TY - JOUR
T1 - Predictors of No-Shows and Cancellations in an Outpatient Neuropsychology Clinic in a Large Healthcare System
AU - Stagni, Alessandra M.
AU - Rosenstein, Leslie D.
AU - Marcano, Alejandro Perez
AU - Woolsey, Alejandra N.
AU - Nieves, Emmanuel Rosario
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024
Y1 - 2024
N2 - Background: The purpose of this study was to evaluate potential predictors of no-shows and late cancellations in an outpatient clinic within a large healthcare system serving vulnerable communities. Methods: Demographic data and appointment status were recorded for 537 consecutive patients scheduled for neuropsychological evaluation in an outpatient psychiatry clinic. Patients include 220 males and 317 females with an average formal education of 11.01 years (SD = 3.87) and age of 55.64 years (SD = 16.20). Results: The overall rate of no-shows or late cancellations was 20%. Of the 106 patients who no-showed/late cancelled, 41% rescheduled, and of those, 23% missed or late cancelled their second appointment. No-shows and late cancellations were associated with historical/prior no-show rate, while race/ethnicity and activation of MyChart had slight impacts. Conclusions: These data suggest that prior no-show rates and MyChart access may be targets for interventions to improve show rates. This is important for the patients’ gaining access to care as well as minimizing financial strains for the system and increasing wait times/delays to care for other patients.
AB - Background: The purpose of this study was to evaluate potential predictors of no-shows and late cancellations in an outpatient clinic within a large healthcare system serving vulnerable communities. Methods: Demographic data and appointment status were recorded for 537 consecutive patients scheduled for neuropsychological evaluation in an outpatient psychiatry clinic. Patients include 220 males and 317 females with an average formal education of 11.01 years (SD = 3.87) and age of 55.64 years (SD = 16.20). Results: The overall rate of no-shows or late cancellations was 20%. Of the 106 patients who no-showed/late cancelled, 41% rescheduled, and of those, 23% missed or late cancelled their second appointment. No-shows and late cancellations were associated with historical/prior no-show rate, while race/ethnicity and activation of MyChart had slight impacts. Conclusions: These data suggest that prior no-show rates and MyChart access may be targets for interventions to improve show rates. This is important for the patients’ gaining access to care as well as minimizing financial strains for the system and increasing wait times/delays to care for other patients.
KW - Access to care
KW - Healthcare costs
KW - No-shows
KW - Waitlists
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U2 - 10.1007/s10900-024-01378-x
DO - 10.1007/s10900-024-01378-x
M3 - Article
C2 - 39042289
AN - SCOPUS:85199261263
SN - 0094-5145
VL - 49
SP - 900
EP - 906
JO - Journal of Community Health
JF - Journal of Community Health
IS - 5
ER -