Evaluation of Secondary Data Sources for Epidemiological Research on Adult Hypertension
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Evaluation of Secondary Data Sources for Epidemiological Research on Adult Hypertension
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Adult Hypertension and the Epidemiological Value of Secondary Data
High blood pressure, sometimes known as hypertension, is among the most prevalent causes of mortality in the United States. Hypertension is well established as a factor that increases the risk of cardiovascular disease. In 2015, it was the leading contributor to disability-adjusted life years worldwide. When their blood pressure is measured, most patients with hypertension have readings above 140/90 mmHg. However, they typically do not exhibit clinical symptoms. Several institutions have produced datasets concerning the prevalence of hypertension in the United States and worldwide. As a result, this discussion examines different datasets relating to the incidence of hypertension among adults in the United States, the reliability of these datasets in epidemiological studies, and the relevant variables contained within them.
Hypertension as a Significant Population Health Concern
In the present-day United States, adult hypertension is a serious population health concern because of its high prevalence and significant association with cardiovascular disease and premature mortality. High blood pressure is consistently dangerous and may be fatal. Between 2009 and 2012, approximately 80 million adults in the United States had hypertension. Currently, around 972 million people worldwide are believed to have hypertension (Friis & Sellers, 2021).
Targeted and population-based approaches can be used to achieve the overall prevention and management objectives for hypertension. The Chronic Care Model, which represents a cooperative partnership among patients, healthcare professionals, and the healthcare system, provides a strong method for adopting a multilevel approach to the condition.
Secondary Health Surveillance Sources for Hypertension Research
The secondary data sources to be used in this study include the Centers for Disease Control and Prevention (CDC), the National Hospital Ambulatory Medical Care Survey, the World Health Organization (WHO), and the United States Census Bureau. These sources represent health surveillance programmes and agencies that monitor population characteristics and health outcomes.
These datasets provide information from different geographical, demographic, clinical, and socioeconomic perspectives. Their combined use may allow the researcher to examine the prevalence of hypertension, differences among population groups, healthcare utilisation patterns, and relationships between socioeconomic status and health outcomes.
Demographic, Clinical, and Socioeconomic Variables within the Datasets
CDC data on hypertension reveal the prevalence of high cholesterol, obesity, and hypertension among individuals aged 20 years and older between 1999–2000 and 2017–2018, with the results adjusted for age (CDC, 2023). The data variables include age and blood cholesterol levels. By dividing participants into age ranges of 20–39 years, 40–59 years, and 60 years and older, the data can be used to investigate the incidence of hypertension across different stages of adulthood.
Respondents’ blood pressure measurements will also be central to the study. These include systolic blood pressure greater than or equal to 130 mmHg or diastolic blood pressure greater than or equal to 80 mmHg among individuals taking medication. The study will also evaluate how the number of hypertension cases varies according to gender and educational level.
Furthermore, the National Hospital Ambulatory Medical Care Survey provides recent nationally representative statistics on ambulatory care visits to hospital emergency departments in the United States through the National Center for Health Statistics. Using information gathered from the 2018 survey, estimates were developed according to factors such as the selected facility, patient characteristics, and visit characteristics.
The data will be used to examine the variation and relationship between the type of hospital and the proportion of patients with hypertension who attend the facility. These variables may help determine whether hypertension-related visits differ according to hospital characteristics, patient demographics, or patterns of healthcare utilisation.
Statistics concerning hypertension in relation to participants’ income or household circumstances are based on information from the World Health Organization about hypertension prevalence in the general population. Data are gathered from numerous countries for healthcare planning and decision-making. A substantial part of the assessment will examine how the number of hypertension cases varies according to patients’ socioeconomic position.
In addition, data from healthcare organisations and hospitals documented by state are provided by the United States Census Bureau. This dataset will be useful for examining variations in annually reported hypertension cases and the number of deaths relative to each state’s population. The importance of this variable lies in its potential to predict how hypertension cases may develop within individual states.
Validity and Reliability of National and International Health Datasets
Many national and international organisations provide valuable data that can support the study. According to CDC data, adults aged 18 years and older had an age-adjusted hypertension prevalence of approximately 45.1% (CDC, 2023). The CDC used an original method to collect and organise the information.
Using the 2017–2018 data and reassigning the primary sampling units for 2019–2020 to the strata of the 2015–2018 sample design produced a dataset capable of generating robust national survey estimates with a 95% confidence level (Bryan et al., 2021). The CDC has also applied this approach when estimating outcomes for individuals with type II diabetes. In addition, the National Hospital Ambulatory Medical Care Survey has conducted research concerning high blood pressure.
