[feasibility questionnaire design – Clinical Research Made Simple

Using Historical Site Data for Questionnaire Development

digi — Tue, 26 Aug 2025 10:25:51 +0000

Using Historical Site Data for Questionnaire Development

Designing Feasibility Questionnaires Using Historical Site Data

The Importance of Historical Site Data in Feasibility Planning

Feasibility questionnaires are foundational tools in clinical trial planning. They help sponsors and CROs identify and select high-performing sites based on several factors like patient pool, investigator experience, infrastructure, and regulatory track record. However, when these questionnaires are designed without historical context, they can result in overly optimistic or inaccurate site responses. That’s where leveraging historical site data becomes critical.

Historical site data includes past enrollment rates, protocol deviation frequencies, screen failure rates, regulatory inspection outcomes, and adherence to visit schedules. Sponsors that fail to incorporate this data often face recruitment delays, budget overruns, and poor site compliance. Regulatory bodies including the FDA, EMA, and MHRA emphasize the use of evidence-based feasibility strategies during sponsor inspections.

In this article, we explore how to use historical site data to design smarter, more predictive feasibility questionnaires that improve site selection and study startup efficiency.

Types of Historical Data Relevant to Questionnaire Design

Historical site data spans multiple domains. The most useful categories include:

Enrollment History: Number of subjects enrolled in similar trials within a specific timeframe
Protocol Adherence: Frequency of deviations and their root causes
Screen Failure Rates: Percentage of screened patients not meeting inclusion criteria
Site Activation Timelines: Average time from contract finalization to first patient in (FPI)
Regulatory Inspection Outcomes: FDA 483 observations, MHRA findings, or internal QA audits

Below is an example data summary from three sites in a cardiovascular trial:

Site	Avg. Enrolled Patients	Screen Failure Rate	Deviation Count	Activation Timeline (days)
Site A	45	12%	3	30
Site B	22	28%	9	48
Site C	10	35%	15	55

From this table, it’s evident that Site A outperformed others in all key areas. Integrating this insight into a questionnaire helps to focus future feasibility assessments on parameters that matter.

Integrating Data into Feasibility Questionnaire Logic

Feasibility tools often consist of static checklists or self-reported site capabilities. When these are integrated with historical performance data, they become much more predictive. Here’s how historical data can enhance questionnaire sections:

Recruitment Potential Section: Pre-fill enrollment numbers from past studies and ask the site to explain any changes
Protocol Adherence Section: Highlight deviation patterns from previous trials and assess current mitigation measures
Timeline Commitments: Use actual past activation data to validate new timeline estimates

For example, a dynamic form might display: “In your last three trials in this therapeutic area, your average enrollment was 20 patients over 6 months. What has changed to support your estimate of 60 patients in this protocol?”

This approach discourages over-promising and helps differentiate high-performing, realistic sites from aspirational responders.

Sources of Historical Site Data

Historical site data can be gathered from several internal and public sources:

Clinical Trial Management Systems (CTMS): Capture site-level metrics from previous studies
Electronic Data Capture (EDC) Platforms: Document protocol adherence and visit windows
Trial Registries: Data from Be Part of Research (NIHR) and other registries to validate enrollment timelines
Quality Management Systems (QMS): Archive audit outcomes, CAPA timelines, and deviations

Sponsors that maintain a structured site master file with past feasibility, audit reports, and performance summaries can extract this data with minimal effort. It’s also beneficial to include CRO partner databases and publicly available performance scores (e.g., from the TransCelerate Shared Investigator Platform).

Feasibility Questionnaire Elements That Benefit from Data Integration

Not all parts of a feasibility questionnaire require historical data, but certain sections benefit significantly from it:

Section	Enhanced Element	Historical Data Input
Recruitment Forecast	Past average enrollment per month	CTMS/registry data
Protocol Compliance	Deviation history and cause	EDC/QA audit reports
Startup Timelines	Contract, ethics, and SIV durations	QMS/start-up trackers
Regulatory Experience	Inspection findings and resolutions	QMS/QA logs

By designing forms with auto-filled historical fields, sponsors can reduce bias and increase transparency. Some tools even allow scoring systems based on prior performance benchmarks.

Case Study: Data-Driven Feasibility Yields Better Enrollment

In a 2023 Phase II neurology study, the sponsor used historical site performance data to filter out low-recruiting sites from a previous epilepsy trial. By incorporating metrics such as “patients enrolled per FTE” and “visit adherence rate,” they excluded 30% of sites that had previously delayed timelines. The remaining sites achieved 95% of the recruitment target three months ahead of schedule.

This outcome illustrates how applying historical metrics during feasibility tool design directly impacts enrollment, cost, and data integrity.

Tools and Platforms That Support Data-Driven Questionnaire Design

Sponsors can use various platforms to operationalize this approach:

CTMS Platforms: Veeva Vault CTMS, Medidata RAVE
Feasibility Tools: SiteIQ, Clinscape Feasibility Module
Analytics Dashboards: Tableau, Power BI connected to CTMS/EDC sources
Risk-Based Monitoring Tools: RBM dashboards that include performance trend lines

These systems allow sponsors to design adaptive questionnaires, conduct real-time validation of site claims, and score site responses against benchmarks.

