Purchase this article with an account.
Francisco Amparo, Reza Dana; Remote Assessment of Dry Eye Symptoms using two Web-Based Questionnaires. Invest. Ophthalmol. Vis. Sci. 201657(12):.
Download citation file:
© 2017 Association for Research in Vision and Ophthalmology.
To investigate the feasibility for recurrent assessment of dry eye symptoms using two distinct web-accessed questionnaires, and to evaluate the correspondence between their scores
Patients with dry eye disease (DED) were invited to participate in a prospective, recurring, internet-based assessment of DED symptoms. After enrollment, participants were instructed to access and respond to the electronic versions of the Ocular Surface Disease Index (OSDI), a 12-item symptom questionnaire, and the Symptom Assessment in Dry Eye (SANDE), a 2-item visual analog scale. The scores obtained from both questionnaires were normalized using the norm of a vector (norm of one) and the clinical agreement between their scores was evaluated with the Bland-Altman analysis
A total of 500 electronic DED symptom evaluations were applied (250 of each questionnaire) in 75 participants. From all the patients approached in the clinic, 97.3% agreed to participate in the online DED symptom assessment. All questionnaires were completed satisfactorily. In 100% and 96.4% of the cases the respondents declared that the electronic versions of the OSDI and SANDE, respectively, were clear and easy to understand. After normalization of the scores, the analysis of agreement for clinical measures (Bland-Altman) revealed a difference (bias) of only 2.5 units (range -51.04 – 45.94; SD 24.74) between the scores of the two questionnaires (based on a centesimal  scale)
Patients suffering from dry eye disease are motivated to engage in regular, distance-based DED symptoms assessment, with high rates of participation. There were minimal differences between the scores obtained with the electronic versions of SANDE and OSDI questionnaires, supporting reports from paper-based questionnaires. Distance-based, recurring, and automated evaluation of pain and discomfort using new technologies, such as computer and internet protocols, is both feasible and convenient in large populations with chronic dry eye
This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.
This PDF is available to Subscribers Only