Samposhyam Foundation
Upcoming Initiative Pilot Study 2026

Oral Cancer Awareness:
Why NOMI-E Changes Everything

A culturally grounded qualitative framework for mapping paan and smokeless tobacco exposure in West Bengal, where structured KAP surveys fall short.

A Samposhyam Foundation Research Initiative

Why Standard Approaches Miss the Mark

Paan consumption in West Bengal is not a simple "knowledge deficit" problem. It is ritualistic, occupational, intergenerational, and deeply woven into social identity. Standard KAP (Knowledge, Attitude, Practice) surveys produce numerically tidy findings that do not faithfully represent the behavioural reality on the ground.

The NOMI-E (Extended) Behavioural Exposure Framework was developed from the ground up for precisely this setting, building on Samposhyam's validated four-pillar methodology from the Sundarbans Delta.

Traditional KAP Survey

1
Pre-coded categories assume universal risk perception models
2
Binary knowledge/ignorance framing misses "knowing but choosing"
3
Cannot capture ritual, occupational, or identity-linked consumption
4
Requires validated instruments, large samples, trained enumerators (~INR 15L for proper execution)
5
Outputs: frequency tables and percentages; outcomes remain "primarily thematic"

NOMI-E Framework

Four-pillar lens captures socioecological, resilience, equity, and knowledge dimensions simultaneously
Paan Composition Exposure Mapping: ingredient-level detail of actual preparations consumed
Captures cultural embeddedness: ritual, occupational, intergenerational transmission pathways
Lean pilot design: 50-67 participants, 3 groups, FGDs + IDIs; context-fit without massive budgets
Outputs: validated instrument, awareness briefs, actionable policy recommendations, working paper

NOMI-E: Four Pillars Applied to Oral Cancer

The same four-pillar methodology validated in the Sundarbans (317 codes, 19 themes, 473 relationships), now extended to behavioural exposure mapping for paan and smokeless tobacco.

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NSS: Socioecological Exposure

Supply chains, vendor ecosystems, ingredient availability, zarda/lime/catechu sourcing patterns, seasonal and economic drivers of consumption

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OR: Observational Resilience

Quit attempts and barriers, harm reduction practices, occupational coping, community-level adaptive strategies, NRT readiness signals

MLE: Multi-Lens Equity

Gendered consumption patterns, occupational exposure (drivers, labourers), age-cohort differences, socioeconomic access to cessation support

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IK: Inclusive Knowledge

Intergenerational transmission of paan rituals, cultural framing ("digestive", "mouth freshener"), traditional health beliefs, community credible messengers

The Sundarbans Benchmark: Why This Works

Before extending to oral cancer, NOMI was validated through 44 in-depth interviews in the Indian Sundarbans, producing one of the most densely coded qualitative frameworks in food systems research. These are real numbers from our database.

0
Codes
0
Themes
0
Relationships
0
Evidence
0
Respondents
0
% Cross-Pillar

Cross-Pillar Relationship Network

Each pillar connects to every other through directional relationships. The thickness of each connection reflects the number of validated relationships. This interconnectedness is what makes NOMI powerful: it reveals how food system dimensions interact, not just what they contain.

For oral cancer: the same network architecture maps how socioecological supply chains (NSS), quit resilience (OR), gendered exposure (MLE), and cultural transmission (IK) interact to shape paan consumption patterns.

NSS connections (highest: 141 relationships)
OR connections (112 relationships)
MLE connections (82 relationships)
IK connections (138 relationships)
NSS 95 codes OR 75 codes IK 87 codes MLE 60 codes 52 50 39 31 29 12 6 RELATIONSHIP TYPES: Leads To (206) | Supports (69) | Is Cause Of (65) | Is Associated With (54) | Impacts On (42) | Barrier (37)

Relationship Type Distribution (473 total)

Leads To
206
Supports
69
Is Cause Of
65
Associated With
54
Impacts On
42
Barrier
37

Why NOMI-E Outperforms KAP for This Context

Cultural Depth Equity Capture Actionability Cost Efficiency Policy Translation Measurability
NOMI-E Framework
KAP Survey
  • Cultural Depth: ritual, identity, intergenerational transmission 95%
  • Equity Capture: gendered, occupational, age-specific exposure 90%
  • Actionability: validated instruments, awareness briefs, NRT readiness 95%
  • Cost Efficiency: lean pilot vs 15L KAP infrastructure 85%
  • Policy Translation: One Health pathway to cancer centre vision 90%
  • Measurability: CQT convergence scoring + AMRP benchmarking 85%

6-Month Pilot Pipeline

2-3 sites in urban and peri-urban Kolkata. 50-67 participants across 3 purposive groups. Bengali-language fieldwork with audio-recorded transcription.

1

Ethics + Training

IRB clearance, instrument development, field researcher training

2

Pilot Test

Exposure mapping instrument with 5-8 participants

3

Data Collection

6-8 FGDs, 15-20 IDIs, paan composition mapping

4

Analysis

Reflexive thematic analysis, member checking

5

CQT Validation

Literature triangulation, CoE scoring

6

Outputs

Pilot report, awareness brief, policy recommendations

Six Reasons NOMI-E is a Gamechanger

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Ingredient-Level Precision

The Paan Composition Exposure Mapping Instrument captures exact ingredients (zarda, lime, catechu, supari varieties) per preparation, not just "uses tobacco: yes/no."

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Proven Framework, New Domain

NOMI has been validated with 317 codes, 473 relationships, and 4,533 evidence records in the Sundarbans. The oral cancer extension (NOMI-E) inherits this methodological rigour.

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Three Participant Streams

Users (30-40), vendors/paanwalas (10-15), and community health workers/ASHAs (8-12) give triangulated perspectives that KAP's single-respondent design cannot.

⚖️

Equity-First Design

Gender-segregated FGDs, explicit inclusion of women users, occupational groups (drivers, labourers, domestic workers), and age cohorts reveal differential exposure pathways.

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Measurable Outputs

CQT convergence scoring and AMRP benchmarking deliver quantified evidence quality metrics, not just themes. Measurable outcomes from day one.

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NRT Phase II Ready

NOMI-E qualitative findings directly inform which populations, which exposure profiles, and which message frames will make NRT intervention most effective.

From Pilot to Cancer Centre: The Pathway

Samposhyam Foundation's vision is to build a scalable cancer prevention evidence base. NOMI-E provides the qualitative foundation that makes grant applications compelling and interventions context-appropriate.

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Phase I: Pilot

NOMI-E qualitative mapping, validated instrument, awareness brief

2026
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Phase II: NRT Trial

Combined KAP + NRT intervention guided by NOMI-E exposure profiles

2027
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Phase III: Scale-Up

Multi-site expansion, grant applications leveraging pilot evidence

2028
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Phase IV: Centre

Cancer prevention and control centre with evidence-based programme design

2029+

Research Design Delivery: Mid-April 2026

The full workable research design, with defined study locations, participant numbers, and named researchers, is in preparation.

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