Objective: To develop and validate a predictive model to estimate the probability of being nonadherent to topical glaucoma medications. Design: Prospective cohort study. Participants: Patients being treated with once-daily prostaglandin eye drops. Methods: A predictive model for nonadherence was developed from the Travatan Dosing Aid (TDA) study (n = 196) using stepwise logistic regression. The performance of the TDA-derived model was assessed using a separate cohort of subjects from the Automated Dosing Reminder Study (ADRS; n = 407). The assessment was based on regression coefficients, discrimination, and calibration. We also developed a scoring system from the TDA-derived model to simplify (Read more...)

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Objective: To develop and validate a predictive model to estimate the probability of being nonadherent to topical glaucoma medications. Design: Prospective cohort study. Participants: Patients being treated with once-daily prostaglandin eye drops. Methods: A predictive model for nonadherence was developed from the Travatan Dosing Aid (TDA) study (n = 196) using stepwise logistic regression. The performance of the TDA-derived model was assessed using a separate cohort of subjects from the Automated Dosing Reminder Study (ADRS; n = 407). The assessment was based on regression coefficients, discrimination, and calibration. We also developed a scoring system from the TDA-derived model to simplify (Read more...)

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