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Updated: Jan 24, 2026

An Anatomical Study of Nerves at Risk During Minimally Invasive Hallux Valgus Surgery
Published on: February 17, 2018
Incidence of and risk factors associated with care fragmentation following bariatric surgery
Joseph K Canner1, Sarah R Kaslow2, Faiz Gani1
1Department of Surgery, Johns Hopkins Surgery Center for Outcomes Research, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Background:
Current readmission rates do not account for readmissions to nonindex hospitals and may underestimate the actual burden of readmissions.
Objective:
Using a nationally representative database, we sought to characterize nonindex readmissions following bariatric surgery and identify risk factors associated with readmission to a nonindex hospital.
Setting:
Patients in the United States undergoing elective bariatric surgery.
Methods:
The Nationwide Readmissions Database was used to identify a weighted sample of 545,377 patients undergoing elective bariatric surgery between 2010 and 2014. Multivariable logistic regression analysis was used to identify factors associated with readmission to a nonindex hospital.
Results:
Among all patients, 5.6% were readmitted at least once within 30 days. Within the subgroup of patients who were readmitted, 17.6% were readmitted to a different hospital than the index admission hospital. Factors independently associated with higher odds of readmission to a nonindex hospital were primary payor (Medicare: odds ratio [OR] = 1.48, 95% confidence interval [CI]: 1.24-1.75; Medicaid: OR = 1.56, 95% CI: 1.26-1.95), All Patients Refined Diagnosis Related Group severity of illness score (extreme versus minor: OR = 1.48; 95% CI: 1.04-2.09), primary procedure (laparoscopic sleeve gastrectomy versus laparoscopic gastric bypass: OR = 1.23; 95% CI: 1.05-1.44), hospital bed size (reference: small hospital, medium: OR = .52, 95% CI: .39-.70; large: OR = .47, 95% CI: .35-.63), hospital ownership (reference: private, nonprofit hospital, government: OR = 1.77, 95% CI: 1.32-2.37; private, investor-owned: OR = 1.33, 95% CI: 1.07-1.64), and hospital location (reference: metropolitan area >1 million population, metropolitan <1 million population: OR = .44, 95% CI: .34-.56; micropolitan/rural: OR = .44, 95% CI: .27-.73).
Conclusion:
Failure to account for readmissions to different hospitals may underestimate readmission rates by approximately 18%.
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