The global clinical trials market is said to be expected to reach USD 65.2 billion by 2025.
The globalization of clinical trials (led by the emergence of CROs as a driving force in the clinical trials market), development of new treatments and evolving technologies such as personalized medicine and programs as well as digital monitoring services along with the increasing demand for data and analytics by way of CRO support all are said to play key roles in shaping the future of clinical trials.
However, the complexity of trials, patient recruitment, adoption of technology, regulatory requirements, high cost levels and many others issues,
create challenges conducting and working in the clinical trials market. High rates of failure resulting from lengthy and complex study designs and the constraints driven by the complexities of guidelines have resulted in all-time high clinical trials. Additionally, patient access to appropriate clinical trials and engagement is declining, and staff and operations management is more challenging than ever.
The overall cost of failed clinical trails is extremely high, with estimates varying between $800 million and $1.4 billion USD.
Approximately 50% of Phase III trials fail.
Among the most common reasons for failure in Phase III trials are efficacy (a failure to meet the primary efficacy endpoint), safety (unexpected adverse or serious adverse events), and commercial / financial (failure to demonstrate value compared to existing therapy).
Common failure triggers for Phase III trials are flawed study designs, inadequate basic science, sub-optimal dose selection, flawed data collection and analysis, and problems with study operations, including recruitment, dropouts, and noncompliance.
In a clinical trials environment patient or subject compliance is one of the most important areas of focus. Recent studies show that industry professionals view success rates in Subject Compliance at 25%. 20% to 30% of all clinical trials are said to fail due to non-adherence.
CROs and Adherence-monitoring technologies have increasingly focused on attempting to address both poor overall clinical trials performance as well as poor adherence by creating systems and platforms that can monitor patient adherence and activity through a collection of patient-driven methods.
Non-Adherence: A Direct Influence on Clinical Trial Duration and Cost
The long duration and subsequent costs of conducting clinical trials has always been at the forefront of development organizations within bio-pharmaceutical enterprises, as clinical trials remain costly and continue to increase in duration.
Although novel initiatives aimed at improving study efficiency and data quality (i.e., RBM, adaptive trial design, and novel pilots) offer promise to reduce trial duration and cost impact, the bio-pharmaceutical industry is overlooking one critical element that affects study timelines: patient non-adherence.
Prevalence of Study Non-Adherence
It would be ideal if all patients adhered to investigational medical product (IMP) and the study protocol, nonetheless, many patients do not.
Figure 1 below illustrates that approximately 40% of patients become nonadherent to IMP after 150 days in a clinical trial, and Figure 2 demonstrates that IMP non-adherence not only causes temporary bouts of toxicity (double dosing) and lack of efficacy (skipping doses), but also introduces data variability into the equation.
Costs and Impacts
We have demonstrated previously that patient non-adherence in clinical trials leads to enrolling more patients to achieve the same statistical outcomes, increases study timeline slippage, and subsequently, elevates operational costs. In this section, we will estimate the cost of non-adherence, and the opportunity cost of reducing non-adherence.
Table 1 demonstrates the average estimated cost of enrolling patients for all therapeutic indications in a variety of study phases.
|Trial Phase||Cost of Enrollment Per Patient||Average Cost per Trial (2014)||Average Patients / Trial (2014)|
Table 2 models the operational costs associated with clinical trial IMP non-adherence.
1,273 trials and corresponding patients that were categorized as N/A by phase were re-allocated based on existing trial allocation patterns. Medication nonadherence impact based on 30% and 50% non-adherence rates requiring 50% and 200% increases in sample size respectively. This does not include costs of investigational product; only project management and enrollment costs are included.
|Trial Phase||Estimated Avg Added Patients Needed to Maintain Statistical Power at 40% Non-Adherence||…at 39%||Estimated Wasted Capital on Cost of Enrolling Additional Patients at 40% Non-Adherence||…at 39%||Average Cost Savings Per 1% Improvement in IMP Adherence|