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What Is Demographic Data In Healthcare?

What Is Demographic Data In Healthcare
Patient demographic data refers to all of the non-clinical data about a patient, including: name, date of birth, address, phone number, email address, sex, race, etc. Within your practice management system and EHR, patient demographic data is used to match patient records together, so that your system has one record for each patient.

And, when you send patient records to another practice or to the hospital, they use the same set of demographic data to find the patient in their EHR, so that they can maintain one record for each patient. Practice management and EHR systems often use sophisticated technology to compare data elements to determine if a patient matches a record in their system.

Unfortunately, patient demographic data is often misspelled, numbers are transposed (reversed), and sometimes data just is not captured. For example, your systems have to look at two records, like the below and determine if there is a match or not. Would you match these records together?

What is meant by demographic data?

What Are Demographics? – Demographics are statistics that describe populations and their characteristics. Demographic analysis is the study of a population-based on factors such as age, race, and sex. Demographic data refers to socioeconomic information expressed statistically, including employment, education, income, marriage rates, birth and death rates, and more.

What are the 5 demographic data?

Demographic segmentation FAQ: – What is demographic segmentation? Demographic segmentation groups customers and potential customers together by focusing on certain traits that might represent useful markets for a business. What are the 5 main different segments for demographics? The five main demographic segments are age, gender, occupation, cultural background, and family status.

Why is demographic data important?

Conclusion – Demographic analysis is used to explain the distribution of characteristics in a society or community to comprehend them, make policy suggestions, and predict the future of a society or group. Demographic analysis is important because it gives useful information that can be used to make good decisions in business, government, and social services, among other places.

It helps people understand the characteristics of a population and how it might change in the future, which is important for making decisions. The QuestionPro research suite might help with demographic analysis by collecting and analyzing data on population variables, including age, gender, income, education level, and more.

QuestionPro’s survey software can create and distribute surveys and polls to get this data. Demographic features can be used to segment and evaluate the acquired data to better understand population groupings’ traits and preferences. Advanced analytics and visualization features from QuestionPro make data analysis more efficient and productive.

What are the types of demographic data?

“The term demographics refers to particular characteristics of a population. The word is derived from the Greek words for people ( demos ) and picture ( graphy ). Examples of demographic characteristics include age, race, gender, ethnicity, religion, income, education, home ownership, sexual orientation, marital status, family size, health and disability status, and psychiatric diagnosis.” Salkind, N.J.

What are 2 examples of demographic data?

Demographic Survey Questions: Why & How to Ask Learn how background characteristics of a determined audience influence consumer sentiment and behaviors. Where do you live? What do you do? How much do you earn? Pardon the personal questions, but gathering demographic information from questions like these is a great way to better understand your audience.

  • Demographic information allows you to better understand certain background characteristics of an audience, whether it’s their age, race, ethnicity, income, work situation, marital status, etc.
  • By asking demographic questions in surveys, you can gather demographic information about current and potential customers at scale, and in turn, help you design a strategy to reach the right clients.

What’s the definition of demographic survey questions? And more importantly, how should you use them in your surveys? Get answers to these questions and more in this article, with detailed tips for implementing them, and tools to analyze demographic information.

  • You’ll also find specific sample survey questions and demographic examples that you can apply in your own questionnaire.
  • It’s best to ask demographic questions if the information is necessary for your research.
  • Try to avoid including the basic questions like age, race, gender, and marital status that many respondents might be familiar with unless it’s absolutely necessary.

While it’s great to establish a baseline demographic, you also want to avoid survey fatigue, where respondents grow tired of answering too many questions. Always build your questionnaire with the objective of providing relevant insights. Whether you think demographic questions should be placed at the beginning or end of a questionnaire depends on how sensitive the question is.

For instance, if you need to know your audience’s income level, then it’s probably best not to lead with that question. But if you need to know the respondent’s age, that information is less likely to be as sensitive and can be placed at the beginning of your survey along with the name–unless you’re conducting an anonymous survey.

