A self-administered questionnaire for detection of unrecognised coronary heart disease

James D. Cameron, Garry L. Jennings, Sally Kay, Sudhir Wahi, Kristina E. Bennett, Christopher Reid, Anthony M. Dart

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

On an individual and a population basis, an increased incidence of coronary heart disease is associated with classical cardiovascular risk factors, but many cases occur in people not identified as at high risk. Conversely, many people at high statistical risk do not develop coronary disease. We used a questionnaire to identify unrecognised coronary heart disease in people attending large-scale health survey centres. Participants were required to report the presence and characteristics of any chest pain. Those returning responses consistent with myocardial ischaemia were offered treadmill exercise ECG tests. Over 18 months, 4070 questionnaires were returned. Of 475 respondents offered testing, 229 (198 male, 131 female) accepted. Thirty-two subjects (15 male, 17 female: a detection rate of 13.9 per cent of those assessed as likely on questionnaire, or 0.8 per cent of all respondents) had results consistent with significant coronary heart disease. Follow-up was available in 30 cases. There was no difference in classical risk-factor distribution (including multivariate risk percentiles: 42.4 (male) and 46.7 (female)) between those newly diagnosed with coronary heart disease and their community counterparts. More women than men were identified as suffering from unrecognised coronary heart disease, with a preponderance of younger women. Cost per case identified was A$1220. Screening by self-administered questionnaire is a useful and relatively cost-effective means of identifying unrecognised coronary heart disease.

Original languageEnglish
Pages (from-to)545-547
Number of pages3
JournalAustralian and New Zealand Journal of Public Health
Volume21
Issue number5
DOIs
Publication statusPublished - 1997
Externally publishedYes

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