Identifying periods of acceptable computer usage in primary care research databases
Identifying periods of acceptable computer usage in primary care research databases
复制标题
DOI：
10.1002/pds.3368
复制
发表时间：
2013-01-01
影响因子：
2.6
通讯作者：
Petersen, Irene
中科院分区：
文献类型：
--
作者：
Horsfall, Laura;Walters, Kate;Petersen, Irene
目的研究在初级保健研究数据库中应用不同数据质量过滤器对疾病发病率和处方趋势的影响，并验证一种定义适当计算机使用时间的新方法。方法可接受计算机使用（ACU）定义为全科医师每年平均连续输入至少两份治疗记录、一份医疗记录和一份额外健康数据记录的年份。在包含英国患者记录的健康改善网络（THIN）初级保健数据库中，使用该日期对一系列结果（抗生素处方、心肌梗死、结肠癌、肺癌）的发生率的影响与其他确定患者随访开始的方法进行了比较。将随访开始日期的各种组合应用于数据以计算发病率：(i)登记日期，（ii）实践计算机化日期，（iii）可接受死亡率记录（AMR） （iv） ACU。结果ACU发病时间比AMR发病时间晚3.3年。单独或联合应用AMR或ACU日期产生的发病率趋势比使用执业注册年份或计算机化更能与外部数据源相比较。估计的发病率对确定早期开始日期的不同方法高度敏感。结论采用最新的AMR和ACU数据有助于提高THIN资料的完整性。版权所有：John Wiley & Sons， Ltd
Purpose To examine the effect of applying different data quality filters on the incidence of disease and prescribing trends over time in a primary care research database and validate a new method for defining periods of adequate computer usage.Methods Acceptable computer usage (ACU) was defined as the year in which a general practice was continuously entering on average at least two therapy records, one medical record and one additional health data record per patient per year. The effect of using this date on the incidence of a range of outcomes (antibiotic prescriptions, myocardial infarction, colon cancer, lung cancer) over time was compared with other methods for defining the start of patient follow-up in The Health Improvement Network (THIN) primary care database containing UK patient records. Various combinations of the follow-up start dates were applied to the data to calculate incidence rates: (i) registration date, (ii) practice computerization date, (iii) acceptable mortality recording (AMR) (iv) ACU.Results On average, the ACU date was 3.3 years after the AMR date. Applying the AMR or ACU dates separately or in combination produced trends in incidence rates more comparable with external data sources than using the year of practice registration or computerization. The estimated incidence rates were highly sensitive to different methods of defining start date in early time periods.Conclusions Using the latest of AMR and ACU dates is useful for improving the integrity of THIN data. Copyright (C) 2012 John Wiley & Sons, Ltd.