{ "abstract": "Background: Medical Device-Related Pressure Injuries (MDRPI) are a serious complication in intensive care units (ICUs), yet structured prevention algorithms are lacking. Methods: This single-group, pre-test/post-test quasi-experimental study was conducted in the General Intensive Care Unit from February 2025 to April 2025. The sample comprised 38 nurses and 77 patients (39 pre-intervention, 38 post-intervention). Nurses’ knowledge was assessed using the MDRPUKQ questionnaire, and patient outcomes were monitored using baseline and post-intervention data on pressure injury prevalence and severity. Data were analyzed using SPSS version 26, employing descriptive and inferential statistics including paired t-tests, independent t-tests, chi-square tests, Fisher’s exact tests, and multivariable logistic regression. Results: The mean knowledge score increased significantly from 57.74 (SD = 11.15) before training to 89.55 (SD = 5.17) afterward (mean difference: 31.81, 95% CI: 28.35–35.27, P < 0.001, Cohen’s d = 3.02). Overall, MDRPI prevalence decreased from 38.5% (95% CI: 24.9–54.1%) pre-intervention to 28.9% (95% CI: 17−44%). However, this difference was not statistically significant using Pearson’s chi-square test (χ2 = 0.82, P = 0.365). The distribution of pressure injury stages before implementation was: Stage 1 (28.2%), Stage 2 (7.7%), and Stage 3 (2.6%). Following the intervention, prevalence dropped to Stage 1 (21.1%) and Stage 2 (5.3%), with no new Stage 3 injuries reported. After adjusting for potential confounders (age, Braden score, ICU length of stay, and device exposure duration), implementation of the algorithm was associated with reduced MDRPI occurrence (adjusted OR = 0.42, 95% CI: 0.19–0.91, P = 0.026). Conclusion: Implementation of the MDRPI prevention algorithm was associated with significant improvement in nurses’ knowledge. A numerically lower prevalence was observed. This suggests that injuries caused by medical equipment are largely absent from current mandatory continuing education or postgraduate nursing curricula, reinforcing the need for a thorough review and the integration of this topic into standard educational programs.", "abstract_shown": true, "affiliations": [ "Student Research Committee, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran", "Department of Medical Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran", "Department of Pediatric Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran", "Faculty of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran" ], "article_type": "Research Article", "arxiv": null, "author_total": 4, "authors": [ { "affs": [ 0 ], "name": "Yarkaram Zamani Shiva" }, { "affs": [ 1 ], "name": "Fateme Hasandoost", "orcid": "0000-0001-9483-0969" }, { "affs": [ 2 ], "name": "Malihe Nasiri" }, { "affs": [ 3 ], "name": "Tayebeh Mahvar" } ], "bibtex": "https://research.draconitic.com/paper/aaktkz11hvx8z.bib", "cited_by": 0, "doi": "10.1371/journal.pone.0359842", "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13712620/", "id": "aaktkz11hvx8z", "issns": [ "1932-6203" ], "landing_url": "https://doi.org/10.1371/journal.pone.0359842", "language": "en", "licence": "CC-BY-4.0", "licence_label": "CC BY 4.0", "licence_source": "article", "licence_url": "https://creativecommons.org/licenses/by/4.0/", "metadata_licence": null, "native_subjects": [ [ "heading", "Algorithms" ], [ "heading", "Applied Mathematics" ], [ "heading", "Bioengineering" ], [ "heading", "Biology and Life Sciences" ], [ "heading", "Biotechnology" ], [ "heading", "Chemical Elements" ], [ "heading", "Chemistry" ], [ "heading", "Chi Square Tests" ], [ "heading", "Engineering and Technology" ], [ "heading", "Epidemiology" ], [ "heading", "Health Care" ], [ "heading", "Health Care Facilities" ], [ "heading", "Health Care Providers" ], [ "heading", "Hospitals" ], [ "heading", "Intensive Care Units" ], [ "heading", "Mathematical and Statistical Techniques" ], [ "heading", "Mathematics" ], [ "heading", "Medical Devices and Equipment" ], [ "heading", "Medical Personnel" ], [ "heading", "Medical Risk Factors" ], [ "heading", "Medicine and Health Sciences" ], [ "heading", "Nurses" ], [ "heading", "Oxygen" ], [ "heading", "Patients" ], [ "heading", "People and Places" ], [ "heading", "Physical Sciences" ], [ "heading", "Population Groupings" ], [ "heading", "Professions" ], [ "heading", "Research Article" ], [ "heading", "Research and Analysis Methods" ], [ "heading", "Simulation and Modeling" ], [ "heading", "Statistical Hypothesis Testing" ], [ "heading", "Statistical Methods" ], [ "heading", "Statistics" ], [ "openalex", "3609|Pressure Ulcer Prevention and Management" ], [ "plos", "/Biology and life sciences/Bioengineering/Biotechnology/Medical devices and equipment" ], [ "plos", "/Engineering and technology/Bioengineering/Biotechnology/Medical devices and equipment" ], [ "plos", "/Medicine and health sciences/Epidemiology/Medical risk factors" ], [ "plos", "/Medicine and health sciences/Health care/Health care facilities/Hospitals/Intensive care units" ], [ "plos", "/Medicine and health sciences/Health care/Health care providers/Nurses" ], [ "plos", "/Medicine and health sciences/Health care/Patients" ], [ "plos", "/Medicine and health sciences/Medical devices and equipment" ], [ "plos", "/People and places/Population groupings/Professions/Medical personnel/Nurses" ], [ "plos", "/Physical sciences/Chemistry/Chemical elements/Oxygen" ], [ "plos", "/Physical sciences/Mathematics/Applied mathematics/Algorithms" ], [ "plos", "/Physical sciences/Mathematics/Statistics/Statistical methods/Statistical hypothesis testing/Chi square tests" ], [ "plos", "/Research and analysis methods/Mathematical and statistical techniques/Statistical methods/Statistical hypothesis testing/Chi square tests" ], [ "plos", "/Research and analysis methods/Simulation and modeling/Algorithms" ] ], "openalex": "W7223969001", "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0359842&type=printable", "pmcid": "PMC13712620", "pmid": "42945236", "published": "2026-10-27", "publisher": "Public Library of Science", "ris": "https://research.draconitic.com/paper/aaktkz11hvx8z.ris", "sources": [ { "first_seen": "2026-10-30T12:17:17Z", "native_id": "10.1371/journal.pone.0359842", "source": "plos", "url": "https://doi.org/10.1371/journal.pone.0359842" }, { "first_seen": "2026-10-31T12:23:09Z", "native_id": "PMC13712620", "source": "pmc", "url": "https://doi.org/10.1371/journal.pone.0359842" } ], "subjects": [ { "field": "biology", "origin": "plos:biotechnology", "subfield": "systems-synthetic" }, { "field": "chemistry", "origin": "heading:Chemistry", "subfield": "general" }, { "field": "mathematics", "origin": "plos:statistical methods", "subfield": "statistics" }, { "field": "medicine", "origin": "plos:epidemiology", "subfield": "epidemiology-public-health" } ], "title": "Association of a structured prevention algorithm with nurse knowledge and device-related pressure injury severity in critical care: A pre‑post study", "title_text": "Association of a structured prevention algorithm with nurse knowledge and device-related pressure injury severity in critical care: A pre‑post study", "type": "peer-reviewed", "updated_at": "2026-10-31T12:23:09Z", "url": "https://research.draconitic.com/paper/aaktkz11hvx8z", "venue": "PLOS One", "versions": [] }