November 1, 1992Circulation
Identification of patients with coronary disease at high risk for loss of employment. A prospective validation study.
Why the study?
Can a multivariable model accurately predict premature departure from the workforce at 1 year in employed patients with coronary disease?
Population
1,252 coronary disease patients referred for diagnostic cardiac catheterization, age <65, employed, without…
Design
Cohort
Follow-up
1 year
Authors
Discussion
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Member takes
Implication
Should not yet change practice in coronary disease; leaves open prospective validation of socioeconomic predictors for workforce retention.
Structured PICO
Can a multivariable model accurately predict premature departure from the workforce at 1 year in employed patients with coronary disease?
P
Population
1,252 coronary disease patients referred for diagnostic cardiac catheterization, age <65, employed, without prior coronary angioplasty or coronary bypass surgery.
I
Intervention
Multivariable prediction model for 1-year work status
O
Outcome
1-year work status (premature departure from the work force)patient reported
A combination of medical, functional, and socioeconomic factors can accurately identify employed patients with coronary disease at high risk for premature departure from the workforce at 1 year.
Cite This Study
Mark et al. (1992) studied this question.