Ying-Yi Chou1, Yu-Chi Tung1. 1. Institute of Health Policy and Management, National Taiwan University, Taipei, Taiwan.
Abstract
BACKGROUND: Little is known about whether there are optimal hospital and surgeon volume thresholds to reduce readmission, costs, and length of stay (LOS) for total hip replacement (THR). Nationwide population-based data were applied to identify the optimal hospital and surgeon volume thresholds and to discover the effects of these volume thresholds on 30-day unplanned readmission, costs and LOS for THR. METHODS: A total of 6367 patients identified through Taiwan's National Health Insurance Research Database received THR in 2012. Restricted cubic splines were used to identify the optimal hospital and surgeon volume needed to decrease the risk of 30-day unplanned readmission. Multilevel regression modeling and propensity score weighting were used to examine the impact of hospital and surgeon volume thresholds on 30-day unplanned readmission, costs, and LOS, after adjusting for patient, surgeon, and hospital characteristics. RESULTS: The volume thresholds for hospitals and surgeons were 65 cases and 15 cases a year, respectively. The overall mean LOS was 7.3 ± 4.3 days. Patients who received THR from surgeons who did not reach the volume threshold had higher 30-day unplanned readmission rates, costs, and LOS than those who received THR from surgeons who reached the volume threshold. CONCLUSION: This is the first study to identify the surgeon volume threshold that can reduce 30-day unplanned readmission rates, costs, and LOS for THR. However, the results from Taiwan may not be applicable to other parts of the world. Identifying the threshold could help patients, providers, and policymakers to make decisions regarding optimal delivery of THR.
BACKGROUND: Little is known about whether there are optimal hospital and surgeon volume thresholds to reduce readmission, costs, and length of stay (LOS) for total hip replacement (THR). Nationwide population-based data were applied to identify the optimal hospital and surgeon volume thresholds and to discover the effects of these volume thresholds on 30-day unplanned readmission, costs and LOS for THR. METHODS: A total of 6367 patients identified through Taiwan's National Health Insurance Research Database received THR in 2012. Restricted cubic splines were used to identify the optimal hospital and surgeon volume needed to decrease the risk of 30-day unplanned readmission. Multilevel regression modeling and propensity score weighting were used to examine the impact of hospital and surgeon volume thresholds on 30-day unplanned readmission, costs, and LOS, after adjusting for patient, surgeon, and hospital characteristics. RESULTS: The volume thresholds for hospitals and surgeons were 65 cases and 15 cases a year, respectively. The overall mean LOS was 7.3 ± 4.3 days. Patients who received THR from surgeons who did not reach the volume threshold had higher 30-day unplanned readmission rates, costs, and LOS than those who received THR from surgeons who reached the volume threshold. CONCLUSION: This is the first study to identify the surgeon volume threshold that can reduce 30-day unplanned readmission rates, costs, and LOS for THR. However, the results from Taiwan may not be applicable to other parts of the world. Identifying the threshold could help patients, providers, and policymakers to make decisions regarding optimal delivery of THR.