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Related Experiment Videos

Risk Factors Driving "No-Shows" Across Orthopaedic Subspecialty Outpatient Clinics.

John Martin1, Gabriella Rivas, Jason Silvestre

  • 1From the Department of Orthopaedics and Physical Medicine, Medical University of South Carolina, Charleston, SC (J. Martin, Silvestre, Glaser, Reitman, Lawrence, Leddy, and Ravinsky), Trident Medical Center, Department of Internal Medicine, Charleston, SC (Rivas), the Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada (Crawford), and Biomedical Informatics and Data Science, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (B. Martin).

The Journal of the American Academy of Orthopaedic Surgeons
|June 18, 2026
PubMed
Summary

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Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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This summary is machine-generated.

Patient no-shows in orthopaedics are linked to factors like race, social support, employment, and insurance. Identifying these risk factors can help reduce missed appointments and improve patient care.

Area of Science:

  • Orthopaedic Surgery
  • Health Services Research
  • Health Equity

Background:

  • Patient no-shows negatively impact patient health and healthcare system efficiency.
  • Understanding risk factors for missed appointments is crucial for targeted interventions.

Purpose of the Study:

  • To identify patient- and visit-level risk factors for clinic no-shows within orthopaedic subspecialties.
  • To analyze these factors in a large, tertiary care academic medical center.

Main Methods:

  • Retrospective analysis of 148,352 orthopaedic clinic appointments (2021-2023).
  • Utilized multivariable logistic regression to assess risk factors, controlling for age, sex, subspecialty, and appointment type.
  • Included demographic, socioeconomic, and visit characteristics such as race, social support, employment, and insurance.

Related Experiment Videos

Main Results:

  • No-shows were associated with advanced age, female sex, Black/African American race, unemployment, lack of social support, and Foot and Ankle visits (pre-matching).
  • After matching, higher odds of no-shows were linked to Black/African American race, lack of social support, unemployment, student/retiree status, Medicare insurance, and higher Social Deprivation Index (SDI).

Conclusions:

  • Patient race (Black/African American), lack of social support, unemployment, Medicare insurance, and higher SDI are significant predictors of orthopaedic clinic no-shows.
  • These findings highlight disparities and inform strategies to mitigate missed appointments.