Monday, May 14, 2018

eSource Terminology Untangled

True or False:

(1) eSource in clinical trials means eliminating the possibility for transcription errors.

(2) Data collected in Electronic Data Capture (EDC) systems is eSource.

Strictly speaking, both statements are false. If that surprises you, it’s probably because many casual uses of the term “eSource” actually differ from the formal definition laid out by FDA. If the participants in any discussion share the same interpretation of “eSource”, or if it’s clear from context how “eSource” is being used, then no harm, no foul. (Contemporary translation: “Meh.”) BUT…and you know where we’re going with this…when a term can be interpreted in multiple ways, there’s always a possibility for miscommunication and cross talk.

FDA Guidance on eSource in Clinical Investigations
FDA defines eSource as *any* data initially recorded in electronic format. That’s a broad definition, one that includes:
     a) equipment-generated data, such as digital imaging and labs
     b) electronic Patient Reported Outcome (ePRO) transmissions
     c) data streams from mobile health devices, such as Apple ResearchKit
     d) data entered directly into an EDC, known as Direct-Data-Entry (DDE) solutions
     e) data entered into an Electronic Health Record (EHR) or electronic Medical Record (EMR) system


Discussion of Direct-Data-Entry (DDE)
DDE systems allow research staff members to use portable devices to enter study data directly into an EDC system. DDEs have been garnering a lot of industry attention of late, and a number of companies offer solutions that offer a DDE data flow. As independent 3rd party auditors, we don’t want to play favorites by mentioning specific systems as examples, but if your company sells or uses a DDE system that you want to highlight, feel free to add a comment below to give it a shout out.

Discussion of EMR/EDC Integration
Not long after finalizing its e-Source guidance, FDA hosted a webinar that encouraged companies to explore direct EMR/EDC integration. While a few industry players have taken up the effort, movement has been slow. One difficulty: generally EMRs are built with healthcare in mind, not clinical research. Secondly, with so many EMR and EDC vendors, ensuring that EMR data from one system is mapped to appropriate EDC fields in another system relies heavily on data standards that are still being defined and need to be implemented on both sides. 

Source Data Verification (SDV)
If data is transmitted directly from the source system to an Electronic Data Collection (EDC) system, SDV is not required, since the source data isn’t being transcribed manually. (Note: other types of Source Data Review (SDR) activities are still necessary, even if SDV isn’t. SDR must be conducted to verify ALCOA-C data principles such as attribution, originality, accuracy, completeness, etc.) Direct transmission from source system to EDC system is the typical pathway for items (a) – (d) above, and so SDV is not required for these types of eSource.

http://bit.ly/2wipCSn

Common Confusions
SDV. Unless there is EMR/EDC integration – Item (e) above – source data from an EMR system needs to be manually transcribed. This is what makes T/F question #1 false. Just because source data originates in an EMR, it does *not* suggest SDV checks are superfluous. You could argue, as many have, that SDV is not a high-value activity and uncovers only a small percent of data error. That argument may well influence how much SDV is conducted, but whenever data is transcribed from original source into an EDC system, SDV is a relevant discussion.

EDC Data. It’s not unusual for someone to refer to data stored in EDCs as eSource. Data stored in EDCs are electronic, and may be source, but only if the EDC is the first place the data is recorded. This is what makes T/F question #2 false.

In Summary
If you’re ever in a discussion about eSource and things start going sideways, it may be time to haul out the formal definition of eSource -- in all its tedious detail -- to make sure everyone is using the term the same way. 

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Image Credit: Paradox by Brett Jordan

Monday, March 19, 2018

Delegation of Authority Log: Tips for Monitors

We may call them “site inspections”, but it’s not the site that’s being inspected when a regulator visits; it’s the Principal Investigator. Though a PI typically delegates study tasks to other staff members, he or she remains solely responsible for the conduct of the study. In fact, the ICH E6(R2) addendum adds two new sections to the international guidance that emphasize PI supervision.

That’s what makes the Delegation of Authority (DoA) log so important and why regulatory inspectors care about it so much. A DoA log serves as evidence that a PI has assigned study tasks only to those staff members with the education, training, and experience to carry them out. If delegates are unqualified to perform their tasks, subject safety could be at risk and it’s highly likely that the study data would be unusable.

Monday, January 15, 2018

Study Sites: Show 'Em Your QC!

Sites frequently want to know how they can stand out to Sponsors and CROs to win more studies.
Our advice: Implement internal QC procedures.

Sponsors and CROs we work with consider a tight quality control program to be evidence that a site can be counted on to produce reliable data. It shows that managing quality at your site is a continual process, and doesn’t wait for monitors to arrive. In a risk-based monitoring environment, this is an increasingly compelling attribute.

Where to Start: The Usual Suspects
It makes sense for you to focus your QC efforts on those areas where you’ve historically had the most problems. If the phrase “trend analysis” makes you want to jump through a window -- it's okay -- you can climb back inside. You don't have to do a trend analysis. We've identified 3 areas in which audit findings are common and how you can avoid them.

Sunday, November 12, 2017

Love at First "Site": Early Signs of Strong PI Oversight

My Grandpa
When I was a teenager, my grandfather would invite my new boyfriends to run short, pointless errands with him, just so he could watch them drive. He said he could tell a lot about a boy’s character simply by observing his actions behind the wheel. Did he stay under the speed limit? Did he use his signal when he was switching lanes? Did he slow down when children were playing near the road? If so, it was a good sign that the boy was generally a careful and attentive fellow. If not, it was an early indication of reckless tendencies, and I would do well to be on my guard.

What does this have to do with PI oversight?

Tuesday, September 19, 2017

Anticipating Tensions Between Clinical Care and Study Protocol

Protocol Deviations
Protocol trumps practice. This principle seems clear enough, but complying with it is not always as straight-forward as it sounds. Years of practicing medicine has reinforced the way a physician responds to medical situations. But do these responses run counter to the investigational plan? Can a site’s commitment to standard of care affect its ability to meet enrollment targets?


There’s a lot to consider.

Tuesday, July 18, 2017

Coping with Scoping Your CSV/Part 11 Audit

You know you need a computer systems audit, but that’s literally the extent of what you know.
Has this ever been you?

Yes, you use computers on a daily basis, and you may even use the system that needs to be audited. But you don’t spend your day thinking about where all the system components are located, how services and software are combined, and what Part 11 requirements apply. Terms like “cloud computing” make you feel slightly queasy. You’d rather get a root canal than discuss “distributed processing.” Your expertise is in manufacturing. Or clinical research. Or non-clinical lab operations. And somehow it’s your job to make sure an effective and properly-sized system audit is conducted. Great.

Monday, May 22, 2017

Notes 2 Fix Your Notes 2 File

Q: If Notes to File can be regulatory red flags, should we quit using them?
A: No, and here's why...

Regulatory inspections are often conducted long after the conclusion of the study. When an FDA investigator asks you a question about an anomaly five years after it’s happened, will anyone recall the circumstances well enough to satisfy the regulator’s concerns? You’ll be doing yourself a huge favor if you write NTFs that answer the questions regulators might one day be asking you.