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Assessing the effectiveness of health interventions for cost-effectiveness analysis

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References

  1. Torrance GW, Feeny D. Utilities and quality-adjusted life years. Int J Technol Assess Health Care. 1989;5:559–78.

    PubMed  CAS  Google Scholar 

  2. Patrick DL, Erickson P. Health Status and Health Policy. New York, NY: Oxford University Press; 1993.

    Google Scholar 

  3. Gold MR, Siegel JE, Russell LB, Weinstein MC, eds. Cost-Effectiveness in Health and Medicine: Report of the Panel on Cost-Effectiveness in Health and Medicine. New York, NY: Oxford University Press: 1996.

    Google Scholar 

  4. Gold MR, Patrick DL, Torrance GW, et al. Identifying and valuing outcomes. In: Gold MR, Siegel JE, Russell LB, Weinstein MC, eds. Cost-Effectiveness in Health and Medicine: Report of the Panel on Cost-Effectiveness in Health and Medicine. New York, NY: Oxford University Press: 1996.

    Google Scholar 

  5. Luce BR, Manning WG, Siegel JE, Lipscomb J. Estimating costs in cost-effectiveness analysis. In: Gold MR, Siegel JE, Russell LB, Weinstein MC, eds. Cost-Effectiveness in Health and Medicine: Report of the Panel on Cost-Effectiveness in Health and Medicine. New York, NY: Oxford University Press; 1996.

    Google Scholar 

  6. Park RE, Fink A, Brook RH, et al. Physician ratings of appropriate indicators for six medical and surgical procedures. Am J Public Health. 1986;76:766–72.

    Article  PubMed  CAS  Google Scholar 

  7. Leape LL. Practice guidelines and standards: an overview. Qual Rev Bull. 1990;16(2):42–9.

    CAS  Google Scholar 

  8. Leape LL, Brook RH. RAND Corporation Appropriateness Rating Program: Context and Purpose. Paper presented at Workshop to Improve Group Judgement for Medical Practice and Technology Assessment sponsored by the Council of Health Care Technology, Division of Health Care Services, Institute of Medicine, Washington, DC, May 15–16, 1990.

  9. Kuntz KM, Weinstein MC. Life expectancy biases in clinical decision modeling. Med Decis Making. 1995;15:158–169.

    Article  PubMed  CAS  Google Scholar 

  10. Russell LR, Taylor WC, Jagannathan R, Milan E. What statistical model best describes heart disease risk? Evidence from the NHANES 1 epidemiologic follow-up study. In: The Risk and Risk Factor Modeling Project: Final Report. Washington, DC: Agency for Health Care Policy and Research. U.S. Public Health Service: 1995. Grant HS 07002.

    Google Scholar 

  11. Fryback DG. Bayes' theorem and conditional non-independence of data in medical diagnosis. Comput Biomed Res. 1978;11:423–34.

    Article  PubMed  CAS  Google Scholar 

  12. Poses RM, Cebul RD. Centor RM. Evaluating physicians' probabilistic judgments. Med Decis Making. 1988;8:233–40.

    Article  PubMed  CAS  Google Scholar 

  13. Ellenberg JH. Selection bias in observational and experimental studies. Stat Med. 1994;13(5–7):557–67.

    Article  PubMed  CAS  Google Scholar 

  14. Begg CB, Greenes RA. Assessment of diagnostic tests when disease verification is subject to selection bias. Biometrics. 1983;39: 207–15.

    Article  PubMed  CAS  Google Scholar 

  15. U.S. Preventive Services Task Force (USPSTF). Guide to Clinical Preventive Services. 2d ed. Baltimore, Md: Williams and Wilkins: 1995.

    Google Scholar 

  16. Mandelblatt JS, Fryback DG, Weinstein MC, Russell LB, Gold MR, Hadorn DC. Assessing the effectiveness of health interventions. In: Gold MR, Siegel JE, Russell LB, Weinstein MC, eds. Cost-Effectiveness in Health and Medicine: Report of the Panel on Cost-Effectiveness in Health and Medicine. New York, NY: Oxford University Press: 1996.

    Google Scholar 

  17. Weiss NS. Control definition in case-control studies of the efficacy of screening and diagnostic testing. Am J Epidemiol. 1983; 116:457–60.

    Google Scholar 

  18. Morrison AS. Case definition in case-control studies of the efficacy of screening. Am J Epidemiol. 1982;115:6–8.

    PubMed  CAS  Google Scholar 

  19. Conner RJ, Prorok PC, Weed DL. The case-control design and the assessment of the efficacy of cancer screening. J Clin Epidemiol. 1991;44:1215–21.

