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Using an Automated Hirschberg Test App to Evaluate Ocular Alignment
Published on: March 24, 2020
Validation of StrabisPIX, a Mobile Application for Home Measurement of Ocular Alignment
Warachaya Phanphruk1,2, Yingna Liu1,3, Katharine Morley4
1Department of Ophthalmology, Boston Children's Hospital, Boston, MA, USA.
Purpose:
StrabisPIX is a smartphone application that allows clinicians to prescribe a series of self-obtained images of head position and eye alignment in nine positions of gaze that are uploaded onto a secure platform for clinician review. This study evaluates the clinical utility of this application.
Methods:
In this prospective, nonmasked, cross-sectional study, 30 strabismus patients aged ≥2 years were evaluated. Participants received standardized instructions, used StrabisPIX to obtain images as prompted, and completed a satisfaction survey. During the same visit, an orthoptist obtained standard clinical images with a professional camera. All 60 image sets were evaluated by three observers.
Results:
StrabisPIX image quality was similar to that of clinic photographs. Clinic photographs had significantly higher acceptability for horizontal versions (81% vs. 67%), vertical versions (76% vs. 60%), and head posture (93% vs. 81%). Abnormalities were detected at a similar rate for versions, head posture, eyelid position, and pupil size. StrabisPIX had significantly higher detection of alignment abnormalities (89% vs. 77% for clinical photos). Interrater/intrarater agreements were moderate to high (κ = 0.44-1.00) for all parameters except pupil abnormality, which had poor to fair agreement. Most patients reported that StrabisPIX was easy to learn and use.
Conclusions:
Overall, StrabisPIX images had similar quality and were as useful as images obtained in the clinic in detecting abnormalities.
Translational Relevance:
The StrabisPIX application will enhance the use of telemedicine by allowing physicians to prescribe self-obtained images documenting strabismus.
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