Marketers are one group of professionals who have a lot to gain from asking demographic questions. The more they know about their target population, the higher the chances their messaging will resonate with their desired audience. Think of how different your marketing efforts would be if you knew that most of your target population is composed of married men in a high-income bracket rather than single female college students.

  1. Or what if you were aiming for male retirees in California instead of female executives in the Midwest? Knowing a little about your target audience can make a big difference.
  2. This kind of information is useful in many scenarios: You can benefit from it when developing products, measuring ad effectiveness, providing health services, understanding public opinion—even,

Anyone—regardless of their sector or industry—can benefit from finding relevant information about their audiences with SurveyMonkey demographic surveys. The questions from SurveyMonkey’s demographic survey templates allow you to segment audiences on the basis of income, gender, location, and other factors.

To find several use-cases for running demographic research. A represents your buying audience. With a buyer persona, you’re generalizing who your ideal customer is along with their likes, dislikes, and buying habits. Demographic questions allow you to find trends in the market that can help you reposition your business to remain relevant.

For instance, if sales drop, demographic data can tell you if you’re priced too high for a particular group. Delving into the psychology of a target audience can help you know your audience better. The right experience management platform can inform you why people prefer one brand over another.

Using demographic questions helps you target the right buying audience. For instance, you might discover women prefer your product more than men. This information could be very helpful if you intended to market to men. Demographic information examples include: age, race, ethnicity, gender, marital status, income, education, and employment.

You can easily and effectively collect these types of information with survey questions. Now, what do all these examples have in common? They’re all concrete characteristics that help narrow down which market segment the people in your target audience best fit into.

That means you can split a larger group into subgroups based on, say, income or education level. Demographic questions are key to this process, but why do market segmentation in the first place? SurveyMonkey has many expert-designed survey templates you can use straight out of the box, or as a reference to build your own customized questionnaire.

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You can also use the certified questions available in the, which is a great option in case you need to insert just a few demographic questions in a broader survey—a pretty common practice. The following are some examples of good demographic survey questions: Which category below includes your age?

  • 17 or younger
  • 18-20
  • 21-29
  • 30-39
  • 40-49
  • 50-59
  • 60 or older

Are you White, Black or African-American, American Indian or Alaskan Native, Asian, Native Hawaiian or other Pacific Islander, or some other race?

  • White
  • Black or African-American
  • American Indian or Alaskan Native
  • Asian
  • Native Hawaiian or other Pacific islander
  • From multiple races
  • Some other race (please specify)

Pro tip: For demographic questions like the last one, it’s a good idea to add an “Other (please specify)” answer option. This type of answer option gives respondents a text box to self-identify.

  • Female
  • Male
  • Other (specify)

Note that the last question requires a text box for the respondent to self-identify. Are you now married, widowed, divorced, separated, or never married?

  • Married
  • Widowed
  • Divorced
  • Separated
  • Never married

What is the highest level of school you have completed or the highest degree you have received?

  • Less than high school degree
  • High school degree or equivalent (e.g., GED)
  • Some college but no degree
  • Associate degree
  • Bachelor degree
  • Graduate degree

Which of the following categories best describes your employment status?

  • Employed, working 1-39 hours per week
  • Employed, working 40 or more hours per week
  • Not employed, looking for work
  • Not employed, NOT looking for work
  • Retired
  • Disabled, not able to work

How much total combined money did all members of your household earn in 2010?

  • $0 – $9,999
  • $10,000 – $19,999
  • $20,000 – $29,999
  • $30,000 – $39,999
  • $40,000 – $49,999
  • $50,000 – $59,999
  • $60,000 – $69,999
  • $70,000 – $79,999
  • $80,000 – $89,999
  • $90,000 – $99,999
  • $100,000 or more

Are your living quarters owned or being bought by you or someone in your household, rented for cash, or occupied without payment of cash rent?

