Good Documentation in Clinical Trials

Good documentation practices are pivotal in clinical trials to ensure data integrity, compliance, and reproducibility. These practices involve meticulous recording, timely entries, and careful validation of trial data. This accuracy ensures that clinical trials adhere to regulatory standards and scientific norms. Thus, robust documentation supports the validity and reliability of clinical research outcomes.

The medical record of the subject before, after, and during the clinical trial is a source document.

Characteristics of Source Document

  • It is useful to check if the person is suitable for a clinical trial or not. If you are a professional looking to improve your skills in handling clinical trials, then the Clinical Research Coordinator course and the Clinical Trials Assistant Training course are worth a look.

  • It records the evolution of the subject from consenting to the end of the randomized controlled trial that has been chosen.

  • It also helps track how much investigational product is used and returned by the subject, as well as how much is dispensed.

  • At any point of the treatment the source document is a complete medical record of the subject as a reference.

  • Finally it forms well built data. Then it is transcribed to CRF that translates it into a clinical study report.

The source document is consistent with the fundamental principles for the protection of the rights of subjects, their safety and well-being and is in accordance with the principles learned in the ICH-GCP course.

ALCOA-C

ALCOA-C incorporates all the primary elements of a source document as defined and documented by the U.S. FDA.

The reason why it got implemented in medical practices; is to ensure confidentiality, credibility, accuracy, and validation. ALCOA-C is the abbreviation of some crucial terms in clinical trials that are as follow:

Figure no. 1: ALCOA-C

  • Attributable

  • Legible

  • Contemporaneous

  • Original

  • Accurate

  • Enduring

  • Available and accessible

  • Complete

  • Consistent

  • Credible

  • Corroborated


For everyone involved in pharmacovigilance, the Pharmacovigilance Certification course can be seen as further training in how to guarantee drug safety and efficacy that adheres to these standards.

Types of a Source Document

There are two types of Source Documentation:

  1. Electronic - An electronic record is defined as any form of text, graphics, data, audio, pictorial or other form of information in digital form that has been created, modified, maintained, archived, retrieved or distributed by a computer system. For more specialized training, consider the Advanced Clinical Research Project Manager Certification and the Medical Monitor Certification course.

  2. Paper - Source Documents can take the form of pre-printed forms on which data has been written or it can be handwritten records. For the advanced certification as a Principal Investigator (PI) Physician, the topics related to the Levogen Drug Trial, Research Collaboration, and Ethical Responsibilities in Clinical Research seem to be key areas that those aiming to lead in this field should prioritize.

The most common type of Source Documentation (SD) is official medical documentation used in medical institutions regularly:

  • Medical History

  • Outpatient Medical Chart

  • Various Logs / Hospital Charts

For a comprehensive understanding of clinical trial documentation and monitoring, the CRA (Clinical Research Associate) course is highly recommended.

Table no. 1: examples of source document in clinical trials.

Examples of Source Document in Clinical Trial:

Participant’s medical reports

Phone encounters or notes

Report Participants diaries 

Specific research worksheets

Figure no. 2: general flow chart for clinical data management.

Clinical Data Management

The collection, cleaning and management of subject’s data according to regulatory standards is called as clinical data management (CDM).

Table no. 2: tools for CDM.

Main Objectives of CDM:

  • To provide high-quality data.

  • To keep the number of errors and missing data as low as possible.

  • Try to get maximum data for analysis.

Table no. 3: minimum requirement for CDM team.

The information shall be in the electronic form signed by the signer in the CDM and must meet the requirements of the Code of Federal Regulation (CFR), 21 CFR Part 11. CRF uses the records in the electronic format that we have created, modified, stored, archived, retrieved, or transferred. ( binny et al., 2012)

Case Report Form:

CRF is the first step in the conversion of the protocol specific activities into the data that is being created. It should be brief, easy to use and understand. (binny et al., 2012)

Conclusion

In conclusion, good documentation in clinical trials underpins the foundation of effective clinical research. By adhering to ALCOA-C principles and ensuring comprehensive source documentation, researchers can safeguard subject safety and data integrity. The implementation of robust Clinical Data Management (CDM) systems further enhances data accuracy and reliability. For professionals aiming to deepen their understanding of these practices, the CCRPS offers specialized courses that align with current regulatory standards and industry best practices.

Explore Courses for Clinical Research Career

Courses Available:

References:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3121265/ - Good documentation practice in clinical research
https://conductscience.com/portfolio/alcoa-c/ - ALCOA-C
https://www.appliedclinicaltrialsonline.com/view/targeting-source-document-verification - Targeting Source Document Verification
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326906/ - Data management in clinical research: An overview
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4170533/ - Basics of case report form designing in clinical research
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3857788/ - Remote Source Document Verification in Two National Clinical Trials Networks: A Pilot Study
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386950/ - Impact of source data verification on data quality in clinical trials: an empirical post hoc analysis of three phase 3 randomized clinical trials

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