Vaziri Arash, Connor Eric, Shepherd Ian, Jones Robert Treharne, Chan Tom, de Lusignan Simon
St George's, University of London, London SW17 0RE, UK.
Inform Prim Care. 2009;17(3):175-82. doi: 10.14236/jhi.v17i3.732.
Prescribing errors are common and costly. Technology should enable safer prescribing. The two main current methods of doing so are computer initiated clinical support software (CDSS) and the user initiated information retrieval (IR) systems. However, despite the near universal availability of computerised prescribing support in the UK, errors continue.
To evaluate the experience of UK primary health care professionals using CDSS and to consolidate current technical opinion and literature in this area with the aim of creating useful hypotheses for guiding future academic investigation and industrial development.
The study was a synthesis, drawing together a literature review and views from experts in the field to explore from a qualitative perspective where and how CDSS and IR could be used to improve prescribing safety in primary care. We conducted a literature review, held a workshop to explore issues in practice and had a follow-up expert panel meeting to confirm the findings. The workshop was recorded, transcribed verbatim and analysed thematically.
The study involved primary care practitioners, system developers, information suppliers and academics.
Although CDSS is incorporated into primary care electronic patient record systems there does not appear to be an associated marked reduction in prescribing errors. Clinicians are frustrated with current systems, and are concerned these may have a negative impact on patients. There is an unhelpful signal-noise ratio with too many clinically irrelevant alerts and insufficient recognition of the potential downsides of over alerting - possibly making compliance less likely, having a negative impact on the doctor-patient relationship and overloading clinicians. A preferred way forward would be alerts based on quantitative risk assessment of interaction at the level of the preparations being prescribed, rather than theoretical possibilities of interactions between classes of drugs.
Prescribing errors remain a major source of unnecessary morbidity and mortality and current systems do not appear to have significantly reduced this problem; nor has the extensive literature about how to reduce unnecessary alerts been taken into account. We need a new and more rational basis for the selection and presentation of alerts that would help, not hinder, the clinician's performance.
处方错误很常见且代价高昂。技术应能实现更安全的处方开具。当前主要的两种实现方式是计算机启动的临床支持软件(CDSS)和用户启动的信息检索(IR)系统。然而,尽管在英国计算机化处方支持几乎已普遍可用,但错误仍在继续。
评估英国初级医疗保健专业人员使用CDSS的体验,并整合该领域当前的技术观点和文献,旨在提出有用的假设以指导未来的学术研究和产业发展。
该研究是一项综合研究,汇集了文献综述和该领域专家的观点,从定性角度探讨CDSS和IR可在何处以及如何用于提高初级医疗保健中的处方安全性。我们进行了文献综述,举办了一次研讨会以探讨实践中的问题,并召开了一次后续专家小组会议以确认研究结果。研讨会进行了录音,逐字转录并进行了主题分析。
该研究涉及初级医疗保健从业者、系统开发者、信息供应商和学者。
尽管CDSS已被纳入初级医疗保健电子病历系统,但处方错误似乎并未显著减少。临床医生对当前系统感到沮丧,并担心这些系统可能会对患者产生负面影响。存在无益的信噪比问题,即临床无关警报过多,对过度警报的潜在不利影响认识不足——这可能降低依从性,对医患关系产生负面影响并使临床医生负担过重。一种更好的前进方向是基于对所开具制剂层面相互作用的定量风险评估发出警报,而不是基于药物类别之间相互作用的理论可能性。
处方错误仍然是不必要的发病和死亡的主要来源,当前系统似乎并未显著减少这一问题;关于如何减少不必要警报的大量文献也未得到考虑。我们需要一个新的、更合理的警报选择和呈现基础,这将有助于而非阻碍临床医生的工作表现。