The U.S. population is becoming more mixed in terms of culture and language. By 2050, about 35% of people aged 65 and older will be from racial and ethnic minorities. This change matters for healthcare because these patients often need different ways to communicate and face different health problems, such as diabetes, heart disease, and asthma.
Language is very important in healthcare. Research shows that more than 37 million adults in the U.S. speak a language other than English at home. Almost half of them say they do not speak English well. When patients cannot speak or understand English well, they might not get preventive care, use fewer health services, and feel less happy with their care. If they cannot clearly talk about their needs or understand doctors’ advice, their health might get worse.
Healthcare providers, like hospitals and clinics, need to understand what all patients experience, no matter what language they speak. If surveys are only in English, important information from patients who speak other languages might be missed. This stops providers from improving care for all groups.
Patient experience surveys help show how patients feel about their care. These surveys focus on things like how well doctors explain things, how patients understand medicine instructions, and how care is organized. They are different from satisfaction surveys, which ask if patients are just happy with care.
In the U.S., the Centers for Medicare & Medicaid Services (CMS) run surveys called CAHPS (Consumer Assessment of Healthcare Providers and Systems). These surveys give reliable data about patient experiences in different healthcare places. CMS uses these surveys to decide payments based on care quality, not just the number of treatments given.
For these surveys to work well in diverse communities, they need to be available in many languages. When patients can use their own language, they give better and more honest answers. This helps healthcare providers understand their patients better.
Improved Patient Communication: Patients can explain their feelings and problems better in a language they know. This helps providers find real issues to fix.
Enhanced Inclusivity: Offering surveys in common languages, like Spanish, helps more patients join in. For example, in California, a project used English and Spanish surveys and gathered answers from over 1,800 patients in 16 hospitals.
Better Data Accuracy: Patients answering in their own language give more correct information. This lowers mistakes that happen when messages are misunderstood.
Reduced Health Disparities: Minority groups often feel less happy with care and take part less in medical choices compared to White patients. Multilingual surveys help give these patients a chance to speak and improve care.
Compliance with Federal Guidelines: The Department of Health and Human Services has rules called CLAS (Culturally and Linguistically Appropriate Services) that ask healthcare providers to offer services in patient-preferred languages. Multilingual surveys help meet these rules.
Resource Allocation: Making, translating, and sharing surveys in many languages costs time and money. Some healthcare places do not have enough staff or tools for this.
Technical Integration: Managing surveys in different languages on paper, online, or by phone needs strong computer systems that can handle different languages and keep data organized.
Staff Training: Staff need to learn how to ask patients to use surveys in their language and to answer patient questions about the process.
Literacy Levels: It is not just about language. Some patients may have trouble reading, even in their own language. Surveys should be easy to read or use spoken methods if needed.
Language is one part of cultural competence. This means that healthcare workers and places know how to give care that fits patients’ social, cultural, and language needs. Research shows that some racial and ethnic groups have more chronic illnesses and worse health than others.
Good cultural competence includes:
Surveys that ask patients about their care help find where cultural competence is missing. This data can help improve training and services.
A project funded by PCORI created a survey about childbirth and used it in 16 California hospitals. The survey was in English and Spanish to help reach more patients.
More than 1,800 mothers took part, and over 440 filled the survey before and after giving birth. The results showed that what staff thought and what really happened were different, like how often babies and parents had skin-to-skin contact. One hospital used the feedback to make epidural care better.
This example shows how well-designed surveys can help hospitals improve care for patients.
Healthcare managers are using artificial intelligence (AI) and automation more to handle patient communication and data. For managers and IT staff, AI tools offer easy ways to handle surveys in many languages.
AI and automation help by:
By using AI with multilingual surveys, healthcare places can spend less time on paperwork while improving the way they gather patient opinions. This helps make sure no patient is left out because of language or system problems.
Healthcare is moving toward paying for quality, not just quantity. Listening to patient voices is now a big part of deciding how good care is. Multilingual patient surveys help include all kinds of patients in this process.
Healthcare leaders and IT managers must understand that meeting language and culture needs is necessary. Using technology and data will help them keep up with changing patient groups and the rules they must follow.
By using multilingual surveys combined with AI and automation, healthcare providers in the U.S. can communicate better with all patients, lower differences in health outcomes, improve quality, and support better health overall.
The goal is to help hospitals learn about patients’ experiences with care during and after childbirth by developing a specific Childbirth Experience Survey that captures relevant information.
The survey was placed in 16 diverse hospitals in California, where patients reported their experience before and after childbirth, helping to provide targeted insights.
The survey was available in both English and Spanish to ensure broader access and inclusivity for diverse patient populations.
An online platform was developed for collecting survey responses, allowing different hospitals to manage their patient data effectively.
During the project, 1,803 patients completed the surveys, with over 440 responding both before and after childbirth.
Survey results revealed discrepancies in hospital staff’s perceptions and actual practices, such as the frequency of skin-to-skin contact after delivery.
Hospitals used survey data to identify areas needing attention, such as concerns regarding epidural quality, leading to targeted improvement initiatives.
Strategies included assessing hospital readiness, adapting the survey to existing workflows, providing training, and creating a learning collaborative among hospitals.
Evaluation measures included readiness assessments, the number of completed surveys, and self-reported patient outcomes related to childbirth experiences.
Key stakeholders included the Childbirth Patient-Reported Outcomes Partnership, researchers, care providers, birthing advocates, hospital quality experts, and senior administrators.
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