Challenges and Considerations

Despite the advantages, there are challenges to using historical data:

Data inconsistency across CROs and systems
Lack of access to complete legacy data for global sites
Privacy and data protection regulations (e.g., GDPR)
Misinterpretation of context (e.g., poor performance due to protocol flaws, not site issues)

Therefore, sponsors must contextualize historical data and allow sites to provide explanations for deviations or poor performance. Data should be used to initiate dialogue, not penalize sites without cause.

Conclusion

Designing feasibility questionnaires using historical site data enables evidence-based site selection, reduces trial risk, and improves regulatory compliance. Sponsors should move away from static, self-reported surveys and adopt dynamic, data-informed tools that consider past performance. Platforms such as CTMS, QMS, and analytics dashboards can help integrate these insights into feasibility tools, creating a predictive framework for identifying high-performing, inspection-ready sites. In doing so, the industry takes a meaningful step toward smarter, faster, and more reliable clinical trial execution.

Feasibility Questionnaire Design Best Practices for Clinical Trials

digi — Sat, 14 Jun 2025 08:05:29 +0000

Best Practices for Designing Clinical Trial Feasibility Questionnaires

Feasibility questionnaires are essential tools in the site selection process. A well-designed questionnaire gathers key data from potential trial sites, helping sponsors and CROs assess their capability to meet study requirements. However, if poorly designed, they can yield incomplete or misleading insights. In this tutorial, we explore best practices for designing feasibility questionnaires that are comprehensive, protocol-aligned, and effective in identifying high-performing sites.

Why Feasibility Questionnaires Are Important:

These questionnaires help evaluate whether a site can successfully conduct a clinical trial. They provide insight into:

Investigator qualifications and past performance
Access to the target patient population
Facility, equipment, and staff readiness
Competing studies and enrollment bandwidth
Regulatory and ethical review timelines

Effective feasibility tools reduce delays, prevent poor site selection, and align start-up planning with realistic timelines.

Start with Clear Objectives:

Before drafting the questionnaire, define your goals:

What protocol elements are most critical?
Which operational challenges do you want to pre-screen for?
Are you gathering data for site qualification, or just preliminary interest?

Tailor your questions based on study phase, therapeutic area, and trial complexity.

Key Sections to Include in a Feasibility Questionnaire:

1. Investigator and Site Details:

Principal Investigator (PI) name, credentials, and CV
Number of years in clinical research and therapeutic area expertise
GCP training certificate validity
Site location, infrastructure, and certifications

2. Patient Population Access:

Estimated number of eligible patients in the past 12 months
Access to hospital/clinic databases for patient screening
Inclusion/exclusion feasibility based on protocol synopsis
Expected recruitment timeline and dropout rate

This section helps validate enrollment projections and set realistic timelines.

3. Competing Trials and Study Load:

Ongoing studies in the same therapeutic area
Number of studies with overlapping populations
PI and CRC workload management

Overloaded sites may lead to poor recruitment and protocol deviations.

4. Infrastructure and Equipment:

Availability of temperature-controlled drug storage
Access to laboratory services and shipping experience
Backup systems for electricity, refrigeration, and internet

Use this to evaluate alignment with GMP-compliant operations.

5. Regulatory and Ethics Review Capabilities:

IRB/IEC name, contact details, and approval frequency
Timeframes for new protocol approvals and amendments
Experience with prior study submissions

This helps anticipate delays due to ethics timelines.

6. Site Start-Up Readiness:

Availability of SOPs and regulatory document templates
Timelines for document completion and signature authority
Past performance metrics for site activation

Design Tips for Effective Questionnaires:

Keep It Protocol-Specific: Avoid generic templates—tailor questions to each trial’s eligibility criteria and endpoints.
Use Logical Grouping: Organize sections by theme—investigator, patients, logistics, etc.
Balance Open and Closed Questions: Use dropdowns, yes/no, and numeric fields for comparability; include comments for context.
Include Definitions: Clarify terms like “eligible patient,” “CRC,” or “screen failure rate” to avoid misinterpretation.
Enable Digital Submission: Use electronic tools with auto-validation to reduce manual errors.

Digital platforms like Medidata Feasibility, Veeva, or custom REDCap forms can help standardize submissions across sites.

Common Mistakes to Avoid:

Asking overly complex or ambiguous questions
Failing to account for regional regulatory and logistical nuances
Not allowing sites to explain answers or give context
Sending the same form to both naïve and experienced sites

Designing an adaptive or branching form can help tailor depth based on responses.

Data Collection and Scoring:

Once data is collected, establish scoring models to rank sites based on feasibility criteria:

Enrollment feasibility (30%)
Infrastructure and staff availability (25%)
Regulatory readiness (20%)
Competing studies (15%)
Investigator engagement (10%)

Use weighted scores to prioritize follow-ups and site qualification visits (SQVs).

Integration with Site Selection SOPs:

Your feasibility process should align with documented SOPs, including:

Site selection criteria and justification
Data storage policies and version control
Compliance with sponsor requirements and Pharma SOP templates

Conclusion:

A well-constructed feasibility questionnaire is foundational to selecting high-performing sites and ensuring successful study execution. By following these best practices—tailoring questions to the protocol, structuring logically, enabling digital submissions, and aligning with regulatory expectations—sponsors and CROs can make informed site selection decisions with speed and confidence. For templates and feasibility scoring tools, refer to resources available at Stability Studies.