HEALTHCARE & HOSPITALS

Polyclinic Referral Doctor Advisory & Hospital Brand Preference Survey

Map how polyclinic referral doctors evaluate, compare, and choose hospital partners based on clinical reputation, patient outcomes, and specialist access, so you can sharpen acquisition positioning, fix referral conversion gaps, and benchmark brand preference by specialty.

Pan-India sample
Polyclinic referral doctors (Active Referring Physicians)
15-20 min
Talk to a Survey Consultant
Referral friction & conversion gapsIdentify where referring doctors hesitate, switch hospitals, or redirect patients mid-referral.
Brand drivers & specialty rankingRank hospital brand attributes by specialty, patient profile, and referral frequency.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most hospital brands don't lose referral volume purely on clinical reputation. They lose it due to weak polyclinic relationships, misaligned specialist availability, poor referral feedback loops, fragmented brand recall, and inconsistent patient handoff experience, none of which fully show up in OPD footfall reports or discharge data.

If you are...

  • Hospital competing for referral share
  • Polyclinic network expansion head
  • Brand and marketing lead
  • Medical affairs or liaison head
  • Revenue and growth strategy lead

You're likely facing...

  • Referral leakage: specialty vs general gap
  • Brand recall drop among GPs
  • Hospital fit confusion: tertiary vs multispecialty
  • Feedback loop breakdown post-referral
  • Loyalty erosion: competing hospital outreach

This will help answer...

  • Referral preference drivers by specialty
  • Referral drop-off stage and trigger
  • Doctor segment vs hospital brand fit
  • Fee and process friction points
  • Switching triggers and retention levers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete referral doctor journey from first contact to sustained hospital advocacy.

TENETS 01

Referral Triggers

  • Conditions prompting specialist referral
  • Urgency levels driving hospital choice
TENETS 02

Hospital Preference

  • Top hospitals ranked by referral volume
  • Preference shifts over past 12 months
TENETS 03

Brand Perception

  • Hospital brand recall among polyclinic doctors
  • Perception gaps vs. actual clinical experience
TENETS 04

Liaison & Engagement

  • Hospital relationship manager contact frequency
  • CME, visit, and co-branding touchpoints
TENETS 05

Referral Friction

  • Admission delays and bed confirmation gaps
  • Documentation and discharge summary failures
TENETS 06

Specialist Trust

  • Named consultant preference by specialty
  • Trust built through case outcome feedback
TENETS 07

Patient Feedback Loop

  • Patient-reported hospital experience post-referral
  • Negative feedback impact on future referral decisions
TENETS 08

Competitive Switching

  • Conditions that trigger referral network reallocation
  • Rival hospital gains among polyclinic cohorts

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?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Polyclinic Referral Doctor Advisory and Hospital Brand Preference 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 hospital brand preference by specialty.
2
Measuring referral frequency and channel patterns.
3
Comparing segments by city, specialty, and clinic size.
Deliverables
Brand preference ranking
Referral driver matrix
Segment comparison cuts
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Solo-practice doctors with low digital engagement.
2
Rapid coverage across Tier 2 and Tier 3 towns.
Deliverables
Referral pattern data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-volume referrers requiring in-depth advisory profiling.
2
Polyclinics in dense urban corridors needing contextual verification.
Deliverables
Referrer journey maps
Clinic-level insights
OPTIONAL
FGDs
Deliverables
Themes and quotes
Brand perception 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, targeting polyclinic referral doctors across specialties and city tiers, supported by CATI for solo practitioners and Tier 2 markets with low digital access.
Consider adding: Face-to-face interviews for high-volume referrers in priority urban corridors, and a focused FGD layer to pressure-test hospital brand positioning and referral advisory messaging.

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 healthcare referral and hospital preference space.

CASELET 1

Specialist referral channel mapping & hospital brand preference (South India)

CASELET 2

Doctor advisory messaging & hospital positioning audit (West India)

Specialist referral channel mapping & hospital brand preference (South India)

OBJECTIVE

A multi-specialty hospital group needed to quantify how general practitioners and polyclinic-based physicians shortlist and rank tertiary care facilities, and which clinical reputation signals and relationship touchpoints drive active referral decisions.

WHAT WE DID

Ran a structured quant survey across 280 referring doctors in 6 cities, capturing hospital shortlist composition, referral frequency by specialty, key influencer contacts, detailing visit recall, and satisfaction with post-referral feedback loops from receiving hospitals.

DELIVERED

A referral preference map by specialty and city tier, a ranked brand attribute framework separating clinical trust signals from relationship-driven levers, and a segment-level friction list identifying where competing hospitals captured referrals at the point of decision.
CASELET 1

Specialist referral channel mapping & hospital brand preference (South India)

CASELET 2

Doctor advisory messaging & hospital positioning audit (West India)

Specialist referral channel mapping & hospital brand preference (South India)

OBJECTIVE

A multi-specialty hospital group needed to quantify how general practitioners and polyclinic-based physicians shortlist and rank tertiary care facilities, and which clinical reputation signals and relationship touchpoints drive active referral decisions.

WHAT WE DID

Ran a structured quant survey across 280 referring doctors in 6 cities, capturing hospital shortlist composition, referral frequency by specialty, key influencer contacts, detailing visit recall, and satisfaction with post-referral feedback loops from receiving hospitals.

DELIVERED

A referral preference map by specialty and city tier, a ranked brand attribute framework separating clinical trust signals from relationship-driven levers, and a segment-level friction list identifying where competing hospitals captured referrals at the point of decision.

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 general practitioners, specialist consultants and polyclinic medical officers?

How will you measure hospital brand preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our referral network growth strategy?

Still have questions?

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

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