Dynamic policy modeling for chronic diseases: Metaheuristic-based identification of pareto-optimal

Operations Research

Volumn 58, Issue 5, 2010, Pages 1269-1286

  Rauner, Marion S ^a   Gutjahr, Walter J ^a   Heidenberger, Kurt ^a   Wagner, Joachim ^a   Pasia, Joseph ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ANT-COLONY OPTIMIZATION; BREAST CANCER; BUDGET CONSTRAINT; CHRONIC DISEASE; DYNAMIC POLICY; MAMMOGRAPHY SCREENING; METAHEURISTIC; MULTIOBJECTIVE COMBINATORIAL OPTIMIZATION; NUMERICAL EXAMPLE; PARETO-OPTIMAL; POLICY IMPLICATIONS; POLICY MAKERS; SCREENING TECHNOLOGY; SOLUTION TECHNIQUES; TIME HORIZONS; TOTAL BUDGET;

ARTIFICIAL INTELLIGENCE; BUDGET CONTROL; COMBINATORIAL OPTIMIZATION; DISEASES; FLEXIBLE STRUCTURES; HEURISTIC METHODS; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE;

ALGORITHMS;

EID: 77958479024     PISSN: 0030364X     EISSN: 15265463     Source Type: Journal    
DOI: 10.1287/opre.1100.0838     Document Type: Article

References (78)

