Buising Kirsty L, Thursky Karin A, Black James F, MacGregor Lachlan, Street Alan C, Kennedy Marcus P, Brown Graham V
Victorian Infectious Diseases Service, The Royal Melbourne Hospital, Parkville, Victoria 3050, Australia.
BMC Med Inform Decis Mak. 2008 Jul 31;8:35. doi: 10.1186/1472-6947-8-35.
The ideal method to encourage uptake of clinical guidelines in hospitals is not known. Several strategies have been suggested. This study evaluates the impact of academic detailing and a computerised decision support system (CDSS) on clinicians' prescribing behaviour for patients with community acquired pneumonia (CAP).
The management of all patients presenting to the emergency department over three successive time periods was evaluated; the baseline, academic detailing and CDSS periods. The rate of empiric antibiotic prescribing that was concordant with recommendations was studied over time comparing pre and post periods and using an interrupted time series analysis.
The odds ratio for concordant therapy in the academic detailing period, after adjustment for age, illness severity and suspicion of aspiration, compared with the baseline period was OR = 2.79 [1.88, 4.14], p < 0.01, and for the computerised decision support period compared to the academic detailing period was OR = 1.99 [1.07, 3.69], p = 0.02. During the first months of the computerised decision support period an improvement in the appropriateness of antibiotic prescribing was demonstrated, which was greater than that expected to have occurred with time and academic detailing alone, based on predictions from a binary logistic model.
Deployment of a computerised decision support system was associated with an early improvement in antibiotic prescribing practices which was greater than the changes seen with academic detailing. The sustainability of this intervention requires further evaluation.
目前尚不清楚鼓励医院采用临床指南的理想方法。已经提出了几种策略。本研究评估学术指导和计算机化决策支持系统(CDSS)对社区获得性肺炎(CAP)患者临床医生处方行为的影响。
对连续三个时间段内急诊科所有就诊患者的管理情况进行评估;包括基线期、学术指导期和CDSS期。通过比较前后时期并使用间断时间序列分析,研究与建议相符的经验性抗生素处方率随时间的变化情况。
在对年龄、疾病严重程度和误吸怀疑程度进行调整后,与基线期相比,学术指导期的一致性治疗优势比为OR = 2.79 [1.88, 4.14],p < 0.01;与学术指导期相比,计算机化决策支持期的优势比为OR = 1.99 [1.07, 3.69],p = 0.02。在计算机化决策支持期的头几个月,抗生素处方的适宜性有所改善,根据二元逻辑模型的预测,这种改善大于仅随时间推移和学术指导所预期的改善。
计算机化决策支持系统的部署与抗生素处方实践的早期改善相关,这种改善大于学术指导所带来的变化。这种干预措施的可持续性需要进一步评估。