  • Owned or being bought by you or someone else in your household
  • Rented for cash
  • Occupied without payment of cash rent

What language do you mainly speak at home?

  • English
  • Spanish
  • Chinese
  • French
  • Some other language

How many children are you parent or guardian for that live in your household (aged 17 or younger only)? Where do you currently get your news about state politics?

  • Television
  • Radio
  • Newspaper – hard copy
  • Newspaper – online
  • Magazines – hard copy
  • Magazines – online
  • Internet blog
  • Internet news site
  • Other (please specify)

Do you identify with any of the following religions? (Select all that apply.)

  • Protestantism
  • Catholicism
  • Christianity
  • Judaism
  • Islam
  • Buddhism
  • Hinduism
  • Native American
  • Inter/Non-denominational
  • No religion
  • Other (please specify)

Looking for an audience to send surveys to? Our product includes these attributes and more, so you can send your survey to the right people. One of the most commonly asked demographic questions is about age range. Age is sometimes a necessary piece of information in market research segmentation, medical research, customer identification, and more.

Depending upon your research, age range may be vital in understanding your data and being able to use it. For example, if you’re studying consumer preferences and behaviors in regard to music streaming services, survey respondents in their teens and 20s will likely answer your survey questions differently than older respondents.

Determining your respondents’ age ranges will expand your understanding of your target audience and allow you to analyze similarities and differences between the different age ranges. Because age can be a sensitive issue, follow these tips for asking your survey respondents age-related questions:

  • Include a statement in your survey instructions that explains why you’re asking for their age demographics. This will let them know the question is coming, and they will understand the context of the sensitive question.
  • In your survey instructions, inform participants how you will use the information they provide, including demographics. Just provide a brief overview. This is also a good place to explain how you’ll protect their privacy.
  • Place age range and other demographic questions at the end of the survey. They’ll feel less invasive to participants if they aren’t asked at the beginning of the survey.

Trying to figure out how to determine age ranges for survey questions? There are many ways to list age group ranges for surveys. Some researchers prefer to create sets of five or ten-year intervals, while others ask by generation (Baby Boomers, Millennials, Gen X, Gen Z, etc.).

  1. Think about your Every survey starts when a goal is set. Looking at your main objective makes it easier to determine which demographic questions you will need to include.
  2. but only include the demographic questions you need. Don’t overload your questionnaire, or you’ll risk inducing in your respondents.
  3. Be mindful of your audience. Keep phrasing respectful in demographic questions, since many of them deal with matters of personal identity like gender, race, ethnicity, etc.
  4. Know when to get personal. Just like an in-person conversation, first establish rapport with your respondent, then ask about personal matters. Read more on this post about,
  5. Don’t let numbers overlap. As in the income question example above, make sure that no two responses include the same number. For example, if one age bracket covers 50 to 59 years old, make sure the next one starts at 60—not at 59.
  6. Make responses anonymous. Many people are sensitive about offering their personal information. Demographic information examples where this can ring true, include: income level, employment status, race, and ethnicity. If you’re surveying for broad demographic patterns or trends, consider making responses anonymous—and be sure to let your respondents know that’s the case.
  7. Explain the purpose of your survey. In a brief introduction, tell your respondents how you’ll use the information. For example: “We want to know more about our customers and what they want. This information will help us put together the right mix of products and services to ensure your satisfaction.”
  8. Make your survey as accessible as possible. Reach as many people as possible. All of SurveyMonkey’s survey designs are accessible by U.S. Section 508 standards, and you can deliver them online in a variety of ways.
  9. Be brief. Shorter surveys are easier for respondents to complete. Let them know how long yours will take.

Online surveys are a great way to reach a broad audience. You can post demographic questionnaires to your website, send them through email, or ask for responses through Facebook and other social media channels. If you need help reaching the right target audience, you can rely on a service that will get you enough respondents to conduct a successful survey with the right demographic mix.

not only makes it easy to find people who will take your survey, it also eliminates the need for them to even answer demographic questions. How? Well, you can send your questionnaire to a selected group of respondents based on the demographic targets you want to reach. SurveyMonkey Audience knows who is taking the survey and therefore it can automatically pipe in five types of demographic information (gender, age, household income, device used to take the survey, and location) directly into your results.

