Research report · 2026 Sentiment Report 12 min read · Updated April 2026

What patients actually say.

A sentiment analysis of 7,823 mentor–patient conversations — cross-referenced with 12,400+ public forum posts, 14 peer-reviewed studies, and 3 national surveys. What patients share when they feel safe enough to be honest.

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Executive summary

Patients are talking.
Just not to you.

If you only read this
  • 84% of patients withhold a concern from their prescriber — the ones that actually predict adherence.
  • 72 hrs is the median time from first mentor conversation to treatment decision. Not 72 days.
  • Zero of the top 10 questions that predict conversion are clinical. All are experiential.
  • 69 days faster to initiation for patients connected to a peer mentor vs. those who aren't.

Your patients have fears, questions, and deal-breakers that determine whether they start treatment, stay on therapy, or quietly disappear. But they're not sharing them in clinical encounters, satisfaction surveys, or PSP intake calls. They're sharing them with people who've been there.

This report analyzes 7,823 mentor–patient conversations on the PatientPartner platform across six therapy areas, combined with a systematic review of 12,400+ public forum posts from Reddit, Inspire, HealthUnlocked, and PatientsLikeMe, plus 14 peer-reviewed qualitative studies and 3 national sentiment surveys.

What we found challenges fundamental assumptions about why patients drop off, what they actually need to hear, and when they make their real decision.

Why this matters for your organization

Non-adherence costs the U.S. healthcare system $100–300 billion annually and contributes to 125,000 preventable deaths per year. Most patient support programs answer the questions patients are comfortable asking in clinical settings — not the ones that actually drive adherence.

Inside the report

Five findings.
One uncomfortable truth.

Finding 01

What patients tell doctors
vs. what they actually feel.

Clinical encounters capture what patients are willing to say in a 15-minute window with a medical authority. Peer conversations capture what they actually think.


Across 7,823 mentor conversations, we identified a consistent pattern: patients bring a different version of themselves to mentor conversations than they bring to clinical encounters.

To doctors

"What are the side effects?"

To mentors

"Be honest — how bad was the first month? Could you still work? Did your family notice?"

Why it matters

Patients want the lived experience of side effects, not the clinical profile. 78% of side-effect questions referenced daily-life impact.

To doctors

"How long is recovery?"

To mentors

"When did you actually feel like yourself again? Not what the doctor said — when did you really feel normal?"

Why it matters

Patients distrust clinical recovery timelines. 62% of conversations included "what's the real timeline?"

To doctors

"Okay, I'll think about it."

To mentors

"I've been putting this off for 4 months. I'm scared and I don't know if I'm making the right decision."

Why it matters

40.2% of patients report reluctance to start medication, but 88.6% of physicians estimate ≤20% of their patients are reluctant. Movement Disorder Society, n=469

To doctors

"I understand the treatment plan."

To mentors

"I nodded but I don't really understand why I need this specific drug. Is there something less aggressive?"

Why it matters

Comprehension signaling ≠ comprehension. 71% of patients in non-initiation studies cited inadequate understanding. Gil-Girbau et al., 2020

To doctors

"No other questions."

To mentors

"Can I ask you something personal? Did it affect my sex life / weight / ability to have kids?"

Why it matters

The most common "unasked" questions relate to intimate life impact — topics patients consider too personal for clinical settings.

Finding 02

What patients are actually afraid of.

Every fear-related statement across 7,823 conversations, categorized and ranked — then validated against forum data and peer-reviewed research.


01
Side effects disrupting daily life
0%
02
Making the wrong treatment choice
0%
03
Financial burden · insurance uncertainty
0%
04
Loss of identity — "becoming a patient"
0%
05
Impact on relationships & intimate life
0%
06
Long-term / cumulative effects
0%
07
Being judged for needing treatment
0%
08
Procedure / injection / administration anxiety
0%
% of mentor conversations mentioning the fear at least once · n=7,823
Patients who express fears #1 or #2 without peer validation are 3.4× more likely to delay treatment beyond 90 days — 97 days unconnected vs. 28 days with a mentor.
Finding 02 · continued

How fears shift by therapy area.

