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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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Autores principales: Elkhider, Hisham, Sharma, Rohan, Sheng, Sen, Thostenson, Jeff, Kapoor, Nidhi, Veerapaneni, Poornachand, Siddamreddy, Suman, Ibrahim, Faisal, Yadala, Sisira, Onteddu, Sanjeeva, Nalleballe, Krishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025597/
https://www.ncbi.nlm.nih.gov/pubmed/35455777
http://dx.doi.org/10.3390/healthcare10040599
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author Elkhider, Hisham
Sharma, Rohan
Sheng, Sen
Thostenson, Jeff
Kapoor, Nidhi
Veerapaneni, Poornachand
Siddamreddy, Suman
Ibrahim, Faisal
Yadala, Sisira
Onteddu, Sanjeeva
Nalleballe, Krishna
author_facet Elkhider, Hisham
Sharma, Rohan
Sheng, Sen
Thostenson, Jeff
Kapoor, Nidhi
Veerapaneni, Poornachand
Siddamreddy, Suman
Ibrahim, Faisal
Yadala, Sisira
Onteddu, Sanjeeva
Nalleballe, Krishna
author_sort Elkhider, Hisham
collection PubMed
description 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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spelling pubmed-90255972022-04-23 Predictors of No-Show in Neurology Clinics Elkhider, Hisham Sharma, Rohan Sheng, Sen Thostenson, Jeff Kapoor, Nidhi Veerapaneni, Poornachand Siddamreddy, Suman Ibrahim, Faisal Yadala, Sisira Onteddu, Sanjeeva Nalleballe, Krishna Healthcare (Basel) Article 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. MDPI 2022-03-22 /pmc/articles/PMC9025597/ /pubmed/35455777 http://dx.doi.org/10.3390/healthcare10040599 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Elkhider, Hisham
Sharma, Rohan
Sheng, Sen
Thostenson, Jeff
Kapoor, Nidhi
Veerapaneni, Poornachand
Siddamreddy, Suman
Ibrahim, Faisal
Yadala, Sisira
Onteddu, Sanjeeva
Nalleballe, Krishna
Predictors of No-Show in Neurology Clinics
title Predictors of No-Show in Neurology Clinics
title_full Predictors of No-Show in Neurology Clinics
title_fullStr Predictors of No-Show in Neurology Clinics
title_full_unstemmed Predictors of No-Show in Neurology Clinics
title_short Predictors of No-Show in Neurology Clinics
title_sort predictors of no-show in neurology clinics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025597/
https://www.ncbi.nlm.nih.gov/pubmed/35455777
http://dx.doi.org/10.3390/healthcare10040599
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