1. Ahmed, R. 1978. On optimal resource allocation in community hypertension programs. Management Sci. 24(16) 1749-1752.
2. Anonymous. 2007. Innovative approaches to treating metastatic breast cancer. Clinical Adv. Hematology & Oncology 5(5, Suppl. 9) 4-20.
3. Austrian Federal Ministry for Health and Women. 2006. Factsheet 5 Brustkrebs. http://www.gentechnik.gv.at/cms/site/attachments/5/5/1/CH0330/ CMS1111574870265/layout-factsheet-neu1-5.pdf, Vienna, Austria.
4. Baker, S. G., K. Heidenberger. 1989. Choosing sample sizes to maximize expected health benefits subject to a constraint on total trial costs. Medical Decision Making 9(1) 14-25.
5. Baluja, S. 1994. Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical report, Computer Science Department, Carnegie Mellon University, Pittsburgh.
6. Brailsford, S. C., R. Davies, C. Canning, P. J. Roderick. 1998. Evaluating screening policies for the early detection of retinopathy in patients with non-insulin dependent diabetes. Health Care Management Sci. 1(2) 115-124.
7. Brailsford, S. C., W. J. Gutjahr, M. S. Rauner, W. Zeppelzauer. 2007. Combined discrete-event simulation and ant colony optimisation approach for selecting optimal screening policies for diabetic retinopathy. Comput. Management Sci. 4(1) 59-83.
8. Brennan, A., S. E. Chick, R. Davies 2006. A taxonomy of model structures for economic evaluation of health technologies. Health Econom. 15(12) 1295-1310.
9. Brown, J., N. J. Welton, C. Bankhead, S. H. Richards, L. Roberts, C. Tydeman, T. J. Peters. 2006. A Bayesian approach to analysing the cost-effectiveness of two primary care interventions aimed at improving attendance for breast screening. Health Econom. 15(5) 435-445.
10. Cancer Research UK. 2006. Breast cancer-performance of mammog- raphy. http://info.cancerresearchuk.org:8000/cancerstats/types/breast/screening/ mammography/, London.
11. Cooper, K., S. Brailsford, R. Davies, J. Raftery. 2006. A review of health care models for coronary heart disease interventions. Health Care Management Sci. 9(4) 311-324.
12. Danaei, G., S. Vander Hoorn, A. D. Lopez, C. J. Murray, M. Ezzati. 2005. Comparative risk assessment collaborating group (cancers). Causes of cancer in the world: Comparative risk assessment of nine behavioural and environmental risk factors. Lancet 366(9499) 1784-1793.
13. Davies, R., D. Crabbe, P. Roderick, J. R. Goddard, J. Raftery, P. Patel. 2002. A simulation to evaluate screening for helicobacter pylori infection in the prevention of peptic ulcers and gastric cancers. Health Care Management Sci. 5(4) 249-258.
14. Doerner, K., W. J. Gutjahr, R. F. Hartl, C. Strauss, C. Stummer. 2004. Pareto ant colony optimization: A metaheuristic approach to multiobjective portfolio selection. Ann. Oper. Res. 131(1-4) 79-99.
15. Doerner, K., W. J. Gutjahr, R. F. Hartl, C. Strauss, C. Stummer. 2006. Pareto ant colony optimization with IP preprocessing in multiobjective project portfolio selection. Eur. J. Oper. Res. 171(3) 830-841
16. Dorigo, M., G. Di Caro. 1999. The ant colony optimization metaheuristic. D. Corne, M. Dorigo, F. Glover, eds. New Ideas in Optimization. McGraw-Hill, Maidenhead, UK, 11-33.
17. Dorigo, M., T. Stutzle. 2004. Ant Colony Optimization. MIT Press, Cambridge, MA.
18. Dorigo, M., V. Maniezzo, A. Colorni. 1991. The ant system: An autocatalytic optimization process. Technical report, Department of Electronics, Polytechnico di Milano, Milan.
19. Dorigo, M., V. Maniezzo, A. Colorni. 1996. The ant system: Optimization by a colony of cooperating agents. IEEE Trans. Systems, Man and Cybernetics, Part B 26(1) 1-13.
20. Eddy, D. M. 1980. Screening for Cancer: Theory, Analysis and Design. Prentice Hall, Englewood Cliffs, NJ.
21. Eddy, D. M. 1986. A computer-based model for designing cancer control strategies. NCI Monographs: A Publication of the National Cancer Inst. 2 75-82.
22. Eddy, D. M., M. Shwartz. 1982. Mathematical models in screening. D. Schottenfeld, J. F. Fraumeni, eds. Cancer Epidemiology and Prevention. Saunders, Philadelphia, 1075-1090.
23. Eldabi, T., R. J. Paul, S. J. E. Taylor. 2000. Simulating economic factors in adjuvant breast cancer treatment. J. Oper. Res. Soc. 51(4) 465-475.
24. Friberg, S., S. Mattson. 1997. On the growth rates of human malignant tumors: Implications for medical decision making. J. Surgical Oncology 65(4) 284-297.
25. Gandibleux, X., M. Sevaux, K. Sorensen, V. T'kindt. 2004. Metaheuristics for Multiobjective Optimization. Springer, Berlin.
