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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Missed Intensive Nursing Care Scale: Results From an Italian Validation Study.

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  • 1Laboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.

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Summary

The Missed Intensive Nursing Care Scale (MINCS) was translated and adapted for Italian ICUs. The validated MINCS-IT tool reliably assesses unfinished nursing care, aiding quality improvement initiatives.

Keywords:
cross‐cultural validationintensive care unitsmeasurement scalemissed nursing careunfinished nursing care

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Area of Science:

  • Nursing Science
  • Healthcare Quality Improvement
  • Psychometrics

Background:

  • Unfinished nursing care (UNC) in Intensive Care Units (ICUs) is linked to adverse patient outcomes.
  • The Missed Intensive Nursing Care Scale (MINCS) measures UNC frequency and types.
  • Assessing and addressing UNC is critical for patient safety and care quality.

Purpose of the Study:

  • To translate and culturally adapt the MINCS for the Italian ICU setting.
  • To validate the psychometric properties of the Italian version of the MINCS (MINCS-IT).
  • To provide a reliable instrument for measuring missed nursing care in Italian ICUs.

Main Methods:

  • Methodological research involving translation, back-translation, and expert review.
  • Pilot testing and psychometric validation using Cronbach's alpha, EFA, and Rasch analysis.
  • Study conducted across general, neurosurgical, and cardiothoracic ICUs in Italy with 135 nurses.

Main Results:

  • The final MINCS-IT has 48 items across demographics, missed care elements (34 items, α=0.92), and reasons for missed care (14 items, α=0.94).
  • Exploratory Factor Analysis identified a five-factor structure for missed care elements and a two-factor structure for reasons.
  • Rasch analysis confirmed item validity, with one item showing suboptimal values.

Conclusions:

  • The MINCS-IT is a psychometrically sound and reliable tool for assessing unfinished nursing care in Italian ICUs.
  • This validated instrument can identify patterns of missed care, supporting targeted interventions.
  • Implementation of MINCS-IT can enhance nursing practices and improve patient and family care outcomes in Italian ICUs.