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Home ❯Ken Survey ❯
PREVENTIVE HEALTHCARE

Preventive Healthcare Behaviour Study

Understand how adults evaluate screening needs, compare preventive services, and choose vaccination, check-up, and wellness options, so you can sharpen segmentation, improve channel strategy, and strengthen acquisition, pricing, and retention decisions.

Pan-India sample
Adults (Personal health decision-makers)
15-20 min
Talk to a Survey Consultant
Intent & ActionIdentify conversion barriers across check-ups, screenings, vaccinations, and wellness plans.
Risk & ReadinessMap risk perceptions, trigger moments, and prevention readiness across segments.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31
container image

CONTEXT & RELEVANCE

Why run this survey now

Most adults don't lose preventive momentum purely on low awareness. They disengage due to perceived invulnerability, unclear guidance, cost concerns, access friction, and competing priorities, none of which fully show up in claims data or satisfaction scores.

If you are...

  • Preventive care strategy leaders
  • Health insurer product teams
  • Hospital outpatient growth heads
  • Diagnostic network marketing teams
  • Employer wellness programme owners

You're likely facing...

  • High awareness still produces low screening completion across priority cohorts.
  • Preventive packages face weak perceived relevance among younger adults.
  • Fragmented reminders create inconsistent follow-through across channels and providers.
  • Rising out-of-pocket costs are delaying preventive action for families.
  • Positive first visits coexist with low repeat adherence to recommended schedules.

This will help answer...

  • Screening trigger hierarchy
  • Segment-specific prevention barriers
  • Channel conversion levers
  • Package pricing corridors
  • Retention reminder pathways

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete preventive healthcare journey from risk awareness to sustained adherence.

TENETS 01

Risk Awareness

  • Perceived susceptibility levels
  • Condition knowledge gaps
TENETS 02

Prevention Triggers

  • Trigger event hierarchy
  • Social influence pathways
TENETS 03

Screening Behaviour

  • Screening uptake frequency
  • Completion barrier patterns
TENETS 04

Vaccination Choices

  • Adult vaccine acceptance
  • Confidence barrier profile
TENETS 05

Check-up Selection

  • Package choice criteria
  • Service bundle expectations
TENETS 06

Access & Affordability

  • Access friction points
  • Affordability threshold bands
TENETS 07

Provider & Channel

  • Provider trust signals
  • Channel booking preferences
TENETS 08

Adherence & Advocacy

  • Repeat adherence drivers
  • Referral intention signals
Request a scope validation call

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
Urban adultsParents with dependantsChronic-risk adultsWorking professionalsOlder adults
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Age: 18-29 vs 30-49 vs 50+Prevention status: Non-users vs occasional users vs regular usersHealth risk: Low-risk vs moderate-risk vs high-riskCoverage: Uninsured vs employer-covered vs retail-insuredLocation tier: Metro vs Tier 1 vs Tier 2+
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected

METHODOLOGY

Survey approach

For Preventive Healthcare Behaviour Study, we recommend a quant-led behavioural segmentation approach with flexible data-collection modes to balance reach, depth, and verification across diverse risk, age, and access cohorts.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Quantify prevention participation
2
Compare risk-based segments
3
Model screening conversion
Deliverables
Behaviour segment map
Trigger priority matrix

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the preventive healthcare space.

CASELET 1

Consumer Preventive Check-up Package Positioning Across Urban India

CASELET 2

Employer Wellness Subscription Design for Indian Multi-city Workforces

Consumer Preventive Check-up Package Positioning Across Urban India

OBJECTIVE

A pan-India diagnostic network needed to compare salaried adults , young parents , and older households on awareness, consideration, package selection, and willingness to switch between basic panels , comprehensive packages , and doctor-led plans.

WHAT WE DID

We ran a structured online survey across metros and Tier 1 cities, balancing age, insurance coverage, and prior check-up use while capturing brand salience , benefit relevance , price thresholds, channel preference, and package trade-offs.

DELIVERED

The study produced a preference map , message territories , pricing corridor , and channel levers , with segment-specific guidance on package naming, benefit hierarchy, proof points, and acquisition pathways for priority consumer cohorts.
Talk to Survey Consultant
CASELET 1

Consumer Preventive Check-up Package Positioning Across Urban India

CASELET 2

Employer Wellness Subscription Design for Indian Multi-city Workforces

Consumer Preventive Check-up Package Positioning Across Urban India

OBJECTIVE

A pan-India diagnostic network needed to compare salaried adults , young parents , and older households on awareness, consideration, package selection, and willingness to switch between basic panels , comprehensive packages , and doctor-led plans.

WHAT WE DID

We ran a structured online survey across metros and Tier 1 cities, balancing age, insurance coverage, and prior check-up use while capturing brand salience , benefit relevance , price thresholds, channel preference, and package trade-offs.

DELIVERED

The study produced a preference map , message territories , pricing corridor , and channel levers , with segment-specific guidance on package naming, benefit hierarchy, proof points, and acquisition pathways for priority consumer cohorts.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between non-users, occasional users and regular users?

How will you measure preventive care choices beyond simple ratings?

Will the survey map the full prevention journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our screening conversion and repeat adherence?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call
Channel conversion model
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Reach older adults with limited digital access
2
Probe non-users needing interviewer clarification
Deliverables
Older adult cut
Non-user barriers
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Engage lower-connectivity households in priority localities
2
Validate access barriers near care facilities
Deliverables
Locality access map
Facility friction list
OPTIONAL
FGDs
Best for
1
Uncover emotional resistance to screenings and adult vaccinations
2
Explore language cues shaping prevention package relevance
Deliverables
Prevention message territories
Package language guide
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey across adult risk and preventive usage cohorts
Consider adding: CATI for older adults and preventive non-users
Confirm approach
Request timeline