This article will guide you step-by-step on how to create a Patient survey about Inclusion In Care. If you want to build or generate such a survey, Specific can help you do it in seconds using AI. Build your survey here.
Steps to create a survey for patients about inclusion in care
If you want to save time, just generate a survey with Specific.
Tell what survey you want.
Done.
You really don’t need to read further—AI does the heavy lifting for you. It creates a professional survey using expert knowledge, writes clear questions, and automatically asks respondents smart follow-up questions to get deeper insights. If you want to experiment even more, check out the AI survey generator to start from scratch or customize for any topic.
Why surveys on patient inclusion in care really matter
If you’re not running these surveys, you’re missing out on transformational opportunities for better care and outcomes. Engaging patients directly about their inclusion in care leads to actionable feedback, higher engagement, and a positive feedback loop for your team and the patients themselves.
Patients who participate in their treatment show greater adherence to regimens and better recovery rates [1]. That means more successful care, fewer missed appointments, and real impact on health outcomes.
Actively including patients can reduce anxiety—people feel heard and more confident in the treatment plan [1]. This builds trust and lifts patient satisfaction.
Healthcare teams that prioritize inclusion see a 33% decrease in patient mortality rates [2]. This stat alone highlights how much is at stake with effective inclusion and feedback.
Beyond statistics, the importance of patient recognition surveys lies in surfacing the gaps and strengths you never see from inside the provider’s perspective. If you skip these insights, you’re likely missing pain points, unmet needs, and opportunities to improve that are essential for your progress.
Need more convincing? Browse specific examples of good survey questions for inclusion in care to understand the concrete benefits these surveys deliver.
What makes a good survey on inclusion in care
To get both quantity and quality of responses, you’ve got to focus on two things: clarity and engagement. A good patient survey about inclusion in care uses questions that are:
Clear and unbiased—no jargon, no leading phrases.
Conversational—so people feel comfortable opening up and being honest.
Why does this matter? Unclear or biased questions tank your response rates and lead to confusing feedback. If the survey feels stiff, people won’t bother finishing it or will give half-hearted answers.
Bad Practices | Good Practices |
|---|---|
Loaded questions (“You felt included, right?”) | Open questions (“How included did you feel in care decisions?”) |
Overly formal language | Conversational, easy-to-understand tone |
Long, confusing question blocks | Short questions—one topic at a time |
The goal: make it so easy and engaging to answer that you get thoughtful feedback from as many patients as possible.
Types of survey questions for patients about inclusion in care
Every strong patient survey blends different question types to capture both structured data and deep, personal insights about inclusion in care.
Open-ended questions are great for letting patients explain their experiences in their own words. Use them to uncover details you’d never predict and reasons behind the scores. These questions are especially powerful when you want to understand context or emotion.
“Can you describe a recent time you felt included in care decisions?”
“What is one thing we could do better to make you feel more involved?”
Single-select multiple-choice questions help you measure clear, quantifiable responses. Use them when you want to compare data across groups or time periods.
How much do you feel your preferences are considered in your treatment plan?
Always
Often
Sometimes
Rarely
Never
NPS (Net Promoter Score) question is the gold standard for measuring patient loyalty and overall experience. You can generate a full NPS survey for patients about inclusion in care instantly with this AI tool. These questions are best for benchmarking and tracking improvements over time.
How likely are you to recommend our care team to other patients seeking involvement in their care?
Followup questions to uncover "the why" really matter—AI-generated interviews can ask follow-ups automatically when someone’s answer is vague or interesting. For example, if a patient says they “sometimes” feel included, a good followup could be,
“Can you tell me more about what made you feel included or left out in those times?”
“What could we do to help increase how included you feel?”
Want more ideas and in-depth question examples? Check out our guide on best questions for inclusion in care surveys—it’s packed with templates and tips for every scenario.
What is a conversational survey?
Traditional surveys are clunky and disconnected—they present a wall of questions all at once. In contrast, a conversational survey feels like a natural chat, one question at a time, dynamically adapting based on respondents’ answers. This makes it more engaging and intuitive for patients.
Manual Surveys | AI-Generated Surveys |
|---|---|
Static and linear (everyone sees the same questions) | Dynamic followups based on answers |
Manual setup—every question added one by one | AI builds full survey from a single prompt |
Easy to lose context | Feels like real conversation—better engagement |
Why use AI for patient surveys? AI takes minutes, not hours, to build expert-level conversational surveys. It adapts follow-up questions in real time, making sure each patient’s voice is truly heard. The result is more honest, richer data with less friction for everyone. Want to dive into the process from scratch? Read our how-to guide on creating patient surveys.
Specific delivers best-in-class user experience for conversational surveys, with a chat-style interface that feels comfortable and modern for both you and your patients. It’s easier to answer, and much more impactful for insights. You can quickly update your survey using the AI survey editor if you want to make any changes—just type your edits in plain language.
Let’s not forget, you get clear analysis tools (see AI survey response analysis) right inside the platform, so no one needs to comb through replies manually.
The power of follow-up questions
Follow-up questions are where conversational surveys shine. Instead of flat responses, you get fuller stories and deeper understanding. Automated AI followup questions from Specific are game-changing—they probe for the “why” behind each answer, making every conversation richer and easier to analyze.
Patient: "I sometimes feel included."
AI follow-up: "Can you tell me about a time you felt included or excluded in your care decisions?"
Without that second question, you’d only know someone "sometimes" feels included but not why that is, or what you could do about it.
How many followups to ask? For most patient surveys, 2-3 carefully chosen followups get you all the depth you need. With Specific, you can adjust this setting so patients can skip to the next question if their point’s been made. This keeps the conversation natural and respectful of everyone’s time.
This makes it a conversational survey: Automated, real-time probing means your survey doesn’t feel like a test—it feels like an authentic conversation, tailored to each person’s experience.
Easy to analyze—AI can summarize and extract themes. Tools like AI analysis for patient surveys make it fast to get clear, actionable insights from lots of open-ended feedback and followups, even if there’s a ton of unstructured text.
Automated follow-up questions are a new concept—give it a try by generating a survey and see firsthand how much richer your data can be.
See this inclusion in care survey example now
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