Finding the right treatment for your condition or symptom can be challenging. Personalized Trials can help you learn more about which treatment is best for you. Below, you can learn more about what participating in Personalized Trials is all about.
Finding the right treatment for your condition or symptom can be challenging. Personalized Trials can help you learn more about which treatment is best for you. Below, you can learn more about what participating in Personalized Trials is all about.
Conventional randomized trials compare the effect of treatments (or treatment versus control) across groups of patients. Most clinical trials are typically conducted by enrolling a large number of patients. Patients are assigned to one of two or more groups which compare different treatments or medication for the same condition. In the end, success is measured by comparing how the groups respond to the different treatments. The results can help clinicians and patients to decide together which treatments are worth trying.
For example, in this kind of trial
A different research approach is called Personalized Trials, also known as N-of-1 trials or patient-as-their-own-control or single case studies. This name came from statisticians because this trial focuses on one patient—the one patient who is trying to decide with their provider the best treatment for that one patient. In Personalized Trials, an individual patient decides on the treatments he/she would like to know about, and then is assigned to receive a sequence of treatments in a random order.
A patient in this kind of trial might receive Treatment A for 2 weeks, followed by Treatment B for 2 weeks. Often, neither the patient and nor the provider know which treatment that patient is receiving first and which one second. Throughout the trial, the patient is closely monitored and at the end of the trial, the treatment “code” is broken, the patient and the care provider jointly review the results to see if the patient did better with A or B, and they then decide which one would be best for that patient. In this type of trial, an individual patient is given the opportunity to test two or more treatments, often in a random order.
Steps for conducting Personalized Trials using hypertension as an example
Step 1: Choose the Personalized Trials design
Step 2: Treatment Tracking
Step 3: Data visualization and analysis
Step 4: Shared decision making
Blinding is when information about the treatment is masked (kept) from the participant and/or provider, to reduce or eliminate bias, until after a trial outcome is known. For example, patients may be more likely to think a brand name drug is more effective than a generic drug based on subliminal messaging, marketing or individual biases. Masking which drug you are taking might allow for a more scientific, objective assessment of treatment effects.
A washout period is a period of time during a trial when a participant is taken off of a drug or treatment in order to eliminate the effects of the treatment.
Personalized Trials can be conducted with varying levels of individual involvement. For example, in some Personalized Trials, you can select the types of treatments they wish to compare, the duration of the trial, and the outcomes you would like to use to compare the effects of treatments (e.g., side effects).
Patients can directly review the data obtained from the Personalized Trials and share in the decision-making with their clinician around choosing preferred treatments. Some patients prefer that their personal clinicians use the data from the Personalized Trials to arrive at treatment decisions with minimal patient input.
Researchers at Columbia University Medical Center are conducting Personalized Trials for symptoms and conditions such as fatigue, high blood pressure, insomnia and chronic pain. If you’d like to receive more information about these studies, please click here.