Evidence map›Paper›PMID 41991483›Full record

ArticleInternational wound journal2026

Development and Psychometric Evaluation of a Medical Device-Related Pressure Injury Risk Assessment Scale.

Ayişe Karadağ, Aleyna Uçanbelen, Öznur Erbay Dalli

Abstract read
In one paragraph

Article in International wound journal, 2026. 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

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

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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

3 authors.

Ayişe KaradağSchool of Nursing, Koç University, Istanbul, Türkiye.ORCID https://orcid.org/0000-0001-6436-1647
Aleyna UçanbelenGraduate School of Health Sciences, Koç University, Istanbul, Türkiye.ORCID https://orcid.org/0009-0000-9373-6241
Öznur Erbay DalliDepartment of Internal Medicine Nursing, Bursa Uludag University Faculty of Health Sciences, Bursa, Türkiye.ORCID https://orcid.org/0000-0003-2282-0846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical device-related pressure injuries are a significant and largely preventable patient safety problem, yet existing pressure injury risk scales do not adequately capture device-specific risk factors in adults. This methodological study developed and psychometrically evaluated a standardized risk assessment scale to identify medical device-related pressure injury risk in hospitalized adult patients. An initial item pool was generated from an extensive literature review and clinical expertise, and content validity was assessed by seven experts using the Davis technique (content validity index = 0.96). The scale was administered to 160 adults receiving at least one medical device in medical, surgical and oncology wards and intensive care units of a university hospital. Construct validity was evaluated using binary logistic regression, exploratory factor analysis, and receiver operating characteristic curve analysis, demonstrating strong discrimination (area under the curve = 0.844, 95% confidence interval 0.728-0.961) with an optimal cut-off score of 14.5 (sensitivity 70.6%, specificity 88.8%). Exploratory factor analysis of the final version of the MedRAS (Kaiser-Meyer-Olkin = 0.792) revealed a two-factor structure (Device and Mechanical Factors; Patient and Tissue Factors) explaining 50.92% of the total variance, with all factor loadings above 0.30. The scale showed good internal consistency (Cronbach's alpha = 0.80) and very good inter-rater reliability (Cohen's kappa = 0.806, p < 0.001). This device-focused scale may support early risk identification and targeted preventive nursing interventions, with potential to improve patient safety and quality of care in inpatient/critical care settings.

Indexed as

Equipment and SuppliesPressure UlcerPsychometricsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedReproducibility of ResultsRisk AssessmentRisk Factorsmedical devicespressure ulcerpsychometricsrisk assessmentscale developmentsensitivity and specificity

Identifiers

PMID41991483
PMCPMC13086556

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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.