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    A new tool effectively assesses the competencies of new registered nurse (RN) graduates in transition-to-practice programs. Initial testing shows good reliability and validity for evaluating essential nursing knowledge, skills, and attitudes (KSAs).

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    Area of Science:

    • Nursing Education
    • Healthcare Quality Improvement
    • Professional Development in Nursing

    Background:

    • Transition-to-practice programs are crucial for new registered nurse (RN) graduates.
    • The Quality and Safety Education for Nurses (QSEN) competencies provide a framework for essential nursing knowledge, skills, and attitudes (KSAs).
    • Consistent and reliable evaluation of these KSAs is needed for program effectiveness.

    Purpose of the Study:

    • To describe the initial reliability and validity testing of a new 35-item tool designed to assess QSEN competencies in new RN graduates.
    • To evaluate the tool's effectiveness in measuring the KSAs of participants in transition-to-practice programs.

    Main Methods:

    • Development of a 35-item tool with a 4-point scale to assess selected behaviors related to QSEN KSAs.
    • Initial reliability testing using Cronbach's alpha for both preceptor and self-evaluation.
    • Face validity assessment by six content experts, including discrimination between student and faculty levels.

    Main Results:

    • The tool demonstrated good internal consistency, with Cronbach's alpha values of 0.92 for preceptor evaluation and 0.82 for self-evaluation.
    • Content experts confirmed face validity, and the tool differentiated between junior nursing students and faculty.
    • The tool provides a practical method for assessing competencies among newly graduated nurses.

    Conclusions:

    • The developed tool shows promising initial reliability and validity for assessing QSEN competencies in new RN graduates.
    • This tool can support consistent evaluation within transition-to-practice programs.
    • Further refinement may be needed to comprehensively cover all QSEN KSAs.