This saves the respondent time and ensures you’re reaching the right people. Using the Filter and Compare tools in SurveyMonkey Analyze, you can easily compare and contrast how different demographic groups answer your questions. This makes demographic segmentation and data analysis with SurveyMonkey Audience even easier.

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Now that you’ve seen what sample demographic questions actually look like, you can check out some ready-to-use demographic survey templates. The following are templates, that include demographic survey questions, straight from the minds of SurveyMonkey’s expert survey methodologists: * Please note that some demographics templates are available in English only at this time.

In addition to the six questions posed in the Snapshot Template, this 12-question template asks about geographic location, housing, marital status, ethnicity, business or farm ownership, and personal income. View, With two quick questions, learn about respondents’ employment status and the type of work they do.

  • View, Discover the makeup of your school community with 16 basic demographic questions about gender, income, race, relationship to student, and more. View,
  • Learn more about the companies on your customer list with this 10-question survey that asks when the company was founded, where it’s headquartered, number of employees and locations, and more.

View, With this comprehensive guide to asking demographic questions on surveys, you’re ready to ask your target audience for all the information that you may need for your next project. To create multiple surveys and gain access to various SurveyMonkey tools,,

What is the demographic data of a patient?

Patient demographic data refers to all of the non-clinical data about a patient, including: name, date of birth, address, phone number, email address, sex, race, etc.

What are 4 examples of demographics?

What is a demographic? – Demographics are statistical data that researchers use to study groups of humans. A demographic refers to distinct characteristics of a population. Researchers use demographic analysis to analyze whole societies or just groups of people. Some examples of demographics are age, sex, education, nationality, ethnicity, or religion, to name a few. Select your respondents

What are 3 examples of demographic factors?

What Are Demographic Variables? First, let’s consider the meaning of the words: Variables —quite simply—are anything that can change and be measured. Examples include age, gender, ethnicity, fertility rates, etc. Demography is the study of human populations.

Demographers explore changes in the structure of populations, such as in numbers of births and deaths, life expectancy, migration rates, and so on. The statistics describing these changes are together called ” vital statistics ” or ” population statistics,” For example, a demographer might analyze trends and projections of birth and death rates for Afghanistan: Demographic —or more broadly, sociodemographic — statistics refer to characteristics of a population, such as age, race, ethnicity, gender, sexual orientation, income, education, and marital status. These types of variables are often used to understand how these characteristics vary with respect to each other (e.g., how income varies by race or with respect to another variable under investigation). For example, a study tracking cancer incidence might collect data on the race, ethnicity, age, and/or gender of the research participants to understand whether and how occurrence of cancer varies by one or more of these demographic characteristics:

Keep in mind that while the statistics you analyze may suggest a potential relationship between the variables you select, this relationship does not necessarily imply causality—just because income is higher among whites than Blacks in the United States does not mean that being white causes income to increase; rather, it raises the question of why that inequity exists.

What is the most important demographic data?

Examples of demographic data – Here are some examples of data you can request in a demographic survey:

Age: Age is one of the most important demographic factors. It is a good indicator of the groups of users that visit a web page, as well as the age groups that buy the most. Provides information about content that is interesting to a particular age group and where potential can be identified. Gender: Gender information shows which parts of a website or which products are more suitable for men or women. Classifying visits according to gender can serve as the basis for planning campaigns targeting men or women. Education: Data on education indicate, for example, whether users have attended university. Income: Income information makes it easy for you to target high-income people, for example, to buy a high-end product. Interests: The data on the interests of the users shows what interests the visitors of a web page and allows to draw conclusions about the behavior of the consumers. For example, if there is an affinity for certain product categories on the part of users, marketers can create ads focused on these interests. Language: For online marketing and website design, the language of the target group is important. This is especially true of internationally oriented online stores. For example, advertising and content should be geared towards the language spoken by the target group. Countries: What region, city or country do my users come from? This question is important to target advertising measures specifically to these,

In addition, the use of demographic data allows segmenting user groups, for example to establish a connection between people aged 18 to 24 with certain keywords and interests. This type of targeting is especially useful for remarketing campaigns.

