Background: This study aimed to compare the rate of scheduled surgery and no-show rates between online-scheduled appointments and traditionally scheduled appointments.
Materials And Methods: All scheduled outpatient visits at a single large multi-subspecialty orthopedic practice in three U.S. states (PA, NJ, and NY) were collected from February 1, 2022, to February 28, 2022. Visits were categorized as "online-scheduled" or "traditionally scheduled" and then further grouped as "no-show," "canceled," or "visited." Finally, visits were categorized as either "new patient" or "follow-up."
Results: There was no significant difference between scheduling systems for patient progression to any procedure within 3 months of the initial visit ( = 0.97) and patient progression for surgery only within 3 months of the initial visit ( = 0.88). However, we found a significant difference with a higher rate of progression to surgery in traditionally scheduled than online-scheduled visits when accounting for only new patient visits that progressed to surgery within 3 months of the initial encounter ( = 0.036). No-show rates between scheduling systems were not significant ( = 0.79), but no-show rates were significant when comparing the practice's subspecialties ( < 0.001). Finally, no-show rates for online-scheduled compared to traditionally scheduled patients for both new and follow-up appointments were not significantly different ( = 0.28 and = 0.94, respectively).
Conclusion: Orthopedic practices should utilize online-scheduling systems as there was a higher progression to surgery of traditionally scheduled appointments compared to online. Depending on the subspecialty, no-show rates differed. Furthermore, online-scheduling allows for more patient autonomy and less burden on office staff.
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http://dx.doi.org/10.4103/jrms.jrms_738_22 | DOI Listing |
Ophthalmic Epidemiol
December 2024
Glaucoma Service, Wills Eye Hospital, Philadelphia, Pennsylvania, USA.
Purpose: To identify factors that are associated with no-shows and cancellations in a glaucoma clinic.
Methods: Retrospective observational study of patients seen at a glaucoma clinic over a two-year period (6/2017-5/2019). Demographics and clinic information were recorded from the electronic medical record.
J Clin Sleep Med
December 2024
Clemson University, Department of Public Health Sciences, Clemson, SC.
Study Objectives: Screening for early detection of sleep-disordered breathing (SDB) in hospitalized patients has been shown to reduce readmission rates. However, post-discharge polysomnography for confirmation of diagnosis is required. We analyzed factors for "no-shows" using geospatial techniques.
View Article and Find Full Text PDFTelemed J E Health
December 2024
Division of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Few studies have explored patient choice of visit modality between in-person, video, and telephone for prenatal care where exams are viewed as core to care and how this choice impacts no-show rate. This study evaluated the association between choice of visit modality and prenatal care visit attendance. In this observational (July 2020-June 2022) mixed methods study of an urban safety-net obstetrics clinic, we collected sociodemographic traits, telemedicine eligibility (as determined by a clinician), choice of visit modality (in-person, telephone, and video), and visit completion status.
View Article and Find Full Text PDFAm J Perinatol
December 2024
Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana.
Objective: This study aimed exploration of associations of social determinants of health (SDH) with attrition rates of neurocritical care graduates at follow-up.
Study Design: An observational retrospective cohort study was conducted to evaluate the attrition rates of an infant's first appointment scheduled with the NeuroNICU follow-up clinic in correlation with SDH.
Results: The "No Show" group was more likely to have unemployed ( = 0.
MDM Policy Pract
November 2024
Director of Research and Innovation, KidsAbility, Kitchener, ON, Canada.
Unlabelled: The time between booking an appointment and the appointment taking place, known as lead time, has been identified as a predictor of cancellation and no-show probability in health care settings. Understanding the impact of reducing permissible lead times, that is, the booking horizon, at a policy level in an outpatient care setting is important when mitigating costly cancellation and no-show rates. Few studies have researched this in an observational or experimental setting.
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