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目的采用数据包络分析(data envelopment analysis,DEA)模型评价军队综合性医院的技术效率和规模效率,对医院床位适宜规模进行实证研究。方法收集40家军队综合性医院2001~2010年人员、设备、资产、医疗服务量等投入产出指标,运用DEA的BCC(Banker,Charnes and Cooper)模型分析两组不同产出指标的样本医院规模收益状态,统计不同规模收益情况下的医院床位数。结果两组分析结果均显示,规模收益递増(IRS)的医院平均床位约为790张,规模收益不变(CRS)的平均床位分别为1015和1098张,规模收益递减(DRS)的平均床位与收益不变的床位相似,不同规模收益状态之间均有显著性差异。结论床位规模在1000张左右的样本医院规模收益不变,可通过建立切实可行的分级诊疗和双向转诊制度促使医院的床位达到适宜规模。
Objective To evaluate the technical efficiency and scale efficiency of military comprehensive hospitals by using data envelopment analysis (DEA) model, and make an empirical study on the suitable scale of hospital beds. Methods The input and output indicators such as personnel, equipment, assets and medical services were collected from 40 military general hospitals from 2001 to 2010, and the sample hospital scale of two sets of different output indicators was analyzed by DEA’s BCC (Banker, Charnes and Cooper) model Income status, statistics of different scale revenue hospital beds. Results The results of the two groups showed that the average bed size of hospitals with scale-of-return (IRS) was about 790, and the average bed size of CRS was 1015 and 1098 respectively. The average bed size of diminishing returns (DRS) Similar to the beds with the same income, there are significant differences between the returns of different scales. Conclusion The scale of hospital beds with a sample size of 1000 beds remains the same, and the hospital beds can be brought to an appropriate scale through the establishment of practical grading and two-way referral systems.