Literature DB >> 28961577

Predictors of No-show Rate in the GI Endoscopy Suite at a Safety Net Academic Medical Center.

Asim Shuja1, Ciel Harris2, Petra Aldridge3, Miguel Malespin1, Silvio W de Melo1.   

Abstract

BACKGROUND/
OBJECTIVES: Noncompliance with physician and procedure appointments is associated with poor disease control and worse disease outcomes. This also impacts the quality of care, decreases efficiency, and affects revenue. Studies have shown that no-show rates are higher in clinics caring for underserved populations and may contribute to poorer health outcomes in this group.
METHODS: We performed a 17-month retrospective observational cohort study of patients scheduled for outpatient procedures in the Gastroenterology endoscopy suite at the University of Florida Health, Jacksonville. Multivariate logistic regression analysis was performed to evaluate associations between attendance and predictors of no-show.
RESULTS: In total, 6157 patients were scheduled to undergo different GI procedures during the study period. A total of 4388 (71%) patients completed their procedure, whereas 2349 (29%) failed to attend their appointment and were considered "no-show". There was a significant relationship between the visit attendance and race, insurance, gender, and marital status. Males had a higher no-show rate compared with females (30% vs. 28%; P<0.05). African Americans had the highest no-show rate (32%; P<0.05) amongst different races. Patients scheduled for surveillance colonoscopy (ie, history of polyps, IBD, Colon cancer) were more likely to show (78%) than those obtaining initial colorectal cancer screening (74%) or other indications (71%) (P<0.05).In the logistic regression model, patients with commercial insurance are more likely to show for their appointments than those with noncommercial insurance (eg, Medicare, Medicaid, City contract etc) [odds ratio (OR), 2.6; 95% confidence interval (CI), 2.2-3.0]. The odds of showing up are 1.7 times higher for married men compared with single men (OR, 1.7; 95% CI, 1.3-2.0). Similarly, married females are more likely to show up for appointment than single females (OR, 1.1; 95% CI, 0.9-1.3). We did not find significant association between the type of GI procedure (eg, colonoscopy vs. esophagogastroduodenoscopy vs. advanced endoscopic procedures) (P>0.05).
CONCLUSIONS: Predictors of no-shows for endoscopic gastrointestinal procedures included unpartnered or single patients, African American race and noncommercial insurance providers. Patients scheduled for surveillance colonoscopy had better adherence than initial screening. Further studies are required to better characterize these factors and improve adherence to the outpatient appointments based on the identified predictors.

Entities:  

Mesh:

Year:  2019        PMID: 28961577     DOI: 10.1097/MCG.0000000000000928

Source DB:  PubMed          Journal:  J Clin Gastroenterol        ISSN: 0192-0790            Impact factor:   3.062


  5 in total

1.  No-show rates to a sleep clinic: drivers and determinants.

Authors:  David L Cheung; Julie Sahrmann; Alvan Nzewuihe; Joseph R Espiritu
Journal:  J Clin Sleep Med       Date:  2020-09-15       Impact factor: 4.062

2.  Evaluation of an educational telephone intervention strategy to improve non-screening colonoscopy attendance: A randomized controlled trial.

Authors:  Agustín Seoane; Xènia Font; Juan C Pérez; Rocío Pérez; Carlos F Enriquez; Miriam Parrilla; Faust Riu; Josep M Dedeu; Luis E Barranco; Xavier Duran; Inés A Ibáñez; Marco A Álvarez
Journal:  World J Gastroenterol       Date:  2020-12-21       Impact factor: 5.742

3.  Effect of Text Messaging on Bowel Preparation and Appointment Attendance for Outpatient Colonoscopy: A Randomized Clinical Trial.

Authors:  Nadim Mahmud; David A Asch; Jessica Sung; Catherine Reitz; Mary S Coniglio; Caitlin McDonald; Donna Bernard; Shivan J Mehta
Journal:  JAMA Netw Open       Date:  2021-01-04

4.  Factors associated with non-attendance at appointments in the gastroenterology endoscopy unit: a retrospective cohort study.

Authors:  Hasan Yılmaz; Burcu Kocyigit
Journal:  PeerJ       Date:  2022-07-25       Impact factor: 3.061

Review 5.  Framework and Strategies to Eliminate Disparities in Colorectal Cancer Screening Outcomes.

Authors:  Chyke A Doubeni; Kevin Selby; Samir Gupta
Journal:  Annu Rev Med       Date:  2020-11-18       Impact factor: 13.739

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.