No-Show Rates in Employed Otolaryngology Practice

被引:8
|
作者
Comer, Brett T. [1 ]
Harris, Lauren E. [2 ]
Fiorillo, Caitlin E. [1 ]
Gal, Thomas J. [1 ]
Hughes, Allyson [3 ]
机构
[1] Univ Kentucky, Dept Otolaryngol Head & Neck Surg, Lexington, KY USA
[2] Univ Kentucky, Sch Med, Lexington, KY 40536 USA
[3] Univ Tennessee, Dept Internal Med, Memphis, TN USA
关键词
compliance; no-show; employed practice; otolaryngology; REMINDER; APPOINTMENTS; CARE;
D O I
10.1177/0145561319893157
中图分类号
R76 [耳鼻咽喉科学];
学科分类号
100213 ;
摘要
Objective: To report baseline no-show rates in the hospital-employed otolaryngology practice setting and to identify factors that may affect clinic show rates that are targets for potential improvement. Study Design: Retrospective chart review. Methods: Electronic medical records from October 2012 through July 2014 of a hospital-employed otolaryngology practice were reviewed. Patients were classified by insurance type: commercial, Medicare, Medicaid, and self-pay. Clinic visits were classified as new patient, follow-up, or postoperative. No-show rates were tabulated for each type of clinic visit and compared. Factors to improve no-show rates are discussed. Results: There was an overall no-show rate of 8.3% for 5817 scheduled clinic visits. Among visit types, follow-up visits had the highest no-show rates. Among insurance types, Medicaid had the highest no-show rates. New patient Medicaid patients, follow-up Medicaid patients, and follow-up commercial insurance patients had the highest rate of no-shows among visit/insurance type combinations. Persistent reminders are a key factor in improving rate of clinic visit adherence. Conclusion: A previously unreported baseline no-show rate was established for hospital-employed otolaryngology clinics. The utilization of repeated, live-person reminders to mitigate the impact of clinic no-show rates needs to be further investigated.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] To charge or not to charge: reducing patient no-show
    Gideon Leibner
    Shuli Brammli-Greenberg
    Joseph Mendlovic
    Avi Israeli
    Israel Journal of Health Policy Research, 12
  • [32] Improving the No-Show Rate of New Patients in Outpatient Psychiatric Practice: An Advance Practice Nurse-Initiated Telephone Engagement Protocol Quality Improvement Project
    Clouse, Kristen M.
    Williams, Kimberly A.
    Harmon, Jane M.
    PERSPECTIVES IN PSYCHIATRIC CARE, 2017, 53 (02) : 127 - 134
  • [33] Understanding Why Patients No-Show: Observations of 2.9 Million Outpatient Imaging Visits Over 16 Years
    Rosenbaum, Joshua I.
    Mieloszyk, Rebecca J.
    Hall, Christopher S.
    Hippe, Daniel S.
    Gunn, Martin L.
    Bhargava, Puneet
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (07) : 944 - 950
  • [34] The impact of telemedicine on no-show rates in pediatric dermatology: A multicenter retrospective analysis of safety-net clinics
    Cline, Abigail
    Jacobs, Ashley Keyes
    Fonseca, Maira
    Marmon, Shoshana
    JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2022, 86 (05) : E235 - E237
  • [35] Predictors of outpatients' no-show: big data analytics using apache spark
    Daghistani, Tahani
    AlGhamdi, Huda
    Alshammari, Riyad
    AlHazme, Raed H.
    JOURNAL OF BIG DATA, 2020, 7 (01)
  • [36] Condorcet’s principle and the strong no-show paradoxes
    Conal Duddy
    Theory and Decision, 2014, 77 : 275 - 285
  • [37] Condorcet's principle and the strong no-show paradoxes
    Duddy, Conal
    THEORY AND DECISION, 2014, 77 (02) : 275 - 285
  • [38] Hotel overbooking based on no-show probability forecasts
    Zhai, Qianru
    Tian, Ye
    Luo, Jian
    Zhou, Jingyue
    COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 180
  • [39] Factors Contributing to Late Cancellation and No-Show for Otolaryngologic Surgery: A Prospective Study
    Kaplon, Adam W.
    Lindemann, Timothy Logan
    Patel, Punam A.
    Soliman, Ahmed M. S.
    JOURNAL FOR HEALTHCARE QUALITY, 2022, 44 (02) : 88 - 94
  • [40] It's how you say it: Systematic A/B testing of digital messaging cut hospital no-show rates
    Berliner Senderey, Adi
    Kornitzer, Tamar
    Lawrence, Gabriella
    Zysman, Hilla
    Hallak, Yael
    Ariely, Dan
    Balicer, Ran
    PLOS ONE, 2020, 15 (06):