How to Demonstrate Patient Availability During Clinical Trial Feasibility in India
By Govind Pawar, Senior Clinical Operations Leader – 15 years experience across Indian and global sponsors, CROs and biotech partners Patient Availability Clinical Trial Introduction Demonstrating patient availability is the single most decisive factor when a feasibility team decides whether a protocol can be executed on time and within budget in India. In my fifteen‑year career I have seen sites lose a study because the sponsor relied on generic census data, and I have seen the same protocol succeed when the feasibility package contained granular, verified patient‑flow information. This article walks through the practical steps, common pitfalls and mitigation strategies that operational teams can apply to produce a robust, evidence‑based patient‑availability assessment for any therapeutic area in India. Why Generic Census Numbers Fail Sr.No. Issue Typical Assumption Real‑World Observation Impact on Timeline Impact on Budget 1 National disease prevalence “X % of Indian population has disease Y” Prevalence varies widely by state, urban vs rural, and socio‑economic tier Delayed site start‑up when recruitment slower than projected Extra monitoring visits, extended drug supply 2 Hospital inpatient census “Hospital admits 200 patients/month for condition Z” Admissions are driven by referral patterns; many patients are transferred elsewhere Site fails to meet enrollment targets Increased site‑level costs, sponsor penalties 3 Outpatient clinic footfall “Clinic sees 1,000 outpatients daily” Only a fraction meet protocol inclusion criteria (age, comorbidities, biomarker status) Low screen‑fail ratio, early stop‑go decisions postponed Waste of CRO resources on screening 4 Investigator’s perception “I see enough patients” Investigator optimism not backed by documented screening logs Unexpected drop‑outs, protocol amendments Additional source‑data verification (SDV) effort 5 Public health reports “Government data shows 50 k cases per year” Data often lagging by 12–24 months, missing private‑sector patients Under‑estimation of reachable pool Need for supplemental recruitment campaigns The above table illustrates that reliance on macro‑level data leads to under‑ or over‑estimation of the true enrolment capacity. Step‑by‑Step Framework to Demonstrate Patient Availability 1. Define the Target Patient Profile Sr.No. Parameter Source Practical Tip 1 Indication‑specific diagnostic criteria Latest ICMR guidelines, disease‑specific consensus statements Keep a copy of the guideline version used at the time of feasibility 2 Biomarker status (e.g., HER2, KRAS) Local pathology labs, central lab validation reports Verify assay turnaround time; request a 30‑day validation window 3 Disease stage / severity Hospital SOPs, oncology registry Capture stage distribution percentages from the past 12 months 4 Concomitant medication restrictions Sponsor protocol List common drugs in use locally; cross‑check with prescription patterns 5 Socio‑economic and literacy considerations Site’s patient‑education records Include an estimate of patients who can complete e‑consent A clear, site‑specific definition of the target population reduces ambiguity when you later quantify availability. Patient Availability Clinical Trial 2. Gather Historical Site Data What works: Sites that maintain a standardized screening log (date, indication, inclusion/exclusion status, outcome) can provide data within 48 hours. What fails: Sites that use handwritten notebooks often miss data, leading to incomplete feasibility reports. 3. Conduct a Field Visit Sr. No. Activity Duration Critical Observation 1 Walk‑through of outpatient department (OPD) 2 hrs Patient flow bottlenecks (registration, triage) 2 Interview of study coordinator 30 min Understanding of SOP adherence, workload 3 Review of electronic medical record (EMR) search capability 45 min Ability to run real‑time queries for inclusion criteria 4 Meet the principal investigator (PI) 30 min PI’s clinical trial experience, commitment level 5 Observe consent process 1 hr Patient comprehension, language barriers A site visit validates the numbers supplied in the logs and uncovers operational friction that may not be captured on paper. Patient Availability Clinical Trial 4. Quantify the Reachable Patient Pool Use the following formula, adjusted for each site: Reachable Pool = (Total diagnosed patients per month) Example (Oncology site in Mumbai): Rounded, the site can realistically enroll 07 patients per month for an EGFR‑targeted trial. 5. Build the Feasibility Package Sr. No. Section Content Requirements 1 Executive Summary High‑level enrolment forecast, risk rating 2 Site Profile Infrastructure, staff FTE, EMR capability 3 Patient Availability Analysis Data sources, calculations, assumptions 4 Risks & Mitigation Patient‑flow, regulatory, competition 5 Recommendations Recruitment strategy, timelines, monitoring plan All tables and calculations must be foot‑noted with the raw data source (e.g., “Screening Log – Jan 2024 – 31 entries”). Patient Availability Clinical Trial Practical Checklist for Feasibility Teams Sr.No. Checklist Item Owner Due Date 1 Obtain signed data‑sharing agreement with site CRO Legal Day 3 2 Request de‑identified screening logs (last 12 months) Feasibility Lead Day 5 3 Validate biomarker assay availability at local lab Lab Liaison Day 7 4 Schedule on‑site visit (incl. PI interview) Operations Manager Day 10 5 Run EMR query for target diagnosis Site IT Day 12 6 Populate Reachable Pool calculation template Analyst Day 14 7 Draft risk matrix (patient‑flow, competition) Risk Officer Day 16 8 Review package with sponsor’s medical lead Sponsor Medical Day 18 9 Final sign‑off and upload to sponsor portal Project Manager Day 20 Common Myths vs. Reality Myth Reality “A site with >200 OPD visits per day automatically guarantees enrolment” High footfall does not translate to eligible patients; inclusion/exclusion criteria filter out >80 % of visitors. “If the PI has published on the disease, the site is recruitment‑ready” Publication record does not reflect current staff capacity or EMR search capability. “Patient availability can be estimated from national disease registries alone” Registries lack granularity on stage, biomarker status, and willingness to participate in trials. “One site visit is sufficient to assess feasibility” Ongoing monitoring of patient flow, especially after competing studies start, is essential. “Electronic consent eliminates all literacy barriers” Language localization, cultural perception of research, and internet access still affect consent rates. Challenges and Mitigation Strategies Challenge Root Cause Mitigation Low consent conversion Complex consent language, lack of patient education Develop site‑specific visual aids; train coordinators in plain‑language communication Inaccurate screening logs Manual data entry errors Implement a lightweight e‑screening tool (e.g., REDCap) with validation rules Competition from parallel trials Same therapeutic area, overlapping eligibility Conduct a competitive landscape analysis; stagger recruitment windows Regulatory delays for biomarker testing Limited accredited labs in tier‑2 cities Pre‑qualify a network of labs; negotiate fast‑track approvals with CDSCO Staff turnover High turnover in contract research staff Maintain a












