Biomedical Engineering Reference
In-Depth Information
these patient-oriented advertising effort, together with detailing efforts that target
physicians, would infl uence patient and physician's evaluation of the treatment
effectiveness and side effects of the new drugs.
Finally, a few studies have investigated how pharmaceutical companies' market-
ing efforts such as detailing can help to reduce physicians' prior uncertainty in treat-
ment effectiveness and side effects associated with a new drug. There is a lot more
to be explored along this line of inquiry. For example, most of these existing studies
are only partial analysis, focusing on the demand side. It is important to study under
market equilibrium conditions how pharmaceutical companies compete in detail-
ing, and perhaps also in other policies such as pricing and DTC advertising in the
presence of physician and patient uncertainty of treatment attributes.
References
Berry S, Levinsohn J, Pakes A (2004) Differentiated products demand systems from a combination
of micro and macro data: the new vehicle market. J Polit Econ 112(1):68-104
Bombardier C, Laine L, Reicin A, Shapiro D, Burgos-Vargas R, Davis B, Day R, Ferraz M,
Hawkey C, Hochberg M, Kvien T, Schnitzer T (2000) Comparison of upper gastrointestinal
toxicity of rofecoxib and naproxen in patients with rheumatoid arthritis. N Engl J Med
343(21):1520-1528
Bordeleau L, Pritchard KI, Loprinzi CL, Ennis M, Jugovic O, Warr D, Haq R, Goodwin PJ (2010)
Multicenter, randomized, cross-over clinical trial of venlafaxine versus gabapentin for the man-
agement of hot fl ashes in breast cancer survivors. J Clin Oncol 28(35):5147-5152
Bresalier R, Sandler R, Quan H, Bolognese J, Oxenius B, Horgan K, Lines C, Riddell R, Morton
D, Lanas A, Konstam M, Baron J (2005) Cardiovascular events associated with rofecoxib in a
colorectal adenoma chemoprevention trial. N Engl J Med 352(11):1092-1102
Camacho N, Donkers B, Stremersch S (2011) Predictably non-Bayesian: quantifying salience
effects in physician learning about drug quality. Mark Sci 30(2):305-320
Cannon CP, Braunwald E, McCabe C, Rader D, Rouleau J, Belder R, Joyal S, Hill K, Preffer M,
Skene A (2004) Intensive and moderate lipid lowering with statins after acute coronary
syndromes. N Engl J Med 350(15):1495-1504
Carey J, Capell K (2005) Side effects of the drug scares. BusinessWeek, 7 Mar
Chan T, Hamilton B (2006) Learning, private information and the economic evaluation of random-
ized experiments. J Polit Econ 115(6):997-1040
Chan T, Narasimhan C, Xie Y (2013) An empirical model of physician learning on treatment
effectiveness and side effects. Manag Sci 59(6):1309-1325
Ching A (2010) Consumer learning and heterogeneity: dynamics of demand for prescription drugs
after patent expiration. Int J Ind Organ 28(6):619-638
Ching A, Ishihara M (2010) The effects of detailing on prescribing decisions under quality uncer-
tainty. Qual Mark Econ 8(2):123-165.
Ching A, Ishihara M (2012) Measuring the informative and persuasive roles of detailing on pre-
scribing decisions. Manag Sci 58(7):1374-1387
Chintagunta PK, Jiang R, Jin GZ (2009) Information, learning, and drug diffusion: the case of
Cox-2 inhibitors. Quant Mark Econ 7(4):399-443
Crawford G, Shum M (2005) Uncertainty and learning in pharmaceutical demand. Econometrica
73:1137-1174
Cutting Edge Information (2011) Per-patient clinical trial costs rise 70% in three years. http://
www.cuttingedgeinfo.com/2011/per-patient-clinical-trial-costs/ . Accessed 11 Feb 2012
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