Evidence map›Paper›PMID 40296854›Full record

ArticleNursing in critical care2025

Missed Intensive Nursing Care Scale: Results From an Italian Validation Study.

Ilaria de Barbieri, Martina Dato, Lisa Grego, Xiuni Gan, Elisa Daniele, Claudia Casumaro, Mayra Veronese, Matteo Danielis

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Nursing in critical 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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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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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Ilaria de BarbieriLaboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.ORCID https://orcid.org/0000-0002-7006-0733
Martina DatoLaboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Lisa GregoLaboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Xiuni GanNursing Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0001-9854-7247
Elisa DanieleChief Nurse Office, Department of the Health Care Professions, Azienda Ospedale Università Padova, Padua, Italy.
Claudia CasumaroCardiology Unit, Azienda Ospedale Università Padova, Padua, Italy.
Mayra VeroneseLaboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.ORCID https://orcid.org/0000-0001-5176-6231
Matteo DanielisLaboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.ORCID https://orcid.org/0000-0002-7417-3452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnfinished Nursing Care (UNC) refers to essential patient care that is postponed or neglected, significantly impacting outcomes such as increased morbidity, mortality and hospital-acquired infections. In Intensive Care Units (ICUs), the complexity of patient conditions results in higher UNC rates, particularly for basic care interventions. The Missed Intensive Nursing Care Scale (MINCS) assesses the frequency and types of missed care in these settings.

aimThis study aimed to translate, culturally adapt and validate MINCS for use in the Italian ICU context, ensuring its psychometric robustness. STUDY

designA methodological research for translation, cross-cultural adaptation and validation was conducted in two hospitals in north-eastern Italy, involving general, neurosurgical and cardiothoracic ICUs. The process included translation, back-translation, expert evaluation, pilot testing and psychometric analysis of MINCS-Italy (MINCS-IT) using Cronbach's alpha, Exploratory Factor Analysis (EFA) and Rasch analysis.

resultsA total of 135 ICU nurses participated in the study, 76.3% were female, and an average ICU experience of 11.1 years. The final version of MINCS-IT contained 48 items, divided into three sections: demographics, elements of missed nursing care (34 items, α = 0.92), and reasons for missed care (14 items, α = 0.94). EFA revealed a five-factor structure for elements of missed care (53.2% variance explained) and a two-factor structure for reasons (64.9% variance explained). Rasch analysis supported item validity, except for one item ("Assessing patient nutritional status"), which showed suboptimal values.

conclusionsThe MINCS-IT is a reliable tool for assessing missed nursing care in Italian ICUs, addressing both fundamental and complex patient needs. Its comprehensive approach supports targeted interventions to improve care quality. RELEVANCE TO CLINICAL PRACTISE: The MINCS-IT enables nurse managers to identify missed care patterns, fostering improvements in nursing practises and patient-family care outcomes, ultimately elevating ICU standards.

Indexed as

Critical Care NursingIntensive Care UnitsNursing Staff, HospitalAdultFemaleHumansItalyMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnairescross‐cultural validationintensive care unitsmeasurement scalemissed nursing careunfinished nursing care

Identifiers

PMID40296854
PMCPMC12038533

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