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High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities
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[Not Available].

Anna Maria Luigia Rossetti, Alessandra Lettieri, Laura Greco

    Assistenza Infermieristica E Ricerca : AIR
    |July 8, 2016
    PubMed
    Summary

    This review compares Italian patient complexity assessment systems, finding that autonomy/dependence is the most influential factor. Systems are shifting from assessing nursing activities to patient conditions for better care management.

    Area of Science:

    • Nursing
    • Healthcare Management
    • Patient Assessment

    Background:

    • Effective caseload management is crucial for timely and appropriate patient care.
    • Several systems exist in Italy to quantify patient complexity.
    • Understanding patient complexity is key to optimizing resource allocation and care delivery.

    Purpose of the Study:

    • To systematically review and compare patient complexity assessment systems used in Italy between 1994 and 2015.
    • To analyze the variables and dimensions used in these systems.
    • To identify trends in patient complexity assessment.

    Main Methods:

    • A comprehensive literature search was performed across multiple databases (PubMed, CINAHL, Medline, Cochrane Library) and Google.
    • Systems specifically for pediatric and intensive care were excluded.

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  • Complexity variables were categorized using the four dimensions of the Italian model of Complexity of Nursing care: autonomy/dependence, stability/instability, comprehension and choice, and context.
  • Main Results:

    • Eight distinct patient complexity assessment systems were identified, each employing unique variable sets.
    • The autonomy/dependence dimension was the most significant factor in complexity scoring for five systems (34%-74%).
    • Other dimensions like clinical stability/instability, comprehension and choice, and context showed varying degrees of influence across systems.

    Conclusions:

    • Patient complexity assessment systems are evolving from focusing on nursing tasks to evaluating patient conditions.
    • The informatization of these systems holds potential for supporting the optimal definition of care mixes.
    • Continued development and standardization of these tools can enhance healthcare efficiency and patient outcomes.