
The right sites do more than recruit patients—they determine whether a protocol can succeed in the real world.
A clinical trial can
have a compelling scientific hypothesis, a carefully designed protocol and
adequate funding—and still struggle to deliver.
One of the most
consequential decisions occurs before the first participant is enrolled: selecting
the right investigative sites.
Site selection is
sometimes viewed primarily as an operational start-up activity. In reality, it
is a strategic decision that can influence recruitment, participant retention,
protocol compliance, data quality, study timelines and overall trial performance.
For sponsors and
Contract Research Organizations (CROs), the question should therefore not
simply be:
"Which sites
are interested in our study?"
It should be:
"Which sites
can realistically deliver this study, for this patient population, under this
protocol?"
That distinction
matters.
Site Selection
Begins With Feasibility
Clinical trial
feasibility assesses whether a proposed study can realistically be conducted
within the intended countries, institutions and patient populations.
At the site level,
feasibility commonly considers factors such as:
- Availability of the target patient
population
- Investigator experience
- Previous clinical trial performance
- Competing studies
- Standard-of-care pathways
- Site infrastructure and facilities
- Availability of appropriately trained
staff
- Recruitment potential
- Participant retention capability
- Pharmacy and laboratory capabilities
- Regulatory and ethics requirements
- Contracting and budget timelines
- Protocol complexity and operational burden
The objective is not
simply to identify sites capable of signing a clinical trial agreement.
It is to identify
sites capable of executing the protocol successfully.
The Recruitment
Question: Are the Patients Really There?
One of the most
important—and difficult—questions during feasibility is whether the site has
access to enough eligible participants.
A site may treat
hundreds of patients with a particular disease each year. That does not
necessarily mean hundreds will qualify for the trial.
Consider what happens
when protocol criteria are applied:
Total disease population
↓
Patients meeting the disease definition
↓
Patients within the required disease
stage/severity
↓
Patients meeting inclusion criteria
↓
Patients without exclusion criteria
↓
Patients not enrolled in competing studies
↓
Patients willing and able to participate
↓
Realistically recruitable participants
The final population
may be considerably smaller than the initial estimate.
This is why relying
exclusively on investigator estimates can create unrealistic recruitment
projections.
A strong feasibility
process interrogates the assumptions behind those numbers.
Where appropriate,
sponsors and CROs may complement feasibility questionnaires with
epidemiological data, historical site performance, referral patterns,
electronic health data, disease registries and other relevant evidence.
Why Recruitment
Performance Matters
Recruitment remains a
persistent challenge in clinical research.
An analysis of
registered randomized trials found that a substantial proportion were
discontinued, with poor recruitment representing the most frequently reported
reason for discontinuation.
The implications
extend beyond delayed timelines.
When recruitment
underperforms, sponsors may need to:
- Activate additional sites
- Expand into additional countries
- Extend recruitment periods
- Amend operational plans
- Increase monitoring and site-management
resources
- Reforecast budgets
- Reconsider development timelines
Site selection
therefore has both scientific and commercial consequences.
Selecting more sites
is not necessarily the solution.
Selecting the right
sites is.
Investigator
Experience Matters—but It Isn't Everything
An experienced
Principal Investigator can be extremely valuable.
Previous
therapeutic-area experience, knowledge of Good Clinical Practice (GCP),
familiarity with investigational products and established research processes
can contribute significantly to successful execution.
However, investigator
credentials should not be evaluated in isolation.
The wider site team
matters just as much.
A high-performing
research site often depends on:
- Principal and Sub-Investigators
- Clinical Research Coordinators (CRCs)
- Research nurses
- Pharmacists
- Laboratory personnel
- Regulatory coordinators
- Data-entry personnel
- Administrative and contract teams
An internationally
recognized investigator without sufficient operational support may struggle to
deliver a complex protocol.
Conversely, a
well-organized research team with realistic recruitment potential, experienced
CRCs and responsive site processes may become one of a study's strongest
performers.
Site capability is
a team characteristic—not merely an investigator credential.