    Article  Google Scholar 

  20. Gill TM, Horwitz RI. Evaluating the efficacy of cancer screening: clinical distinctions and case-control studies. J Clin Epidemiol. 1995;48:281–92.

    Article  PubMed  CAS  Google Scholar 

  21. Selby JV, Friedman GD, Quesenberry CP Jr, Weiss NS. Case-control evaluation of screening. J Clin Epidemiol. 1996;49:390–1. Letter.

    Article  Google Scholar 

  22. Selby JV. A case-control study of screening sigmoidoscopy and mortality from colorectal cancer. N Engl J Med. 1992;326:653–7.

    Article  PubMed  CAS  Google Scholar 

  23. Mosteller F. Assessing Medical Technologies. Institute of Medicine, Committee for Evaluating Medical Technologies in Clinical Use. Washington, DC: National Academy Press: 1985.

    Google Scholar 

  24. Mitchell JB, Bubolz T, Paul JE, et al. Using medicare claims for outcomes research. Med Care. 1994;32(suppl):JS38–51.

    Article  PubMed  CAS  Google Scholar 

  25. Massey JT, Moore TF, Parsons VL, Tadros W. Design and estimation for the National Health Interview Survey. 1985–94. Vital Health Stat 2. 1989:110.

    Google Scholar 

  26. Ezzati TM, Massey JT, Waksberg J, Chu A, Maurer KR. Sample design: Third National Health and Nutrition Examination Survey. Vital Health Stat 2. 1992;113:1–35.

    PubMed  Google Scholar 

  27. Ingram DD, Makuc DM. Statistical issues in analyzing the NHANES I epidemioogic follow up study. Vital Health Stat 2. 1994;121:1–30.

    PubMed  Google Scholar 

  28. Dickersin K, Berlin JA. Meta-analysis: state-of-the-science. Epidemiol Rev. 1992;14:154–76.

    PubMed  CAS  Google Scholar 

  29. Hasselblad V, McCrory DC. Meta-analytic tools for medical decision making: a practical guide. Med Decis Making. 1995;15:81–96.

    Article  PubMed  CAS  Google Scholar 

  30. Sacks HS, Berrier J, Teitman D, Ancona-Berk VA. Chalmer TC. Meta-analysis of randomized controlled trials. N Engl J Med. 1987;316:450–5.

    Article  PubMed  CAS  Google Scholar 

  31. L'Abbe KA, Detsky AS, O'Rourke K. Meta-analysis in clinical research. Ann Intern Med. 1987;107:224–33.

    PubMed  Google Scholar 

  32. Petitti DB. Meta-analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine. New York, NY: Oxford University Press: 1994.

    Google Scholar 

  33. Eddy DM, Hasselblad V, Schachter R. Meta-analysis by the Confidence Profile Method: The Statistical Synthesis of Evidence. Boston, Mass: Academic Press: 1992.

    Google Scholar 

  34. Brophy JM, Joseph L. Placing trials in context using Bayesian analysis. GUSTO revisited by Reverend Bayes. JAMA. 1995;273:871–5.

    Article  PubMed  CAS  Google Scholar 

  35. Klevit HD, Bates AC, Castanares T, Kirk EP, Sipes-Metzler PR, Wopat R. Prioritization of health care services. A progress report by the Oregon Health Services Commission. Arch Intern Med. 1991;151:912–6.

    Article  PubMed  CAS  Google Scholar 

  36. Banta HD, Luce BR. Health Care Technology and Its Assessment. Oxford, U.K.: Oxford Medical Publications: 1993.

    Google Scholar 

  37. Office of Technology Assessment (OTA). U.S. Congress. Identifying Health Technologies That Work: Searching for Evidence OTA-H-608 Washington, DC: U.S. Government Printing Office; 1994; Five Background Papers, BP-H-142 Washington, DC: U.S. Government Printing Office; 1995.

    Google Scholar 

  38. Phelps CE, Mushlin AI. Focusing technology assessment using medical decision theory. Med Decis Making. 1988;8:279–89.

    Article  PubMed  CAS  Google Scholar 

  39. Raiffa H. Decision Analysis: Introductory Lectures on Choices Under Uncertainty. Reading, Mass: Addison-Wesley Publishing Co.; 1968.

    Google Scholar 

  40. Weinstein MC, Fineberg HV, Frazier AS, Neuhauser D, Neutra RR, McNeil BJ. Clinical Decision Analysis. Philadelphia, Pa: W.B. Saunders Co.; 1980.

    Google Scholar 

  41. Sox H, Blatt MA, Higgins MC, Marton KI. Medical Decision Making. Boston, Mass: Butterworths; 1988.

    Google Scholar 

  42. Lieu TA, Cochi SL, Black SB, et al. Cost-effectiveness of a routine varicella vaccination program for US children. JAMA. 1994;271: 375–81.

