Appointments and Schedules Clinical Trial
Official title:
Factors Associated With Nonattendance at Scheduled Outpatient Appointments in a University General Hospital
Our objectives were to estimate the prevalence of nonattendance at outpatient offices, to identify the characteristics of appointments for which nonattendance was more likely to occur, and to generate a predictive model that could be applied to each appointment to estimate the probability of nonattendance.
Nonattendance at scheduled appointments at outpatient clinics is a common problem in general
medical practice, representing a significant cost to the health care system, and resulting
in disruption of daily work planning.Nonattendance at medical appointments has consequences
not only for doctors (as it requires a greater use of resources and time), but also for
patients, because there may be deterioration in the quality of care, and dissatisfaction
associated with delays in obtaining a new appointment.
Previous studies have reported that nonattendance at scheduled appointments is most
frequently associated with those patients attending follow-up appointments, generally those
assigned to another professional, those with appointments on Fridays, and those with
appointments assigned 1 - 2 weeks in advance. Nonattendance was also associated with younger
patient age, greater psychological problems, and lower socioeconomic status.Furthermore, in
patients with chronic diseases, the nonattendance rate was also reported to be lower.
Clinical patient characteristics can be important predictors of nonattendance, but they
required high quality electronic health records to predict nonattendance accurately In the
United States and Europe, the nonattendance rate is estimated to be between 6.5%-55%; there
is little evidence regarding nonattendance in Latin America. Many studies have described the
prevalence and impact of nonattendance at scheduled medical appointments, and possible
strategies to decrease the nonattendance rate. However, few studies have utilized the
characteristics associated with nonattendance for building predictive models, which might
better identify those patients who may not attend a scheduled appointment
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Observational Model: Cohort, Time Perspective: Retrospective
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