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用于解释和预测医疗工作量的模型:其在计算每次会诊至少有十分钟时间的最大家庭医学清单中的应用

[Models to explain and predict medical case-loads: their use in calculating the maximum family medicine list that allows at least ten minutes per consultation].

作者信息

Brugos Larumbe A, Guillén Grima F, Mallor Giménez F, Fernández Martínez de Alegría C

机构信息

Centro de Salud Villava-Arre. Navarra. España.

出版信息

Aten Primaria. 2003 Jun 15;32(1):23-9. doi: 10.1016/s0212-6567(03)78853-2.

Abstract

OBJECTIVE

To calculate the maximum family medicine list that gives at least ten minutes per consultation.Design. Transversal.

SETTING

Three health centres.

SUBJECTS

45 826 inhabitants.

MEASUREMENTS

We used the appointments made at three centres to calculate the annual time employed per patient and we adjusted it to allocate a minimum of ten minutes per consultation. We established a cubic regression model to predict the mean case-load per age of patient in general medicine and calculated the maximum list if 70% of the working day were dedicated to care. The results contrasted two centres with greater nursing involvement and one with less. We showed the R2 coefficients. We calculated the maximum lists for the health centres of Navarra and showed them in five clusters worked out on the basis of the percentage of patients >=65.

RESULTS

Age explained 86.1% of variability in mean case-load at each age (84% in children and 93.5% in adults). According to the mean percentage of those >=65 years old, the average maximum lists for centres with more or less nursing involvement are as follows: 7.0%>=65 (2025 and 1989); 14.0% (1834 and 1715); 21.2% (1691 and 1558); 27.0% (1648 and 1460), 34.0% (1560 and 1340).

CONCLUSION

To a great extent, age explains the variability in case-load and lets us calculate the maximum number of patients on the list that still ensures a minimum time for each consultation.

摘要

目的

计算每次诊疗至少有十分钟的最大家庭医学患者名单。设计:横断面研究。

设置

三个健康中心。

研究对象

45826名居民。

测量方法

我们利用三个中心的预约情况来计算每位患者每年的就诊时间,并进行调整以确保每次诊疗至少有十分钟。我们建立了一个三次回归模型来预测普通内科中每个年龄段患者的平均工作量,并计算出如果将70%的工作日用于诊疗时的最大患者名单。结果对比了两个护理参与度较高的中心和一个护理参与度较低的中心。我们展示了R2系数。我们计算了纳瓦拉健康中心的最大患者名单,并根据65岁及以上患者的百分比将其分为五组展示出来。

结果

年龄解释了各年龄段平均工作量变异的86.1%(儿童为84%,成人为93.5%)。根据65岁及以上患者的平均百分比,护理参与度较高或较低的中心的平均最大患者名单如下:65岁及以上患者占7.0%(分别为2025人和1989人);14.0%(分别为1834人和1715人);21.2%(分别为1691人和1558人);27.0%(分别为1648人和1460人);34.0%(分别为1560人和1340人)。

结论

在很大程度上,年龄解释了工作量的变异,并使我们能够计算出既能确保每次诊疗有最短时间又能在名单上的最大患者数量。

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