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  3. Psychometrics Of The Attitude Scale Towards The Use Of Artificial Intelligence Technologies In Nursing.
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  3. Psychometrics Of The Attitude Scale Towards The Use Of Artificial Intelligence Technologies In Nursing.

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Psychometrics of the Attitude Scale towards the use of Artificial Intelligence Technologies in Nursing.

Dilek Yılmaz1, Derya Uzelli2, Yurdanur Dikmen3

  • 1Faculty of Health Sciences, Department of Nursing, Bursa Uludağ University, Nilüfer, Bursa, 16059, Turkey. dilekk@uludag.edu.tr.

BMC Nursing
|February 10, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study developed and validated the Attitude Scale Towards the Use of Artificial Intelligence Technologies in Nursing (ASUAITIN) for Turkish nurses. The ASUAITIN scale is a reliable tool for assessing nurses' attitudes toward AI in clinical practice.

Keywords:
Artificial intelligenceArtificial intelligence technologiesNursingScale

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Area of Science:

  • Nursing
  • Artificial Intelligence
  • Health Informatics

Background:

  • Nursing practice is increasingly influenced by artificial intelligence (AI).
  • A need exists for validated instruments to measure nurses' attitudes toward AI in clinical settings.
  • No comprehensive, validated scale was available to assess nurses' attitudes towards AI in nursing care.

Purpose of the Study:

  • To develop and validate the Attitude Scale Towards the Use of Artificial Intelligence Technologies in Nursing (ASUAITIN) in the Turkish language.
  • To create a reliable measurement tool for evaluating nurses' attitudes regarding AI in nursing.

Main Methods:

  • A methodological, cross-sectional study adhering to STROBE guidelines.
  • Literature review for scale item generation.
  • Content validity assessment and construct validity testing.
  • Internal consistency reliability analysis using Cronbach's alpha.
  • Study sample: 200 nurses from internal medicine, surgical, and intensive care units at a Turkish university hospital.

    • Main Results:

    • The ASUAITIN scale comprises 15 items across two dimensions: positive and negative attitudes towards AI in nursing.
    • The scale explains 67.762% of the total variance.
    • Item factor loadings ranged from 0.529 to 0.866.
    • High internal consistency was demonstrated with Cronbach's alpha values of 0.910 (total scale), 0.933 (Factor 1), and 0.917 (Factor 2).

    Conclusions:

    • The ASUAITIN scale is a validated and reliable instrument for measuring nurses' attitudes towards AI.
    • This scale can be effectively utilized to assess attitudes of nurses in clinical practice regarding AI technology.