    Article  PubMed  CAS  Google Scholar 

  43. Willems JS, Sanders CR, Riddiough MA, Bell JC. Cost-effectiveness of vaccination against pneumococcal pneumonia. N Engl J Med. 1980;303:553–9.

    Article  PubMed  CAS  Google Scholar 

  44. Riddiough MA, Sisk JE, Bell JC. Influenza vaccination: cost-effectiveness and public policy. JAMA. 1983;249:3189–95.

    Article  PubMed  CAS  Google Scholar 

  45. Mandelblatt JS, Wheat ME, Monane M, Moshief R, Hollenberg J, Tang J. Breast cancer screening for elderly women with and without co-morbid conditions: a decision model. Ann Intern Med. 1992;116:722–30.

    PubMed  CAS  Google Scholar 

  46. Beck JR, Pauker SG. The Markov process in medical prognosis. Med Decis Making. 1983;3:419–58.

    Article  PubMed  CAS  Google Scholar 

  47. Weinstein MC, Coxson PG, Williams LW, Pass TM, Stason WB, Goldman L. Forecasting coronary heart disease incidence, mortality, and cost: the coronary heart disease policy model. Am J Public Health. 1987;77:1417–26.

    PubMed  CAS  Google Scholar 

  48. Wong JB, Sonnenberg FA, Salem DN, Pauker SG. Myocardial revascularization for chronic stable angina. Ann Intern Med. 1990; 113:852–71.

    PubMed  CAS  Google Scholar 

  49. Eddy DM. Screening for breast cancer. Ann Intern Med. 1989; 111:389–99.

    PubMed  CAS  Google Scholar 

  50. Fahs M, Mandelblatt JS, Schechter C, Muller C. The costs and effectiveness of cervical cancer screening in the elderly. Ann Intern Med. 1992;117:520–7.

    PubMed  CAS  Google Scholar 

  51. Krahn MD, Mahoney JE, Eckman MH, Trachtenberg J, Pauker SG, Detsky AS. Screening for prostate cancer: a decision analytic view. JAMA. 1994;272:773–80.

    Article  PubMed  CAS  Google Scholar 

  52. Tosteson AN, Rosenthal DI, Melton LJ, Weinstein MC. Cost effectiveness of screening perimenopausal white women for osteoporsis: bone densitometry and hormone replacement therapy. Ann Intern Med. 1990;113:594–603.

    PubMed  CAS  Google Scholar 

  53. Sonnenberg FA, Beck JR. Markov models in medical decision making: a practical guide. Med Decis Making. 1993;13:322–38.

    Article  PubMed  CAS  Google Scholar 

  54. Paltiel AD, Kaplan EH. Modeling zidovudine therapy: a cost-effectiveness analysis. J Acquir Immune Defic Syndr. 1991;4:795–804.

    PubMed  CAS  Google Scholar 

  55. Mark DB, Hlatky MA, Califf RM, et al. Cost effectiveness of thrombolytic therapy with tissue plasminogen activator as compared with streptokinase for acute myocardial infarction. N Engl J Med. 1995;332:1418–24.

    Article  PubMed  CAS  Google Scholar 

  56. Eddy DM. A computer-based model for designing cancer control strategies. In: Greenwald PG, Sondik EJ, eds. Cancer Control Objectives for the nation: 1985–2000. Bethesda, Md: National Institutes of Health; 1986. NIH publication no. 86-2880. no. 2.

    Google Scholar 

  57. Habbema JDF, van Oortmarssen GJ, Lubbe JTHN, van der Maas PJ. The MISCAN simulation program for the evaluation of screening for disease. Comput Methods Programs Biomed. 1984;20:79–93.

    Article  Google Scholar 

  58. Feuer EJ, Wun LM. How much of the recent rise in breast cancer incidence can be explained by increases in mammography utilization? A dynamic population model approach. Am J Epidemiol. 1992;136:1423–36.

    PubMed  CAS  Google Scholar 

  59. Chang P. A simulation study of breast cancer epidemiology and detection since 1982: the case for limited malignant potential lesions. PhD dissertation. Department of Industrial Engineering. University of Wisconsin-Madison, 1993.

  60. Eddy DM. Screening for Cancer: Theory, Analysis and Design. Englewood Cliffs, NJ: Prentice-Hall; 1980.

    Google Scholar 

  61. Eddy DM. Screening for cervical cancer. Ann Intern Med. 1990; 113:214–6.

    PubMed  CAS  Google Scholar 

  62. Eddy DM. Screening for colorectal cancer. Ann Intern Med. 1990; 113:373–84.

    PubMed  CAS  Google Scholar 

  63. Beck JR, Pauker SG, Gottlieb JE, Klein K, Kassirer JP. A convenient approximation of life expectancy (the “DEALE”), II: use in medical decision-making. Am J Med. 1982;73:889–97.

