Prepared for NCT07029529

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Operations analysis report

Study title

Song-making In a Group (SING) R61

NCT#

NCT05537428

Last updated

Jun 15, 2025

10 recommendations found

Clinical Research Coordinator Analysis

Blood Sample Collection and Processing Logistics

Finding: The protocol (Table 8-1, Schedule of Assessments) mandates collection of numerous blood samples at Baseline and frequent subsequent visits (Weeks 2, 4, 8, 12, 16, and some at Screening/Week 20) for a wide array of analytes. This includes safety labs (hematology, chemistry), Pharmacokinetics (PK), Anti-Drug Antibodies (ADA), and five distinct exploratory biomarkers (hsCRP, IgE, TARC, Periostin, IL-22). This high volume and variety of samples at single timepoints may lead to extended visit durations for participants, increased phlebotomy burden, and a heightened risk of errors in sample collection, processing, or labeling if meticulous pre-planning and workflow optimization are not diligently implemented by site staff. Recommendation:

1. Prior to enrolling the first participant, develop a comprehensive, visit-specific "Blood Draw & Processing Visual Guide/Checklist" derived directly from the Laboratory Manual. This guide should clearly itemize: a) the exact number and types of tubes required for each visit, b) the correct order of draw, c) minimum draw volumes, d) specific, step-by-step processing instructions (e.g., centrifugation speeds/durations, precise aliquoting requirements, immediate storage conditions like 'freeze immediately on dry ice' vs. 'refrigerate'), and e) detailed labeling conventions for each sample type.

2. Conduct a mandatory, hands-on "mock run" of the complete blood collection and processing sequence for a complex visit (e.g., Baseline or Week 2). This should involve all relevant site staff (CRCs, phlebotomists, lab technicians) to proactively identify and resolve any ambiguities in the Laboratory Manual, confirm equipment functionality (centrifuge, freezer alarms), and streamline the workflow.

3. Implement a system of preparing "per-participant, per-visit" blood collection kits in advance. These kits should contain all necessary, correctly labeled (where possible, with pre-printed identifiers for visit and sample type) tubes and essential collection supplies, minimizing search time and potential for using incorrect materials during busy clinic times.

4. Designate a specific, adequately equipped area for sample processing with clear demarcation for different sample types, and ensure staff have protected, uninterrupted time scheduled immediately post-collection to perform these critical processing steps accurately.

Rationale: Implementing these proactive measures will significantly enhance operational efficiency for these complex sample collection visits, substantially reduce the risk of pre-analytical errors that could compromise the integrity of valuable safety and exploratory biomarker data, minimize participant burden by potentially shortening visit times, and foster greater confidence and consistency among site staff in adhering to the protocol's demanding sample handling requirements. This ultimately supports the generation of high-quality data crucial for the study's success.

Operations analysis report

Clinical Research Coordinator Analysis

Blood Sample Collection and Processing Logistics

Finding: The protocol (Table 8-1, Schedule of Assessments) mandates collection of numerous blood samples at Baseline and frequent subsequent visits (Weeks 2, 4, 8, 12, 16, and some at Screening/Week 20) for a wide array of analytes. This includes safety labs (hematology, chemistry), Pharmacokinetics (PK), Anti-Drug Antibodies (ADA), and five distinct exploratory biomarkers (hsCRP, IgE, TARC, Periostin, IL-22). This high volume and variety of samples at single timepoints may lead to extended visit durations for participants, increased phlebotomy burden, and a heightened risk of errors in sample collection, processing, or labeling if meticulous pre-planning and workflow optimization are not diligently implemented by site staff. Recommendation:

1. Prior to enrolling the first participant, develop a comprehensive, visit-specific "Blood Draw & Processing Visual Guide/Checklist" derived directly from the Laboratory Manual. This guide should clearly itemize: a) the exact number and types of tubes required for each visit, b) the correct order of draw, c) minimum draw volumes, d) specific, step-by-step processing instructions (e.g., centrifugation speeds/durations, precise aliquoting requirements, immediate storage conditions like 'freeze immediately on dry ice' vs. 'refrigerate'), and e) detailed labeling conventions for each sample type.

2. Conduct a mandatory, hands-on "mock run" of the complete blood collection and processing sequence for a complex visit (e.g., Baseline or Week 2). This should involve all relevant site staff (CRCs, phlebotomists, lab technicians) to proactively identify and resolve any ambiguities in the Laboratory Manual, confirm equipment functionality (centrifuge, freezer alarms), and streamline the workflow.

3. Implement a system of preparing "per-participant, per-visit" blood collection kits in advance. These kits should contain all necessary, correctly labeled (where possible, with pre-printed identifiers for visit and sample type) tubes and essential collection supplies, minimizing search time and potential for using incorrect materials during busy clinic times.

4. Designate a specific, adequately equipped area for sample processing with clear demarcation for different sample types, and ensure staff have protected, uninterrupted time scheduled immediately post-collection to perform these critical processing steps accurately.

Rationale: Implementing these proactive measures will significantly enhance operational efficiency for these complex sample collection visits, substantially reduce the risk of pre-analytical errors that could compromise the integrity of valuable safety and exploratory biomarker data, minimize participant burden by potentially shortening visit times, and foster greater confidence and consistency among site staff in adhering to the protocol's demanding sample handling requirements. This ultimately supports the generation of high-quality data crucial for the study's success.

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Find & fix bottlenecks in minutes

© 2024 Polytrial Corp.

Find & fix bottlenecks in minutes

© 2024 Polytrial Corp.