Pharmaphorum | Theano Anastasopoulou
 |
| Theano Anastasopoulou |
A
common question from brand teams launching a new drug is how to make it the
preferred physician choice over current treatment. Approvals by the US Food and
Drug Administration (FDA), European Medicines Agency (EMA) and other regional
bodies before new drugs are licensed ensure that new drugs offer benefits over
existing ones for appropriate patient populations.
It follows that a rational healthcare professional (HCP) should be able to compare the benefit or, in economic terms, the 'utility' offered by existing and new products, choose the one with the highest utility and quickly start offering the new option where appropriate. This outcome is predicted by the 'expected utility' theory in economics where people are 'rational agents' acting on a mission to maximise utilities.
However, experience shows that new product adoption does not follow the above rational law and switching to a new drug may be very slow when it doesn't offer a real breakthrough, despite offering clinical benefits. HCP treatment decision making involves a trade-off between various factors. The decision will involve an efficacy target, elements of risk for each patient and possibly a cost target. Cognitive biases may come into play and are likely to make HCPs overwhelmingly choose one treatment over another, objectively similar, one, choose a suboptimal treatment, or even stick to a treatment beyond the point when they should choose another one.
It follows that a rational healthcare professional (HCP) should be able to compare the benefit or, in economic terms, the 'utility' offered by existing and new products, choose the one with the highest utility and quickly start offering the new option where appropriate. This outcome is predicted by the 'expected utility' theory in economics where people are 'rational agents' acting on a mission to maximise utilities.
However, experience shows that new product adoption does not follow the above rational law and switching to a new drug may be very slow when it doesn't offer a real breakthrough, despite offering clinical benefits. HCP treatment decision making involves a trade-off between various factors. The decision will involve an efficacy target, elements of risk for each patient and possibly a cost target. Cognitive biases may come into play and are likely to make HCPs overwhelmingly choose one treatment over another, objectively similar, one, choose a suboptimal treatment, or even stick to a treatment beyond the point when they should choose another one.