Sample Answer for NUR 630 Quality Data Source Included After Question
The purpose of this assignment is to become familiar with various data sources used by health care
organizations to obtain quality data. The Agency for Healthcare Research and Quality (AHRQ) creates an
annual report, the National Healthcare Quality and Disparities Report, which assesses the performance of the
U.S. health care system. This report identifes strengths and weaknesses of the health care system in addition
to disparities for access to health care and quality of health care. The report is based on more than 250
measures of quality and disparities, and it covers a broad range of health care services and settings.
Access the most current report using the “National Healthcare Quality and Disparities Reports” AHRQ website,
provided in the topic Resources. Select fve data sources from this report and fll in the required components
on the “Quality Data Sources Organizer.”
While APA style is not required for the body of this assignment, solid academic writing is expected, and
documentation of sources should be presented using APA formatting guidelines, which can be found in the
APA Style Guide, located in the Student Success Center.
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A Sample Answer For the Assignment: NUR 630 Quality Data Source
Title: NUR 630 Quality Data Source
Health care organizations rely on timely and accurate data to make correct decisions about patient care. They also need data to assess the population’s health, vulnerabilities, and lifestyles to determine the approaches to use to keep people healthy. As the Agency for Healthcare Research and Quality (AHRQ) provides, data sources for quality data vary in terms of information and health care variables. The purpose of this quality data sources organizer is to explore different data sources for health care organizations.
|Is This a Source of Primary or Secondary Data?
|How / When / Where
the Information Might
|National Immunization Survey – Child (NIS-Child)
|The data include vaccination status and timing for diseases such as diphtheria, mumps, polio, and measles.
|The data is collected for children aged 19 to 35 months living in the U.S. during the interview time (AHRQ, 2019).
|Sex, race/ethnicity, people’s locations, income, Census Bureau region.
|Quarterly samples, albeit reported annually.
|Primary data; it is collected via interviews.
|The data can be used when examining the health status and vulnerabilities of populations. It can also be used when determining the interventions necessary to improve population’s health such as health education, screening, and vaccination programs.
|National Health Interview Survey (NHIS)
|A family’s chronic health conditions, behaviors, health care access and provider contacts, activity limitations, and immunizations.
|NHIS primarily targets the civilian non-institutionalized population in the U.S.
|Sex, age, race/ethnicity, education, and income. Other essential data include marital status, birth place, occupation, and industry.
|Primary data; NHIS is a cross-sectional household interview survey (AHRQ, 2019).
|Data can be used when determining people’s health and the impacts of social determinants of health on people, health, and well-being.
|National Health and Nutrition Examination Survey (NHANES)
|Information on health status, dietary intake and nutritional status, environmental health and risk factors, and infectious diseases and immunization status.
|The civilian non-institutionalized population in the U.S.
|Sex, age, race. Origin (Hispanic), level of education, birth place, occupation, and income.
|The data is fielded periodically.
|Primary data source; consists of questionnaires administered at home. Standardized physical examination of the target population follows, particularly through mobile examination centers.
|It can be used when exploring people’s risk of lifestyle diseases. Gherasim et al. (2020) mentioned that dietary intake and nutritional status determine people’s risk of lifestyle diseases such as obesity and diabetes. NHANES can be a reliable data source for such information among the non-institutionalized population living in the U.S.
|National HIV/AIDS Surveillance System
|HIV’s mode of exposure and case definition category and any other relevant clinical information.
|The entire U.S. population and territories.
|Age, sex, race, ethnicity, residence state and county, birth country, and whether a person is alive or not.
|Secondary; health centers send data to the Centers for Disease Prevention and Control (CDC).
|It can be used when examining country’s progress in fighting HIV infection.
|CDC’s Behavioral Risk Factor Surveillance System (BRFSS).
|Data on preventive health practices and risk behaviors related to chronic diseases, injuries, and preventive infectious diseases among adults.
|U.S. civilian non-institutionalized population residing in households.
|Sex, age, education, race, ethnicity, income, marital status, and employment status.
|Annual, albeit the data being collected monthly.
|Primary; telephone health surveys.
|A reliable source when determining people’s health practices and risk behaviors for chronic diseases. Risk factors for chronic diseases include alcohol and tobacco use, physical inactivity, and poor nutrition (CDC, 2021).
The above data sources provide valuable information for people and population health. Health care providers can use it to explore health-related behaviors, risks, and interventions necessary to maintain the population’s health. Besides these sources, many others provide information on various health aspects. It is important to review them to understand when and where to apply them.
AHRQ. (2019). 2017 National Healthcare Quality and Disparities Report Data Sources. https://www.ahrq.gov/sites/default/files/wysiwyg/research/findings/nhqrdr/2017datasources.pdf
CDC. (2021). About chronic diseases. https://www.cdc.gov/chronicdisease/about/index.htm
Gherasim, A., Arhire, L. I., Niță, O., Popa, A. D., Graur, M., & Mihalache, L. (2020). The relationship between lifestyle components and dietary patterns. Proceedings of the Nutrition Society, 79(3), 311-323. https://dx.doi.org/10.1017%2FS0029665120006898