目的 评估全面质量管理(overall every control and clear,OEC)模式应用在医用耗材管理中的效果。方法 选取2023年7月—2024年6月天门市第一人民医院介入科的300份医用耗材管理数据进行研究。将2023年7—12月采用常规医用耗材管理模式的...目的 评估全面质量管理(overall every control and clear,OEC)模式应用在医用耗材管理中的效果。方法 选取2023年7月—2024年6月天门市第一人民医院介入科的300份医用耗材管理数据进行研究。将2023年7—12月采用常规医用耗材管理模式的150份医用耗材管理数据纳入对照组,将2024年1—6月采用OEC模式的150份医用耗材管理数据纳入观察组,2组管理人员相同。比较2组耗材管理时间、一次性计费正确率、出库完成率、不良事件发生率、医护人员满意度。结果 观察组医用耗材盘点时间、订单响应时间、验收上架时间、采购时间分别为(23.57±3.15)min、(5.09±1.03)h、(19.36±1.73)min、(14.32±1.60)min,均短于对照组的(39.33±6.89)min、(10.36±1.34)h、(33.33±6.68)min、(34.66±1.87)min,差异有统计学意义(P<0.001)。观察组医用耗材一次性计费正确率、出库完成率分别为98.00%、98.67%,均高于对照组的86.00%、86.67%,差异有统计学意义(P<0.001)。观察组医用耗材不良事件总发生率为1.33%,低于对照组8.00%,差异有统计学意义(P<0.05)。观察组医护人员对耗材管理的总满意度为100%,高于对照组的80.00%,差异有统计学意义(P<0.05)。结论 在医用耗材管理过程中采用OEC模式可以缩短耗材管理时间,提高耗材管理质量及效率,减少不良事件,医护人员满意度高。展开更多
Sunshine duration (S) based empirical equations have been employed in this study to estimate the daily global solar radiation on a horizontal surface (G) for six meteorological stations in Burundi. Those equations inc...Sunshine duration (S) based empirical equations have been employed in this study to estimate the daily global solar radiation on a horizontal surface (G) for six meteorological stations in Burundi. Those equations include the Ångström-Prescott linear model and four amongst its derivatives, i.e. logarithmic, exponential, power and quadratic functions. Monthly mean values of daily global solar radiation and sunshine duration data for a period of 20 to 23 years, from the Geographical Institute of Burundi (IGEBU), have been used. For any of the six stations, ten single or double linear regressions have been developed from the above-said five functions, to relate in terms of monthly mean values, the daily clearness index () to each of the next two kinds of relative sunshine duration (RSD): and . In those ratios, G<sub>0</sub>, S<sub>0 </sub>and stand for the extraterrestrial daily solar radiation on a horizontal surface, the day length and the modified day length taking into account the natural site’s horizon, respectively. According to the calculated mean values of the clearness index and the RSD, each station experiences a high number of fairly clear (or partially cloudy) days. Estimated values of the dependent variable (y) in each developed linear regression, have been compared to measured values in terms of the coefficients of correlation (R) and of determination (R<sub>2</sub>), the mean bias error (MBE), the root mean square error (RMSE) and the t-statistics. Mean values of these statistical indicators have been used to rank, according to decreasing performance level, firstly the ten developed equations per station on account of the overall six stations, secondly the six stations on account of the overall ten equations. Nevertheless, the obtained values of those indicators lay in the next ranges for all the developed sixty equations:;;;, with . These results lead to assert that any of the sixty developed linear regressions (and thus equations in terms of and ), fits very adequately measured data, and should be used to estimate monthly average daily global solar radiation with sunshine duration for the relevant station. It is also found that using as RSD, is slightly more advantageous than using for estimating the monthly average daily clearness index, . Moreover, values of statistical indicators of this study match adequately data from other works on the same kinds of empirical equations.展开更多
文摘目的 评估全面质量管理(overall every control and clear,OEC)模式应用在医用耗材管理中的效果。方法 选取2023年7月—2024年6月天门市第一人民医院介入科的300份医用耗材管理数据进行研究。将2023年7—12月采用常规医用耗材管理模式的150份医用耗材管理数据纳入对照组,将2024年1—6月采用OEC模式的150份医用耗材管理数据纳入观察组,2组管理人员相同。比较2组耗材管理时间、一次性计费正确率、出库完成率、不良事件发生率、医护人员满意度。结果 观察组医用耗材盘点时间、订单响应时间、验收上架时间、采购时间分别为(23.57±3.15)min、(5.09±1.03)h、(19.36±1.73)min、(14.32±1.60)min,均短于对照组的(39.33±6.89)min、(10.36±1.34)h、(33.33±6.68)min、(34.66±1.87)min,差异有统计学意义(P<0.001)。观察组医用耗材一次性计费正确率、出库完成率分别为98.00%、98.67%,均高于对照组的86.00%、86.67%,差异有统计学意义(P<0.001)。观察组医用耗材不良事件总发生率为1.33%,低于对照组8.00%,差异有统计学意义(P<0.05)。观察组医护人员对耗材管理的总满意度为100%,高于对照组的80.00%,差异有统计学意义(P<0.05)。结论 在医用耗材管理过程中采用OEC模式可以缩短耗材管理时间,提高耗材管理质量及效率,减少不良事件,医护人员满意度高。
文摘Sunshine duration (S) based empirical equations have been employed in this study to estimate the daily global solar radiation on a horizontal surface (G) for six meteorological stations in Burundi. Those equations include the Ångström-Prescott linear model and four amongst its derivatives, i.e. logarithmic, exponential, power and quadratic functions. Monthly mean values of daily global solar radiation and sunshine duration data for a period of 20 to 23 years, from the Geographical Institute of Burundi (IGEBU), have been used. For any of the six stations, ten single or double linear regressions have been developed from the above-said five functions, to relate in terms of monthly mean values, the daily clearness index () to each of the next two kinds of relative sunshine duration (RSD): and . In those ratios, G<sub>0</sub>, S<sub>0 </sub>and stand for the extraterrestrial daily solar radiation on a horizontal surface, the day length and the modified day length taking into account the natural site’s horizon, respectively. According to the calculated mean values of the clearness index and the RSD, each station experiences a high number of fairly clear (or partially cloudy) days. Estimated values of the dependent variable (y) in each developed linear regression, have been compared to measured values in terms of the coefficients of correlation (R) and of determination (R<sub>2</sub>), the mean bias error (MBE), the root mean square error (RMSE) and the t-statistics. Mean values of these statistical indicators have been used to rank, according to decreasing performance level, firstly the ten developed equations per station on account of the overall six stations, secondly the six stations on account of the overall ten equations. Nevertheless, the obtained values of those indicators lay in the next ranges for all the developed sixty equations:;;;, with . These results lead to assert that any of the sixty developed linear regressions (and thus equations in terms of and ), fits very adequately measured data, and should be used to estimate monthly average daily global solar radiation with sunshine duration for the relevant station. It is also found that using as RSD, is slightly more advantageous than using for estimating the monthly average daily clearness index, . Moreover, values of statistical indicators of this study match adequately data from other works on the same kinds of empirical equations.