While the fear hierarchy holds across the dataset, the intensity and expression varies significantly — suggesting one-size-fits-all patient education is structurally misaligned.


n = 2,147Autoimmune / Biologics
#1 Fear
Side effects
81%
#2 Fear
Long-term effects
64%

Patients delay biologics an avg. of 4.2 months after Rx. "I'd rather have the pain than feel like that" is recurring.

n = 1,893Surgical Procedures
#1 Fear
Wrong choice
74%
#2 Fear
Recovery timeline
71%

"When did you really feel normal?" asked in 71% of pre-surgical conversations.

n = 1,412Women's Health
#1 Fear
Fertility / family
69%
#2 Fear
Being judged
52%

Highest rate of "I haven't told anyone about this." 43% started with "I feel alone in this."

n = 1,204Type 2 Diabetes
#1 Fear
Identity
67%
#2 Fear
Financial burden
59%

Highest resistance to initiation. Mentors who share their own resistance story have 2.1× higher engagement.

n = 689Oncology Support
#1 Fear
Side effects
77%
#2 Fear
Impact on family
68%

Emotional weight is categorically different. 91% include explicit expressions of fear.

n = 478Medical Devices
#1 Fear
Wrong choice
72%
#2 Fear
Procedure anxiety
61%

Most questions per conversation: 4.7 avg. Decision complexity drives extended deliberation.

The pattern across all therapy areas

The single most powerful moment in a mentor conversation is when the mentor says a version of: "I felt the same way." This phrase appeared in 89% of conversations that resulted in treatment initiation — the "mutual understanding and solidarity" peers uniquely provide.

It's very difficult to open up to loved ones. But with someone who's been through it, you can just… be honest. They already know.
Peer support study participant · Frontiers in Psychology, 2026
Finding 03

When patients really decide.

Most PSPs assume a linear journey: diagnosis → education → decision → action. Our data shows the real journey is nonlinear, emotionally gated, and has a specific inflection point.


Day0–7
The Shock Window
72% of patients report feeling "overwhelmed" in the first week. Information retention is lowest at this stage. Yet this is when most patient education is delivered. Fisher et al., 2019
Day7–30
The Silent Research Phase
Patients turn to Google, forums, and social media. 67% of 18–34 year-olds believe a well-researched patient is equivalent to a doctor in knowledge. Edelman Trust Barometer, 2025. They're seeking experiential data — not clinical data.
Day14–45
The Deliberation Window Critical
Patients either find a trusted peer voice or they stall. Patients who connected with a mentor in this window were 68% more likely to begin treatment. Patients who didn't connect had a 41% probability of non-initiation.
72 hrs
The 72-hour inflection Inflection point
Median time from first mentor conversation to treatment decision: 72 hours. Not 72 days. Once a patient hears "I felt the same way, and here's what happened for me," the decision framework shifts from risk-avoidance to possibility. 71% said their mentor was critical to moving forward.
Day45+
Commitment or drop-off
Without peer connection, this is where patients quietly disappear. They don't call to cancel — they just stop responding. Unconnected patients ghost at 3.7× the rate of mentor-connected patients.
Without mentor connection
0days avg delay
With mentor connection
0days
69-day reduction
Finding 04

Before and after mentor connection, quantified.

We applied natural language processing (VADER + domain-specific healthcare NLP) to pre- and post-conversation patient language. The shift is both statistically significant and commercially meaningful.


Sentiment scores, pre- vs. post-conversation
Pre-conversation Post-conversation 7-point scale · n = 7,823 · all p<0.001
Confidence in treatment decision7-pt scale · higher is better
PRE
2.8
POST
5.3
+90%
Fear & anxiety expression7-pt scale · lower is better
PRE
5.1
POST
1.9
−62%
Sense of social support7-pt scale · higher is better
PRE
2.0
POST
4.5
+127%
Intent to actinitiation language · higher is better
PRE
1.6
POST
4.1
+156%
The language shift

Before: language characterized by uncertainty and isolation — "I don't know," "I'm scared," "nobody understands," "what if."

After: language shifts to agency and possibility — "I'm going to," "I didn't realize," "that makes me feel better," "I think I can do this."

This mirrors findings from a 2026 scoping review of NLP in cancer care, which identified "unmet emotional needs" as the dominant theme in patient-generated content. Wreyford et al., 2026

External validation

A 2025 JMIR study analyzing 7,543 dialysis community posts found the same pattern: 49.2% positive sentiment where peer support was present, compared to 26.2% negative without. JMIR, 2025

A separate analysis of 492,495 chronic disease community posts found that emotional support was the #1 activity (20.6% of posts), surpassing information-seeking.

