Abstract
There are many challenges and complexities involved when making health security decisions. We can better cope with these challenges and complexities if we implement a conceptually robust framework for making reasoned health security decisions, which is introduced in this chapter. We also position this decision making framework within Decision Sciences. This scientific basis is important, as it provides an adequate conceptual background for understanding how decisions can be represented, analyzed, and improved. We also highlight the potential benefits of using such a rigorous decision framework and the important distinction between decision processes and decision outcomes.
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Notes
- 1.
This book will focus on the concept of expected value for reasons that will be detailed in the ninth chapter.
References
Abbas, A. E., Tambe, M., & von Winterfeldt, D. (Eds.). (2017). Improving homeland security decisions. Cambridge University Press.
Arkes, H. R. (1991). Costs and benefits of judgment errors: Implications for debiasing. Psychological Bulletin, 110(3), 486–498. https://doi.org/10.1037/0033-2909.110.3.486
Asch, S. E. (1956). Studies of independence and conformity: I. A minority of one against a unanimous majority. Psychological Monographs: General and Applied, 70(9), 1–70. https://doi.org/10.1037/h0093718
Bell, D. E., Raiffa, H., & Tversky, A. (1988). Decision making: Descriptive, normative, and prescriptive interactions. Cambridge University Press.
Blank, H., Musch, J., & Pohl, R. F. (2007). Hindsight bias: On being wise after the event. Social Cognition, 25(1), 1–9. https://doi.org/10.1521/soco.2007.25.1.1
Bond, S. D., Carlson, K. A., & Keeney, R. L. (2008). Generating objectives: Can decision makers articulate what they want? Management Science, 54(1), 56–70. https://doi.org/10.1287/mnsc.1070.0754
Borcherding, K., & von Winterfeldt, D. (1988). The effect of varying value trees on multiattribute evaluations. Acta Psychologica, 68(1–3), 153–170. https://doi.org/16/0001-6918(88)90052-2
Brauer, F., Castillo-Chávez, C., & Feng, Z. (2019). Mathematical models in epidemiology. Springer. https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5941284
Butler, A. B., & Scherer, L. L. (1997). The effects of elicitation aids, knowledge, and problem content on option quantity and quality. Organizational Behavior and Human Decision Processes, 72(2), 184–202. https://doi.org/10.1006/obhd.1997.2737
Calvert, J., & Arbuthnott, G. (2021). Failures of state: The inside story of Britain’s battle with coronavirus. Harper Collins Publishers.
Child, J., Elbanna, S., & Rodrigues, S. (2009). The political aspects of strategic decision making. In P. C. Nutt & D. C. Wilson (Eds.), Handbook of decision making (pp. 105–137). Wiley.
Cowan, N. (2015). George Miller’s magical number of immediate memory in retrospect: Observations on the faltering progression of science. Psychological Review, 122(3), 536–541. https://doi.org/10.1037/a0039035
Cubitt, R. P., & Sugden, R. (2001). On money pumps. Games and Economic Behavior, 37(1), 121–160. https://doi.org/10.1006/game.2000.0834
Dias, L. C., Morton, A., & Quigley, J. (2018). Elicitation – The science and art of structuring judgement. Springer. www.springer.com/gb/book/9783319650517
Dolinski, D., Gromski, W., & Zawisza, E. (1987). Unrealistic pessimism. The Journal of Social Psychology, 127(5), 511–516. https://doi.org/10.1080/00224545.1987.9713735
Dyer, J. S., & Smith, J. E. (2020). Innovations in the science and practice of decision analysis: The role of management science. Management Science. https://doi.org/10.1287/mnsc.2020.3652
Edwards, W. (1954). The theory of decision making. Psychological Bulletin, 51(4), 380–417. https://doi.org/10.1037/h0053870
Edwards, W. (1961). Behavioral decision theory. Annual Review of Psychology, 12(1), 473–498. https://doi.org/10.1146/annurev.ps.12.020161.002353
Eisenführ, F., Weber, M., & Langer, T. (2010). Rational decision making (1st ed.). Springer.
Fischhoff, B. (1991). Value elicitation: Is there anything in there? American Psychologist, 46(8), 835–847. https://doi.org/10.1037/0003-066X.46.8.835
Fischhoff, B., & Broomell, S. B. (2020). Judgment and decision making. Annual Review of Psychology, 71(1), 331–355. https://doi.org/10.1146/annurev-psych-010419-050747
Fischhoff, B., Lichtenstein, S., Slovic, P., Derby, S. L., & Keeney, R. L. (Eds.). (1993). Acceptable risk. Cambridge University Press.
