HOSPITAL & HEALTHCARE

Hospital Chain Brand Salience & Patient First-Choice Recall Survey

Patients evaluate hospital reputation, proximity, and specialist availability when choosing a care provider, so you can sharpen brand positioning, fix acquisition gaps, and benchmark first-choice recall across target geographies.

Pan-India sample
Healthcare consumers (Primary Decision-Makers)
15-20 min
Talk to a Survey Consultant
First-choice recall & conversionIdentify which brand cues convert patient consideration into confirmed first-choice selection.
Salience drivers & segment gapsBenchmark brand salience scores across patient segments, geographies, and care categories.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most hospital chains don't lose first-choice status purely on clinical outcomes. They lose it due to weak brand recall, fragmented patient experience, inconsistent specialist reputation, poor discharge communication, and misread catchment loyalty, none of which fully show up in OPD footfall reports or patient satisfaction scores.

If you are...

  • Multi-city hospital chain operator
  • Single-city network vs. national chain
  • Brand and marketing head
  • Network growth or expansion lead
  • Patient experience strategy lead

You're likely facing...

  • First-choice recall: chain vs. standalone
  • Specialist reputation vs. brand recall gap
  • Referral source attribution confusion
  • Catchment loyalty: eroding vs. stable
  • New facility awareness vs. footfall lag

This will help answer...

  • First-choice recall drivers by segment
  • Referral-to-visit conversion drop-off
  • Brand salience across catchment zones
  • Specialist vs. chain brand attribution
  • Switching triggers and retention signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete patient journey from symptom onset to post-discharge advocacy.

TENETS 01

Recall & Salience

  • Unaided hospital chain recall
  • Top-of-mind brand triggers
TENETS 02

First-Choice Drivers

  • Primary selection criteria, planned care
  • Specialist reputation vs. chain brand
TENETS 03

Brand Perception

  • Clinical excellence associations by chain
  • Perceived quality vs. cost positioning
TENETS 04

Referral & Discovery

  • Physician referral vs. self-navigation
  • Digital touchpoints before first visit
TENETS 05

Experience & Friction

  • Admission, billing, discharge pain points
  • Wait time vs. care quality trade-offs
TENETS 06

Loyalty & Retention

  • Repeat visit intent by care category
  • Loyalty programme awareness and uptake
TENETS 07

Trust & Advocacy

  • Net recommendation intent by chain
  • Peer referral triggers post-discharge
TENETS 08

Competitive Positioning

  • Perceived differentiation across top chains
  • Specialty strength rankings by brand

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?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Hospital Chain Brand Salience and Patient First-Choice Recall Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measuring unaided and aided hospital brand recall
2
Ranking first-choice drivers across specialties
3
Comparing segments by city tier, age, and payer type
Deliverables
Brand salience scores
First-choice driver ranking
Segment recall matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older patients with low digital comfort
2
Quick recall pulse across Tier 2 and 3 cities
Deliverables
Tier-wise recall data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-value patients in premium or surgical cohorts
2
Catchment-level brand perception near hospital clusters
Deliverables
Catchment insights
Rich patient journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Messaging feedback
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 as the core quant layer, covering metro and Tier 2 patients across key specialties and payer segments.
Consider adding: CATI for low-digital and older patient cohorts in Tier 2 and Tier 3 cities, plus a focused FGD layer to diagnose the emotional and referral cues behind first-choice hospital selection.

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
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$0.00

+ applicable taxes

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 hospital brand perception space.

CASELET 1

Specialist care preference & facility shortlisting behaviour (South India)

CASELET 2

Discharge experience & re-admission intent gap (North India)

Specialist care preference & facility shortlisting behaviour (South India)

OBJECTIVE

A multi-city hospital network needed to map how urban middle-income patients and referred outpatients shortlist facilities for elective specialist care , and which trust signals convert consideration into a confirmed first appointment.

WHAT WE DID

Ran a structured quant survey across 6 cities with 480 respondents, capturing facility shortlist composition , referral source weight , digital touchpoint sequence , and the specific trust cues that advanced or stalled the booking decision.

DELIVERED

A facility preference map by city tier, a ranked list of trust signal priorities by patient segment, a shortlisting friction list , and a set of channel levers tied to each stage of the pre-appointment journey.
CASELET 1

Specialist care preference & facility shortlisting behaviour (South India)

CASELET 2

Discharge experience & re-admission intent gap (North India)

Specialist care preference & facility shortlisting behaviour (South India)

OBJECTIVE

A multi-city hospital network needed to map how urban middle-income patients and referred outpatients shortlist facilities for elective specialist care , and which trust signals convert consideration into a confirmed first appointment.

WHAT WE DID

Ran a structured quant survey across 6 cities with 480 respondents, capturing facility shortlist composition , referral source weight , digital touchpoint sequence , and the specific trust cues that advanced or stalled the booking decision.

DELIVERED

A facility preference map by city tier, a ranked list of trust signal priorities by patient segment, a shortlisting friction list , and a set of channel levers tied to each stage of the pre-appointment journey.

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 metro patients, tier-2 city patients and rural catchment patients?

How will you measure hospital first-choice preference beyond simple ratings?

Will the survey map the full patient care-seeking journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our patient acquisition and network growth targets?

Still have questions?

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

Book a Discovery Call