Digital and artificial intelligence literacy in inflammatory rheumatic and degenerative joint diseases

IF 2.5 4区医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL

Advances in medical sciences Pub Date : 2026-03-01 Epub Date: 2026-03-20 DOI:10.1016/j.advms.2026.03.004

Gülseren Demir Karakılıç , Özlem Balbaloğlu , Şemsinnur Göçer

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引用次数: 0

Abstract

Purpose

The development of digital technologies and artificial intelligence (AI) in healthcare has highlighted the need for patients to improve digital competencies such as e-Health literacy (eHL) and AI literacy (AIL). However, these skills remain largely unexamined in populations with chronic rheumatic and degenerative joint diseases. In particular, comparative data examining both eHL and AIL across different rheumatic disease groups remain limited. This interdisciplinary study aimed to jointly assess eHL and AIL in individuals with inflammatory rheumatic diseases (IRD) and knee osteoarthritis (OA) compared with healthy controls, and to examine sociodemographic and psychological correlates of eHL.

Methods

A cross-sectional study was conducted with 201 participants divided equally into three groups: patients with IRD (rheumatoid arthritis, ankylosing spondylitis, and psoriatic arthritis), patients with knee OA, and healthy individuals. Standardized clinical, psychological, and digital literacy assessments including eHL Scale and AIL Scale were administered through structured face-to-face interviews. Trial registration is available at ClinicalTrials.gov, identifier: NCT07054749, registration date: December 25, 2024.

Results

Patients with IRD demonstrated significantly higher eHL and AIL levels than knee OA and healthy groups. Higher literacy was associated with better healthcare engagement and inversely related to anxiety and functional disability. Digital competency was associated with education level and patterns of healthcare engagement across disease groups.

Conclusions

These findings suggest potential relevance of integrating eHL and AIL considerations into clinical practice. Strengthening eHL and AIL competencies may be associated with greater patient autonomy and may support adaptation to AI-supported healthcare delivery.

查看原文本刊更多论文

炎性风湿病和退行性关节疾病中的数字和人工智能素养。

目的：医疗保健领域数字技术和人工智能（AI）的发展凸显了患者提高数字能力的必要性，如电子卫生素养（eHL）和人工智能素养（AIL）。然而，这些技能在慢性风湿病和退行性关节疾病人群中仍未得到检验。特别是，在不同风湿病组中检查eHL和AIL的比较数据仍然有限。本跨学科研究旨在联合评估炎症性风湿病（IRD）和膝关节骨关节炎（OA）患者与健康对照组相比的eHL和AIL，并研究eHL的社会人口统计学和心理学相关因素。方法：对201名参与者进行横断面研究，平均分为三组：IRD患者（类风湿关节炎、强直性脊柱炎和银屑病关节炎）、膝关节OA患者和健康个体。通过结构化的面对面访谈进行标准化的临床、心理和数字素养评估，包括eHL量表和AIL量表。试验注册可在ClinicalTrials.gov上进行，标识符：NCT07054749，注册日期：2024年12月25日。结果：IRD患者eHL和AIL水平明显高于膝关节OA组和健康组。较高的识字率与更好的医疗保健参与相关，与焦虑和功能残疾呈负相关。数字能力与疾病组的教育水平和医疗保健参与模式相关。结论：这些发现表明，将eHL和AIL考虑纳入临床实践具有潜在的相关性。加强eHL和AIL的能力可能与更大的患者自主权相关，并可能支持适应人工智能支持的医疗保健服务。

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

Advances in medical sciences 医学-医学：研究与实验

CiteScore

5.00

自引率

0.00%

发文量

审稿时长

25 days

期刊介绍： Advances in Medical Sciences is an international, peer-reviewed journal that welcomes original research articles and reviews on current advances in life sciences, preclinical and clinical medicine, and related disciplines. The Journal’s primary aim is to make every effort to contribute to progress in medical sciences. The strive is to bridge laboratory and clinical settings with cutting edge research findings and new developments. Advances in Medical Sciences publishes articles which bring novel insights into diagnostic and molecular imaging, offering essential prior knowledge for diagnosis and treatment indispensable in all areas of medical sciences. It also publishes articles on pathological sciences giving foundation knowledge on the overall study of human diseases. Through its publications Advances in Medical Sciences also stresses the importance of pharmaceutical sciences as a rapidly and ever expanding area of research on drug design, development, action and evaluation contributing significantly to a variety of scientific disciplines. The journal welcomes submissions from the following disciplines: General and internal medicine, Cancer research, Genetics, Endocrinology, Gastroenterology, Cardiology and Cardiovascular Medicine, Immunology and Allergy, Pathology and Forensic Medicine, Cell and molecular Biology, Haematology, Biochemistry, Clinical and Experimental Pathology.