Objective-To evaluate the costs and benefits of alternative systems of coro
nary heart disease monitoring in Scotland.
Design-An option appraisal was conducted to evaluate the costs and benefits
of implementing a coronary heart disease monitoring system. This involved
a review of existing Scottish datasets and relevant reports, specification
of options, definition and weighting of benefit criteria by key stakeholder
s, assessment of options by experts, and costing of options. The options we
re assessed by 33 stakeholders (grouped as cardiologists, patient represent
atives, general practitioners, public health physicians, and policy makers)
, plus 13 topic experts.
Setting-Scotland (population 5.1 million).
Results-Between group mean benefit weights were: mortality rates and case f
atality (10.6), quality of life (9.8), patient function (8.8), hospital act
ivity (7.8), primary care activity (9.25), prescribing (5.72), socioeconomi
c impact (4.0), risk factors (7.4), prevalence (5.0), incidence (6.0), case
registration (6.82), international comparability (4.2), breadth of coverag
e (8.8), and frequency (5.8). Differences between group weights were signif
icant for prevalence (p = 0.048) and international comparability (p = 0.032
). Four monitoring options were identified: a community epidemiology, model
, based on MONICA (monitoring trends and determinants in cardiovascular dis
ease) study methodology applied to a series of eight representative communi
ties, had the highest benefits, at an average annual discounted cost of app
roximately pound 360 000; models based on the Australian cardiovascular dis
ease monitoring scheme and on enhanced routine data offered fewer benefits
at discounted average annual costs ranging from pound 165 000 to pound 195
000; finally, a coronary heart disease registry modelled on the Scottish Ca
ncer Registry scheme would have had fewer benefits and substantially higher
costs than the other options.
Conclusions-The most beneficial coronary heart disease monitoring system is
the community epidemiology model, based on MONICA methodology. Option appr
aisal potentially offers an explicit and transparent methodology for eviden
ce based policy development.