Is demographic data Qualitative or quantitative?

Is demographic data quantitative or qualitative? – Demographic data is typically quantitative. Fields for age range, country of residence, household income, heightthey’ve all got a limited number of possible answers and are categories we can define without measuring nebulous concepts like sentiment.

What are the demographic metrics?

From Wikipedia, the free encyclopedia Demographic statistics are measures of the characteristics of, or changes to, a population. Records of births, deaths, marriages, immigration and emigration and a regular census of population provide information that is key to making sound decisions about national policy.

  1. A useful summary of such data is the population pyramid,
  2. It provides data about the sex and age distribution of the population in an accessible graphical format.
  3. Another summary is called the life table,
  4. For a cohort of persons born in the same year, it traces and projects their life experiences from birth to death.

For a given cohort, the proportion expected to survive each year (or decade in an abridged life table ) is presented in tabular or graphical form. The ratio of males to females by age indicates the consequences of differing mortality rates on the sexes.

What are the 8 demographic variables?

Why Is Demographic Information Important? – No matter what industry you’re in – whether you’re developing new products, providing cleaning services, selling cars, or just trying to gauge public opinion, knowing the demographic data of your survey respondents can significantly affect the success of your business. Demographic questions are particularly useful if you’re looking to gather background information about your customers. Later on, you can upload this information on your CRM or Airtable data, and use it for various business predictions. If used properly, these enable you to learn more about your target audience.

They are often used to segment audiences on the basis of who they are and what they do, making it easier for you to be certain you’re targeting the right people, It’s worth noting, however, that demographic questions are just one of the 8 types of survey questions that can get you all the data you need.

Now, let’s examine some of the most commonly used demographic question examples.

What are the 6 types of demographics?

3. What Are the Six Main Types of Demographic Segmentation? – There are six major types of demographic segmentation: Age, gender, occupation, income, education, and family status. However, you can target other demographics that suit more the product or service you offer, such as ethnicity or religion.

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What is a demographic table in clinical trials?

The most commonly displayed table in a clinical oncology manuscript is a descriptive summary of the patient demographic data. This includes basic background information such as age, gender, race, and performance score as well as stratification or grouping factors determined by the study protocol.

What are 4 examples of demographics?

What is a demographic? – Demographics are statistical data that researchers use to study groups of humans. A demographic refers to distinct characteristics of a population. Researchers use demographic analysis to analyze whole societies or just groups of people. Some examples of demographics are age, sex, education, nationality, ethnicity, or religion, to name a few. Select your respondents

What is another term for demographic data?

synonyms for demographics – Roget’s 21st Century Thesaurus, Third Edition Copyright © 2013 by the Philip Lief Group. On this page you’ll find 7 synonyms, antonyms, and words related to demographics, such as: enumeration, poll, demography, statistics, population tally, and stats. QUIZ Don’t Go Retrograde On Your Word Of The Day Quiz Streak! START THE QUIZ

What is biographic data?

Understanding Biographical Information Personal information is personal data that distinguishes one individual from another. The most basic of this information is a person’s biographical data, which includes name, address, gender, marital status, and date of birth.

  1. When you manage many individuals in a database, you want to know and quickly access more than the basic information about them.
  2. With the personal information data pages, you can also enter and track an individual’s various telephone numbers and addresses (street, email, and uniform resource locator ), and you can maintain data about the individual’s ethnicity, visa and permits, citizenship and passports, languages, relationships, religious preference, emergency contacts, and work experience.

