Evidence map›Paper›PMID 35242867›Full record

ArticleAnnals of translational medicine2022

Evidence-based practice dynamic capabilities: a concept derivation and analysis.

Miao Huo, Bolun Zhao, Ye Li, Jinghua Li

Abstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Miao HuoSchool of Public Health, Jilin University, Changchun, China.
Bolun ZhaoSchool of Nursing, Dalian University, Dalian, China.
Ye LiEmergency Department, Zhongshan Hospital Affiliated to Dalian University, Dalian, China.
Jinghua LiSchool of Public Health, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe environment of healthcare is complex and changeable, and the process of evidence-based practice is "dynamic". Nurses are required to have dynamic capabilities that adjust to changes. However, there is no clear concept of dynamic capabilities in the field of evidence-based practice. The concept of dynamic capabilities needs to be derived from the management field and defined in evidence-based practice.

methodsA Boolean search of the Web of Science, ProQuest, CINAHL, PubMed, and Emerald databases was conducted, and 35 articles met the inclusion criteria. The concept derivation and analysis strategy of Walker and Avant was used to form and define the concept of evidence-based practice dynamic capabilities. This method includes: selecting a concept, determining the aims of the analysis, identifying usages of the concept, determining the defining attributes, identifying antecedents, consequences, and allied concepts.

resultsSensing capability, learning capability, integration capability, and coordination capability are attributes of the concept. The antecedents include personal and infrastructure related factors. The consequences include improved patient outcomes, reduced medical costs, and increased nurse job satisfaction. The allied concept is evidence-based practice competence.

conclusionsAn operational definition of the concept was developed. The concept compensates for the shortcomings of the existing "evidence-based practice competence" concept and helps nursing managers establish a new perspective on the effective implementation of evidence-based practice.

Indexed as

concept analysisconcept derivationdynamic capabilitiesEvidence-based practice

Identifiers

PMID35242867
PMCPMC8825542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.