Clinical use of intravenous immunoglobulin in Taiwan: A 10-year population study.

Intravenous immunoglobulin (IVIG) is used in the treatment of immunological, inflammatory and neurological conditions. We aimed to describe the trends in IVIG utilization in Taiwan. We identified patients receiving IVIG through the national health insurance (NHI) database. We described the distribution of IVIG use according to main indications. During 2008-2017, IVIG distribution grew 10% per year on average. The population IVIG dose was 8.0 g per thousand capita. Among the total distribution, approximately 60% were NHI-reimbursed. Pediatrics (52.3%), rheumatology (14.0%) and hematology/oncology (11.4%) accounted for the top three services in terms of IVIG consumption. Primary and secondary immune deficiency (29.8%), Kawasaki disease (20.5%) and thrombocytopenia (16.8%) were the top three indications. Neurological conditions only accounted for 3%. In brief, unlike countries with high population use, the proportion of reimbursed IVIG used for neurological conditions was low. Further studies on self-paid IVIG use is needed to completely understand utilization in Taiwan.

Optimal collecting policy for apheresis platelets in a regional blood center.

BACKGROUND AND OBJECTIVES: Planning platelet collection and inventory must rely not only on adequate forecasts of transfusion demand but also sophisticated mathematical modeling techniques. This research aims to develop a better demand forecasting model of apheresis platelets and a mathematical programming model to determine the best target amounts of apheresis platelet collection. MATERIALS AND METHODS: Time series data of apheresis platelets collected from donors and platelets supplied to hospitals daily in Taipei Blood Center from January 2014 to December 2015 was used to fit a forecasting model which combines a regression-type model for formulating the deterministic trends and seasonal variation and an autoregressive moving average model (ARMA) for explaining remaining serial correlations. A seasonal autoregressive integrated moving average (SARIMA) model was also used for benchmarking the prediction performance. A linear programming model was then formulated to solve for the optimal daily target collection volumes that maximize the total social benefits. RESULTS: The time series model achieved good predictive power with a mean absolute percentage error less than 10%. The appropriateness of the proposed target collection volumes was also verified by using a simulation model, and the proportion of the total platelets requested by hospitals that can be filled by collected apheresis platelets can increase significantly by using the new policy. CONCLUSION: The methods proposed in this study can be easily implemented to enhance the management efficiency of blood collecting and supplying of a blood center, and to decrease the costs of the blood outdates and shortages.