Johnson N, Mant D, Jones L, Randall T
Department of Public Health and Primary Care, University of Oxford.
BMJ. 1991 Mar 30;302(6779):763-5. doi: 10.1136/bmj.302.6779.763.
To assess the potential for using routine computerised general practice data for surveillance of illness.
Comparison of the incidence of influenza during the 1989 epidemic derived from a computerised database with that derived from the Royal College of General Practitioners's weekly returns service--a well established predominantly manual surveillance system.
433 general practices throughout the United Kingdom that used a commercial computer system linked to a central databank.
Incidence of influenza.
The slope of the influenza epidemic curve was essentially the same whether derived from the routine computerised data or royal college's weekly returns service data, and the computerised data were geographically consistent. Throughout the study period, however, the computer derived incidence was between one third and one quarter of that derived from the royal college's system (which is served by practitioners trained in surveillance methods). The peak weekly rates were 164 cases per 100,000 for the computerised system and 583 cases per 100,000 for the royal college's surveillance system.
The apparent underreporting in the routine computerised data probably reflects lack of motivation and experience in disease surveillance and haphazard computer entry (particularly of consultations that took place outside of the surgery and consultations that did not result in a prescription), along with overestimation of the population under surveillance. Nevertheless, routine computerised surveillance allows rapid data collection from a large number of practices over a wide geographical area and would greatly augment existing methods.
评估利用常规计算机化全科医疗数据进行疾病监测的潜力。
将从计算机化数据库得出的1989年流感流行期间的发病率与从皇家全科医师学院每周回报服务得出的发病率进行比较,皇家全科医师学院每周回报服务是一个既定的、主要靠人工操作的监测系统。
英国各地433家使用与中央数据库相连的商业计算机系统的全科医疗诊所。
流感发病率。
无论从常规计算机化数据还是从皇家学院的每周回报服务数据得出的流感流行曲线斜率基本相同,并且计算机化数据在地域上具有一致性。然而,在整个研究期间,计算机得出的发病率是从皇家学院系统得出的发病率的三分之一到四分之一(皇家学院系统由接受过监测方法培训的从业者提供数据)。计算机化系统的每周最高发病率为每10万人中有164例,皇家学院监测系统为每10万人中有583例。
常规计算机化数据中明显的报告不足可能反映出疾病监测方面缺乏积极性和经验以及随意的计算机录入(特别是在诊所外进行的会诊和未导致开处方的会诊),以及对监测人群的高估。尽管如此,常规计算机化监测能够在广泛的地理区域内从大量诊所快速收集数据,并且将极大地增强现有方法。