Health Sciences Research Institute, University of Warwick, Coventry.
Br J Gen Pract. 2010 Apr;60(573):e137-43. doi: 10.3399/bjgp10X483904.
Primary care databases contain cardiovascular disease risk factor data, but practical tools are required to improve identification of at-risk patients.
To test the effects of a system of electronic reminders (the 'e-Nudge') on cardiovascular events and the adequacy of data for cardiovascular risk estimation.
Randomised controlled trial.
Nineteen general practices in the West Midlands, UK.
The e-Nudge identifies four groups of patients aged over 50 years on the basis of estimated cardiovascular risk and adequacy of risk factor data in general practice computers. Screen messages highlight individuals at raised risk and prompt users to complete risk profiles where necessary. The proportion of the study population in the four groups was measured, as well as the rate of cardiovascular events in each arm after 2 years.
Over 38 000 patients' electronic records were randomised. The intervention led to an increase in the proportion of patients with sufficient data who were identifiably at risk, with a difference of 1.94% compared to the control group (95% confidence interval [CI] = 1.38 to 2.50, P<0.001). A corresponding reduction occurred in the proportion potentially at risk but requiring further data for a risk estimation (difference = -3.68%, 95% CI = -4.53 to -2.84, P<0.001). No significant difference was observed in the incidence of cardiovascular events (rate ratio = 0.96, 95% CI = 0.85 to 1.10, P = 0.59).
Automated electronic reminders using routinely collected primary care data can improve the adequacy of cardiovascular risk factor information during everyday practice and increase the visibility of the at-risk population.
初级保健数据库包含心血管疾病风险因素数据,但需要实用工具来提高识别高危患者的能力。
测试电子提醒系统(“电子提示”)对心血管事件和心血管风险评估数据充足性的影响。
随机对照试验。
英国西米德兰兹郡的 19 家全科诊所。
电子提示根据一般实践计算机中估计的心血管风险和风险因素数据的充分性,确定了四组年龄超过 50 岁的患者。屏幕消息突出显示处于高风险的个体,并在必要时提示用户完成风险概况。测量了研究人群在四组中的比例,以及每组两年后心血管事件的发生率。
对超过 38000 名患者的电子记录进行了随机分组。干预措施导致有足够数据且可识别为高危的患者比例增加,与对照组相比差异为 1.94%(95%置信区间[CI]为 1.38 至 2.50,P<0.001)。潜在的风险但需要进一步的数据进行风险评估的患者比例相应减少(差异=-3.68%,95%CI=-4.53 至-2.84,P<0.001)。心血管事件的发生率无显著差异(率比=0.96,95%CI=0.85 至 1.10,P=0.59)。
使用常规收集的初级保健数据进行自动化电子提醒可以提高日常实践中心血管风险因素信息的充分性,并增加高危人群的可见性。