Finding 05

The questions that predict conversion.

We analyzed 24,700+ questions asked in mentor conversations and identified which most strongly correlate with treatment initiation within 30 days.


Filter by signal
#
Question theme
Freq.
Conversion
Signal
1
"What was the first week/month actually like for you?"
67%
79%
Very high
2
"If you could go back, would you still choose this treatment?"
54%
83%
Highest
3
"How did you manage [side effect] at work / with kids?"
49%
76%
High
4
"Did your doctor tell you everything, or were there surprises?"
43%
71%
Moderate-high
5
"How long until you felt like it was actually helping?"
41%
74%
High
6
"Were you scared? How did you get past it?"
39%
81%
Very high
7
"Can I still [specific activity] while on treatment?"
36%
77%
High
8
"What do you wish someone had told you before you started?"
31%
82%
Very high
9
"How did your family / partner react?"
28%
68%
Moderate-high
10
"Is it worth it?"
22%
86%
Highest
None of the top 10 are clinical

When a patient asks "Is it worth it?", conversion is 86%. None of the top 10 predictive questions are about mechanism of action or trial data — all are experiential. The content that moves patients isn't content. It's conversation.

External validation

What the broader research confirms.

Our findings don't exist in isolation. Here's how they map to published research, national surveys, and publicly available patient forum data.


From peer-reviewed research
01
Trust has shifted from institutions to lived experience

67% of people say lived health experience qualifies someone as a health expert — up 11 points in 3 years. 45% of 18–34s believe a well-researched patient is equivalent to a physician.

Edelman Trust Barometer 2025
02
Online peer communities fulfill needs healthcare cannot

Analysis of 31 patient narratives identified six core values; peer support ranked #1. Peers provide "mutual understanding and solidarity" HCPs cannot replicate.

Frontiers in Psychology, 2026
03
Sentiment analysis reveals what surveys miss

A 2026 NLP scoping review found 4 themes predicting non-adherence: unmet emotional needs, poor communication, unclear concordance, and misinformation.

Wreyford et al. · Nursing Reports 2026
04
Face-to-face peer support outperforms every alternative

83% adherence success for face-to-face interventions vs. 38% phone-based and 33% paper-based. Peer interventions show 69–75% greater persistence.

PatientPartner Research Review, 2025
From patient forums — patterns at scale

We analyzed 12,400+ posts across Reddit (r/PsoriaticArthritis, r/ankylosingspondylitis, r/CrohnsDisease), Inspire.com, HealthUnlocked, and PatientsLikeMe to validate findings against organic patient expression.

0%
of treatment-decision posts contain fear language
0%
of advice-seeking posts ask for experiential data
0%
of "helpful" peer replies included "I felt the same"
0×
more engagement with peer replies vs. info-only
Trusted clients

The patient support leaders already doing this.

The data above isn't theoretical. It's the pattern our clients are already seeing — and acting on — in their own programs.


Melissa B., Sobi Pharmaceuticals
Patient Partner is a unicorn in the industry. They are undoubtedly dedicated to the mission of positively impacting patients lives.
Melissa B.
Sobi Pharmaceuticals
Industry
Pharma · Epilepsy
Company size
1,800+ employees
Pain point
Needed a compliant, scalable solution to increase patient adoption and improve patients' understanding of their breakthrough treatment — while also better understanding patient audience and market data.
Brad A., Mainstay Medical
Patient Partner has been influential in helping patients understand the benefits of our product.
Brad A.
Mainstay Medical
Industry
Medical Device · Spine Surgery
Company size
150+ employees
Pain point
Bringing a new procedure to market — needed to increase patient adoption and awareness for new patient starts.
Sara W., Marketing Director, Rare Disease
We knew patient trust was shifting, but seeing just how dramatically patients now prefer peer-to-peer engagement over traditional methods is a game-changer for our upcoming strategies.
Sara W.
Marketing Director
Industry
Rare Disease
Company size
10,000+ employees
Pain point
Significant limitations in ability to quantify the ROI of direct-to-patient marketing initiatives. Needed a compliant, focused solution to enhance reported metrics.
Implications

What this means for patient support leaders.

Five structural changes that would measurably improve outcomes for pharma, med-tech, and clinical-trial organizations.


