BACKGROUND: Lost to follow-up (LTF) represents an understudied barrier to effective management of chronic subdural hematoma (cSDH). Understanding the factors associated with LTF after surgical treatment of cSDH could uncover pathways for quality improvement efforts and modify discharge planning. We sought to identify the demographic and clinical factors associated with patient LTF. METHODS: A single-institution, retrospective cohort study of patients treated surgically for convexity cSDH from 2009 to 2019 was conducted. The primary outcome was LTF, with neurosurgical readmission as the secondary outcome. Univariate analysis was conducted using the student-t test and χ2 test. Multivariate logistic regression was performed to identify the factors associated with LTF and neurosurgical readmission. RESULTS: A total of 139 patients were included, 29% of whom were LTF. The mean first postoperative follow-up duration was 60 days. On univariate analysis, uninsured/Medicaid coverage was associated with increased LTF compared with private insurance/Medicare coverage (62.5% vs. 41.4%; P = 0.039). A higher discharge modified Rankin scale score was also associated with LTF (3.7 vs. 3.5; P < 0.001). On multivariate analysis, uninsured/Medicaid patients had a significantly greater risk of LTF compared with private insurance/Medicare patients (odds ratio, 2.44; 95% confidence interval, 1.13-5.23; P = 0.022). LTF was independently associated with an increased risk of neurosurgical readmission (odds ratio, 1.94; 95% confidence interval, 1.17-3.24; P = 0.011). CONCLUSIONS: Uninsured and Medicaid patients had a greater likelihood of LTF compared with private insurance and Medicare patients. LTF was further associated with an increased risk of neurosurgical readmission. The results from the present study emphasize the need to address barriers to follow-up to reduce readmission after surgery for cSDH. These findings could inform improved discharge planning, such as predischarge repeat imaging studies and postdischarge contact.
BACKGROUND: Lost to follow-up (LTF) represents an understudied barrier to effective management of chronic subdural hematoma (cSDH). Understanding the factors associated with LTF after surgical treatment of cSDH could uncover pathways for quality improvement efforts and modify discharge planning. We sought to identify the demographic and clinical factors associated with patient LTF. METHODS: A single-institution, retrospective cohort study of patients treated surgically for convexity cSDH from 2009 to 2019 was conducted. The primary outcome was LTF, with neurosurgical readmission as the secondary outcome. Univariate analysis was conducted using the student-t test and χ2 test. Multivariate logistic regression was performed to identify the factors associated with LTF and neurosurgical readmission. RESULTS: A total of 139 patients were included, 29% of whom were LTF. The mean first postoperative follow-up duration was 60 days. On univariate analysis, uninsured/Medicaid coverage was associated with increased LTF compared with private insurance/Medicare coverage (62.5% vs. 41.4%; P = 0.039). A higher discharge modified Rankin scale score was also associated with LTF (3.7 vs. 3.5; P < 0.001). On multivariate analysis, uninsured/Medicaid patients had a significantly greater risk of LTF compared with private insurance/Medicare patients (odds ratio, 2.44; 95% confidence interval, 1.13-5.23; P = 0.022). LTF was independently associated with an increased risk of neurosurgical readmission (odds ratio, 1.94; 95% confidence interval, 1.17-3.24; P = 0.011). CONCLUSIONS: Uninsured and Medicaid patients had a greater likelihood of LTF compared with private insurance and Medicare patients. LTF was further associated with an increased risk of neurosurgical readmission. The results from the present study emphasize the need to address barriers to follow-up to reduce readmission after surgery for cSDH. These findings could inform improved discharge planning, such as predischarge repeat imaging studies and postdischarge contact.
Authors: Richard Scott Saunders; Sara Fernandes-Taylor; Paul J Rathouz; Sandeep Saha; Jason T Wiseman; Jeffrey Havlena; Jon Matsumura; K Craig Kent Journal: Surgery Date: 2014-10 Impact factor: 3.982