Evidence map›Paper›PMID 29854189›Full record

SynthesisAMIA ... Annual Symposium proceedings. AMIA Symposium2017

Evidence of Progress in Making Nursing Practice Visible Using Standardized Nursing Data: a Systematic Review.

Tamara G R Macieira, Madison B Smith, Nicolle Davis, Yingwei Yao, Diana J Wilkie, Karen Dunn Lopez, Gail Keenan

Abstract readSystematic Review
In one paragraph

Synthesis in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. 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.

Tamara G R MacieiraUniversity of Florida, Florida.
Madison B SmithUniversity of Florida, Florida.
Nicolle DavisUniversity of Florida, Florida.
Yingwei YaoUniversity of Florida, Florida.
Diana J WilkieUniversity of Florida, Florida.
Karen Dunn LopezUniversity of Illinois at Chicago, Illinois.
Gail KeenanUniversity of Florida, Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nursing care documentation in electronic health records (EHRs) with standardized nursing terminologies (SNTs) can facilitate nursing's participation in big data science that involves combining and analyzing multiple sources of data. Before merging SNTs data with other sources, it is important to understand how such data are being used and analyzed to support nursing practice. The main purpose of this systematic review was to identify studies using SNTs data, their aims and analytical methods. A two-phase systematic process resulted in inclusion and review of 35 publications. Aims of the studies ranged from describing most popular nursing diagnoses, outcomes, and interventions on a unit to predicting outcomes using multi-site data. Analytical techniques varied as well and included descriptive statistics, correlations, data mining, and predictive modeling. The review underscored the value of developing a deep understanding of the meaning and potential impact of nursing variables before merging with other sources of data.

Indexed as

Electronic Health RecordsNursing DiagnosisNursing RecordsPatient Care PlanningStandardized Nursing TerminologyHumansNursing Staff, Hospital

Identifiers

PMID29854189
PMCPMC5977718

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.