Protocol Complexity
Must Be Tested Against Site Reality
A protocol can appear
entirely manageable during development but become challenging when introduced
into routine clinical practice.
Consider a study
requiring:
- Frequent participant visits
- Narrow visit windows
- Multiple laboratory assessments
- Complex imaging
- Pharmacokinetic sampling
- Electronic patient-reported outcomes
- Investigational product preparation
- Long-term follow-up
- Multiple specialist assessments
Can the site actually
deliver all of these consistently?
If the protocol
requires a six-hour pharmacokinetic sampling schedule, does the research unit
have adequate staffing and facilities?
If specialized imaging
is required, is it available within the protocol-defined window?
If participants must
attend frequent visits, is travel likely to affect recruitment or retention?
If a rare disease is
being studied, does the investigator directly manage eligible patients—or
depend upon external referrals?
These are not minor
logistical questions.
They determine whether
the theoretical protocol can become an operationally viable study.
Competing Trials
Can Change the Recruitment Landscape
A site may have the
right investigators and the right patient population but still be unsuitable
because several competing studies are recruiting the same patients.
Competition can arise
from trials involving:
- The same indication
- Similar mechanisms of action
- Comparable eligibility criteria
- The same line of therapy
- Overlapping investigators
- Similar recruitment periods
Feasibility therefore
needs to capture not only the site's current workload but also its anticipated
trial pipeline.
A site that appears
highly attractive today may have substantially different recruitment capacity
six months later when the study actually opens.
Start-Up
Performance Matters Too
A site cannot recruit
participants until it is activated.
Site selection should
therefore consider expected start-up performance, including:
- Ethics/IRB review timelines
- Regulatory documentation
- Site contracting
- Budget negotiation
- Essential document collection
- Institutional approvals
- Investigator availability
- Site initiation readiness
This becomes
especially important in multinational studies, where regulatory, ethics,
contracting and institutional processes vary between countries and sites.
For sponsors, a
theoretically high-recruiting site that takes many months to activate may
ultimately contribute fewer participants than a moderately recruiting site that
can start substantially earlier.
Feasibility therefore
needs to consider time-to-activation alongside expected recruitment rate.
Site Selection Is
Increasingly Data-Informed
Historically, site
selection often relied heavily on existing investigator networks and
feasibility questionnaires.
Relationships remain
important, but modern clinical development increasingly allows decisions to be
supplemented by data.
Depending on the study
and available data sources, site intelligence may incorporate:
- Historical trial performance
- Previous enrollment rates
- Screen-failure patterns
- Site activation timelines
- Protocol deviation history
- Therapeutic-area experience
- Investigator publication history
- Epidemiological information
- Claims or electronic health data
- Patient referral pathways
- Geographic accessibility
The objective is not
to replace clinical judgment with an algorithm.
It is to combine data
with operational intelligence and local expertise.
Patient-Centricity
Should Begin at Site Selection
Site selection is also
a patient-access decision.
A highly experienced
research centre may still be poorly positioned if participation requires
patients to travel unreasonable distances or repeatedly miss work, arrange
childcare or navigate complex transportation.
Patient-centric
feasibility should therefore consider:
- Geographic accessibility
- Visit frequency
- Travel burden
- Duration of study visits
- Accessibility requirements
- Local patient pathways
- Language considerations
- Cultural factors
- Availability of decentralized or hybrid
trial options
The Declaration of
Helsinki emphasizes the protection of the rights, interests and well-being of
research participants.
Participant
considerations should therefore influence trial planning from the beginning—not
only after recruitment problems emerge.
Quality Must Never
Be Sacrificed for Recruitment
A site promising high
enrollment is attractive.
But recruitment alone
does not define a high-performing site.
Sites must also be
capable of:
- Obtaining valid informed consent
- Following the protocol
- Protecting participants
- Reporting safety information appropriately
- Maintaining essential documentation
- Ensuring investigational product
accountability
- Entering reliable and timely data
- Responding effectively to queries
- Supporting monitoring and oversight
ICH E6(R3) reinforces
a proportionate, risk-based approach to quality, emphasizing factors that are
critical to participant protection and the reliability of trial results.
