Evidence map›Paper›PMID 31188439›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2019

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review.

Tamara G R Macieira, Tania C M Chianca, Madison B Smith, Yingwei Yao, Jiang Bian, Diana J Wilkie, Karen Dunn Lopez, Gail M Keenan

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Observational
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  7. Review
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  9. Review
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  13. Individual and contextual factors in the Swedish Nutrition Care Process Terminology implementation.Health information management : journal of the Health Information Management Association of Australia · 2024
    Article
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  20. Nursing Informatics' Contribution to One Health.Yearbook of medical informatics · 2023
    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

8 authors.

Tamara G R MacieiraCollege of Nursing, University of Florida, Gainesville, Florida, USA.
Tania C M ChiancaDepartment of Basic Nursing, School of Nursing, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Madison B SmithCollege of Nursing, University of Florida, Gainesville, Florida, USA.
Yingwei YaoDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, Florida, USA.
Jiang BianDepartment of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
Diana J WilkieDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, Florida, USA.
Karen Dunn LopezBiomedical and Health Information Science, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
Gail M KeenanDepartment of Family, Community and Health Systems Science, College of Nursing, University of Florida, Gainesville, Florida, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Peihua Qiu · 2007 to 2026
$22.8M
Describing, Contrasting, and Visualizing End-of-Life Care in the 21st CenturyR01NR012949 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ANSARI, RASHID, KEENAN, GAIL M · 2011 to 2014
$2.0M
NCATS NIH HHS UL1 TR001427NIA NIH HHS P30 AG028740NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

objectiveThe study sought to present the findings of a systematic review of studies involving secondary analyses of data coded with standardized nursing terminologies (SNTs) retrieved from electronic health records (EHRs). MATERIALS AND

methodsWe identified studies that performed secondary analysis of SNT-coded nursing EHR data from PubMed, CINAHL, and Google Scholar. We screened 2570 unique records and identified 44 articles of interest. We extracted research questions, nursing terminologies, sample characteristics, variables, and statistical techniques used from these articles. An adapted STROBE (Strengthening The Reporting of OBservational Studies in Epidemiology) Statement checklist for observational studies was used for reproducibility assessment.

resultsForty-four articles were identified. Their study foci were grouped into 3 categories: (1) potential uses of SNT-coded nursing data or challenges associated with this type of data (feasibility of standardizing nursing data), (2) analysis of SNT-coded nursing data to describe the characteristics of nursing care (characterization of nursing care), and (3) analysis of SNT-coded nursing data to understand the impact or effectiveness of nursing care (impact of nursing care). The analytical techniques varied including bivariate analysis, data mining, and predictive modeling. DISCUSSION: SNT-coded nursing data extracted from EHRs is useful in characterizing nursing practice and offers the potential for demonstrating its impact on patient outcomes.

conclusionsOur study provides evidence of the value of SNT-coded nursing data in EHRs. Future studies are needed to identify additional useful methods of analyzing SNT-coded nursing data and to combine nursing data with other data elements in EHRs to fully characterize the patient's health care experience.

Indexed as

Electronic Health RecordsInformation Storage and RetrievalNursing RecordsNursing ResearchStandardized Nursing TerminologyNursing InformaticsNursing ProcessObservational Studies as Topicelectronic health recordsnursing informaticsstandardized nursing terminology

Identifiers

PMID31188439
PMCPMC6798576

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.