what are statistical illnesses course hero

Why should I take this course in statistics?

By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to:

What is the importance of Statistics in healthcare?

These "demographic" statistics can predict the types of services that people are using and the level of care that is affordable to them. What Are Health Care Regulatory Agencies? Heath care economists Rexford Santerre and Stephen Neun emphasize the importance of statistics in the allocation of scarce medical resources 1.

What do you mean by Statistics?

Definition: Statistics is a branch of mathematics concerned with collecting meaningful data or information. Collection of Data: The data collected to define a state or condition. 1. Give any two examples of collecting data from day-to-day life. A. Increase in population of our country in the last two decades.

What data is needed to analyze a health problem?

After morbidity, mortality, and other relevant data about a health problem have been gathered and compiled, the data should be analyzed bytime, place, and person. Different types of data are used for surveillance, and different types of analyses might be needed for each.

Who emphasizes the importance of statistics in the allocation of scarce medical resources?

Why is it important to know statistics in healthcare?

Why is health care statistics important?

Why are statistics important?

Why do researchers use scientific methods to gather data on human population samples?

What is the purpose of demographic statistics?

Why are clinical trials collected and carefully reported?

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What does statistics mean in health?

Health statistics are numbers that summarize information related to health. Researchers and experts from government, private, and non-profit agencies and organizations collect health statistics. They use the statistics to learn about public health and health care.

What are statistical methods in healthcare?

Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success.

Why is statistics important in health?

Health statistics are used to understand risk factors for communities, track and monitor diseases, see the impact of policy changes, and assess the quality and safety of health care. Health statistics are a form of evidence, or facts that can support a conclusion.

What is biostatistics in health research?

The National Cancer Institute defines biostatistics as “the science of collecting and analyzing biologic or health data using statistical methods.” The use of statistics in health care dates back more than a century to the earliest application of the scientific method in medical research.

What are the statistical methods?

Two main statistical methods are used in data analysis: descriptive statistics, which summarizes data using indexes such as mean and median and another is inferential statistics, which draw conclusions from data using statistical tests such as student's t-test.

What are statistical tests used in medical research?

Statistical tests described include t-tests, ANOVA and chi-square tests. Multiple regression is also explored for both logistic and linear regression. Finally, the most common statistics produced by these methods are explored.

What are the sources of health statistics?

These statistics are generated mainly through routine sources from Health Services Delivery points such as hospitals, clinics, maternity homes and dispensaries. They are then collated at the Local Government Area, State and the National levels.

Why is it important to understand statistical concepts?

Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions.

Why is it important to understand how statistics is used in healthcare research?

The use of statistics thus allows a clinical researcher to draw reasonably accurate inferences, despite the uncertainty inherent in the biological systems.

What is biostatistics in simple words?

Definition of biostatistics : statistics applied to the collection, analysis, and interpretation of biological data and especially data relating to human biology, health, and medicine.

What are the main uses of biostatistics in healthcare?

In essence, the goal of biostatistics is to disentangle the data received and make valid inferences that can be used to solve problems in public health. Biostatistics uses the application of statistical methods to conduct research in the areas of biology, public health, and medicine.

What is an example of biostatistics?

For example, a biostatistician might study birth defects caused by selective serotonin reuptake inhibitors. Biostatisticians could test how exercise correlates to hypokinetic diseases. A biostatistician may investigate the harm of environmental air pollution on people's lungs.

What is medical statistical data?

Medical statistics is a subdiscipline of statistics. "It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses.

How do you write a statistical analysis section in medical research?

ResultsStep 1: specify study objective type and outcomes (overall approach) ... Step 2: specify effect size measure according to study design (interpretation and practical value) ... Step 3: specify study hypothesis, reporting of p values, and interval estimates (interpretation and decision)More items...•

How is standard deviation used in healthcare?

The standard deviation is a common measure of "dispersion", how spread out from each other one's data are. In healthcare, the mean and standard deviation may be used for example to describe the average result of interventions like medications or surgery.

How is normal distribution used in healthcare?

Normal distribution-based methods. Methods based on the normal distribution are widely employed in the estimation of mean healthcare resource use and costs. They include inference based on the sample mean (such as the t-test) and linear regression approaches (such as ordinary least squares, OLS).

Importance of Statistics in Healthcare | Pocketsense

For many health care professionals, statistics may seem to have little connection to patient care issues and concerns. However, statistics are useful allies in identifying effective treatments and understanding the overall health of a population.

What Is the Importance of Statistics in Medicine? - Reference.com

Health statistics provide a clear indicator as to the well-being of a population, individual or country, according to the U.S. National Library of Medicine. Statistics in medicine help assess patients and provide insight into subgroups within a population.

National Center for Biotechnology Information

National Center for Biotechnology Information

Importance Of Statistics In Nursing | ipl.org

be highly effective for improving clinical outcomes and reducing cost. Teaching methods that incorporate opportunities for interdisciplinary education and collaborative practice are required to prepare nurses for their unique professional role and to understand the role of other disciplines in the care of patients.

The Role of Statistics in the Development of Health Care Policy

The Role of Statistics in the Development of Health Care Policy DOROTHY P. RICE* Abstract The growth of the health care industry places increasing strain

Who emphasizes the importance of statistics in the allocation of scarce medical resources?

