Predicting Likelihood of Missed Appointments in Primary Care [Health care informatics]
Annals of Family Medicine
NOVEMBER 20, 2024
Study Design and Analysis Retrospective, longitudinal study using electronic health records. Some features affecting appointment outcomes were the provider’s experience and type, patient age, patient ethnicity, area deprivation index, home-clinic distance, number of comorbidities, usual provider of care index, insurance, and weather.
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