HEALTHCARE & PATIENT SERVICES

Patient Unmet Post-Discharge Support & Follow-Up Communication Survey

Capture how recently discharged patients evaluate, navigate, and weigh post-discharge communication, follow-up responsiveness, and care continuity gaps, so you can sharpen retention protocols, reduce readmission risk, and benchmark discharge support positioning.

Pan-India sample
Discharged patients (Post-Hospitalization, within 90 days)
15-20 min
Talk to a Survey Consultant
Follow-up friction & drop-offsIdentify where patients disengage from post-discharge communication or miss critical follow-up touchpoints.
Support gaps & readmission signalsDiagnose unmet care needs, recovery stage breakdowns, and unaddressed discharge instruction failures.
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CONTEXT & RELEVANCE

Why run this survey now

Most health systems don't lose patients post-discharge purely on clinical outcomes. They lose them due to fragmented follow-up protocols, unclear discharge instructions, missed medication adherence windows, poor care coordinator reach, and unresolved recovery questions, none of which fully show up in readmission rates or patient satisfaction scores.

If you are...

  • Hospital post-discharge program lead
  • Health plan care transitions team
  • Patient engagement platform provider
  • Chief Medical Officer or CMO office
  • Revenue cycle and readmission risk head

You're likely facing...

  • Follow-up contact: timing vs. completion gap
  • Discharge instruction clarity vs. recall gap
  • Care coordinator reach: phone vs. digital
  • Readmission risk: undetected early warning
  • Patient trust erosion post-discharge

This will help answer...

  • Preferred post-discharge contact channels
  • Follow-up dropout stage and trigger
  • Segment gaps: chronic vs. acute patients
  • Unmet support needs by condition type
  • Switching or disengagement risk drivers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete patient journey from hospital discharge to sustained recovery.

TENETS 01

Discharge Readiness

  • Perceived preparedness at discharge
  • Instruction clarity, medication briefing
TENETS 02

First-Week Gaps

  • Symptom escalation, unplanned contacts
  • Support access within 72 hours
TENETS 03

Follow-Up Scheduling

  • Appointment booking friction, no-show drivers
  • Time-to-first follow-up visit
TENETS 04

Communication Channels

  • Preferred outreach format, frequency
  • SMS, portal, phone call uptake
TENETS 05

Medication Adherence

  • Prescription fill rate, missed doses
  • Side-effect reporting, pharmacist contact
TENETS 06

Care Coordination

  • Specialist referral handoff quality
  • Primary care, hospital information transfer
TENETS 07

Emotional & Social Support

  • Caregiver involvement, isolation risk
  • Mental health check-in frequency
TENETS 08

Readmission Risk

  • 30-day return visit triggers
  • Preventable escalation, warning sign gaps

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 Patient Unmet Post-Discharge Support and Follow-Up Communication 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
Rating post-discharge follow-up frequency and adequacy
2
Ranking unmet support needs by condition type
3
Comparing gaps across discharge pathways and care settings
Deliverables
Unmet needs ranking
Follow-up gap matrix
Segment-level benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Elderly or low-digital patients post-discharge
2
Reaching rural and semi-urban patient cohorts
Deliverables
Representative patient coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-acuity patients requiring sensitive condition verification
2
Caregivers managing complex post-discharge support needs
Deliverables
Caregiver journey maps
High-acuity cohort insights
OPTIONAL
FGDs
Deliverables
Themes and quotes
Communication concept 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 for elderly and low-digital patients who are harder to reach through digital panels.
Consider adding: Face-to-face interviews for high-acuity and caregiver cohorts, plus a focused FGD layer to pressure-test follow-up communication formats before any protocol redesign.

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)
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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 patient care and hospital services space.

CASELET 1

Post-hospitalization care gap mapping & channel preference (India)

CASELET 2

Caregiver communication burden & discharge briefing quality (South India)

Post-hospitalization care gap mapping & channel preference (India)

OBJECTIVE

A mid-size hospital network needed to identify where recently discharged patients across surgical and chronic condition cohorts dropped out of recovery protocols, and which follow-up touchpoints they trusted versus ignored.

WHAT WE DID

Ran a structured quant survey across 480 patients in 6 cities, capturing discharge instruction recall, preferred contact channel, follow-up response rate, medication adherence triggers, and satisfaction with nursing helpline interactions within 30 days of discharge.

DELIVERED

A care gap map by condition cohort, a ranked channel preference framework segmented by age and literacy level, and a friction list identifying the 4 highest-dropout moments in the first 14 days post-discharge.
CASELET 1

Post-hospitalization care gap mapping & channel preference (India)

CASELET 2

Caregiver communication burden & discharge briefing quality (South India)

Post-hospitalization care gap mapping & channel preference (India)

OBJECTIVE

A mid-size hospital network needed to identify where recently discharged patients across surgical and chronic condition cohorts dropped out of recovery protocols, and which follow-up touchpoints they trusted versus ignored.

WHAT WE DID

Ran a structured quant survey across 480 patients in 6 cities, capturing discharge instruction recall, preferred contact channel, follow-up response rate, medication adherence triggers, and satisfaction with nursing helpline interactions within 30 days of discharge.

DELIVERED

A care gap map by condition cohort, a ranked channel preference framework segmented by age and literacy level, and a friction list identifying the 4 highest-dropout moments in the first 14 days post-discharge.

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 surgical discharge patients, medical discharge patients and chronic condition discharge patients?

How will you measure follow-up communication preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our patient retention and readmission reduction program?

Still have questions?

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

Book a Discovery Call