzing data; the least frequent related to publishing and sharing data and preservation. Significant differences in the frequency and location of codes were identified by program type and Carnegie Classification.

conclusionsNursing doctoral program handbooks primarily address collecting and analyzing data during student projects. Findings suggest limited education about, and inclusion of, DM life cycle content, especially within DNP programs. Collaboration between nursing faculty and librarians and nursing and library professional organizations is needed to advance the adoption of DM best practices for preparing students in their future roles as clinicians and scholars.

Indexed as

Education, Nursing, GraduatePhysiciansStudents, NursingData ManagementFaculty, NursingHumansdata life cycledata managementnursing doctoral educationstudent handbooks

Identifiers

PMID34285667
PMCPMC8270346

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.