Franco, L. A., & Montibeller, G. (2010). Facilitated modelling in operational research. European Journal of Operational Research, 205(3), 489–500. https://doi.org/10.1016/j.ejor.2009.09.030
French, S. (1989). Decision theory: An introduction to the mathematics of rationality. Ellis Horwood.
Furnham, A., & Boo, H. C. (2011). A literature review of the anchoring effect. The Journal of Socio-Economics, 40(1), 35–42. https://doi.org/10.1016/j.socec.2010.10.008
Garvin, D. A., & Roberto, M. A. (2001). What you don’t know about making decisions. Harvard Business Review, 79(8), 108–119.
Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62(1), 451–482. https://doi.org/10.1146/annurev-psych-120709-145346
Gilovich, T., Griffin, D. W., & Kahneman, D. (2002). Heuristics and biases: The psychology of intuitive judgement. Cambridge University Press.
Gregory, R. S., Failing, L., Harstone, M., Long, G., McDaniels, T., & Ohlson, D. (2012). Structured decision making: A practical guide to environmental management choices. Wiley-Blackwell.
Hammond, K. R. (1996). Human judgment and social policy: Irreducible uncertainty, inevitable error, unavoidable injustice. Oxford University Press.
Hammond, J. S., Keeney, R. L., & Raïffa, H. (1999). Smart choices: A practical guide to making better decisions. Harvard Business Press.
Harrison, M. (2004). Disease and the modern world: 1500 to the present day. Polity.
Horton, R. (2020). The COVID-19 catastrophe: What’s gone wrong and how to stop it happening again. Polity Press.
Howard, R. A. (1968). The foundations of decision analysis. IEEE Transactions on Systems Science and Cybernetics, 4(3), 211–219. https://doi.org/10.1109/TSSC.1968.300115
Howard, R. A. (1988). Decision analysis: Practice and promise. Management Science, 34(6), 679–695.
Howard, R. A., & Abbas, A. E. (2016). Foundations of decision analysis (Global edition). Pearson.
Hunink, M. G. M., & Weinstein, M. C. (2014). Decision making in health and medicine: Integrating evidence and values (2nd ed.). Cambridge University Press.
Jargowsky, P. A. (2005). Omitted variable bias. In Encyclopedia of social measurement, volume 2 (Vol. 2, pp. 919–924). Elsevier.
Jones, P. E., & Roelofsma, P. H. M. P. (2000). The potential for social contextual and group biases in team decision-making: Biases, conditions and psychological mechanisms. Ergonomics, 43(8), 1129–1152. https://doi.org/10.1080/00140130050084914
Kahneman, D. (2011). Thinking, fast and slow. Allen Lane.
Kahneman, D., & Tversky, A. (2000). Choices, values, and frames. Cambridge University Press.
Keeney, R. L. (1982). Decision analysis: An overview. Operations Research, 30(5), 803–838.
Keeney, R. L. (1992). Value-focused thinking: A path to creative decisionmaking. Harvard University Press.
Keeney, R. L. (2002). Common mistakes in making value trade-offs. Operations Research, 50(6), 935–945.
Keeney, R. L. (2013). Identifying, prioritizing, and using multiple objectives. EURO Journal on Decision Processes, 1(1–2), 45–67. https://doi.org/10.1007/s40070-013-0002-9
Keeney, R. L. (2014). Siting energy facilities. Elsevier Science. http://qut.eblib.com.au/patron/FullRecord.aspx?p=1643483
Keeney, R. L., & Gregory, R. S. (2005). Selecting attributes to measure the achievement of objectives. Operations Research, 53(1), 1–11.
Keeney, R. L., & Raiffa, H. (1993). Decisions with multiple objectives: Preferences and value trade-offs (2nd ed.). Cambridge University Press.
Kerr, N. L., & Tindale, R. S. (2004). Group performance and decision making. Annual Review of Psychology, 55(1), 623–655. https://doi.org/10.1146/annurev.psych.55.090902.142009
Kerr, N. L., & Tindale, R. S. (2011). Group-based forecasting?: A social psychological analysis. International Journal of Forecasting, 27(1), 14–40. https://doi.org/10.1016/j.ijforecast.2010.02.001
Kerr, N. L., MacCoun, R. J., & Kramer, G. P. (1996). Bias in judgment: Comparing individuals and groups. Psychological Review, 103(4), 687–719. https://doi.org/10.1037/0033-295X.103.4.687
Koehler, D. J., Brenner, L., & Griffin, D. (2002). The calibration of expert judgment: Heuristics and biases beyond the laboratory. In T. Gilovich, D. W. Griffin, & D. Kahneman (Eds.), Heuristics and biases: The psychology of intuitive judgement (pp. 668–715). Cambridge University Press.
