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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.
  • Elkhider H; Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
  • Sharma R; Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
  • Sheng S; Neurology Department Epilepsy Division, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
  • Thostenson J; College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
  • Kapoor N; Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
  • Veerapaneni P; Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
  • Siddamreddy S; Department of Internal Medicine, Baptist Health, North Little Rock, AR 72117, USA.
  • Ibrahim F; Department of Neurology, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
  • Yadala S; Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
  • Onteddu S; Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
  • Nalleballe K; Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Healthcare (Basel) ; 10(4)2022 Mar 22.
Article in English | MEDLINE | ID: covidwho-1809808
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Healthcare10040599

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Healthcare10040599