Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.

OBJECTIVE: We used nationwide population-based data to identify optimal hospital and surgeon volume thresholds and to discover the effects of these volume thresholds on operative mortality and length of stay (LOS) for coronary artery bypass surgery (CABG). DESIGN: Retrospective cohort study. SETTING: General acute care hospitals throughout Taiwan. PARTICIPANTS: A total of 12,892 CABG patients admitted between 2011 and 2015 were extracted from Taiwan National Health Insurance claims data. MAIN OUTCOME MEASURES: Operative mortality and LOS. Restricted cubic splines were applied to discover the optimal hospital and surgeon volume thresholds needed to reduce operative mortality. Generalized estimating equation regression modeling, Cox proportional-hazards modeling and instrumental variables analysis were employed to examine the effects of hospital and surgeon volume thresholds on the operative mortality and LOS. RESULTS: The volume thresholds for hospitals and surgeons were 55 cases and 5 cases per year, respectively. Patients who underwent CABG from hospitals that did not reach the volume threshold had higher operative mortality than those who received CABG from hospitals that did reach the volume threshold. Patients who underwent CABG with surgeons who did not reach the volume threshold had higher operative mortality and LOS than those who underwent CABG with surgeons who did reach the volume threshold. CONCLUSIONS: This is the first study to identify the optimal hospital and surgeon volume thresholds for reducing operative mortality and LOS. This supports policies regionalizing CABG at high-volume hospitals. Identifying volume thresholds could help patients, providers, and policymakers provide optimal care.

Association of antidiabetic therapies with lower extremity amputation, mortality and healthcare cost from a nationwide retrospective cohort study in Taiwan.

We compared risks of clinical outcomes, mortality and healthcare costs among new users of different classes of anti-diabetic medications. This is a population-based, retrospective, new-user design cohort study using the Taiwan National Health Insurance Database between May 2, 2015 and September 30, 2017. An individual was assigned to a medication group based on the first anti-diabetic prescription on or after May 1, 2016: SGLT-2 inhibitors, DPP-4 inhibitors, GLP-1 agonists or older agents (metformin, etc.). Clinical outcomes included lower extremity amputation, peripheral vascular disease, critical limb ischemia, osteomyelitis, and ulcer. We built three Cox proportional hazards models for clinical outcomes and mortality, and three regression models with a log-link function and gamma distribution for healthcare costs, all with propensity-score weighting and covariates. We identified 1,222,436 eligible individuals. After adjustment, new users of SGLT-2 inhibitors were associated with 73% lower mortality compared to those of DPP-4 inhibitors or users of older agents, while 36% lower total costs against those of GLP-1 agonists. However, there was no statistically significant difference in the risk of lower extremity amputation across medication groups. Our study suggested that SGLT-2 inhibitors is associated with lower mortality compared to DPP 4 inhibitors and lower costs compared to GLP-1 agonists.

Optimal Hospital and Surgeon Volume Thresholds to Improve 30-Day Readmission Rates, Costs, and Length of Stay for Total Hip Replacement.

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.