A Scale Development Study: Ethical Sensitivity Towards Artificial Intelligence and Robot Nurses

IF 2.1 4区医学 Q3 HEALTH CARE SCIENCES & SERVICES

Journal of evaluation in clinical practice Pub Date : 2025-07-06 DOI:10.1111/jep.70151

Eda Ergin, Gamze Goke Arslan, Sebnem Cinar Yücel

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引用次数: 0

Abstract

Background

Socially assistive robots use social interactions to monitor, coach, provide companionship, and support health-promoting activities. However, the widespread use of artificial intelligence and robot nurse applications in many areas leads to ethical dilemmas and concerns.

Methods

A methodological study was conducted in two phases: (1) development of the scale through a literature review and interviews related to Ethical Sensitivity towards Artificial Intelligence and Robot Nurses; (2) confirming construct validity, criterion-related validity and reliability of the developed scale. The data were collected from 356 nursing students studying at the Nursing Department of a university in Turkey between November 2022 and December 2022.

Results

The scale consists of 17 items and four sub-dimensions, which accounts for 55.84% of the total variance. The Cronbach's alpha value of the scale was 0.83, which was considered as significant. The Kaiser-Meyer-Olkin value of the Ethical Sensitivity Scale for Artificial Intelligence and Robot Nurses was 0.76, and its Bartlett's Test of Sphericity results were as follows: χ² = 1174.25, p = 0.000. According to the results of the Confirmatory Factor Analysis, fit indices were determined as follows: χ²/SD = 1.979, Root Mean Square Error of Approximation = 0.074, Comparative Fit Index = 0.894, Incremental Fit Index = 0.897 and Goodness of Fit Index = 0.880.

Conclusion

The Ethical Sensitivity Scale for Artificial Intelligence and Robot Nurses was determined as a valid and reliable measurement tool. It is recommended that the Ethical Sensitivity Scale for Artificial Intelligence and Robot Nurses should be used in different sample groups, different cultures and societies.

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人工智能与机器人护士的伦理敏感性量表开发研究

社交辅助机器人利用社交互动来监测、指导、提供陪伴和支持促进健康的活动。然而，人工智能和机器人护士在许多领域的广泛应用引发了伦理困境和担忧。方法方法学研究分两个阶段进行：(1)通过文献综述和访谈，编制人工智能和机器人护士伦理敏感性量表；(2)对编制的量表进行结构效度、效标相关效度和信度的验证。这些数据是在2022年11月至2022年12月期间从土耳其一所大学护理系学习的356名护理专业学生中收集的。结果量表由17个条目和4个子维度组成，占总方差的55.84%。量表的Cronbach’s alpha值为0.83，认为具有显著性。人工智能与机器人护士伦理敏感性量表的Kaiser-Meyer-Olkin值为0.76，其Bartlett球性检验结果为：χ2 = 1174.25, p = 0.000。根据验证性因子分析结果确定拟合指标：χ2/SD = 1.979，近似均方根误差= 0.074，比较拟合指数= 0.894，增量拟合指数= 0.897，拟合优度指数= 0.880。结论人工智能与机器人护士伦理敏感性量表是一种有效、可靠的测量工具。建议《人工智能与机器人护士伦理敏感性量表》适用于不同样本群体、不同文化和社会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of evaluation in clinical practice 医学-卫生保健

CiteScore

4.80

自引率

4.20%

发文量

143

审稿时长

3-8 weeks

期刊介绍： The Journal of Evaluation in Clinical Practice aims to promote the evaluation and development of clinical practice across medicine, nursing and the allied health professions. All aspects of health services research and public health policy analysis and debate are of interest to the Journal whether studied from a population-based or individual patient-centred perspective. Of particular interest to the Journal are submissions on all aspects of clinical effectiveness and efficiency including evidence-based medicine, clinical practice guidelines, clinical decision making, clinical services organisation, implementation and delivery, health economic evaluation, health process and outcome measurement and new or improved methods (conceptual and statistical) for systematic inquiry into clinical practice. Papers may take a classical quantitative or qualitative approach to investigation (or may utilise both techniques) or may take the form of learned essays, structured/systematic reviews and critiques.