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Correlation of Appointment Times and Subspecialty With the No-Show Rates in an Orthopedic Ambulatory Clinic
- Source :
- Journal of healthcare management / American College of Healthcare Executives. 63(6)
- Publication Year :
- 2018
-
Abstract
- EXECUTIVE SUMMARY Unexpectedly missed appointments ("no-shows") cause clinic inefficiency, lost time and revenue, wasted healthcare resources, and provider dissatisfaction. No-shows can be associated with miscommunication, transportation difficulties, employment status, age, race, and socioeconomic status. This study investigates the association between no-show rates and patient, appointment time, and provider characteristics. Data for all scheduled appointments in a single orthopedic multispecialty institution during calendar year 2016 were obtained. Data points included patient age, gender, and race; hour; month; and subspecialty. Chi-square testing was used to compare no-show and kept appointments with respect to patient and appointment characteristics. Logistic regression was used to calculate differences in no-show rates between orthopedic subspecialties. The overall no-show rate was 11.5%. Race, age, and subspecialties were all found to be associated with higher no-show rates. No significant differences were observed for gender, appointment time, or month of appointment. The authors suggest that patients at higher risk of not showing up for scheduled appointments may need extra effort from providers to accommodate the patients' schedules when making appointments, to confirm their appointments a few days before, and/or to incentivize patients to minimize no-shows.
- Subjects :
- Adult
Male
medicine.medical_specialty
Adolescent
Databases, Factual
Leadership and Management
Strategy and Management
education
Subspecialty
Logistic regression
Ambulatory Care Facilities
03 medical and health sciences
Appointments and Schedules
Young Adult
0302 clinical medicine
Health care
medicine
Humans
Orthopedic Procedures
030212 general & internal medicine
Young adult
Child
Socioeconomic status
health care economics and organizations
Aged
Aged, 80 and over
030222 orthopedics
business.industry
Health Policy
Infant
General Medicine
Middle Aged
humanities
Logistic Models
Family medicine
Child, Preschool
Orthopedic surgery
Ambulatory
Patient Compliance
Female
business
Specialization
Subjects
Details
- ISSN :
- 10969012
- Volume :
- 63
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of healthcare management / American College of Healthcare Executives
- Accession number :
- edsair.doi.dedup.....8e255c1540685a4cbb57c2c387d14c3c