Patient Loss to Follow-up After Upper Extremity Surgery: A Review of 2563 Cases

Hand (N Y). 2019 Nov;14(6):836-840. doi: 10.1177/1558944718787277. Epub 2018 Jul 12.

Abstract

Background: Postoperative care is essential to optimizing patient outcome. We sought to determine the incidence and associated demographic and surgical factors of postoperative patient loss to follow-up following hand and upper extremity surgery. Methods: In all, 2834 surgical cases (2467 patients) were retrospectively reviewed. All surgical cases from July 2014 to June 2015 at a single practice with five surgeons were assessed. Charts were reviewed for compliance with postoperative follow-up. Variables were described with proportions and compared using logistic regression analysis. Results: In total, 2563 cases (2388 patients) met the inclusion criteria. Overall loss to follow-up rate was 26%. Patients lost to follow-up based on insurance type were 13% for worker's compensation, 22% for private insurance, 21% for Medicare, 38% for Medicaid, and 44% for self-pay. Patients with expected short-term follow-up were lost at a 23% rate. Expected mid- and long-term follow-up patients were lost at 34% and 20% rates, respectively. Patients below 30 years old were lost to follow-up at a 42% rate compared to patients 30 to 64 years old (26%) and greater than or equal to 65 years (13%). Males had a higher rate of loss to follow-up, 32%, compared with females (22%). Patients living greater than 50 miles from our surgery center were lost to follow-up at a rate of 31%, compared with those who lived less than 50 miles (25%). Conclusions: We have identified demographic variables associated with patients being lost to follow-up after hand and upper extremity surgery. With this knowledge, we hope to develop methods of either improving in-office follow-up rates or discover new avenues to deliver postoperative care.

Keywords: Medicaid; Medicare; lost to follow up; worker’s compensation.

MeSH terms

  • Adult
  • Aged
  • Female
  • Humans
  • Insurance, Health / statistics & numerical data
  • Logistic Models
  • Lost to Follow-Up*
  • Male
  • Medicaid / statistics & numerical data
  • Medicare / statistics & numerical data
  • Middle Aged
  • Orthopedic Procedures / statistics & numerical data*
  • Retrospective Studies
  • United States / epidemiology
  • Upper Extremity / surgery*
  • Workers' Compensation / statistics & numerical data