Evidence mapPaperPMID 40955277Full record

ArticleSAGE open medicine2025

Predictors of limited knowledge in insulin injection techniques among non-specialty nurses in Japan.

Yuko Yoshida, Minoru Kikuchi, Norio Nakamura, Toshiko Tomisawa

Abstract read
In one paragraph

Article in SAGE open medicine, 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

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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

4 authors.

Yuko YoshidaDepartment of Nursing, Sapporo University of Health Sciences, Hokkaido, Japan.ORCID https://orcid.org/0000-0001-7494-888X
Minoru KikuchiDepartment of Radiological Sciences, Faculty of Health Sciences, Japan Healthcare University, Sapporo, Hokkaido, Japan.
Norio NakamuraDepartment of Nursing Sciences, Graduate School of Health Sciences, Hirosaki University, Aomori, Japan.
Toshiko TomisawaDepartment of Nursing Sciences, Graduate School of Health Sciences, Hirosaki University, Aomori, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Appropriate insulin injection techniques are crucial for ensuring therapeutic efficacy and patient safety; however, most routine injections are administered by nonspecialist nursing staff across various clinical settings. Assessing their current knowledge is essential to identify educational needs and prevent injection-related complications. Therefore, this study aimed to examine the knowledge gaps regarding insulin injection techniques among nondiabetes specialty nurses and identify the factors influencing their knowledge. Methods: This cross-sectional questionnaire-based study was conducted on a sample of 815 hospital nurses across Japan using stratified sampling between September and December 2022. The questionnaire included a knowledge quiz, and participants whose scores fell within the lower range were classified into the low-scoring group. Multivariable logistic regression analysis was used to determine the factors associated with the group. Results: The lowest correct response rate in the low-scoring group was for the question regarding the name of subcutaneous nodules at the injection site (16.48%). Multivariable logistic regression analysis showed that limited knowledge was significantly associated with the time since self-study of insulin injection techniques (95% confidence interval: 1.039-1.295; Conclusions: Nurses' knowledge of insulin injection techniques largely depends on individual initiative. Improving knowledge levels, offering organizational learning opportunities, and requiring continued education are necessary to ensure consistent knowledge improvement across the workforce.

Indexed as

continuing educationdiabetesinsulin injection techniqueknowledgenurses

Identifiers

PMID40955277
PMCPMC12433556

What Socratic holds

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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 Socratic graph.