Evidence map›Paper›PMID 40184506›Full record

ArticleAdvances in skin & wound care2025

Effects of a Situated Simulation Teaching Strategy on Knowledge of Negative-Pressure Wound Therapy among Surgical Nurses in Taiwan.

Yi-Ling Tseng, Hua-Shan Wu, Pei-Yu Huang, Pei-Shan Hsaio, Hui-Chen Tseng

Abstract read
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Article in Advances in skin & wound care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Yi-Ling TsengYi-Ling Tseng, MS, RN, is Lecturer, Bachelor of Science in Senior Wellness and Sports Science, College of Agriculture and Health, Tunghai University, Taichung County, Taiwan. Hua-Shan Wu, PhD, RN, is Distinguished Professor, Chair, and Dean, Department of Nursing and Graduate Institute of Nursing, College of Nursing, Asia University, Taichung County. Pei-Yu Huang, BSN, RN, is Case Manager, Dementia Centre, Jen Ai Hospital, Taichung City, Taiwan. Pei-Shan Hsaio, BSN, RN, is Preceptor, Asia University Hospital, Taichung City. Hui-Chen Tseng, PhD, RN, is Associate Professor, College of Nursing, Kaohsiung Medical University, Kaohsiung City, Taiwan, and Adjunct Research Fellow, Department of Medical Research, Kaohsiung Medical University Hospital, Taiwan.ORCID 0000-0002-2926-7177
Hua-Shan Wu
Pei-Yu Huang
Pei-Shan Hsaio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the effect of a situated simulation teaching strategy for negative-pressure wound therapy (NPWT) on surgical nurses' knowledge of care for patients who receive NPWT.

methodsThis quasi-experimental study used a one-group pretest/posttest design. Thirty-one female surgical nurses from a central Taiwan district hospital participated. They received situational simulation training and completed self-administered preintervention and postintervention scale assessing their knowledge of NPWT-related care and a demographic questionnaire.

resultsParticipants' mean score on the knowledge of NPWT-related care scale was 19.90 preintervention and increased to 27.84 postintervention, a significant improvement ( z = -4.45, P < .001). All aspects of NPWT knowledge, including indications and effects ( z = -3.84, P < .001), device operation ( z = -3.71, P < .001), assessment ( z = -3.89, P < .001), and anomaly response ( z = -3.93, P < .001), significantly improved following the intervention.

conclusionsThe study indicates that simulation and cues and a debriefing session in situational simulation teaching significantly enhance surgical nurses' knowledge of NPWT-related care and facilitates the acquisition of problem-solving methods, suggesting its potential application in NPWT-related continuing education courses for surgical nurses.

Indexed as

Clinical CompetenceHealth Knowledge, Attitudes, PracticeNegative-Pressure Wound TherapySimulation TrainingAdultEducation, Nursing, ContinuingFemaleHumansMiddle AgedSurveys and QuestionnairesTaiwaneducationeducational trainingknowledgenegative-pressure wound therapysituated simulation teachingsurgical nursewound care

Identifiers

PMID40184506
PMCPMC12244965

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.