Evidence map›Paper›PMID 41441372›Full record

ArticleNursing reports (Pavia, Italy)2025

An Action Plan to Facilitate the Transfer of Pain Management Competencies Among Nurses.

Litaba Efraim Kolobe, Lizeth Roets

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Litaba Efraim KolobeDepartment of Health Studies, University of South Africa, P.O. Box 392, Pretoria 0003, South Africa.ORCID 0000-0001-6610-7458
Lizeth RoetsDepartment of Health Studies, University of South Africa, P.O. Box 392, Pretoria 0003, South Africa.ORCID 0000-0001-9537-212X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to persistent gaps in pain management competencies among nurses in Saudi Arabian teaching hospitals and similar healthcare settings globally, this manuscript presents a developed and validated action plan designed to support the effective transfer of pain management competencies into clinical practice. The action plan was developed to address the critical need for structured, practical strategies that enhance nurses' ability to apply pain management knowledge in diverse interdisciplinary environments. The action plan was validated through a rigorous three-round e-Delphi technique involving 12 expert panel members, achieving a 75% consensus on its content and structure. The final validated plan includes clear action statements, implementation methods, designated responsibilities, and defined timeframes. The core action statements focus on the following: (i) motivating nurses to pursue further study; (ii) equipping nursing teams with appropriate pain management tools; (iii) developing content-specific, practice-oriented short training programs; (iv) tailoring training to accommodate different learning styles; (v) using diverse teaching methods; (vi) creating strategies to encourage participation in training; and (vii) promoting the application of acquired knowledge in clinical settings. Adoption and implementation of this action plan by nursing leadership are anticipated to significantly enhance the transfer of pain management competencies, ultimately improving patient outcomes. The plan is adaptable for use in similar healthcare settings worldwide, offering a replicable model for strengthening nursing practice through targeted competency development.

Indexed as

action plancompetenciespain managementtransfer

Identifiers

PMID41441372
PMCPMC12736126

What OpenQuestion holds

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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.