Evidence map›Paper›PMID 40214292›Full record

ArticleJournal of patient safety2025

Development and Evaluation of a Multifaceted Intervention Program for Preventing Medication Administration Errors by Nurses.

Won Hee Sim

Abstract read
In one paragraph

Article in Journal of patient safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

1 author.

Won Hee SimDepartment of Nursing, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID 0000-0001-7366-5351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to develop and evaluate a multifaceted intervention program based on the Systems Engineering Initiatives for Patient Safety (SEIPS) model to prevent medication administration errors (MAEs) by nurses in an adult general ward of a comprehensive hospital in Seoul, South Korea.

methodsThe program was developed using the Analysis, Design, Development, Implementation, Evaluation (ADDIE) model with a 3-round Delphi survey conducted with 16 experts. Strategies were categorized under the SEIPS model and finalized into a program with 9 domains and 21 interventions. A pretest-posttest design with 73 nurses (36 experimental, 37 control) evaluated the program's effectiveness in a tertiary care hospital in Seoul, South Korea. Surveys on patient safety culture, medication safety practices, and error rates were analyzed before and after a 3-month intervention using double-difference and time-series methods.

resultsThe DID analysis demonstrated significant improvements in patient safety culture perception (0.42, P <0.001) and medication safety compliance (0.53, P <0.001), with large effect sizes ( d =1.07 and d =1.41, respectively). However, changes in self-reported medication error rates between groups were not statistically significant ( P =0.555), likely due to the short intervention period.

conclusionThe program improved patient safety awareness and medication safety compliance, validating its approach. This study highlights the importance of theoretically based interventions and suggests shifting from solely nurse education to addressing systemic issues for medication safety.

Indexed as

Medication ErrorsNursing Staff, HospitalPatient SafetySafety ManagementAdultDelphi TechniqueFemaleHumansMaleOrganizational CultureProgram DevelopmentProgram EvaluationRepublic of KoreaTertiary Care Centersmedication errorsnursespatient safetyprogram developmentsafety management

Identifiers

PMID40214292
PMCPMC12105961

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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.