    Article  PubMed  CAS  Google Scholar 

  64. Keeler E, Bell R. New DEALEs: other approximations of life expectancy. Med Decis Making. 1992;12:307–11.

    Article  PubMed  CAS  Google Scholar 

  65. Weinstein MC, Stason WB. Hypertension: A Policy Perspective. Cambridge, Mass: Harvard University Press; 1976.

    Google Scholar 

  66. Goldman L, Weinstein MC, Goldman PA, Williams LW. Cost-effectiveness of HMG-CoA reductase inhibition for primary and secondary prevention of coronary heart disease. JAMA. 1991;265: 1145–51.

    Article  PubMed  CAS  Google Scholar 

  67. Oster G, Epstein AM. Cost-effectiveness of antihyperlipemic therapy in the prevention of coronary heart disease. JAMA. 1987;258: 2381–7.

    Article  PubMed  CAS  Google Scholar 

  68. Psaty BM, Koepsell TD, Manolio TA, et al. Risk ratios and risk differences in estimating the effect of risk factors for cardiovascular disease in the elderly. J Clin Epidemiol. 1990;43:961–70.

    Article  PubMed  CAS  Google Scholar 

  69. Muldoon MF, Manuck SB, Matthews KA. Lowering cholesterol concentrations and mortality: a quantitative review of primary prevention trials. BMJ. 1990;301:309–14.

    PubMed  CAS  Google Scholar 

  70. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adult. Summary of the second report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel II). JAMA. 1993;269:3015–23.

    Article  Google Scholar 

  71. Brown ML, Brauner C, Minnotte MC. Noncancer deaths in white adult cancer patients. J Natl Cancer Inst. 1993;85:979–87.

    Article  PubMed  CAS  Google Scholar 

  72. Greenfield S, Aronow HU, Elashoff RM, Watanabe D. Flaws in mortality data the hazards of ignoring co-morbid disease. JAMA. 1988;260:2253–5.

    Article  PubMed  CAS  Google Scholar 

  73. Prorok PC, Hankey BF, Bundy BN. Concepts and problems in the evaluation of screening programs. J Chron Dis. 1981;34:159–71.

    Article  PubMed  CAS  Google Scholar 

  74. Morrison AS. Screening in Chronic Disease. 2d ed. New York, NY: Oxford University Press: 1992.

    Google Scholar 

  75. Black WC, Welch HG. Advances in diagnostic imaging and overestimations of disease prevalence and the benefits of therapy. N Engl J Med. 1993;328:1237–43.

    Article  PubMed  CAS  Google Scholar 

  76. Shwartz M. A mathematical model used to analyze breast cancer screening strategies. Operation Res. 1978;26:937–55.

    Google Scholar 

  77. Shwartz M. Validation and use of a mathematical model to estimate the benefits of screening younger women for breast cancer. Cancer Detect Prev. 1981;4:595–601.

    PubMed  CAS  Google Scholar 

  78. van Oortmarssen GJ, Habbema JD, van der Maas PJ, et al. A model for breast cancer screening. Cancer. 1990;66:1601–12.

    Article  PubMed  Google Scholar 

  79. Black WC, Welch HG. A Markov model of early diagnosis. Acad Radiol. 1996;3:S10–12.

    Article  Google Scholar 

  80. Eddy DM. The frequency of cervical cancer screening: comparison of a mathematical model with empirical data. Cancer. 1987;60:1117–22.

    Article  PubMed  CAS  Google Scholar 

  81. Drummond MF, Davies L. Economic evaluation alongside clinical trials. Int J Technol Assess Health Care. 1991;7:561–73.

    PubMed  CAS  Google Scholar 

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From Research to Practice, aJournal series, presents articles to heighten the clinician’s awareness of research and methodology issues that have direct relevance to practice. If you wish to submit a manuscript for consideration for this series, please contact Cynthia D. Mulrow, MD, MSc, Associate Editor, at mulrow@uthscsa.edu, or contact the Journal of General Internal Medicineat (215) 823-4471 to receive the appropriate guidelines.

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Mandelblatt, J.S., Fryback, D.G., Weinstein, M.C. et al. Assessing the effectiveness of health interventions for cost-effectiveness analysis. J GEN INTERN MED 12, 551–558 (1997). https://doi.org/10.1046/j.1525-1497.1997.07107.x

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