Maurer C, Lecointre K, Cachin N, Latawiec K, Ouadfel F, Lahmek P, Fauvelle F, Piquet J
Service de Pneumologie, Centre Hospitalier Le Raincy-Montfermeil, Montfermeil.
Rev Mal Respir. 2003 Jun;20(3 Pt 1):355-63.
Adverse drug effects are a significant public health problem. Prescription errors are responsible for a significant proportion of these adverse effects.
We have aimed to improve the link between generation of and interpretation of a prescription through computerisation. The prescription sheet, which is generated daily, was organised to allow care planning without the need to re-copy out treatments on the sheet. A prescription aid was available which was based on a core group of drugs commonly used in our respiratory service. The aim of the study was to compare the various types of errors observed during 6 weeks of computerized prescriptions (229 files) to a retrospective series of handwritten prescriptions of the service at an identical time (184 files) the previous year. The case-mix was identical for both analysed periods.
The total number of technical prescribing errors in the 1,599 handwritten lines (49.27% error) was significantly higher (p<0.001) than the 1,805 computerized prescriptions lines (42.88% error). The errors of copying (p<0.001), eligibility (p<0.001) and incorrect spelling (p<0.05) were the main sources of error which were significantly reduced by computerisation.
Computerised prescription is likely to reduce the incidence of prescribing errors and adverse drug effects.
药物不良反应是一个重大的公共卫生问题。处方错误在这些不良反应中占很大比例。
我们旨在通过计算机化改善处方生成与解读之间的联系。每日生成的处方单经过整理，以便在无需重新抄写治疗信息的情况下进行护理规划。提供了一种基于我们呼吸科常用的一组核心药物的处方辅助工具。该研究的目的是将6周内计算机化处方（229份档案）中观察到的各类错误与上一年同期该科室手写处方的回顾性系列（184份档案）进行比较。两个分析时间段的病例组合相同。
1599行手写处方中的技术处方错误总数（错误率49.27%）显著高于1805行计算机化处方中的错误总数（错误率42.88%）（p<0.001）。抄写错误（p<0.001）、适用性错误（p<0.001）和拼写错误（p<0.05）是主要的错误来源，计算机化显著减少了这些错误。
计算机化处方可能会降低处方错误和药物不良反应的发生率。
