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Nikki Angela Mehran, Israel Ojalvo, Qiang Zhang, Jonathan S Myers, Reza Razeghinejad, Natasha Kolomeyer, Daniel Lee; Weather Patterns Associated with ‘No-Shows’ and Cancellations in Glaucoma Clinic. Invest. Ophthalmol. Vis. Sci. 2020;61(7):1605.
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Patient non-adherence to follow-up appointments has been associated with more severe glaucomatous defects. Identifying weather-related factors that are associated with ‘no-shows’ and cancellations could result in considerable administrative insight and assist in designing interventions to avoid negative patient consequences.
A retrospective review of appointment records from June 1, 2017 - May 31, 2019 was performed at an urban tertiary eye hospital. 36810 visits from 7383 patients were included in this study. Data collection included clinic type (resident vs. attending), patient age, gender, insurance, distance, and appointment type). Visits were divided into 3 groups based on appointment status: kept (64.6%), cancelled (23.5%), and no-show (11.8%); statistical correction was performed for repeat visits by the same patient. Daily Weather Records and Storm Events database were analyzed from the National Centers for Environmental Information website and included: average(avg), minimum(min), maximum(max) temperature (T in °F), avg precipitation (in), avg snowfall (in), avg wind speed (mph), and presence/type of storm event.
Age and gender were statistically different between patients who kept their appointments versus those who cancelled or were ‘no-shows’ (p < 0.0001, Kruskal-Wallis and Fischer Exact test). Using multivariable logistic regression the following factors were (positively or negatively) associated with likelihood of patient ‘no-show’: avg snowfall [OR 1.27 (95% CI: 1.17, 1.37)]; presence of a storm event [OR 1.41 (1.31, 1.51)]; avgT [OR 0.93 (0.90, 0.96)]; minT [OR 1.02 ( 1.01, 1.03)]; maxT [OR 1.04 ( 1.03, 1.06)]; and avg windspeed [OR 0.98 ( 0.97, 0.99)]. Using multivariable logistic regression the following factors were associated with likelihood of patient cancellation: avg snowfall [OR 1.37 (1.29, 1.45)]; avgT [OR 1.02 (1.01, 1.03)]; maxT [OR 0.99 ( 0.98, 0.99)]; and presence of a strom event [OR 1.12 (1.03, 1.21)].
Patient age, gender and daily weather (temperature, snowfall, wind speed, and storm events) were significantly associated with rates of patient cancellations and ‘no-shows’ in glaucoma clinic. Understanding these variables will help plan for weather-related schedule adjustments and suggests weather is an under-analyzed factor in patient follow-up rates that warrants further investigation.
This is a 2020 ARVO Annual Meeting abstract.
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