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计算机提醒对全科医生处方行为的影响:一项整群随机试验。

The effect of computer reminders on GPs' prescribing behaviour: a cluster-randomised trial.

作者信息

Martens J D, van der Weijden T, Severens J L, de Clercq P A, de Bruijn D P, Kester A D M, Winkens R A G

机构信息

Integrated Care Unit, University Hospital Maastricht, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands.

出版信息

Int J Med Inform. 2007 Dec;76 Suppl 3:S403-16. doi: 10.1016/j.ijmedinf.2007.04.005. Epub 2007 Jun 14.

Abstract

OBJECTIVE

It is difficult to control drug-prescribing behaviour in general practice, despite the development and distribution of guidelines. The purpose of this study was to assess the effect on drug-prescribing behaviour of implementing prescribing guidelines by means of a reactive computer reminder system (CRS).

DESIGN

Cluster-randomised controlled trial with an incomplete block design in the south of the Netherlands: 25 GPs (7 GP practices) received reminders about antibiotics and asthma/COPD prescriptions, 28 GPs (7 GP practices) received reminders about cholesterol prescriptions. Prescription guidelines were integrated into the computerised GP information system.

MEASUREMENTS

Both performance indicators and prescription volumes were calculated as the main outcome measures. Next to individual volume measure, sum scores were constructed on the volume measures per drug group (antibiotics, asthma/COPD and cholesterol).

RESULTS

Variation between GPs turned out to be larger and more skewed than expected. No differences between groups were found for indicators and volumes related to recommendations advocating certain drugs. Although there was a tendency towards clinically relevant results for prescription volumes that were supposed to drop, the difference in sum score between the groups was not significant. For antibiotic prescriptions that were supposed to drop, the sum score for the intervention group was 28.2 (95% CI: 20.8-44.5) prescriptions per 1000 patients per GP, while this was 39.7 (95% CI: 29.7-64.1) for the control group (p 0.2). For prescriptions asthma/COPD that were supposed to drop, the sum score for the intervention group was 1.1 (95% CI: 0.6-2.6) prescriptions per 1000 patients per GP, while this was 2.2 (95% CI: 1.4-4.3) for the control group (p 0.1). On three specific recommendations (on quinolones for cystitis, corticosteroids for CPOD, and antibiotics for acute sore throat) significant differences were found.

CONCLUSIONS

This study turned out to be underpowered due to high inter doctor variation in prescribing behaviour. Nevertheless, computerised reminders sometimes have a favourable effect on restricting certain drugs that are not or no longer indicated in general practice.

摘要

目的

尽管已经制定并分发了指南,但在全科医疗中控制药物处方行为仍很困难。本研究的目的是评估通过反应式计算机提醒系统(CRS)实施处方指南对药物处方行为的影响。

设计

在荷兰南部进行的一项采用不完全区组设计的整群随机对照试验:25名全科医生(7个全科医疗诊所)收到关于抗生素和哮喘/慢性阻塞性肺疾病(COPD)处方的提醒,28名全科医生(7个全科医疗诊所)收到关于胆固醇处方的提醒。处方指南被整合到计算机化的全科医生信息系统中。

测量

计算绩效指标和处方量作为主要结局指标。除了个体量度外,还根据每个药物组(抗生素、哮喘/COPD和胆固醇)的量度构建总分。

结果

事实证明,全科医生之间的差异比预期的更大且更不均衡。在与推荐某些药物相关的指标和量度方面,未发现组间差异。尽管对于本应减少的处方量,有朝着临床相关结果发展的趋势,但两组之间的总分差异并不显著。对于本应减少的抗生素处方,干预组每1000名患者中每位全科医生的总分是28.2(95%置信区间:20.8 - 44.5)张处方,而对照组为39.7(95%置信区间:29.7 - 64.1)张处方(p = 0.2)。对于本应减少的哮喘/COPD处方,干预组每1000名患者中每位全科医生的总分是1.1(95%置信区间:0.6 - 2.6)张处方,而对照组为2.2(95%置信区间:1.4 - 4.3)张处方(p = 0.1)。在三项具体建议(关于膀胱炎使用喹诺酮类药物、COPD使用皮质类固醇以及急性咽痛使用抗生素)方面发现了显著差异。

结论

由于医生处方行为的高度个体差异,本研究的效能不足。然而,计算机提醒有时对限制某些在全科医疗中不适用或不再适用的药物具有有利影响。

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