A PWLE’s Guide to Asking the Right Questions
Reading the results of a clinical trial shouldn’t feel like cracking a code. But too often, it does—especially for those of us living with the conditions being studied. If you’ve ever opened one of those reports and felt like you needed a translator, you’re not alone.
I’ve been on both sides: as a patient participant and as an advisor on multiple research teams. What I’ve learned is that people with lived experience (PWLE) bring something to the table that data alone can’t—context, meaning, and the right questions.
This guide is for anyone who’s ever asked:
“What am I supposed to be looking for in all of this?”
Start With the Basics
Before diving into the data, take a step back and ask:
- What was the trial trying to figure out?
- How long did it run, and who took part?
- Is there a summary written in plain English, or is it buried in jargon?
If you can’t find the answers, ask someone on the research team. You deserve to know what they found and why it matters.
What Was the Study Actually Trying to Do?
Every trial has a goal, often called the primary outcome. That might be reducing symptoms, slowing disease progression, or improving function. There may be secondary outcomes too, but the primary one is the headline.
Ask:
- What was the main thing this trial was trying to prove or measure?
- Were there other goals, and did they matter to the people living with the condition?
- Was the trial designed to compare treatments, test something new, or prevent a future issue?
This gives you the context for everything that follows.
Making Sense of the Results
This is where it usually gets murky. Don’t let the numbers scare you off.
Here’s what to ask:
- What’s the actual difference between the treatment group and the comparison group?
- Does the result just look good on paper, or would someone really feel the difference?
- What’s a p-value or confidence interval in real-world terms?
- Did the study have enough participants to draw a strong conclusion—that’s called “power”?
One tip: just because a result is “statistically significant” doesn’t mean it changes anyone’s life. Ask whether it’s clinically meaningful, that’s what counts.
Decoding the Charts and Graphs
You’ll probably see some visuals. Here’s a rough guide:
- Bar charts: Compare group averages.
- Line graphs: Show how things changed over time.
- Kaplan-Meier curves: Show how long it took for something (like a relapse) to happen.
- Forest plots: Break down results for different groups (age, gender, etc.).
- Box plots: Show variation in how people responded.
When in doubt, ask:
- What are the axes showing me?
- What do the bars or lines mean for someone like me?
- What do the “error bars” or shaded areas tell me about how reliable the results are?
These visuals aren’t meant to impress—they’re meant to explain.
Don’t Skip the Harms
This part is just as important as the benefits—and often harder to find.
Ask:
- What side effects or harms were reported?
- How often did they happen—and to whom?
- Were there differences by age, race, gender, or underlying condition?
- Were the harms temporary, serious, or long-lasting?
This is the information people want but rarely see clearly presented. Push for it.
Who Was in the Study?
If a study doesn’t reflect the real world, the results may not apply to the real world.
Ask:
- Who was included—and who was left out?
- Were people with more than one condition part of the trial?
- Do the participants reflect the diversity of those actually living with this condition?
Representation matters. So does complexity.
Every Study Has Limitations—Look for Them
No trial is perfect. That’s okay. But the good ones are honest about their limits.
Ask:
- Were there missing data? High dropout rates? Was it stopped early?
- Were the results consistent across groups, or only seen in one subgroup?
- Can these findings be applied to people who weren’t part of the study?
If the report skips this part, that’s a red flag.
Does It Apply to Daily Life?
This might be the most critical question of all:
- Do the results matter in daily life, or just in a lab setting?
- Are the outcomes measured things that people with this condition care about?
- Is the treatment affordable, accessible, and realistic to use?
If it isn’t usable, it doesn’t matter.
Where Do PWLEs Fit In?
We don’t just have the right to ask questions—we have the responsibility.
Ask:
- Can I provide feedback on how these results are presented?
- Is there a chance to work with the research team to translate findings into something the community can use?
- How can this information be shared in a way that builds trust and makes sense to people like me?
Our lived experience gives these numbers context. Let’s use it.
Final Thoughts
You don’t need a PhD to read a clinical trial report. You need confidence, curiosity, and a little backup when the language gets dense. These questions are a place to start.
When researchers are truly listening, they welcome these conversations. When they aren’t, we keep asking anyway.
We aren’t just subjects. We’re stakeholders.
And it’s time we read the results like we belong there. Because we do.
Behind the Scenes
Some of the structure and flow of this article was developed using ChatGPT, based on my prompts and edits. I use it as a tool—like a highlighter and whiteboard combined—but the message, the questions, and the lived experience behind them are mine.
Disclaimer
The views, positions, and recommendations expressed in this article are based on my personal experiences and independent research. They are solely my own and do not necessarily reflect the views, policies, or positions of the American Chronic Pain Association (ACPA).