Krizan, Z., & Windschitl, P. D. (2007). The influence of outcome desirability on optimism. Psychological Bulletin, 133(1), 95–121. https://doi.org/10.1037/0033-2909.133.1.95
Kunda, Z. (1990). The case for motivated reasoning. Psychological Bulletin, 108(3), 480–498. https://doi.org/10.1037/0033-2909.108.3.480
Lamm, H. (1988). A review of our research on group polarization: Eleven experiments on the effects of group discussion on risk acceptance, probability estimation, and negotiation positions. Psychological Reports, 62(3), 807–813. https://doi.org/10.2466/pr0.1988.62.3.807
Leary, M. R. (2016). Introduction to behavioral research methods. Pearson Education. https://books.google.co.uk/books?id=nVTPDAAAQBAJ
Legrenzi, P., Girotto, V., & Johnson-Laird, P. N. (1993). Focussing in reasoning and decision making. Cognition, 49(1–2), 37–66. https://doi.org/16/0010-0277(93)90035-T
Legrezni, P., & Girotto, V. (1996). Mental models in reasoning and decision making. In J. Oakhill & A. Garnham (Eds.), Mental models in cognitive science: Essays in Honour of Phil Johnson-Laird (pp. 95–118). Psychology Press.
Mackenzie, D. (2020). COVID-19: The pandemic that never should have happened, and how to stop the next one. Little, Brown and Company.
Masys, A. J., Izurieta, R., & Reina Ortiz, M. (Eds.). (2020). Global health security: recognizing vulnerabilities, creating opportunities. Springer. https://doi.org/10.1007/978-3-030-23491-1
Mazzocco, P. J., Alicke, M. D., & Davis, T. L. (2004). On the robustness of outcome bias: No constraint by prior culpability. Basic and Applied Social Psychology, 26(2–3), 131–146. https://doi.org/10.1080/01973533.2004.9646401
McNamee, P., & Celona, J. (2005). Decision analysis for the professional (4th ed.). SmartOrg.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
Montibeller, G. (2018). Behavioral challenges in policy analysis with conflicting objectives. In Recent advances in optimization and modeling of contemporary problems (Vol. 1–0, pp. 85–108). INFORMS. https://doi.org/10.1287/educ.2018.0182
Montibeller, G., & von Winterfeldt, D. (2015). Cognitive and motivational biases in decision and risk analysis. Risk Analysis, 35(7), 1230–1251. https://doi.org/10.1111/risa.12360
Montibeller, G., & von Winterfeldt, D. (2018). Individual and group biases in value and uncertainty judgments. In L. C. Dias, A. Morton, & J. Quigley (Eds.), Elicitation (pp. 377–392). Springer. https://doi.org/10.1007/978-3-319-65052-4_15
Montibeller, G., Franco, L. A., & Carreras, A. (2020a). A risk analysis framework for prioritizing and managing biosecurity threats. Risk Analysis, 40(11), 2462–2477. https://doi.org/10.1111/risa.13542
Montibeller, G., Patel, P., & Del Rio Vilas, V. J. (2020b). A critical analysis of multi-criteria models for the prioritisation of health threats. European Journal of Operational Research, 281(1), 87–99. https://doi.org/10.1016/j.ejor.2019.08.018
Morgan, M. G. (2014). Use (and abuse) of expert elicitation in support of decision making for public policy. Proceedings of the National Academy of Sciences, 111(20), 7176–7184. https://doi.org/10.1073/pnas.1319946111
Morgan, M. G. (2017). Theory and practice in policy analysis: Including applications in science and technology. Cambridge University Press.
Morgan, M. G., & Henrion, M. (1992). Uncertainty: A guide to dealing with uncertainty in quantitative risk and policy analysis. Cambridge University Press.
Nutt, P. C. (1998). How decision makers evaluate alternatives and the influence of complexity. Management Science, 44(8), 1148–1166.
Nutt, P. C. (2002). Why decisions fail: Avoiding the blunders and traps that lead to debacles (1st ed.). Berrett-Koehler Publishers.
Nutt, P. C. (2008). Investigating the success of decision making processes. Journal of Management Studies, 45(2), 425–455. https://doi.org/10.1111/j.1467-6486.2007.00756.x
Oliu-Barton, M., Pradelski, B. S. R., Aghion, P., Artus, P., Kickbusch, I., Lazarus, J. V., Sridhar, D., & Vanderslott, S. (2021). SARS-CoV-2 elimination, not mitigation, creates best outcomes for health, the economy, and civil liberties. The Lancet, 0(0), 1–3. https://doi.org/10.1016/S0140-6736(21)00978-8
Payne, J. W., Bettman, J. R., & Johnson, E. J. (1992). Behavioral decision research: A constructive processing perspective. Annual Review of Psychology, 43, 87–131. https://doi.org/10.1146/annurev.ps.43.020192.000511
Payne, J. W., Bettman, J. R., & Johnson, D. E. J. (1993). The adaptive decision maker. Cambridge University Press.