01 Redesign your PSP around the Deliberation Window (Days 14–45)
Most programs front-load education in the first week, then taper. The highest-leverage period is Days 14–45, when patients are actively deciding. Shift outreach intensity to match patient readiness — not internal onboarding timelines. Patients who receive peer support in this window show a 3.4× reduction in treatment delay.
02 Add peer mentorship as a channel — not just content
Patient education answers clinical questions. Peer mentors answer emotional ones. These are different conversations solving different problems. The top 10 questions that predict conversion are all experiential — zero are clinical. 68% of pharma marketers are already reallocating to specialized, community-based channels. Health Union / solli, 2026
03 Measure sentiment, not just satisfaction
Satisfaction surveys capture what patients are willing to say in a structured format. Sentiment analysis captures what they actually feel. The gap between the two is where non-adherence lives. NLP-based sentiment analysis enables earlier identification of drop-off risk — before patients ghost.
04 Address the "unasked questions" proactively
84% of patients withheld a concern from their prescriber. Those unasked questions — intimate life impact, weight changes, energy, fertility — are the ones that determine adherence. Build these topics into your mentor matching criteria and conversation guides. Patients whose unasked questions are answered show 90% higher confidence scores.
05 Stop competing with the internet — be the better version of it
Your patients are already reading Reddit threads and Facebook group advice — making treatment decisions based on anecdotal, unverified, and potentially dangerous information. Structured peer mentorship doesn't replace the internet. It replaces the need for it. And unlike a forum post from 2011, it's compliant, measurable, and connected to your outcomes data.
Estimate your impact

What would this look like for you?

Use the inputs below to map this report's benchmarks onto your therapy area and program scale. No email required — the numbers are yours to keep.


Autoimmune patients delay biologics an avg. of 4.2 months after Rx.
50,000
Unique visitors to your patient-facing program or brand site.
$2,500
Rough annualized LTV. If unsure, the default (industry median) works fine.
$300,000
Total PatientPartner program cost you'd budget for the year.
Your estimated impact
Click-throughs / mo
375
Mentor matches / mo
150
Active engagement / mo
75
Patients initiated / mo
53
Annual revenue recovered
$1,590,000
Net ROI
$1,290,000
4.3× return

Based on benchmarks from the 7,823-conversation dataset in this report. Individual results vary by brand, therapy area, and program design. We're happy to walk you through the math.

Turn this into a real plan
George Kramb, Founder & CEO of PatientPartner
A note from
George Kramb
Founder & CEO, PatientPartner
From the desk of George Kramb

We built this report because we kept hearing the same thing.

Every patient support leader I talk to knows something is off. Their programs look complete on paper — education, nurses, copay cards, outreach — but patients still disappear. Initiation rates plateau. Adherence curves go flat around month three. Nobody can quite point to why.

After analyzing 7,823 mentor conversations, the pattern became impossible to miss: patients aren't dropping off because they don't have information. They're dropping off because the information they need isn't what anyone in a white coat can provide. They need to hear it from someone who's been there.

This report is the honest version of what we found. No product pitch, no hand-waving. If any of it resonates with what you're seeing in your own programs, I'd genuinely like to hear about it.

— George

Book 20 min with George
Before you book

The questions we hear most often.

If you're still weighing whether this is the right fit, start here. These are the real questions pharma and med-device leaders ask us on the first call.


How does this fit alongside the PSP or engagement program we already have?

We don't replace your PSP — we sit alongside it. Your nurses, copay support, and education content handle the clinical conversations they're built for. PatientPartner handles the peer conversations your team simply can't (and shouldn't) have. Most clients integrate our mentor library as an add-on channel within their existing program flow, not a rebuild.

What does setup actually look like — how fast can we be live?

Typical implementation takes 4–6 weeks from kickoff to first mentor conversations. That covers mentor recruiting, therapy-area training, compliance review, and integration with your existing intake flow. We do the heavy lifting — your team reviews and approves. Most of your internal bandwidth goes into the first two weeks; after that we run it.

Is this HIPAA-compliant and safe from a regulatory standpoint?

Yes. PatientPartner is HIPAA-compliant, SOC 2 certified, and built for regulated pharma/med-device environments. Every mentor is trained, vetted, and operates under documented guardrails. All conversations are logged, reviewable, and auditable. We've been through legal, medical, and regulatory review with some of the most conservative pharma brands — we'll walk your compliance team through every detail on the intro call.

How does pricing work — and how do we justify the ROI internally?

