Factors Associated With Nonattendance at Scheduled Outpatient Appointments in a University General Hospital (AU1)
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.
Appointments and Schedules
Outpatient Clinics, Hospital/Economics
|Study Design:||Observational Model: Cohort
Time Perspective: Retrospective
|Official Title:||Factors Associated With Nonattendance at Scheduled Outpatient Appointments in a University General Hospital|
- Prevalence of non attendance, attendance and cancellation [ Time Frame: Cohort study of 24 month ] [ Designated as safety issue: No ]Characterize, describe and compare the clinical and administrative characteristics of outpatients who didn't attend, attended and cancelled an appointment in internal medicine/primary health care, clinical subspecialties and surgical specialties.
- Clinical and administrative characteristics [ Time Frame: Cohort study of 24 month ] [ Designated as safety issue: No ]Characterize, describe and compare the clinical and administrative characteristics of outpatients who didn't attend, attended and cancelled an appointment in internal medicine/primary health care, clinical subspecialties and surgical specialties.
|Study Start Date:||May 2014|
|Study Completion Date:||December 2014|
|Primary Completion Date:||September 2014 (Final data collection date for primary outcome measure)|
Adult patients who had scheduled an appointment for outpatient primary care. Patients were divided into two groups, including those who attended their scheduled appointment and those who missed it.
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
Please refer to this study by its ClinicalTrials.gov identifier: NCT02108873
|Hospital Italiano de Buenos Aires|
|Capital Federal, Buenos Aires, Argentina, C1199ABD|
|Principal Investigator:||Diego H Giunta, MD||Hospital Italiano de Buenos Aires|