Abstract

Objective

Wrong drug product errors occurring in community pharmacies often originate at the transcription stage. Electronic prescribing and automated product selection are strategies to reduce product selection errors. However, it is unclear how often automated product selection succeeds in outpatient pharmacy platforms.

Materials and Methods

The intake of over 800 e-prescriptions was observed at baseline and after intervention to assess the rate of automated product selection success. A dispensing accuracy audit was performed at baseline and postintervention to determine whether enhanced automated product selection would result in greater accuracy; data for both analyses were compared by 2x2 Chi square tests. In addition, an anonymous survey was sent to a convenience sample of 60 area community pharmacy managers.

Results

At baseline, 79.8% of 888 e-prescriptions achieved automated product selection. After the intervention period, 84.5% of 903 e-prescriptions achieved automated product selection (P = .008). Analysis of dispensing accuracy audits detected a slight but not statistically significant improvement in accuracy rate (99.3% versus 98.9%, P = .359). Fourteen surveys were returned, revealing that other community pharmacies experience similar automated product selection failure rates.

Discussion

Our results suggest that manual product selection by pharmacy personnel is required for a higher than anticipated proportion of e-prescriptions received and filled by community pharmacies, which may pose risks to both medication safety and efficiency.

Conclusion

The question of how to increase automated product selection rates and enhance interoperability between prescriber and community pharmacy platforms warrants further investigation.

中文翻译：

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评估电子处方和社区药房平台之间传输的自动化产品选择成功率

摘要

客观的

社区药房中发生的错误药品错误通常起源于转录阶段。电子处方和自动化产品选择是减少产品选择错误的策略。然而，目前尚不清楚自动化产品选择在门诊药房平台上成功的频率。

材料和方法

在基线和干预后观察了 800 多个电子处方的摄入量，以评估自动产品选择的成功率。在基线和干预后进行分配准确性审核，以确定增强的自动化产品选择是否会导致更高的准确性；两种分析的数据通过 2x2 卡方检验进行比较。此外，还向 60 名地区社区药房经理的便利样本发送了一项匿名调查。

结果

在基线时，888 个电子处方中有 79.8% 实现了自动产品选择。干预期过后，903 个电子处方中有 84.5% 实现了自动产品选择 ( P  =  .008)。对配药准确度审核的分析发现准确率有轻微但没有统计学意义的提高（99.3% 对 98.9%，P  =  .359）。返回了 14 份调查，表明其他社区药房也有类似的自动产品选择失败率。

讨论

我们的结果表明，社区药房收到和填写的电子处方比例高于预期，需要药房人员手动选择产品，这可能对用药安全和效率构成风险。

结论

如何提高自动产品选择率并增强处方者和社区药房平台之间的互操作性的问题值得进一步研究。