26. German Society for Senology. 2003. Stage 3-Guideline for Early Detection of Breast Cancer in Germany. German Society for Senology, Berlin.
27. Gold, M. R., J. E. Siegel, L. B. Russell, M. C. Weinstein. 1996. Cost-Effectiveness in Health and Medicine. Oxford University Press, New York.
28. Grunert da Fonseca, V., C. M. Fonseca, A. Hall. 2001. Inferential performance assessment of stochastic optimizers and the attainment function. Proc. EMO '01, Springer Lecture Notes in Computer Science, Vol. 1993. Springer, Berlin, 213-225.
29. Gutjahr, W. J. 2000. A graph-based ant system and its convergence. Future Generation Comput. Systems 16(9) 873-888.
30. Gutjahr, W. J. 2002. ACO algorithms with guaranteed convergence to the optimal solution. Inform. Processing Lett. 82(3) 145-153.
31. Habbema, J. D. F., J. T. N. Lubbe, G. J. van Oortmarssen, P. J. van der Maas. 1987. A simulation approach to cost-effectiveness and cost- benefit calculations of screening for the early detection of disease. Eur. J. Oper. Res. 29(2) 159-166.
32. Heidenberger, K. 1982. Hypertension policy analysis allowing for group-specific diagnostic strategies. Methods Inform. Medicine 21(3) 197-204. (Pubitemid 13214414)
33. Heidenberger, K. 1988. Strategische planung horizontal und vertikal dif- ferenzierter Gesundheitsprogramme. OR Spektrum 10(4) 221-235.
34. Heidenberger, K. 1990. Dynamische gesundheitsprogrammplanung: Ein strategisches modell der Nichtlinearen programmierung. OR Spek- trum 12(3) 163-172.
35. Heidenberger, K. 1992. Strategic decision support in preventive health care. Socio-Econom. Planning Sci. 26(2) 129-146.
36. Heidenberger, K. 1996. Strategic investment in preventive health care: Quantitative modelling for programme selection and resource allocation. OR Spektrum 18(1) 1-14.
37. Hirth, R. A., M. E. Chernew, E. Miller, A. M. Fendrick, W. G. Weissert. 2000. Willingness to pay for a quality-adjusted life year: In search of a standard. Medical Decision Making 20(3) 332-342.
38. Houshyar, A., F. A. Al-Khayyal. 1990. A mathematical model for scheduling screening tests for progressive diseases. Socio-Econom. Planning Sci. 24(3) 187-197.
39. Institute for Advanced Studies. 2006. Austrian Health Care Costs 2006. Institute for Advanced Studies, Vienna.
40. Jaszkiewicz, A. 2004. Evaluation of multiple objective metaheuristics. X. Gandibleu, M. Sevaux, K. Sorensen, V. T'kindt, eds. Metaheuristics for Multiobjective Optimization. Springer, Berlin, 65-89.
41. Jones, A. P., J. B. Homer, D. L. Murphy, J. D. K. Essien, B. Milstein, D. A. Seville. 2006. Understanding diabetes population dynamics through simulation modeling and experimentation. Amer. J. Public Health 96(3) 488-494.
42. Knox, E. G. 1973. A simulation system for screening procedures. Problems Progress Medical Care 9(1) 19-55.
43. Leal, J., R. Luengo-Fernandez, A. Gray, S. Petersen, M. Rayner. 2006. Economic burden of cardiovascular diseases in the enlarged European Union. Eur. Heart J. 27(13) 1610-1619. (Pubitemid 43954923)
44. Lee, H. L., W. P. Pierskalla. 1988. Theory and general models of mass screening for contagious and non-contagious diseases. G. K. Rand, ed. Operational Research '87. Elsevier Science Publishers B.V., Amsterdam, 428-441.
45. Lutz, J. M., S. Francisci, E. Mugno, M. Usel, V. Pompe-Kirn, J. W. Coebergh, M. Bieslka-Lasota. 2003. Cancer prevalence in central Europe: The EUROPREVAL study. Ann. Oncology 14(2) 313-322. (Pubitemid 36305446)
46. Michaelson, J. 2001. Using information on breast cancer growth, spread, and detectability to find the most effective ways for screening to reduce breast cancer death. J. Women's Imaging 3(2) 54-57.
47. Morris, S. R, L. A. Carey. 2007 Gene expression profiling in breast cancer. Current Opinion Oncology 19 (6) 547-551.
48. Moskowitz, H., R. Plante, H. T. Tsai. 1993. A multistage screening model for evaluation and control of misclassification error in the detection of hypertension. Management Sci. 39(3) 307-321.
49. Nichols, A. L., M. C. Weinstein. 1978. Optimal resource allocation in community hypertension programs. Management Sci. 24(14) 1526-1537.
50. Owens, D. K. 1998. Interpretation of cost-effectiveness analyses. J. General Internal Medicine 13(10) 716-717.
51. Odie;zekici, S., S. R. Pliska. 1991. Optimal scheduling of inspections: A delayed Markov model with false positives and negatives. Oper. Res. 39(2) 261-273.