Programs are priced as an annual subscription based on therapy area, patient volume, and mentor engagement hours. Use the ROI calculator above to pressure-test against your own numbers. In practice, most of our clients see payback inside the first 6 months driven by accelerated initiation alone — before counting the downstream adherence lift.

Will this drain internal bandwidth from my team?

Minimal. We provide the mentor network, the conversation infrastructure, and the reporting. Your team reviews quarterly dashboards, helps refine the mentor match criteria as the program matures, and joins strategic check-ins. Most clients spend <2 hours / week on active program management after launch.

What therapy areas have the strongest data and track record?

Our largest datasets are in autoimmune / biologics, surgical procedures, women's health, type 2 diabetes, oncology support, and medical devices — the six areas in this report. We've also run programs in rare disease, mental health, and gene therapy on a smaller scale. On the intro call we'll share which therapy-area benchmarks we can stand behind for your specific brand.

See the conversations behind the data

See what your patients
are actually saying.

PatientPartner's mentor-driven platform gives you the peer conversations, sentiment data, and treatment-decision insights that traditional PSPs miss — structured, HIPAA-compliant, and connected to your outcomes data.

Web
patientpartner.com
Email
info@patientpartner.com
Prepared by
PatientPartner · Research
Methodology

How we built this report.

Transparency matters. Here's exactly how we collected, analyzed, and validated the data in this report.


PatientPartner conversation data
7,823 mentor–patient conversations on the PatientPartner platform, Jan 2021 – Mar 2026.
Six therapy areas: autoimmune / biologics (n=2,147), surgical (1,893), women's health (1,412), type 2 diabetes (1,204), oncology (689), medical devices (478).
Transcripts analyzed using VADER sentiment lexicon and a custom healthcare NLP model.
Fear, question, and topic classification by two independent reviewers plus automated NLP. Inter-rater reliability κ = 0.87.
Pre/post sentiment measured via intake survey, conversation text analysis, and 30-day follow-up.
Conversion defined as: physician referral request, treatment scheduling, or prescription fill within 30 days.
All data de-identified per HIPAA Safe Harbor. IRB exemption on file.
External validation sources
12,400+ public forum posts from Reddit, Inspire.com, HealthUnlocked, PatientsLikeMe (treatment-decision threads, 2019–2026).
14 peer-reviewed studies on patient decision-making, non-initiation, and peer support.
Edelman Trust Barometer 2025 — Health supplement (n=15,000+).
Health Union / solli 2026 Pharma Marketing Pulse Report.
JMIR 2025–2026 — sentiment analysis in dialysis, cancer, and chronic disease communities.
Frontiers in Psychology 2026 — peer support narrative analysis.
Forum data analyzed using keyword extraction, sentiment scoring, and thematic coding aligned to PatientPartner taxonomy.
View all citations
  1. Mestre TA, et al. "Reluctance to start medication for Parkinson's disease." Parkinsonism & Related Disorders, 2014. n=469.
  2. Gil-Girbau M, et al. "Reasons for medication non-initiation: A qualitative exploration." Research in Social and Administrative Pharmacy, 2020.
  3. Swart KMA, et al. "Factors related to intentional non-initiation of bisphosphonate treatment." BMC Primary Care, 2018.
  4. Wreyford L, et al. "Patient Voice and Treatment Nonadherence in Cancer Care." Nursing Reports, 2026.
  5. "Self-reported patient experiences in a peer-support community." Frontiers in Psychology, 2026.
  6. "Patient Voices in Dialysis Care: Sentiment Analysis." JMIR, 2025.
  7. "Insights and Recommendations for Keeping Online Peer Support Safe." JMIR, 2026.
  8. Edelman Trust Barometer 2025: Health Supplement. n=15,000+.
  9. Health Union / solli. "2026 Pharma Marketing Pulse Report."
  10. Fisher PL, et al. "Qualitative Evaluation of Cancer Survivors' Experiences." Frontiers in Psychology, 2019.
  11. "Barriers and facilitators to medication adherence: a qualitative study." BMJ Open, 2018.
  12. "Facilitators and Barriers to Adherence in DMARD Initiation." Journal of Rheumatology, 2015.
  13. PatientPartner. "Mentorship-Based Patient Engagement." Internal research report, March 2025.
  14. "Women's Insights on Extended Adjuvant Endocrine Therapy." JMIR, 2025.