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Identifying patients with ischaemic heart disease in general practice: cross sectional study of paper and computerised medical records.


ABSTRACT: OBJECTIVES:To identify patients with ischaemic heart disease by using a practice computer and to estimate the work required to do so. DESIGN:Cross sectional study. Data from the notes and from the computer records of 1680 patients were used to build a database. This was used to compare different methods of identifying patients with ischaemic heart disease. SETTING:11 general practices in the Battersea primary care group in south London. SUBJECTS:1 in 40 random sample of patients aged 45 or older. MAIN OUTCOME MEASURES:Numbers of patients identified with ischaemic heart disease. RESULTS:The combination of the Read code for ischaemic heart disease (G3) and a prescription for a nitrate had a 73% sensitivity and a yield (100/positive predictive value) of one case of ischaemic heart disease for every 1.2 sets of notes reviewed. By searching the records of patients also receiving aspirin, atenolol, digoxin, or a statin, the sensitivity was increased to 96% but the yield fell to one in three. CONCLUSION:Although commonly used to identify cases, a computer search for G3 code or nitrate missed almost 30% of patients with ischaemic heart disease. A substantially higher percentage of patients can be identified by adding other drugs to the search strategy.

SUBMITTER: Gray J 

PROVIDER: S-EPMC27471 | biostudies-literature | 2000 Sep

REPOSITORIES: biostudies-literature

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Identifying patients with ischaemic heart disease in general practice: cross sectional study of paper and computerised medical records.

Gray J J   Majeed A A   Kerry S S   Rowlands G G  

BMJ (Clinical research ed.) 20000901 7260


<h4>Objectives</h4>To identify patients with ischaemic heart disease by using a practice computer and to estimate the work required to do so.<h4>Design</h4>Cross sectional study. Data from the notes and from the computer records of 1680 patients were used to build a database. This was used to compare different methods of identifying patients with ischaemic heart disease.<h4>Setting</h4>11 general practices in the Battersea primary care group in south London.<h4>Subjects</h4>1 in 40 random sample  ...[more]

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