Predictors of No-Show in Neurology Clinics

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 appoint...

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Bibliographic Details
Main Authors: Hisham Elkhider, Rohan Sharma, Sen Sheng, Jeff Thostenson, Nidhi Kapoor, Poornachand Veerapaneni, Suman Siddamreddy, Faisal Ibrahim, Sisira Yadala, Sanjeeva Onteddu, Krishna Nalleballe
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Healthcare
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Online Access:https://www.mdpi.com/2227-9032/10/4/599
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Summary: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 (<i>p</i> < 0.0001). Odds of no-show were higher in younger (<i>p</i> ≤ 0.0001, OR = 0.49) compared to older (age ≥ 60) patients and in women (<i>p</i> < 0.001, OR = 1.1352) compared to men. They were higher in Black/African American (<i>p</i> < 0.0001, OR = 1.4712) and lower in Asian (<i>p</i> = 0.03, OR = 0.6871) and American Indian/Alaskan Native (<i>p</i> = 0.055, OR = 0.6318) as compared to White/Caucasian. Patients with Medicare (<i>p</i> < 0.0001, OR = 1.5127) and Medicaid (<i>p</i> < 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.
ISSN:2227-9032