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Evaluation of Patient No-Shows in a Tertiary Hospital: Focusing on Modes of Appointment-Making and Type of Appointment

Authors
 Mi Young Suk  ;  Bomgyeol Kim  ;  Sang Gyu Lee  ;  Chang Hoon You  ;  Tae Hyun Kim 
Citation
 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Vol.18(6) : 3288, 2021-03 
Journal Title
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
ISSN
 1661-7827 
Issue Date
2021-03
MeSH
Appointments and Schedules ; Humans ; No-Show Patients* ; Republic of Korea ; Seoul ; Tertiary Care Centers
Keywords
health care resource planning ; modes of appointment-making ; no-show ; types of appointment
Abstract
No-show appointments waste resources and decrease the sustainability of care. This study is an attempt to evaluate patient no-shows based on modes of appointment-making and types of appointments. We collected hospital information system data and appointment data including characteristics of patients, service providers, and clinical visits over a three-month period (1 September 2018 to 30 November 2018), at a large tertiary hospital in Seoul, Korea. We used multivariate logistic regression analyses to identify the factors associated with no-shows (Model 1). We further assessed no-shows by including the interaction term ("modes of appointment-making" X "type of appointment") (Model 2). Among 1,252,127 appointments, the no-show rate was 6.12%. Among the modes of appointment-making, follow-up and online/telephone appointment were associated with higher odds of no-show compared to walk-in. Appointments for treatment and surgery had higher odds ratios of no-show compared to consultations. Tests for the interaction between the modes of appointment-making and type of appointment showed that follow-up for examination and online/telephone appointments for treatment and surgery had much higher odds ratios of no-shows. Other significant factors of no-shows include age, type of insurance, time of visit, lead time (time between scheduling and the appointment), type of visits, doctor's position, and major diagnosis. Our results suggest that future approaches for predicting and addressing no-show should also consider and analyze the impact of modes of appointment-making and type of appointment on the model of prediction.
Files in This Item:
T202104204.pdf Download
DOI
10.3390/ijerph18063288
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Kim, Tae Hyun(김태현) ORCID logo https://orcid.org/0000-0003-1053-8958
Lee, Sang Gyu(이상규) ORCID logo https://orcid.org/0000-0003-4847-2421
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/185475
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