Investigators from Medical University of South Carolina Have Reported New Data on Managed Care (Risk Factors Driving “no-shows” Across Orthopaedic Subspecialty Outpatient Clinics): Managed Care - Insurance News | InsuranceNewsNet

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July 15, 2026 Newswires
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Investigators from Medical University of South Carolina Have Reported New Data on Managed Care (Risk Factors Driving “no-shows” Across Orthopaedic Subspecialty Outpatient Clinics): Managed Care

Health Policy and Law Daily

2026 JUL 15 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily -- A new study on Managed Care is now available. According to news originating from Charleston, South Carolina, by NewsRx correspondents, research stated, “Unattended clinic visits, or patient no-shows, can have harmful effects on patient health and well being and an unfavorable impact on the revenue stream and financial efficiency of the health system. The objective of this study was to assess potential risk factors associated with clinic no-shows across orthopaedic subspecialties in a large, tertiary care, academic, medical center.”

Our news journalists obtained a quote from the research from the Medical University of South Carolina, “Clinic appointments labeled as ‘completed’ or ‘no-show’ between January 1, 2021 and June 30, 2023, were retrospectively collected from an outpatient orthopaedic department at a single institution. Patient demographic, socioeconomic, and visit characteristics evaluated as potential risk factors for no-shows included patient age, sex, race, social deprivation index (SDI) at the zip code level, documented social support, employment status, insurance coverage, time between appointment creation and appointment date, orthopaedic subspecialty, appointment type (ie, new versus established patient status), and referral status (ie, self-referred versus referral from a medical provider). Variable selection was done with univariate logistic regression analysis, and adjusted risk of no-shows was estimated using multivariable logistic regression. Matching was done to control for potential confounding from patient age and sex, subspecialty, and appointment type. Overall, 148,352 clinic appointments were included in the primary analysis. Multivariable logistic regression analysis before matching cohorts demonstrated statistically significant associations between no-show appointments and advanced age, female sex, self-identified Black or African American race, unemployment, lack of social support, and Foot and Ankle visits. After cohorts were matched, a total of 22,154 clinic appointments were included in the final analysis with an equal number of ‘completed’ and ‘no-show’ visits. Multivariable logistic regression modeling of the matched no-shows and completed visits demonstrated a higher odds of no-show appointments among patients self-identifying as Black/African American, lacking social support, being unemployed, being a student or retiree, having Medicare insurance, and a having a higher SDI.”

According to the news editors, the research concluded: “Higher odds of patient no-shows were determined for several patient- and visit-level variables, including Black/African American race, lack of social support, unemployment, Medicare insurance, and higher SDI.Level of Evidence:III.”

This research has been peer-reviewed.

For more information on this research see: Risk Factors Driving “no-shows” Across Orthopaedic Subspecialty Outpatient Clinics. Journal of the American Academy of Orthopaedic Surgeons, 2026;34(13). Journal of the American Academy of Orthopaedic Surgeons can be contacted at: Lippincott Williams & Wilkins, Two Commerce Sq, 2001 Market St, Philadelphia, PA 19103, USA.

The news correspondents report that additional information may be obtained from Robert Ravinsky, Medical University of South Carolina, Dept Orthopaed & Phys Med, Charleston, SC 29425, United States. Additional authors for this research include John Martin, Jason Silvestre, John Glaser, Charles Reitman, James Lawrence, Lee Leddy, Gabriella Rivas, Eric Crawford and Benjamin Martin.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.5435/jaaos-d-25-00291. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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