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Technology Assessment in the Framingham Heart Study

Published online by Cambridge University Press:  10 March 2009

Mark S. Roberts
Affiliation:
New England Deaconess Hospital and Harvard Medical School
Ralph B. D'agostino
Affiliation:
Boston University
Maureen Dillon
Affiliation:
Boston University
Patricia Odell
Affiliation:
Boston University

Abstract

To assess the role of observational data bases in technology assessment, we examined 26 articles from the Framingham Heart Study that evaluated a technology, therapy, or predictive instrument. These assessments were grouped into four categories: (a) the study of a technology voluntarily in use by the cohort, (b) the application of an external technology to members of the cohort, (c) the use of the Framingham results to evaluate an unrelated assessment, and (d) the use of the results to validate predictive instruments from other studies. Factors that contribute to the ability of the study to assess voluntary and external technologies include long-term follow-up, a stable cohort, and storage of such nonnumeric data as cardiograms and blood samples. Framingham results have been used to determine outcome measures in later studies. Although the Framingham Study was not designed to assess a technology, we found that large-scale, observational data bases can and do contribute to technology assessment.

Type
Special Section: The Contribution Of Medical Registries To Technology Assessment
Copyright
Copyright © Cambridge University Press 1991

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References

1.Castelli, W. P., Dawber, T. R., Feinleib, M., et al. The filter cigarette and coronary heart disease: The Framingham Study. Lancet, 1981, ii, 109–13.CrossRefGoogle Scholar
2.Corwin, L. I., Wolf, P. A., Kannel, W. B., & McNamara, P. M.Accuracy of death certification of stroke: The Framingham study. Stroke, 1982, 13, 818–21.CrossRefGoogle ScholarPubMed
3.D'Agostino, R. B., & Kannel, W. B. Epidemiological background and design: The Framingham study. Proceedings of the American Statistical Association, Sesquicentennial Invited Paper Session, 1989.Google Scholar
4.Diamond, G. A., Staniloff, H. M., Forrester, J. S., et al. Computer-assisted diagnosis in the noninvasive evaluation of patients with suspected coronary artery disease. Journal of the American College of Cardiology, 1983, 1, 444–45.CrossRefGoogle ScholarPubMed
5.Flannery, R. B. Jr.,, & Bowen, M. A.Concordance in the Framingham and Bortner Type A behavior scales: Preliminary inquiry. Psychological Reports, 1986, 59, 294.CrossRefGoogle ScholarPubMed
6.Gordon, T., & Kannel, W. B.Coronary heart disease, atherothrombotic brain infarction, intermittent claudication–a multivariate analysis of some factors related to their incidence. In Kannel, W. B. & Gordon, T. (eds.), The Framingham Study: An epidemiological investigation of cardiovascular disease, Section 27. Bethesda, MD: National Heart Institute, 1968.Google Scholar
7.Gordon, T., Kannel, W. T., McGee, D., & Dawber, T. R.Death and coronary attacks in men after giving up cigarette smoking. A report from the Framingham Study. Lancet, 1974, ii, 1345–48.CrossRefGoogle Scholar
8.Gore, J. M., Goldberg, R. J., Matsumoto, A. S., et al. Validity of serum total cholesterol level obtained within 24 hours of acute myocardial infarction. American Journal of Cardiology, 1984, 54, 722–25.CrossRefGoogle ScholarPubMed
9.Gresham, G. E., Phillips, T. F., & Labi, M. L. C.ADL status in stroke: Relative merits of three standard indexes. Archives of Physical and Medical Rehabilitation, 1980, 61, 355–58.Google ScholarPubMed
10.Haynes, S. G., Levine, S., Scotch, N., et al. The relationship of psychosocial factors to coronary heart disease in the Framingham Study. American Journal of Epidemiology, 1978, 107, 363401.CrossRefGoogle ScholarPubMed
11.Higgins, M. W., Keller, J. B., Landis, J. R., et al. Risk of chronic obstructive pulmonary disease: Collaborative assessment of the validity of the Tecumseh Index of Risk. American Review of Respiratory Diseases, 1984, 130, 380–85.Google ScholarPubMed
