AI Article Synopsis

  • This study investigates factors predicting no-show rates in neurology clinics by analyzing data from July 2013 to September 2018.
  • Out of 71,178 patients, 16% missed their appointments, with younger individuals, female patients, and Black/African American patients showing higher odds of no-show.
  • The findings suggest interventions like improved communication and flexible scheduling, including telemedicine, could help reduce no-show rates among high-risk groups.

Article Abstract

In this study, we aim to identify predictors of a no-show in neurology clinics at our institution. We conducted a retrospective review of neurology clinics from July 2013 through September 2018. We compared odds ratio of patients who missed appointments (no-show) to those who were present at appointments (show) in terms of age, lead-time, subspecialty, race, gender, quarter of the year, insurance type, and distance from hospital. There were 60,012 (84%) show and 11,166 (16%) no-show patients. With each day increase in lead time, odds of no-show increased by a factor of 1.0019 (p < 0.0001). Odds of no-show were higher in younger (p ≤ 0.0001, OR = 0.49) compared to older (age ≥ 60) patients and in women (p < 0.001, OR = 1.1352) compared to men. They were higher in Black/African American (p < 0.0001, OR = 1.4712) and lower in Asian (p = 0.03, OR = 0.6871) and American Indian/Alaskan Native (p = 0.055, OR = 0.6318) as compared to White/Caucasian. Patients with Medicare (p < 0.0001, OR = 1.5127) and Medicaid (p < 0.0001, OR = 1.3354) had higher odds of no-show compared to other insurance. Young age, female, Black/African American, long lead time to clinic appointments, Medicaid/Medicare insurance, and certain subspecialties (resident and stroke clinics) are associated with high odds of no show. Possible suggested interventions include better communication and flexible appointments for the high-risk groups as well as utilizing telemedicine.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025597PMC
http://dx.doi.org/10.3390/healthcare10040599DOI Listing

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