52. Pasia, J., R. Hartl, K. Doerner. 2006. Solving bi-objective flowshop problem using Pareto-ant colony optimization. M. Dorigo, L. M. Gam- bardella, M. Birattari, A. Martinoli, R. Poli, T. Stutzle, eds. Proc. 5th Internal Workshop, ANTS 2006, Vol. 4150. Lecture Notes in Computer Science. Springer-Verlag, Berlin, 294-305.
53. Peer, P. G., J. A. van Dijck, J. H. Hendriks, R. Holland, A. L. Verbeek. 1993. Age-dependent growth rate of primary breast cancer. Cancer 71(11) 3547-3551.
54. Petersen, C. C. 1982. Simulation of alternative designs of a cardiovascular risk reduction program for the U.S. Air Force. J. Medical Systems 6(2) 149-164.
55. Prorok, P. V. 1984. Evaluation of screening programs for the early detection of cancer. R. G. Cornell, ed. Statistical Methods for Cancer Studies. Marcel Dekker, New York, 267-328.
56. Rafferty, E. A. 2007. Digital mammography: Novel applications. Radiologic Clinics North America 45(5) 831-843.
57. Rasky, E. 2004. Mammographie-Screening: Was bringt es wirklich? Wissenschaftsstreit um Nutzen und Risken der Brustkrebs - Frueherkennung. Aerzte Woche online 18(13).
58. Rauner, M. S., K. Heidenberger, E. M. Pesendorfer. 2005. Using Monte Carlo simulation to evaluate diabetic foot prevention strategies in Austria. Health Care Management Sci. 8(4) 253-265.
59. Rubinstein, R. 1999. The cross-entropy method for combinatorial and continuous optimization. Methodology Comput. Appl. Probab. 1(2) 127-190.
60. Shwartz, M. 1978. A mathematical model used to analyze breast cancer screening strategies. Oper. Res. 26(6) 937-955.
61. Shwartz, M., A. L. Plough. 1984. Models to aid in planning cancer screening programs. R. G. Cornell, ed. Statistical Methods for Cancer Studies. Marcel Dekker, New York.
62. Statistics Austria. 2006. Statistical Yearbook 2006. Statistics Austria, Vienna.
63. Stout, N. K., M. A. Rosenberg, A. Trentham-Dietz, M. A. Smith, S. M. Robinson, D. G. Fryback. 2006. Retrospective cost-effectiveness analysis of screening mammography. J. National Cancer Inst. 98(11) 774-82.
64. Stützle, T., M. Dorigo. 2002. A short convergence proof for a class of ACO algorithms. IEEE Trans. Evolutionary Comput. 6(4) 358-365.
65. Tsodikov, A. D., A. Y. Yakovlev. 1991. On the optimal policies of cancer screening. Math. Biosciences 107(1) 21-45.
66. Vienna Sick Fund. 2006. Examination and Treatment Costs. Vienna.
67. Voelker, J. A., W. P. Pierskalla. 1980. Test selection for a mass screening program. Naval Res. Logist. Quart. 27(1) 43-56.
68. Vutuc, C., T. Waldhoer, J. Klimont, G. Haidinger, R. Jakesz, E. Kubista, C. Zielinski. 2002. Survival of women with breast cancer in Austria by age. Stage and period of diagnoses. Wiener Klinische Wochen- schrift 114(12) 438-442.
69. Wagner, G., D. Tautu, U. Wolber. 1981. Screening for cancer: Publications 1971-1980. Methods Inform. Medicine 20(4) 223-251.
70. Weinstein, M. C. 1981. Economic assessments of medical practices and technologies. Medical Decision Making 1(4) 309-330.
71. Weinstein, M. C., P. G. Coxson, L. W. Williams, T. M. Pass, W. B. Stason, L. Goldman. 1987. Forecasting coronary heart disease incidence, mortality and cost: The coronary heart disease policy model. Amer. J. Public Health 77(11) 1417-1426.
72. Weinstein, M. C., H. G. Fineberg, A. S. E. Elstein, H. S. Frazier, D. Neuhauser, R. R. Neutra, B. J. McNeil. 1980. Clinical Decision Analysis. Saunders, Philadelphia.
73. Will, B. P., J. M. Berthelot, C. Le Petit, E. M. Tomiak, S. Verma, W. K. Evans. 2000. Estimates of the lifetime costs of breast cancer treatment in Canada. Eur. J. Cancer 36(6) 724-735.
74. Yach, D., C. Hawkes, C. L. Gould, K. J. Hofman. 2004. The global burden of chronic diseases: Overcoming impediments to prevention and control. J. Amer. Medical Assoc. 291(21) 2616-2622.
75. Yu, S. Z., A. B. Miller, G. J. Sherman. 1982. Optimizing the age, number of tests and test interval for cervical screening in Canada. J. Epidemiology Community Health 3 1-10.
76. Zitzler, E., L. Thiele. 1999. Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach. IEEE Trans. Evolutionary Comput. 3(4) 257-271.
77. Zitzler, E., L. Thiele, M. Laumanns, C. M. Fonseca, V. Grunert da Fonseca. 2003. Performance assessment of multiobjective optimizers: An analysis and review. IEEE Trans. Evolutionary Comput. 7(2) 117-132.
78. Zlochin, M., M. Birattari, N. Meuleau, M. Dorigo. 2004. Model-based search for combinatorial optimization: A critical survey. Ann. Oper. Res. 131(1-4) 373-379.