Here are some of the best questions for a patient survey about care coordination, with tips for designing them to get better insights. If you want to build a patient care coordination survey, Specific can help you generate one in seconds.
Best open-ended questions for patient survey about care coordination
Open-ended questions are perfect for gaining deep, qualitative insights from patients. These questions allow patients to share unique experiences and describe what worked or didn't work, offering context that structured choices simply can't capture. They're best used to explore feelings, perceptions, and stories that unveil what truly matters in care coordination.
Here are 10 of the best open-ended questions to ask:
Can you describe a recent experience where multiple healthcare providers worked together on your care?
What aspects of care coordination have you found most helpful during your treatment?
Have you ever felt confused about which provider to contact for a particular issue? If so, what happened?
How do you feel about the way information about your health is shared between your care team?
Can you recall a time when care coordination could have been better? What made it challenging?
How has care coordination impacted your overall satisfaction with your care?
What could your healthcare team do to improve communication and coordination for you?
When transitioning between different care settings (e.g., hospital to home), what went well and what didn’t?
Are there any services you wish had been coordinated better for your needs?
If there was one thing you could change about how your care was coordinated, what would it be?
Why use open-ended questions? Structured care coordination—especially when it involves routine follow-ups and real conversations—has been shown to improve both patient satisfaction and health outcomes[1]. By asking these open-ended questions, we find out not only what happened, but why it mattered, helping teams tailor improvements to what patients actually need.
Single-select multiple-choice questions for patient survey about care coordination
Single-select multiple-choice questions work wonders when you want to quantify responses, spot trends, or create branching logic. They’re quick for patients to answer (avoiding survey fatigue), and can prompt more detailed followup questions. Sometimes, it’s just easier for someone to pick an option than word a long story—especially if you have busy patients or you want to gather benchmarks for reporting.
Question: How easy is it for you to know whom to contact regarding different aspects of your care?
Very easy
Somewhat easy
Somewhat difficult
Very difficult
Question: How well do you feel your providers communicate with each other about your care?
Very well
Well
Not very well
Not at all well
Question: Did you experience any gaps or overlaps in your care due to coordination issues?
No gaps or overlaps
Some minor gaps/overlaps
Significant issues
Other
When to followup with "why?" Whenever you want context behind the choice a patient made, always add a "why" follow-up. For example, if someone marks communication as "not very well," a good followup is: "Could you share what made you feel that way?" This reveals the root causes and actionable suggestions.
When and why to add the "Other" choice? Including "Other" lets patients share situations that don’t fit your options. If they pick "Other," always follow up to hear what they mean. These responses can uncover problems or successes you didn’t even know were happening—giving you an edge in making real improvements.
Should you add an NPS question?
NPS (Net Promoter Score) is a simple but powerful way to measure a patient's willingness to recommend the care coordination services to others. It gives you a high-level view of loyalty and satisfaction—which is directly tied to retention, trust, and advocacy. For care coordination, it’s especially valuable because it quickly highlights how effectively all the moving parts are coming together from the patient’s perspective. You can easily generate an NPS survey for patient care coordination and enrich it with specific followup questions for promoters, passives, and detractors.
What’s more, higher coordination levels have been tied to a 10% reduction in readmission rates and a 17% decrease in 30-day mortality for heart failure patients [2]. This underpins why even a basic NPS question can be enlightening for healthcare teams tracking improvements over time.
The power of follow-up questions
Follow-up questions are the heart of every AI conversational survey. Instead of collecting just surface-level feedback, Specific uses AI to automatically probe for deeper insights right after each answer. The platform leverages its own automated followup questions feature to ask smart followups in real time—just like an expert interviewer would. This means you capture full context and richer, more actionable insights, without ever needing to send tedious follow-up emails.
Patient: "The nurses didn’t always know what the physician had told me."
AI follow-up: "Can you tell me about a specific time when this happened, and how it affected your care?"
Compare this "digging deeper" to static surveys, which often leave you guessing exactly what the respondent meant.
How many followups to ask? Generally, 2–3 followups are enough per question. In Specific, there’s a setting to automatically stop after you capture the key info, letting patients skip followups if they feel they’ve said enough. The right balance keeps the conversation natural and prevents fatigue.
This makes it a conversational survey: With smart followups, the survey feels like a real conversation—boosting engagement and making it less of a chore for patients to share candid feedback.
AI analysis of open responses: Even with lots of open-ended responses, AI makes it ridiculously easy to analyze survey feedback and pull out top themes, concerns, and suggestions. You don’t need to wade through endless text—the AI distills what matters.
This follow-up flow is a fresh approach—try generating a patient survey and see how much more you learn by letting AI do the heavy lifting.
How to compose a prompt for GPT to create great questions
If you want to use ChatGPT or another large language model to come up with your own care coordination survey, start by giving it a clear prompt:
Suggest 10 open-ended questions for Patient survey about Care Coordination.
But GPTs work best with more context. Share your role, your goal, and what’s unique about your setting. This guides the AI to be more specific (pun intended):
I work at a community health clinic and want to better understand our patients’ experiences as they move between primary care, specialists, and home care. Generate 10 open-ended questions for a care coordination survey that uncovers pain points and bright spots.
Look at the AI-generated questions and prompt it again to help you organize them:
Look at the questions and categorize them. Output categories with the questions under them.
Investigate further by focusing on what matters most:
Generate 10 questions for categories "communication between providers" and "transition of care"
What is a conversational survey?
Conversational surveys turn bland forms into real-time, interactive interviews that feel just like texting with a friendly expert. Instead of throwing a wall of questions at patients, you engage back-and-forth—so people open up, clarify details, and offer stories instead of one-word answers.
The difference between traditional and AI-generated surveys is dramatic. Here’s a snapshot:
Manual Surveys | AI-Generated Conversational Surveys |
|---|---|
Static forms; fixed options | Adaptive; AI asks follow-ups in real time |
Often superficial responses | Richer, more specific insights |
Slow creation, edits are tedious | Instant survey generation and easy AI-powered editing |
Difficult analysis of open-ended feedback | Automated AI analysis, summaries, and instant theming |
Less engaging for patients | Feels like a friendly chat, improving engagement |
Platforms like Specific take conversational surveys to the next level, letting you create a patient care coordination survey in minutes, then using automated followups to dig deeper. The experience is smooth and intuitive for both survey creators and patients alike.
Why use AI for patient surveys? AI-powered survey builders can instantly turn your intentions into a survey and adapt the questions to match each patient's context. With AI survey examples, every respondent enjoys a dynamic, engaging flow tailored to what they share. You also get unbeatable time-to-insight: no more wrangling spreadsheets or hours of manual analysis.
If you want the best experience for both creators and respondents, Specific is designed to deliver conversational surveys that capture and analyze deep feedback—all in one place. Try an AI survey maker and see the difference from manual forms firsthand.
See this care coordination survey example now
Experience how a conversational, AI-powered patient care coordination survey uncovers richer insights and makes feedback easy—for both you and your patients. See the difference, and create your own survey in minutes.