Payne, J. W., Bettman, J. R., Schkade, D. A., & Schkade, D. A. (1999). Measuring constructed preferences: Towards a building code. Journal of Risk and Uncertainty, 19(1–3), 243–270.
Pfeffer, J. (2010). Managing with power: Politics and influence in organizations. Harvard Business School Press.
Phillips, L. D. (2007). Decision conferencing. In W. Edwards, R. F. Miles, & D. von Winterfeldt (Eds.), Advances in decision analysis: From foundations to applications (pp. 375–399). Cambridge University Press.
Pitz, G. F., Sachs, N. J., & Heerboth, J. (1980). Procedures for eliciting choices in the analysis of individual decisions. Organizational Behavior and Human Performance, 26(3), 396–408. https://doi.org/10.1016/0030-5073(80)90075-6
Raiffa, H. (1968). Decision analysis: Introductory lectures on choices under uncertainty. Addison-Wesley.
Roese, N. (1999). Counterfactual thinking and decision making. Psychonomic Bulletin & Review, 6(4), 570–578. https://doi.org/10.3758/BF03212965
Roese, N. J., & Vohs, K. D. (2012). Hindsight bias. Perspectives on Psychological Science, 7(5), 411–426. https://doi.org/10.1177/1745691612454303
Roy, B. (1993). Decision science or decision-aid science? European Journal of Operational Research, 66(2), 184–203. https://doi.org/10.1016/0377-2217(93)90312-B
Rushton, S., & Youde, J. R. (Eds.). (2018). Routledge handbook of global health security. Routledge.
Schoemaker, P. J. H. (1993). Multiple scenario development: Its conceptual and behavioral foundation. Strategic Management Journal, 14(3), 193–213. https://doi.org/10.1002/smj.4250140304
Seybert, N., & Bloomfield, R. (2009). Contagion of wishful thinking in markets. Management Science, 55(5), 738–751. https://doi.org/10.1287/mnsc.1080.0973
Siebert, J., & Keeney, R. L. (2015). Creating more and better alternatives for decisions using objectives. Operations Research, 63(5), 1144–1158. https://doi.org/10.1287/opre.2015.1411
Simon, H. A. (1982). Models of bounded rationality. MIT Press.
Simon, H. A. (1986). Rationality in psychology and economics. Journal of Business, 59(4), S209–S224.
Slovic, P. (1995). The construction of preference. American Psychologist, 50(5), 364–371. https://doi.org/10.1037/0003-066X.50.5.364
Spetzler, C., Winter, H., & Meyer, J. (Eds.). (2016). Decision quality value creation from better business decisions. Wiley. https://doi.org/10.1002/9781119176657
Thomas, R. P., Dougherty, M. R. P., Sprenger, A. M., & Harbison, J. I. (2008). Diagnostic hypothesis generation and human judgment. Psychological Review, 115(1), 155–185. https://doi.org/10.1037/0033-295X.115.1.155
Tichy, G. (2004). The over-optimism among experts in assessment and foresight. Technological Forecasting and Social Change, 71(4), 341–363. https://doi.org/10.1016/j.techfore.2004.01.003
Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232. https://doi.org/10.1016/0010-0285(73)90033-9
von Winterfeldt, D., & Edwards, W. (1986). Decision analysis and behavioral research. Cambridge University Press.
Vosgerau, J. (2010). How prevalent is wishful thinking? Misattribution of arousal causes optimism and pessimism in subjective probabilities. Journal of Experimental Psychology: General, 139(1), 32–48. https://doi.org/10.1037/a0018144
Wänke, M., Schwarz, N., & Bless, H. (1995). The availability heuristic revisited: Experienced ease of retrieval in mundane frequency estimates. Acta Psychologica, 89(1), 83–90. https://doi.org/10.1016/0001-6918(93)E0072-A
Weber, M., & Borcherding, K. (1993). Behavioral influences on weight judgments in multiattribute decision making. European Journal of Operational Research, 67(1), 1–12. https://doi.org/10.1016/0377-2217(93)90318-H
WHO. (2021). Health systems for health security. World Health Organization. https://apps.who.int/iris/handle/10665/342006
Woo, G. (2016). Counterfactual disaster risk analysis. Variance Journal, 10(2), 279–291.
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Montibeller, G. (2022). Making Reasoned Health Security Decisions: Key Concepts and Main Benefits. In: Decision Making for Enhanced Health Security. International Series in Operations Research & Management Science, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-030-98132-7_2
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