You can enter and maintain different name types for an individual. With effective dating, you can also maintain and review the history of name changes for each type. For example, when the divorced Mrs. Edith Jones advises your institution that she has remarried and changed her last name to Bramowitz, you can maintain her preferred name, Edith Bramowitz; her former name, Edith Jones; and her maiden name, Edith Brown.

Departments that need to know when these name changes occurred can determine that by reviewing the history of each name type. You can also enter and maintain different address types for an individual. For example, you might want to enter an individual’s home, business, mailing, and permanent address. You can update these addresses as needed and maintain the address change history.

In addition to traditional addresses, many individuals have at least one email or web address and several telephone numbers. You can enter and review electronic addresses and phone numbers in your system. After you enter addresses data, you can run processes to apply or remove seasonal addresses, update linked addresses, and search for a specific address for an individual.

Use the pages described in this documentation to report personal attributes, including the ethnicity of students, staff, and constituents in your campus community. The United States government requires that students must be placed in at least one of a limited number of ethnic groups. You can identify the reciprocal individual relationships that your institution wants to track.

Reciprocal relationships include spouses, mother and daughter or mother and son, brother and brother or brother and sister, employer and employee, and so on. You can use reciprocal relationships to associate an individual in your database with another individual inside or outside of your database.

When you associate two individuals, you can set up joint communications for them and maintain one joint address to which to send the joint communication. For example, you can set up a joint communication addressed to Mr. and Mrs. Smith. You can set the system to automatically verify the marital status that you enter on the Biographical Details Data page against the relationship that you select on the Relationships page.

To set automatic marital status verification, select the marital status and associated relationship on the Relationship/Marital Status page that you want the system to verify. If the verification determines that the marital status of either individual is not the specified status for that relationship, a warning message appears, suggesting that you update the marital status on the Biographical Details page.

For example, if you set the marital status of Married and the relationship of Spouse on the Relationships/Marital Status page, when you select the relationship of Spouse on the Relationships page, the system verifies that the marital status of each individual on the Biographical Details page is Married.

If the marital status of either individual is different from Married, the system displays the warning message. Note: Some default values for relationships are set on the Installation Defaults – Campus Community page including reciprocal relationships.

When the Create Reciprocal Relationship check box is selected on the Installation Default – CC page, the system automatically updates the relationship record for both IDs when you enter and save information on pages in the Relationship component. You can track which languages an individual can read, speak, or write and to what degree of proficiency.

You can also identify the religious preference, if any, reported by an individual and track the religious preferences of your overall campus community. You can also set preferences for the language and method by which an individual wants to receive communications from your institution.

You can enter the names, addresses, and telephone numbers of people to contact when an individual has an emergency situation. You can enter as many contacts and as many phone numbers for each contact as the individual provides or as your institution requires. You can use U.S. Standard Industry Classification (SIC) and Standard Occupational Classification (SOC) codes to identify and track data about an individual’s work experience, including the name of the individual’s former employer, employment begin and end dates, and the most current rate of pay.

You can enter or update most basic biographical data about an individual on the Biographical Details page when you create the personal record, or you can access pages described in this section to edit or update specific information. When you save information on the pages described in this section, the system writes it to the relevant maintenance tables and updates the same information on other pages where it appears, including the Biographical Details page.

What are the three demographic data?

Complementary Sources of Demographic and Social Statistics 1. It is well known that the three main sources of demographic and social statistics are censuses, surveys and administrative records. These three data sources are the principal means of collecting basic demographic and social statistics as part of an integrated programme of statistical data collection and compilation.

Together they provide a comprehensive source of statistical information for policy formulation, development planning, administrative purposes, research and for commercial and other uses.2. While these three sources are complementary, many countries use a combination or all three methods for various reasons.

Normally, countries select one of these sources to obtain statistics based on the needs of the respective data users; reliability and timeliness of the results; and practicality and cost-effectiveness of the method. In many countries, however, a particular method is used due to statutory requirements.3.