MARC

LEADER 00000nab a2200000uu 4500
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022 |a 1438-8871 
024 7 |a 10.2196/55828  |2 doi 
035 |a 3222368307 
045 2 |b d20250101  |b d20251231 
100 1 |a Hae In Park 
245 1 |a Development and Validation of the Digital Sensitivity Scale for Adults: Cross-Sectional Observational Study 
260 |b Gunther Eysenbach MD MPH, Associate Professor  |c 2025 
513 |a Journal Article 
520 3 |a Background:The COVID-19 pandemic has accelerated the digitalization of modern society, extending digital transformation to daily life and psychological evaluation and treatment. However, the development of competencies and literacy in handling digital technology has not kept pace, resulting in a significant disparity among individuals. Existing measurements of digital literacy were developed before widespread information and communications technology device adoption, mainly focusing on one’s perceptions of their proficiency and the utility of device operation. In the contemporary landscape, digital transformation is evolving within specialized domains, necessitating a comprehensive evaluation of digital competencies, attitudes, and proficiency in technology application to bridge the digital divide and ensure digital compliance.Objective:This study was designed to address the shortcomings of existing scales and formulate a digital sensitivity scale tailored to the requirements of today’s society.Methods:Initial items of the Yongin Severance Digital Sensitivity Scale (YI-DSS) were collected through a literature review, and expert opinions were gathered to ensure content validity. An exploratory and confirmatory factor analysis included 986 adult participants evaluating 14 digital literacy items and 6 digital efficacy items. The Cronbach α confirmed internal consistency reliability, and 2-tailed t tests, ANOVAs, and post hoc tests analyzed demographic differences in digital literacy and efficacy.Results:A robust 4-factor digital literacy solution was identified: digital application, digital communication, critical thinking, and digital ethics (Kaiser-Meyer-Olkin=0.891; Bartlett × 2=9829.713; P<.001; Cronbach α=0.782-0.947). A 2-factor solution defined digital efficacy: digital confidence and digital anxiety (Kaiser-Meyer-Olkin=0.735; Bartlett × 2=3282.217; P<.001; Cronbach α=0.787-0.912). Confirmatory factor analysis was conducted for each model (digital literacy model: χ271=676.0, comparative fit index=0.938, Tucker-Lewis index=0.921, standardized root mean square residual=0.73, and root mean square error of approximation=0.093; digital efficacy model: χ28=81.9, comparative fit index=0.977, Tucker-Lewis index=0.958, standardized root mean square residual=0.73, and root mean square error of approximation=0.097), which indicated a good fit. The YI-DSS also showed high correlation with the previously developed Digital Literacy Scale (r=0.809; P<.001).Conclusions:The YI-DSS, as a self-assessment tool, has the potential to bridge the generational information gap by promoting acceptance, motivation, and adaptation to digital technology. Furthermore, given the remote nature of digital therapeutics, an individual’s familiarity with required technologies and digital communication strongly influences their acceptance of digital treatments and the efficacy thereof. This scale can play a pivotal role in enhancing compliance with digital therapeutics by preemptively assessing individuals’ technological literacy and competency. 
653 |a Problem solving 
653 |a Information ethics 
653 |a Software 
653 |a Students 
653 |a Digital literacy 
653 |a Collaboration 
653 |a Information literacy 
653 |a Communication 
653 |a Communications technology 
653 |a Digital citizenship 
653 |a Efficacy 
653 |a Modern society 
653 |a Familiarity 
653 |a Competence 
653 |a Distance learning 
653 |a Professional ethics 
653 |a Ethics 
653 |a Skills 
653 |a Transformation 
653 |a Digital transformation 
653 |a Motivation 
653 |a Knowledge 
653 |a COVID-19 
653 |a Computer literacy 
653 |a Activities of daily living 
653 |a Confirmatory factor analysis 
653 |a Compliance 
653 |a Online instruction 
653 |a Pandemics 
653 |a Internet access 
653 |a Information technology 
653 |a Reliability 
653 |a Self-efficacy 
653 |a Critical thinking 
653 |a Literature reviews 
653 |a Education 
653 |a Self evaluation 
653 |a Digital technology 
653 |a Acceptance 
653 |a Measures 
653 |a Everyday life 
653 |a Models 
653 |a Test validity and reliability 
653 |a Adoption of innovations 
653 |a Statistical analysis 
653 |a Anxiety 
653 |a Indexes 
653 |a Technology attitudes 
653 |a Telecommunications 
653 |a Factor analysis 
653 |a Attitudes 
653 |a Treatment methods 
653 |a Severance pay 
653 |a Adults 
653 |a Observational studies 
700 1 |a Jeon, Minjeong 
700 1 |a Ahn, Ji Seon 
700 1 |a Chung, Kyungmi 
700 1 |a Jin Young Park 
773 0 |t Journal of Medical Internet Research  |g vol. 27 (2025), p. e55828 
786 0 |d ProQuest  |t Library Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3222368307/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3222368307/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3222368307/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch