describe how epidemiological data influences changes in health practices

To indicate numeric intensity, use increasing intensity of gray from white to black. DQ1 Describe how epidemiological data influences changes in health practices. The Health Insurance Portability and Accountability Act (HIPAA) of 1996 (31) has specific language allowing for the use of personal health information by government agencies to perform public health activities. On maps representing land areas, indicate longitude and latitude and orientation (i.e., by using a northward-pointing arrow). Because population estimates or censuses follow standard geographic areas (e.g., city, census tract, county, state, or country), determination of rates is also restricted to these same areas. Coordination of epidemiologic studies (e.g., common methods, questionnaires), having a national database of PFGE patterns to identify outbreak-associated isolates, and an FDA product trace-back were key to identifying the cause, which resulted in a widespread product recall (and eventual criminal liability of the peanut butter producer). Source: Adapted from Ajloun Non-Communicable Disease Project, Jordan, unpublished data, 2017. These cookies may also be used for advertising purposes by these third parties. Equal rates of change in time (e.g., a 10% decrease/year) will yield misleading, divergent lines on an arithmetic plot; a logarithmic scale will yield parallel lines. To assess the impact of drinking contaminated water on blood lead levels (BLLs), the distribution of BLLs 5 g/dL or higher among children less than 6 years of age before, during, and after the switch in water source was assessed. Provide an example and explain what data would be necessary to make a change in practice. Vectorborne diseases propagate between an arthropod vector and a vertebrate host. With acute infections, poisonings, and injuries, you will often have precise exposure times to different suspected agents. Official websites use .gov Information about determining whom to select is covered in study design discussions in Chapter 7, but sample size is worth briefly mentioning here. To make the proper diagnosis and prescribe appropriate treatment for a patient, the clinician combines medical (scientific) knowledge with experience, clinical judgment, and understanding of the patient. Vital statistics remain an important source of data for understanding leading and unusual causes of death (e.g., childhood influenza-associated, viral hemorrhagic fever, variant Creutzfeldt-Jakob disease), and their timeliness is improving thanks to the electronic death reporting system, which many states have implemented (5). The feasibility of reaching participants through different modes. They help us to know which pages are the most and least popular and see how visitors move around the site. This demonstrates how review of secular trends can bring attention to key events, improvements in control, changes in policy, sociologic phenomena, or other factors that have modified the epidemiology of a disease. This means that the results of such a study may be quite different from a study in which actual hearing (audiometric) tests are administered to each person in a household. Provide an example and explain what data would be necessary to make a change in practice. These cookies may also be used for advertising purposes by these third parties. Epidemic curves often have patterns that reveal likely transmission modes. The rapid increase, plateau, and precipitous downslope all appeared with a salmonellosis outbreak from cheese distributed to multiple restaurants and then recalled (Figure 6.5). Graph the number of cases of congenital syphilis by year for the country, ____ 5. The map is divided into population enumeration areas for which rates or ratios can be computed. To assess adverse effects from a vaccine or pharmaceutical, consider using total doses distributed as the denominator. Lack of generalizability because of selection bias, variable participation rates. On the opposite end of the scale, injuries and acute poisonings have instantaneous and obvious onsets. In fact, epidemiology is often described as the basic science of public health, and for good reason. See answer Advertisement ah6129783 Data influences changes in health practices provide a Advertisement Advertisement Each person providing such an answer may interpret trouble hearing differently. Nonetheless, accessing data sources that are not specifically collected and maintained by public health authorities can be challenging. Sources of data and approaches to data collection vary by topic. This is important so that we have a background, and average on these ailments that we may see within the healthcare practice. Time has special importance in interpreting epidemiologic data in that the initial exposure to a causative agent must precede disease. Collecting mortality statistics and classifying the causes of death dates to the 1500s in London, when the Bill of Mortality was periodically published (2). Seasonal patterns might be summarized in a seasonal curve (Box 6.8). By September, an increased number of infants with microcephaly was reported from Zika virusaffected areas. With the advent of personal computers in most households and smartphones in many pockets (23), epidemiologists are evaluating the utility of the Internet and social media as data sources for identifying outbreaks or case finding during outbreak investigations. Stratifying seasonal curves can further expose key differences by place, person, or other features (Figure 6.12) (12). Compare the association of cases during these pre-and post-epidemic periods with the main outbreak. Nowhere are data more important than during a field epidemiologic investigation to identify the cause of an urgent public health problem that requires immediate intervention. The x-axis represents a period of interest. WebHealthcare data improves communication between patients and healthcare providers and provides doctors with an in-depth understanding of specific health conditions. Minimize frames, gridlines, and tick marks (610/axis is sufficient) to avoid interference with the data. Epidemiology is also used to search for determinants, which are the causes and other factors that influence the occurrence of disease and other health-related events. The counts of incident or prevalent cases can be compared with their historical norm or another expected or target value. Using three or more significant figures interferes with comparison and comprehension. By law, most states require laboratories that identify causative agents of notifiable diseases to send case information electronically to state public health agencies. These cookies perform functions like remembering presentation options or choices and, in some cases, delivery of web content that based on self-identified area of interests. If the survey is interviewer-administered, it should include fields for interviewer name and interview date. Because corrosion control was not used at the FWS water treatment plant, the levels of lead in Flint tap water increased over time. Align columns of numbers on the decimal point (or ones column). Temporal disease rates are usually illustrated by using a line graph (Box 6.4). Returning now to counts, you can calculate expected case counts for a population by multiplying an expected (e.g., historical counts, increased surveillance, or output from prevention and control programs) or a target rate by the population total. or https:// means you've safely connected to the .gov website. A statistical data display should include, at a minimum, F, female; M, male. An outbreak of dengue arising from a single imported case in a South China town reveals several of these features (Figure 6.6) (8). Indeed, the term health-related states or events may be seen as anything that affects the well-being of a population. This expected or target case count is now corrected for the population and can be compared with the actual observed case counts. Contact between severe acute respiratory syndrome (SARS) cases among a group of relatives and health care workers: Beijing, China, 2003. In this chapter, additional guidelines for preparing these data displays will appear where the specific data display type is first applied. Students of journalism are taught that a good news story, whether it be about a bank robbery, dramatic rescue, or presidential candidates speech, must include the 5 Ws: what, who, where, when and why (sometimes cited as why/how). Always check whether data sources are providing incident (new events among the population) or prevalent (an existing event at a specific point in time) cases. Commonly in descriptive epidemiology, you organize cases by frequency of clinical findings (Table 6.2) (3). - Epidemiologists and nurse researchers use descriptive, analytic, and Use time intervals of half an incubation or latency period or less. Examples of data sources for assessing possible exposures include sales receipts (e.g., meals ordered online or food items purchased from a particular store) (20) and law enforcement data (e.g., drug seizures involving illicit fentanyl in conjunction with opioid overdose deaths due to fentanyl) (21). Examples of these data sources include Google hits for antidiarrheal or antipyretic medications to detect outbreaks of gastrointestinal illness or influenza (24) and social media (e.g., Facebook, Twitter, blogs) to identify contacts of patients with sexually transmitted infections, restaurants where case-patients ate or products they ate before becoming sick, or levels of disease activity during influenza season (25). Footnotes that explain any abbreviations used, the data sources, units of measurement, and other necessary details or data. Similarly, prevalent case counts divided by the population from which they arose produce a proportion (termed prevalence). Epidemiologists work with other scientists to find who is infected, why they were infected, Provide an After evaluating whether existing data can address the study objectives, the field epidemiologist must determine whether additional data need to be collected and, if so, what and how (Box 4.4). When interpreting spot maps, keep in mind the population distribution with particular attention to unpopulated (e.g., parks, vacant lots, or abandoned warehouses) or densely populated areas. Existing data on health risk behaviors might be available from population-based surveys, but these surveys generally are conducted only among a small proportion of the total population and are de-identified. If the classification variable is numeric (e.g., age group), sort by the numeric category. When creating graphics and interpreting distributions of disease by place, keep in mind Waldo Toblers first law of geography: Everything is related to everything else, but near things are more related than distant things (13). cDefined as current use of asthma medicine or one or more of the following symptoms during the previous 12 months: wheezing or whistling in the chest, awakening with a feeling of chest tightness, or attack of asthma. Length and complexity of the survey. Probability sampling is a better choice for statistical tests and statistical inferences. Plot the rate, average, or total for each interval on a histogram or line graph. You will be subject to the destination website's privacy policy when you follow the link. Is the objective to identify factors in the environment that might be causing disease (e.g., elevated lead levels in drinking water)? Additional existing data sources can help identify cases, determine background rates of human illness, or assess exposures to disease-causing agents (e.g., pathogenic bacteria, vectors, environmental toxins) in a field investigation. Secular trends of invasive cervical cancer (Figure 6.11) reveal steady decreases over 37 years (11). They are often different and have distinct epidemiologic implications. This area also had been affected by an outbreak of dengue fever. Use separate, equally scaled epidemic curves to indicate different groups. Age-adjusted rates can be used for comparing populations from different areas, from the same area at different times, and among other characteristics (e.g., ethnicity or socioeconomic status). In arranging analytical tables, you should begin with the arrangement of the data space by following a simple set of guidelines (Box 6.3) (1). Avoid using area maps to display case counts. Similarly, times of suspected exposures vary in their precision. Certain sensitive topics (e.g., sexual behaviors) might be better for a self-administered survey than a phone survey. Avoid pie charts, cluster bar charts, stacked bar charts, and other types not presented in this chapter. WebAn example of how epidemiological data influences changes in health practices is with the pandemic we are currently experiencing (Covid-19). We take your privacy seriously. Also, many epidemiological estimates try to determine how the number of people affected by a disorder changes over time. Study design (e.g., cohort study, casecontrol study). During the 1800s, Dr. William Farr developed a disease classification system that ushered in the era of modern vital statistics (3). When the agent is unknown, the time interval between presumed exposures and onset of symptoms helps in hypothesizing the etiology. WebEpidemiological data influences changes in healthcare practices by allowing researchers to explore certain populations and determine distribution and determinants of health, to initiateinformed decisions about the control of health problems (Hannaford & Often, this will follow a biologically determined interval. questions to generate hypotheses; casecontrol studies used common questionnaires of 300 possible food items; studies identified peanut butter products as common exposure. Although engaging stakeholders, such as other public health agencies, community partners, industry leaders, affected businesses, healthcare practitioners, customers, and regulatory agencies, early in an investigation is time-consuming, including them is essential. Keep keys, legends, markers, and other annotations out of the data space. WebEpidemiological data influences changes in health practices in the following ways: These data can be used for the understanding of population-level disease progression. CDC is not responsible for Section 508 compliance (accessibility) on other federal or private website. National Center for State, Tribal, Local, and Territorial Public Health Infrastructure and Workforce, U.S. Department of Health & Human Services. laboratory subtyping of isolates (i.e., PFGE) identified outbreak-associated cases across multiple jurisdictions. Participants were less likely to complete the Internet surveys. For incident cases, specify the period during which the cases occurred. Many definitions have been proposed, but the following definition captures the underlying principles and public health spirit of epidemiology: Epidemiology is the study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems (1). Epidemiology is the study (scientific, systematic, data-driven) of the distribution (frequency, pattern) and determinants (causes, risk factors) of health-related states and events (not just diseases) in specified populations (patient is community, individuals viewed collectively), and the application of (since epidemiology is a discipline within public health) this study to the control of health problems. An important initial step in collecting data as part of a field investigation is determining the mode of data collection (e.g., self-administered, mailed, phone or in-person interview, online survey) (29). After the initial case, 15 days elapsed until the peak of the first generation of new cases. In contrast, if the public believes an outbreak resulted from eating a specific food item or eating at a specific restaurant, that belief can preclude the field epidemiologists ability to obtain accurate data after a press release has been issued because it might cause self-report bias among study participants. Interviewer-administered surveys provide more control by the interviewer than self-administered ones. Below are three key terms taken from the definition of epidemiology, followed by a list of activities that an epidemiologist might perform. Cases can be plotted on a base map (Figure 6.13 [14]), a satellite view of the area, a floor plan, or other accurately scaled diagram to create a spot map. When starting data entry, check several records against the completed survey instrument for accuracy and consider double data entry of a sample of surveys to check for errors. Exposure to lead has significant adverse health effects (e.g., developmental delays) particularly for young children with developing brains. These cookies perform functions like remembering presentation options or choices and, in some cases, delivery of web content that based on self-identified area of interests. A mixed mode of survey administration (e.g., mailed survey with phone follow-up) might be less expensive to conduct than a phone-only survey, but it also increases study complexity. Genotyping data on specific infectious agents (e.g., Salmonella strains) produced by state public health laboratories are loaded to CDCs PulseNet database to enable identification of cases across jurisdictions that might have a common source (Box 4.1) (9). As a field epidemiologist, you will collect and assess data from field investigations, surveillance systems, vital statistics, or other sources. A propagated pattern arises with agents that are communicable between persons, usually directly but sometimes through an intermediate vehicle. Make sure overlapping plotting symbols are distinguishable. Describe how epidemiological data influences changes in health practices. You should also use a logarithmic scale for comparing two or more population groups. Another example is injuries from snowmobile use, which have been calculated both as ratios per registered vehicle and as per crash incident (4). Use the smallest possible administrative area that the numerator and denominator will allow. After the data are organized and displayed, descriptive epidemiology then involves interpreting these patterns, often through comparison with expected (e.g., historical counts, increased surveillance, or output from prevention and control programs) patterns or norms. The field epidemiologist must understand the characteristics of the study population and their ability and willingness to respond to various survey methods (e.g., access computers and Internet-based surveys). Match the term to the activity that best describes it. WebDQ9 : Describe how epidemiological data influences changes in health practices. The resulting rate allows epidemiologists to compare disease occurrence across different populations.

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describe how epidemiological data influences changes in health practices

describe how epidemiological data influences changes in health practices

describe how epidemiological data influences changes in health practices