Development and Validation of the Digital Sensitivity Scale for Adults: Cross-Sectional Observational Study.

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: χ=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: χ=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.