We are all experts when it comes to deciding the treatment strategy for our patients. However, despite an optimal strategy, outcomes may vary due to poor drug compliance or irregular follow-up (the human component). We often assume that individuals make rational decisions, but real-world human behaviour actually deviates and is greatly influenced by emotions and past experiences. Understanding human psychology and the economics of our behaviour can be a vital tool. Behavioural economics involves analysing the predictability of these irrational human behavioural patterns so we can anticipate and avoid them to improve patient outcomes. By integrating behavioural economics into our practice, we can design interventions that account for these deviations and promote better health outcomes. We may already be incorporating some of these interventions in our practice. However, a more structured approach can help us address both the psychological and economic factors that influence health behaviours.
Loss Aversion: Patients are more motivated to avoid loss than seek gain. Motivation to maintain drug compliance may be greater to avoid the worsening of their condition rather than to achieve potential improvements.
Framing Effect: Decisions are influenced by how information is presented. Telling a patient who needs to start Anti-TNF therapy that there is a 1% chance of TB reactivation might discourage them to do so but telling them that there is a 99% chance of not having TB might not.
Present Bias: Patients prioritise immediate comfort or gains over long-term health benefits. Smoking and obesity are greatest examples of this bias. GC bridging therapy (providing early relief) helps improve patient compliance and confidence in treating doctors. Monthly cash incentives to TB and HIV patients by the government provides short term gain that reinforces long term benefit.
Time Inconsistency: Patients’ preferences may change over time, leading to inconsistencies in adherence to treatment plans. Writing day of week for taking methotrexate, mentioning time for taking day and night medications in prescription, forms a commitment contract reinforcing compliance.
Status Quo Bias: Change requires effort. Patients tend to stick with their old treatment or lifestyle habits even if better options are available. ‘Opt out’ approach is more effective than ‘opt in’ approach
Social Norms: Patients are influenced by what they perceive others are doing. Group therapy sessions or patient support groups can encourage positive health behaviours.
Anchoring: Initial information provided to patients about their condition and treatment options can heavily influence their subsequent decisions. Providing accurate and comprehensive initial consultations is crucial.
Mental Accounting: Patients might treat health-related expenses differently from other expenses. Most people in India don’t plan for them. Financial counselling and clear explanations of the cost-benefit of treatments can help.
Endowment Effect: Patients may value their current treatment or routine more highly simply because they are emotionally attached to it. Demonstrating the superior benefits of new treatments can help them transition.
Overconfidence: Patients might overestimate their ability to manage their condition without professional help. Regular check-ins and education about the importance of professional guidance can mitigate this.
Availability Heuristic: Patients might overestimate the likelihood of a rare event (disease or side effect) if they have recently seen someone suffer from it or heard about it. Providing balanced information about risks and benefits can help manage these perceptions.
Most of these concepts are not communicated to us in our training programs or if they are we don’t pay attention to them. We usually tend to learn them passively through trial and error by dealing with our patients. However, utilising behavioural economics can shorten the time to realise this and greatly improve our patient health outcomes.