HEALTHCARE & HOSPITALS

Hospital Brand Trust & Referral Behaviour Survey

Patients, caregivers, and referring physicians evaluate, compare, and choose hospitals based on reputation, specialist access, and post-care experience, so you can sharpen acquisition positioning, convert referral channel investment, and reduce patient attrition.

Pan-India sample
Patients & caregivers (Recent Hospital Decision-Makers)
15-20 min
Talk to a Survey Consultant
Trust signals & referral triggersIdentify which reputation cues convert a referred patient into a confirmed admission.
Segment loyalty & switching riskBenchmark trust scores and defection likelihood across patient segments and specialties.
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

CONTEXT & RELEVANCE

Why run this survey now

Most hospitals don't lose patients or referral partners purely on clinical outcomes. They lose them due to unresolved trust gaps, inconsistent specialist referral experiences, weak post-discharge communication, misread reputation signals, and misaligned expectations across care touchpoints, none of which fully show up in patient satisfaction scores or discharge feedback forms.

If you are...

  • Hospital brand or marketing head
  • Competing against multi-specialty chains
  • Referral network development lead
  • Patient experience or quality head
  • Hospital group strategy director

You're likely facing...

  • Referral drop-off: GP to specialist stage
  • Trust gap: perception vs. actual care
  • Brand recall: weak among new catchments
  • Loyalty erosion post-discharge
  • Competing chains = faster/cheaper perception

This will help answer...

  • Top referral trust drivers
  • Referral drop-off stage
  • Segment-wise brand perception gaps
  • Fee fairness vs. care quality tension
  • Switching triggers post-treatment

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete patient journey from initial hospital awareness to active referral advocacy.

TENETS 01

Brand Awareness & Recall

  • Unaided vs. aided hospital recall
  • First-heard channel, source type
TENETS 02

Trust Formation

  • Clinical reputation, accreditation signals
  • Trust triggers before first visit
TENETS 03

Referral Drivers

  • Physician referral vs. self-selection rate
  • Referral source type, specialty context
TENETS 04

Experience & Perception

  • Ward, OPD, and discharge experience
  • Staff interaction quality, wait times
TENETS 05

Pricing & Billing Trust

  • Cost transparency, estimate accuracy
  • Insurance claim friction, out-of-pocket shock
TENETS 06

Digital & Communication

  • Online booking, app, portal usage
  • Pre- and post-discharge communication gaps
TENETS 07

Loyalty & Retention

  • Return visit intent, condition recurrence
  • Loyalty programme awareness, usage rate
TENETS 08

Advocacy & Referral Intent

  • Word-of-mouth referral frequency, triggers
  • Online review posting behaviour, barriers

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 Brand Trust and Referral Behaviour 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
Ranking trust drivers across hospital categories
2
Measuring referral source patterns by specialty
3
Comparing segments by geography, payer type, and demographics
Deliverables
Trust driver ranking
Referral source matrix
Segment comparison scorecard
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older patient cohorts with low digital access
2
Quick coverage across Tier 2 and Tier 3 cities
Deliverables
Geographic coverage 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 choosing premium or tertiary hospitals
2
Physicians and general practitioners driving referral decisions
Deliverables
Referral pathway maps
Physician trust profiles
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, supported by CATI to capture patient segments with lower digital engagement across Tier 2 and Tier 3 markets.
Consider adding: Face-to-face interviews for referring physicians and premium patient cohorts, plus a focused FGD layer to pressure-test trust messaging and referral communication strategies.

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 and patient experience space.

CASELET 1

Patient channel preference & specialist referral triggers (South India)

CASELET 2

Physician advocacy & hospital recommendation messaging (West India)

Patient channel preference & specialist referral triggers (South India)

OBJECTIVE

A mid-size multi-specialty hospital group needed to map how first-time outpatients and repeat patients choose between general practitioners , digital health platforms , and direct walk-ins when initiating specialist care.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 4 cities, capturing referral source, decision timeline, trust signals, prior brand exposure, and the specific moment at which facility preference was formed.

DELIVERED

A referral source map by patient segment, a ranked trust signal framework across touchpoints, and a channel levers list identifying where brand perception shifts before the first appointment is booked.
CASELET 1

Patient channel preference & specialist referral triggers (South India)

CASELET 2

Physician advocacy & hospital recommendation messaging (West India)

Patient channel preference & specialist referral triggers (South India)

OBJECTIVE

A mid-size multi-specialty hospital group needed to map how first-time outpatients and repeat patients choose between general practitioners , digital health platforms , and direct walk-ins when initiating specialist care.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 4 cities, capturing referral source, decision timeline, trust signals, prior brand exposure, and the specific moment at which facility preference was formed.

DELIVERED

A referral source map by patient segment, a ranked trust signal framework across touchpoints, and a channel levers list identifying where brand perception shifts before the first appointment is booked.

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 public hospital patients, private hospital patients and super-specialty facility patients?

How will you measure hospital brand trust beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our referral network and patient acquisition strategy?

Still have questions?

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

Book a Discovery Call