Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha 410013.
School of Mathematics & Statistics, Guizhou University of Finance and Economics, Guiyang 550025.
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2023 Dec 28;48(12):1844-1853. doi: 10.11817/j.issn.1672-7347.2023.230225.
Digestive endoscopy is an important diagnostic and therapeutic tool for digestive system diseases. The artificial intelligence (AI)-assisted system in endoscopy (hereinafter referred to as AI in digestive endoscopy) has broad application prospects in the field of digestive endoscopy. The trust and acceptance of endoscopic subjects are the cornerstone of the research, application, and promotion of AI in digestive endoscopy. Currently, the tools for measuring the acceptance of AI in digestive endoscopy by subjects are limited at home and abroad. This study aims to develop a scale for measuring the acceptance of AI in digestive endoscopy by subjects, then to evaluate its reliability and validity.
By conducting literature research, an item pool and dimensions were constructed, and a preliminary scale was constructed using Delphi method. Through the first stage of the survey on the subjects, the reliability and validity of the scale were tested, and the revised scale was used for the second stage of survey on the subjects to further verify the structural validity of the scale.
The acceptance scale for AI in digestive endoscopy included 11 items in 3 dimensions: accuracy, ethics, benefit and willingness. In the first stage of the survey, 351 valid questionnaires were collected, and the Cronbach's α was 0.864. The correlation coefficient between the total score of the scale and the score of the test item was 0.636, and the Kaiser-Meyer-Olkin (KMO) value in exploratory factor analysis was 0.788. In the second stage of the survey, 335 valid questionnaires were collected, and in confirmatory factor analysis, the /df was 3.774, while the root mean squared error of approximation (RMSEA) was 0.091.
Acceptance scale for AI in digestive endoscopy by subjects developed in this study has good reliability and validity.
消化内镜是消化系统疾病重要的诊断和治疗工具。内镜人工智能（AI）辅助系统（以下简称消化内镜 AI）在消化内镜领域具有广阔的应用前景。内镜受检者对 AI 的信任和接受是消化内镜 AI 研究、应用和推广的基石。目前国内外用于测量受检者对消化内镜 AI 接受度的工具较为有限。本研究旨在研发一种受检者对消化内镜 AI 接受度的测量量表，并对其信度和效度进行评价。
通过文献研究构建条目池和维度，采用 Delphi 法构建初始量表。通过受检者的第一阶段调查，对量表的信度和效度进行检验，采用修订后的量表对受检者进行第二阶段调查，进一步验证量表的结构效度。
消化内镜 AI 接受度量表包括 3 个维度 11 个条目：准确性、伦理、获益和意愿。第一阶段调查共收集 351 份有效问卷，量表的 Cronbach's α 系数为 0.864。量表总分与各条目得分的相关系数为 0.636，探索性因子分析中的 Kaiser-Meyer-Olkin（KMO）值为 0.788。第二阶段调查共收集 335 份有效问卷，在验证性因子分析中，/df 为 3.774，而近似误差均方根（RMSEA）为 0.091。
本研究研制的受检者对消化内镜 AI 接受度量表具有良好的信度和效度。