The best site is
therefore not necessarily the one promising the largest enrollment number.
It is the site most
likely to deliver appropriate recruitment, participant protection and
reliable data consistently throughout the study.
Site Selection in
Multicountry Clinical Trials
The challenge becomes
even greater when studies span multiple countries.
Country and site
strategy may need to account for:
Regulatory
environment: How efficiently
can the study obtain required approvals?
Patient population: Is the target population sufficiently
represented?
Standard of care: Does local clinical practice align with the
protocol?
Site
infrastructure: Can
study-specific procedures be performed reliably?
Language: Will documents, participant materials or site
communications require localization?
Contracts and
budgets: What are realistic
negotiation timelines?
Recruitment: How does the indication's epidemiology differ
across regions?
Operational
support: Are experienced CRAs,
CRCs and site-management professionals available locally?
This is why global
trial execution requires a combination of centralized governance and strong
local knowledge.
From Site Selection
to Site Partnership
There is another
important shift occurring in clinical research.
High-performing sites
should not simply be treated as vendors activated for individual studies.
Strong
sponsor-CRO-site relationships can create long-term value through better
communication, greater understanding of operational expectations and earlier
identification of potential challenges.
Sites also possess
knowledge that sponsors and CROs may not have.
Investigators and CRCs
understand local patient pathways, referral networks, standard clinical
practice and the practical realities of implementing a protocol.
Engaging sites early
can therefore help identify operational problems before they become study-wide
problems.
What Does
Successful Site Selection Look Like?
Successful site
selection sits at the intersection of four dimensions:
Patient Access
Can the site identify and retain the right participants?
Operational
Capability
Can the team actually execute the protocol?
Quality
Can the site protect participants and generate reliable data?
Deliverability
Can it activate and recruit within realistic timelines?
A strong
site-selection strategy evaluates all four.
Because ultimately:
The goal is not to
activate the greatest number of sites. It is to activate the right sites.
The Agile Clinical
Trendz Perspective
At Agile Clinical
Trendz, we view site feasibility and selection as strategic components of
clinical development—not simply administrative steps before activation.
Effective site
operations require collaboration across feasibility, study start-up, regulatory
activities, contracting, monitoring, site management and recruitment planning.
This becomes
particularly important in multicountry studies, where local regulatory
pathways, patient populations and site practices must be integrated within a
consistent global study strategy.
Our approach is built
around a simple principle:
Understand the
protocol. Understand the patient pathway. Understand the site. Then build the
operational strategy around all three.
Because when the right
investigators, the right sites and the right patients come together, clinical
research moves forward more efficiently—and with greater potential to generate
meaningful evidence.
References
- Kasenda B, von Elm E, You J, et al.
Prevalence, characteristics, and publication of discontinued randomized
trials. JAMA. 2014;311(10):1045–1051. doi:10.1001/jama.2014.1361.
- International Council for Harmonisation of
Technical Requirements for Pharmaceuticals for Human Use. ICH
Harmonised Guideline E6(R3): Guideline for Good Clinical Practice.
Final guideline; 2025.
- World Medical Association. World Medical
Association Declaration of Helsinki: Ethical Principles for Medical
Research Involving Human Participants. JAMA. 2025;333(1):71–74.
doi:10.1001/jama.2024.21972.
- U.S. Food and Drug Administration. E6(R3)
Good Clinical Practice (GCP). FDA; 2025.
- European Medicines Agency. Clinical
Trials Regulation (EU) No 536/2014 and Clinical Trials Information System
(CTIS). EMA.
- Huang GD, Bull J, Johnston McKee K, et al.
Clinical trials recruitment planning: A proposed framework from the
Clinical Trials Transformation Initiative. Contemp Clin Trials.
2018;66:74–79. doi:10.1016/j.cct.2018.01.003.