12.Kannel, W. B., Cupples, L. A., D'Agostino, R. B., & Stokes, J.Hypertension, antihypertensive treatment, and sudden coronary death. The Framingham Study. Hypertension, 1988, II(Suppl. II), II45II50.Google Scholar
13.MacDougall, J. M., Dembroski, T. M., & Musante, L.The structured interview and questionnaire methods of assessing coronary-prone behavior in male and female college students. Journal of Behavioral Medicine, 1979, 2, 7183.CrossRefGoogle ScholarPubMed
14.Madhavan, S., & Alderman, M. H.The potential effect of blood pressure reduction on cardiovascular disease. Archives of Internal Medicine, 1981, 141, 1583–86.CrossRefGoogle ScholarPubMed
15.McGeen, D.The probability of developing certain cardiovascular diseases in eight years at specified values of some characteristics. In Kannel, W. B. & Gordon, T. (eds.), The Framingham Study: An epidemiological investigation of cardiovascular disease, Section 28. Bethesda, MD: National Heart Institute, 1968.Google Scholar
16.Meininger, J. C.The validity of Type A behavior scales for employed women. Journal of Chronic Diseases, 1985, 38, 375–83.CrossRefGoogle ScholarPubMed
17.Nay, P. C., Kannel, W. B., Castelli, W. P., & McNamara, P. M.The Omnicardiogram.Study of a proposed method for detecting coronary artery disease in an asymptomatic population. Circulation, 1975, 51, 462–66.CrossRefGoogle Scholar
18.Nolewajka, A. J., Kostuk, W. J., Howard, J., et al. Thallium stress myocardial imaging: An evaluation of fifty-eight asymptomatic males. Clinical Cardiology, 1981, 4, 134–38.CrossRefGoogle ScholarPubMed
19.Oberman, A., Wassertheil-Smoller, S., Langford, H. G., et al. Pharmacologic and nutritional treatment of mild hypertension: Changes in cardiovascular risk. Annals of Internal Medicine, 1990, 112, 8995.CrossRefGoogle ScholarPubMed
20.Owen, C. A., Beard, E. F., Jackson, A. S., & Prior, B. W.Longitudinal evaluation of an exercise prescription intervention program with periodic ergometric testing: A ten-year appraisal. Journal of Occupational Medicine, 1980, 22, 235–40.Google ScholarPubMed
21.Salel, A. F., Fong, A., Zelis, R., et al. Accuracy of numerical coronary profile: Correlation of risk factors with arteriographically-documented severity of atherosclerosis. New England Journal of Medicine, 1977, 296, 1447–50.CrossRefGoogle ScholarPubMed
22.Schneider, J. F., Thomas, H. E. Jr.,, & Kannel, W. B.Precordial T-wave vectors in the detection of coronary heart disease. American Heart Journal, 1977, 94, 568–72.CrossRefGoogle ScholarPubMed
23.Shea, S., Cook, E. F., Kannel, W. B., & Goldman, L.Treatment of hypertension and its effect on cardiovascular risk factors: Data from the Framingham Heart Study. Circulation, 1985, 71, 2230.CrossRefGoogle ScholarPubMed
24.Smith, D. A.Comparative approaches to risk reduction of coronary heart disease in Tecumseh non-insulin-dependent diabetic population. Diabetes Care, 1986, 9, 601–08.CrossRefGoogle ScholarPubMed
25.Smith, K. W., McKinlay, S. M., & Thorington, B. D.The validity of health risk appraisal instruments for assessing coronary heart disease risk. American Journal of Public Health, 1985, 77, 419–24.CrossRefGoogle Scholar
26.Smith, T. W., Korr, K. S., Follick, M. J., & McCarthy, J. R.The Framingham Type A scale and severity of coronary artery disease. British Journal of Medical Psychology, 1986, 59, 359–63.CrossRefGoogle ScholarPubMed
27.Williams, R. R., Mclntire, K. R., Waldermann, T. A., et al. Tumor-associated antigen levels (carcinoembryonic antigen, human chorionic gonadotropin, and alpha-fetoprotein) antedating the diagnosis of cancer in the Framingham Study. Journal of the National Cancer Institute, 1977, 58, 1547–51.CrossRefGoogle ScholarPubMed
28.Wilson, P. W. F., Garrison, R. J., & Castelli, W. P.Postmenopausal estrogen use, cigarette smoking, and cardiovascular morbidity in women over 50. New England Journal of Medicine, 1985, 313, 1038–43.CrossRefGoogle ScholarPubMed
29.Wolf, P. A., D'Agostino, R. B., Kannel, W. B., et al. Cigarette smoking as a risk factor for stroke: The Framingham Study. Journal of the American Medical Association, 1988, 259, 1025–29.CrossRefGoogle ScholarPubMed