Education research: a new system for reducing patient nonattendance in residents' clinic.
BACKGROUND
Patient nonattendance in neurology and other subspecialty clinics is closely linked to longer waiting times for appointments. We developed a new scheduling system for residents' clinic that reduced average waiting times from >4 months to < or =3 weeks. The purpose of this study was to compare nonattendance for clinics scheduled using the new model (termed "rapid access") vs those scheduled using the traditional system.


METHODS
In the rapid access system, nonestablished (new) patients are scheduled on a first-come, first-served basis for appointments that must occur within 2 weeks of their telephone request. Nonattendance for new patient appointments (cancellations plus no-shows) was compared for patients scheduled under the traditional vs the rapid access scheduling systems. Nonattendance was compared for periods of 6, 12, and 18 months following change in scheduling system using the chi2 test and logistic regression.


RESULTS
Compared to the traditional scheduling system, the rapid access system was associated with a 50% reduction in nonattendance over 18 months (64% [812/1,261 scheduled visits] vs 31% [326/1,059 scheduled visits], p < 0.0001). In logistic regression models, appointment waiting time was a major factor in the relation between rapid access scheduling and nonattendance. Demographics, diagnoses, and likelihood of scheduling follow-up visits were similar between the 2 systems.


CONCLUSIONS
A new scheduling system that minimizes waiting times for new patient appointments has been effective in substantially reducing nonattendance in our neurology residents' clinic. This rapid access system should be considered for implementation and will likely enhance the outpatient educational experience for trainees in neurology.
Price
Raymond S
RS
3 E Gates-Neurology, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Balcer
Laura J
LJ
Galetta
Steven L
SL
D000328:Adult; D001071:Appointments and Schedules; D005260:Female; D006751:Hospital Information Systems; D006801:Humans; D008297:Male; D008875:Middle Aged; D009462:Neurology / Q000458:organization & administration*; D009819:Office Visits / Q000706:statistics & numerical data*; D010044:Outpatient Clinics, Hospital / Q000458:organization & administration* / Q000706:statistics & numerical data; D013997:Time Factors