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Karen B Fernandez, Seth P Epstein, Geoffrey S Raynor, Alan T Sheyman, Morgan L Massingale, Peter G Dentone, Lukas D Landegger, Penny A Asbell Department of Ophthalmology, Mount Sinai School of Medicine, New York, NY, USA Purpose: To determine the changes in dry eye disease (DED) severity and the percentage of cells expressing HLA-DR on the ocular surface following treatment with lubricant eyedrops containing polyethylene glycol and propylene glycol (PEG/PG) and the gelling agent hydroxypropyl guar (HP-Guar).Patients and methods: Nineteen patients with DED used PEG/PG + HP-Guar eyedrops four times per day for 30 days. Assessments included DED severity (Ocular Surface Disease Index [OSDI], corneal staining, conjunctival staining, tear film break-up time [TFBUT], and Schirmer testing) and impression cytology of the conjunctiva with masked flow cytometry at baseline and at 30 days.Results: There was a significant decrease in corneal staining (P

Neurologists are commonly consulted for patients with a functional neurologic disorder. Best practices as to their diagnosis and treatment have been established, and multiple academic centers have programs in place for their treatment. However, given the number of patients suffering from this condition, a comprehensive model of care that can be broadly implemented needs to be developed and applied beyond specialized academic programs., (© 2020 American Academy of Neurology.)

Background: There are over 165,000 mHealth apps currently available to patients, but few have undergone an external quality review. Furthermore, no standardized review method exists, and little has been done to examine the consistency of the evaluation systems themselves., Objective: We sought to determine which measures for evaluating the quality of mHealth apps have the greatest interrater reliability., Methods: We identified 22 measures for evaluating the quality of apps from the literature. A panel of 6 reviewers reviewed the top 10 depression apps and 10 smoking cessation apps from the Apple iTunes App Store on these measures. Krippendorff's alpha was calculated for each of the measures and reported by app category and in aggregate., Results: The measure for interactiveness and feedback was found to have the greatest overall interrater reliability (alpha=.69). Presence of password protection (alpha=.65), whether the app was uploaded by a health care agency (alpha=.63), the number of consumer ratings (alpha=.59), and several other measures had moderate interrater reliability (alphas>.5). There was the least agreement over whether apps had errors or performance issues (alpha=.15), stated advertising policies (alpha=.16), and were easy to use (alpha=.18). There were substantial differences in the interrater reliabilities of a number of measures when they were applied to depression versus smoking apps., Conclusions: We found wide variation in the interrater reliability of measures used to evaluate apps, and some measures are more robust across categories of apps than others. The measures with the highest degree of interrater reliability tended to be those that involved the least rater discretion. Clinical quality measures such as effectiveness, ease of use, and performance had relatively poor interrater reliability. Subsequent research is needed to determine consistent means for evaluating the performance of apps. Patients and clinicians should consider conducting their own assessments of apps, in conjunction with evaluating information from reviews.