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題 名 | 總額支付制度下個別醫院醫療費用預測模型建立--以某教學醫院為例=Healthcare Expenditure Forecast Model for a Global Budget System--A Case Study in a Teaching Hospital |
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作 者 | 嚴玉華; 許碩芬; 方世杰; 孫緒媛; | 書刊名 | 澄清醫護管理雜誌 |
卷 期 | 5:2 2009.04[民98.04] |
頁 次 | 頁15-21 |
分類號 | 419.45 |
關鍵詞 | 總額支付制度; 時間序列分析; 住院醫療費用; Global budgets system; Time-series analysis; Inpatient healthcare expenditure; |
語 文 | 中文(Chinese) |
中文摘要 | 目的:建構個案醫院全民健康保險住院醫療費用 變動時間序列預測模式,期能在健保局實 施之管控措施下,亦能有效控制醫療費用 及預測醫療費用成長及洽定個別醫院較佳 之醫療費用預算。 材料與方法:分析個案醫院2002年7月至2007年6 月全民健康保險住院醫療費用、醫 師人數及病床數資料。結果:整體 模型以住院人次、住院天數及平均 住院天數對當期醫療費用的成長有 顯著的成長,達到p<0.05顯著水準。 結論:以時間序列預測模式個別醫院住院醫療費 用成長趨勢,可促使個別醫院與健保局協 議前能預測己身醫療費用成長情形,以洽 定較佳之醫療費用目標點數。 |
英文摘要 | Objective: This purpose of this study is to establish an Auto-regressive Integrated Moving Average Model for hospitals to use to control and predict the growth of inpatient healthcare expenditures in a global budget system. With the forecast model, the individual hospital can have a better understanding of its target budget during negotiations with the Bureau of National Health Insurance. Material and Methods: Data on inpatient heaZthcare expenditures, number of physicians, and sick beds were collected from July 2002 to June 2007 for the case hospital.[By“sick beds" do you mean“occupied beds" or “numberof patients". If this is for a western audience, occupied beds or number of patients requiring care would be more understandable.} Results: Implementing the model for inpatient hospital days, length of stay and average length of stay achieved significant results for each (P<0.05). Conclusion: The individual hospital can use the time-series model to predict the growth trends of inpatient healthcare expenditures before negotiating the target budget with the Bureau of National Health Insurance. Improved knowledge in negotiations will provide a more accurate and realistic budget. |
本系統中英文摘要資訊取自各篇刊載內容。