eConsent: Using Metadata to Support Study Oversight and Enhance Informed Consent
Signant Health
Signant Health
Signant Health
lectronic Informed consent (or eConsent) refers to using electronic systems and processes that may employ multiple electronic media to convey information related to the study as well as to obtain and document informed consent. eConsent offers so much more than simple confidence in the clinical trial consenting process. The metadata it collects provides deep insights and transforms processes around recruitment, retention, and compliance as well as improving documentation and education materials.
As the shift towards eConsent gathers pace, we expect exponential growth in the ways we use data collected during the consenting process, allowing us to build the patient-centric, robust, compliant clinical trials of the future.
Metadata Analysis – From Consent to Insight
While paper-based consent forms have traditionally been the go-to solution, paper fails to enable other metadata describing the consenting process (such as completion times, time spent per section, commonly questioned areas, etc.) to be collected reliably and made available. Thus, sponsors and sites receive scant details regarding the true enrollment process and miss out on key opportunities for oversight.
Sources of Data
Patterns that may otherwise have gone unnoticed can be spotted and rectified before causing expensive study delays or costly regulatory issues. There is also unprecedented opportunity for study teams to understand and anticipate the behavior of trial participants. Capturing data on patients’ responses to the enrollment process, for example, can help organizers of increasingly global trials to ensure that all information provided is culturally sensitive and caters to all levels of health literacy.
Overall, the collection and utilization of eConsent metadata leads to the optimization of trials, which may shorten the time to bring new medicines to the people who need them.
A Deep Dive Example: Metadata in Action
Let’s imagine a global, three-year, phase 3 prostate cancer trial that includes 350 patients across 50 sites in 20 countries.
In this example, the study comprises one main eConsent form and one optional sub-study form for each of the 50 sites as well as 75 translated form versions across the sites, for a total of 175 site-level eICF form versions. This was done, theoretically, to record consent for the collection of biosamples to be used in a study on the drug’s effect on a specific genotype. However, patients are not enrolling in the study, and in order to determine why, sponsors review data collected during the consent process.
Information Needs
These insights could lead to revision of materials to ensure that explanations of these components is well-written and not ambiguous to enable a better understanding for potential participants as they make enrollment decisions.
Potential fraud
Optimization
Content flags, which allow potential candidates to “flag” areas of the form where they have concerns, or queries, can be used to continually ensure that consent documents are optimized and fit-for-purpose.
In the prostate cancer trial example, 10 percent of patients at one site flagged content relating to side effects, suggesting the need for better information on the ICF and equipping sites to respond effectively to questions about this aspect of the study.
In the same example, 15 percent raised concerns about genotype sampling, prompting a review of educational materials, whereas 80 percent flagged content on visiting schedules and dosing requirements, triggering a deeper look at enrollment, retention, and study design.
Localization and Health Literacy
In this example, 12 out of 15 patients at one site answered all the side effects questions incorrectly and across the entire study, 90 percent did not understand a particular procedure. Findings like these provide an opportunity to revise materials to ensure more effective communication.
Investigating Patterns
Let’s imagine several different outlier sites: One enrolled 20 patients in one week, while another met 10 percent of its recruitment target in the first three months. In a different country, a center had not enrolled a single patient six months after the “go live” date. Equally concerning was a different site that enrolled 98 percent of all patients they saw.
Of course, the metadata cannot tell study organizers the “why.” But it can suggest a review of the information, education or training provided, or even an investigation into potentially fraudulent or inappropriate recruitment.
The Benefits of Metadata
As more sponsors move to eConsent, the potential for better datasets, processes, and technique evolves, creating a feedback loop that allows for even better data collection using more sophisticated techniques.
Towards Patient-Centric, Optimized Trials
By converting metadata into actionable insights, these can shorten trial duration, ensure compliance, and drive return on investment. This helps achieve the industry’s overriding goal: to get the life-changing medicines of tomorrow to the people who so desperately need them, as quickly as possible.