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Digital eye strain among library users: Prevalence and ROC-derived cut-off point for the DESRIL-27.

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Digital eye strain (DES) affects over 60% of university library users. The validated Digital Eye Strain and Risk Level Questionnaire (DESRIL-27) with a cut-off of 14.5 effectively screens for DES.

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Area of Science:

  • Ophthalmology
  • Public Health
  • Educational Technology

Background:

  • Digital eye strain (DES) is a growing concern for students due to extensive screen time.
  • Validated screening tools are crucial for assessing DES prevalence and informing prevention strategies.

Purpose of the Study:

  • To establish a receiver operating characteristic (ROC)-based cut-off for the Digital Eye Strain and Risk Level Questionnaire (DESRIL-27).
  • To validate DESRIL-27 against the Computer Vision Syndrome Questionnaire (CVS-Q) as a reference standard.
  • To estimate the prevalence of DES among university library users.

Main Methods:

  • A cross-sectional study involving 277 university library users.
  • Participants completed the DESRIL-27 and CVS-Q questionnaires.
  • Reliability analysis (Cronbach's alpha) and ROC analysis were performed to determine the optimal cut-off and diagnostic performance.

Main Results:

  • The DESRIL-27 showed excellent internal consistency (α=0.964 for symptoms, α=0.921 for risk factors).
  • ROC analysis indicated high diagnostic accuracy (Area Under Curve = 0.982).
  • An optimal cut-off of ≥14.5 demonstrated high sensitivity (90.9%) and specificity (96.7%), with a DES prevalence of 62.1%.

Conclusions:

  • The DESRIL-27 is a reliable and accurate screening tool for digital eye strain.
  • An empirically derived cut-off of ≥14.5 is recommended for screening DES in university settings.
  • Findings support the use of DESRIL-27 for identifying students at risk of digital eye strain.