Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 499

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

The State of Evidence-Based Practice in US Nurses: Critical Implications for Nurse Leaders and Educators

Melnyk, Bernadette Mazurek, Fineout-Overholt, Ellen, Gallagher-Ford, Lynn, Kaplan, Louise·2012·JONA: The Journal of Nursing Administration

Abstract

This descriptive survey assessed the perception of evidence-based practice (EBP) among nurses in the United States. Although evidence-based healthcare results in improved patient outcomes and reduced costs, nurses do not consistently implement evidence-based best practices. A descriptive survey was conducted with a random sample of 1015 RNs who are members of the American Nurses Association. Although nurses believe in evidence-based care, barriers remain prevalent, including resistance from colleagues, nurse leaders, and managers. Differences existed in responses of nurses from Magnet® versus non-Magnet institutions as well as nurses with master's versus nonmaster's degrees. Nurse leaders and educators must provide learning opportunities regarding EBP and facilitate supportive cultures to achieve the Institute of Medicine's 2020 goal that 90% of clinical decisions be evidence-based.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/nna.0b013e3182664e0a

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 15 references

Metadata

Authors
Melnyk, B. M., Fineout-Overholt, E., Gallagher-Ford, L., & Kaplan, L.
Venue
JONA: The Journal of Nursing Administration
Published
2012-09
Volume
42
Issue
9
Pages
410-417
ISSN
0002-0443 (ISSN-L)
OpenAlex
W2334045214
Cited by
499
References
15
FWCI
51.92
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The State of Evidence-Based Practice in US Nurses: Critical Implications for Nurse Leaders and Educators. https://app.cochat.ai/papers/10.1097/nna.0b013e3182664e0a
The paper
Melnyk, B. M., Fineout-Overholt, E., Gallagher-Ford, L., & Kaplan, L. (2012). The State of Evidence-Based Practice in US Nurses: Critical Implications for Nurse Leaders and Educators. JONA: The Journal of Nursing Administration. https://doi.org/10.1097/nna.0b013e3182664e0a

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.