Hassey A, Gerrett D, Wilson A
Fisher Medical Centre, Millfields, Skipton BD23 1EU.
BMJ. 2001 Jun 9;322(7299):1401-5. doi: 10.1136/bmj.322.7299.1401.
To develop methods of measuring the validity and utility of electronic patient records in general practice.
A survey of the main functional areas of a practice and use of independent criteria to measure the validity of the practice database.
A fully computerised general practice in Skipton, north Yorkshire.
The records of all registered practice patients.
Validity of the main functional areas of the practice clinical system. Measures of the completeness, accuracy, validity, and utility of the morbidity data for 15 clinical diagnoses using recognised diagnostic standards to confirm diagnoses and identify further cases. Development of a method and statistical toolkit to validate clinical databases in general practice.
The practice electronic patient records were valid, complete, and accurate for prescribed items (99.7%), consultations (98.1%), laboratory tests (100%), hospital episodes (100%), and childhood immunisations (97%). The morbidity data for 15 clinical diagnoses were complete (mean sensitivity=87%) and accurate (mean positive predictive value=96%). The presence of the Read codes for the 15 diagnoses was strongly indicative of the true presence of those conditions (mean likelihood ratio=3917). New interpretations of descriptive statistics are described that can be used to estimate both the number of true cases that are unrecorded and quantify the benefits of validating a clinical database for coded entries.
This study has developed a method and toolkit for measuring the validity and utility of general practice electronic patient records.
开发用于衡量电子病历在全科医疗中有效性和实用性的方法。
对一家诊所的主要功能领域进行调查,并使用独立标准来衡量诊所数据库的有效性。
北约克郡斯基普顿一家完全计算机化的全科诊所。
该诊所所有注册患者的病历。
诊所临床系统主要功能领域的有效性。使用公认的诊断标准来确认诊断并识别更多病例,以此衡量15种临床诊断的发病数据的完整性、准确性、有效性和实用性。开发一种方法和统计工具包,以验证全科医疗中的临床数据库。
该诊所的电子病历在处方项目(99.7%)、会诊(98.1%)、实验室检查(100%)、住院病历(100%)和儿童免疫接种(97%)方面是有效、完整且准确的。15种临床诊断的发病数据是完整的(平均敏感度=87%)且准确的(平均阳性预测值=96%)。这15种诊断的Read编码的存在强烈表明这些病症确实存在(平均似然比=3917)。描述了描述性统计的新解释,可用于估计未记录的真实病例数,并量化验证编码条目的临床数据库的益处。
本研究开发了一种方法和工具包,用于衡量全科医疗电子病历的有效性和实用性。