The National Hospital Ambulatory Medical Care Survey report presents information collected by the National Center for Health Statistics concerning nationally representative ambulatory care visits to hospital emergency departments in the United States. Using information from the 2018 survey, estimates were produced from several variables, including the hospital visited, patient characteristics, and features of the visit.
The data can therefore be used to determine the variation and relationship between the type of healthcare facility and the number of patients with hypertension it receives. The use of nationally representative sampling increases the value of the dataset for population-level epidemiological analysis.
World Health Organization data present estimates from different regions of the world. The dataset reveals variations in reported hypertension cases and the socioeconomic status of affected individuals. It also demonstrates differences in hypertension prevalence among countries and regions.
Globally, approximately 1.28 billion people between the ages of 30 and 79 years have hypertension, with around two-thirds living in low- and middle-income countries (WHO, 2021). The highest prevalence is reported in Africa, while regions within the Americas indicate lower prevalence rates. Because the data are supported by multiple research investigations, they are regarded as credible and widely accepted.
Strengths of Using Secondary Data for Hypertension Studies
Secondary datasets provide several advantages for epidemiological research. They allow researchers to examine large populations without conducting expensive and time-consuming primary data collection. National and international databases may contain information collected over several years, making it possible to analyse trends in hypertension prevalence and associated risk factors.
Secondary data also permit comparisons among age groups, genders, educational categories, income levels, states, countries, and healthcare facilities. The use of standardised surveillance systems may strengthen consistency and allow researchers to identify health inequalities within and between populations.
Datasets produced by organisations such as the CDC and WHO are particularly useful because they are collected through structured procedures and are frequently used to guide health policy and clinical decision-making. Their broad coverage allows researchers to assess hypertension as both a national and global public health issue.
Limitations and Challenges in Obtaining Appropriate Datasets
The complexity of some secondary-source material may present the first obstacle during the research process. Information contained within some sources can be difficult to interpret. For example, without appropriate software, organising the data may be challenging because of the large volume of information.
Licensing requirements represent another potential obstacle. Several private websites use secure login systems that prevent access by unauthorised individuals. Researchers may need extensive licensing documentation or permission keys before gaining access to protected datasets. In addition, some websites sell access to user data. It may therefore be difficult for independent researchers or individuals who are not financially supported by an organisation to purchase the required information.
Data-access policies represent a further challenge. Researchers may experience difficulty obtaining datasets from academic publications because some sources impose restrictive access conditions (Curley, 2020). For example, a researcher may be required to provide identification, an email address, and other personal information before accessing the data.
Such requirements may conflict with the research code of conduct in particular settings or circumstances. Some data-access policies also impose restrictions based on nationality or country of residence. These limitations may reduce the availability of relevant information and influence the selection of secondary sources.
Integrated Assessment of Secondary Data for Hypertension Surveillance
Secondary data from the CDC, the National Hospital Ambulatory Medical Care Survey, the World Health Organization, and the United States Census Bureau can provide valuable evidence concerning adult hypertension. These datasets contain demographic, clinical, socioeconomic, institutional, and geographical variables that support comparisons across different populations.
The principal strengths of these sources include large sample sizes, national or international coverage, standardised data-collection procedures, and the ability to examine health trends over time. However, researchers must also consider limitations related to data complexity, licensing, restricted access, software requirements, variable definitions, and differences in data-collection procedures.
Careful evaluation of the validity, relevance, and accessibility of each dataset is therefore essential. When selected and interpreted appropriately, secondary health data can support effective epidemiological research, guide hypertension-prevention strategies, and contribute to evidence-based population health decision-making.
References
Bryan, S., Afful, J., Carroll, M., Te-Ching, C., Orlando, D., Fink, S., & Fryar, C. N. H. S. R. (2021). NHSR 158. National Health and Nutrition Examination Survey 2017–March 2020 Pre-Pandemic Data Files. National Center for Health Statistics (US): Hyattsville, MD, USA.
CDC. (2023, January 25). Hypertension. Centers for Disease Control and Prevention. Retrieved from https://www.cdc.gov/nchs/fastats/hypertension.htm
Curley, A. L. C. (Ed.). (2020). Population-based nursing: Concepts and competencies for advanced practice (3rd ed.). Springer.
Friis, R. H., & Sellers, T. A. (2021). Epidemiology for public health practice (6th ed.). Jones & Bartlett.
WHO. (2021). Hypertension. World Health Organization. Retrieved from https://www.who.int/news-room/fact-sheets/detail/hypertension