Heath care economists Rexford Santerre and Stephen Neun emphasize the importance of statistics in the allocation of scarce medical resources 1.

Why is it important to know statistics in healthcare?

Statistics are important to health care companies in measuring performance success or failure. By establishing benchmarks, or standards of service excellence, quality improvement managers can measure future outcomes.

Why is health care statistics important?

Health care statistics are critical to allocative and production efficiency. Inevitably, allocation decisions involve trade-offs--the costs of lost or missed opportunities in choosing one economic decision over another. Reliable statistical information minimizes the risks of health care trade-offs. Heath care economists Rexford Santerre ...

Why are statistics important?

Wallnau, statistics "create order out of chaos" by summarizing and simplifying complex human populations 2. Statistics are equally important to pharmaceutical and technology companies in developing product lines that meet the needs of the populations they serve.

Why do researchers use scientific methods to gather data on human population samples?

Researchers employ scientific methods to gather data on human population samples. The health care industry benefits from knowing consumer market characteristics such as age, sex, race, income and disabilities. These "demographic" statistics can predict the types of services that people are using and the level of care that is affordable to them.

What is the purpose of demographic statistics?

These "demographic" statistics can predict the types of services that people are using and the level of care that is affordable to them.

Why are clinical trials collected and carefully reported?

Data are collected and carefully reported in clinical trials of new technologies and treatments to weigh products' benefits against their risks.

What are the specifiers and subtypes of a disorder?

Specifiers and subtypes delineate phenomenological variants of a disorder indicative of specific subgroupings, which impact, among other outcomes, on treatment planning and treatment developments. The numbers of specifiers and subtypes in the DSM-5 has been expanded to account for efforts to dimensionalize disorders more so than in the DSM-IV. Within the depressive disorders and bipolar and related disorders, a specifier of “with mixed features” replaces the diagnosis of bipolar I, mixed episode in the DSM-IV, given that subthreshold mixed states of major depressive and manic episodes are much more common and may have specific treatment implications 42,43but would be excluded from diagnosis by continuing DSM-IV's requirement that full criteria are met for both syndromes. The “with mixed features” specifier, therefore, now applies to unipolar as well as bipolar conditions. A specifier of “with limited prosocial emotions” is added to conduct disorder for children displaying extreme callousness and negative affectivity, different severity (e.g., more frequent and severe patterns of aggression), and poorer treatment response than children who do not qualify for the specifier 44. Specific treatment interventions have been developed that are more successful with this subgroup.

What is the ICD chapter for mental health?

Historically, the World Health Organization (WHO) has offered its own system of mental disorder classification in Chapter V of the International Classification of Diseases (ICD), largely used for reimbursement purposes and compiling national and international health statistics.

What is the DSM 5?

The Diagnostic and Statistical Manual of Mental Disorders (DSM) provides the standard language by which clinicians, researchers, and public health officials in the United States communicate about mental disorders. The current edition of the DSM, the fifth revision (DSM-5) 1, was published in May 2013, marking the first major overhaul ...

What are some examples of DSM-IV disorders?

Some DSM-IV disorders were combined to form spectra disorders in the DSM-5. The most notable example is ASD , which includes symptoms that characterize previous DSM-IV autism disorder, Asperger's disorder, child disintegrative disorder, and pervasive developmental disorder NOS. This proposed revision was developed because of the presence of very poor reliability data, that failed to validate their continued separation 40. Although the DSM-5 describes all of these presentations under one rubric, specifiers are provided to account for ASD variations, including specifiers for the presence or absence of intellectual impairment, structural language impairment, co-occurring medical conditions, or loss of established skills. A child previously diagnosed with Asperger's disorder under the DSM-IV could therefore be diagnosed under the DSM-5 with ASD , with the specifiers “without intellectual impairment” and “without structural language impairment”.

What is the chapter on obsessive compulsive disorder?

In the obsessive-compulsive and related disorders chapter are body dysmorphic disorder (previously classified in DSM-IV's “somatoform disorders”) and trichotillomania (hair-pulling disorder), which belonged to DSM-IV's chapter on “impulse-control disorders not elsewhere classified”.

Where is the abbreviated description of the major deviations from the DSM-IV?

An abbreviated description of the major deviations from the DSM-IV can be found in the Appendix of the manual itself, with a more detailed version online (http://www.psychiatry.org/dsm5). What follows below is a select summary of revisions.

Is mental health a discrete entity?

Despite the statement in the DSM-IV that “there is no assumption that each category of mental disorder is a completely discrete entity with absolute boundaries dividing it from other mental disorders” (2, p. xxxi), the use of strict categorical boundaries has given the impression of psychiatric disorders as unitary, discrete phenomena. Throughout general medicine, conditions are frequently conceptualized on a continuum from “normal” to pathological, without relying on a singular threshold to distinguish the presence or absence of disease, as in serum cholesterol and glycated hemoglobin. In evolving toward a structure that more closely follows this approach, the DSM-5 includes dimensional aspects of diagnosis along with categories. Although, ultimately, diagnosis is still largely dependent on a “yes or no” decision, use of specifiers, subtypes, severity ratings, and cross-cutting symptom assessments help clinicians better capture gradients of a disorder that might otherwise be hindered by a strict categorical approach.

Who emphasizes the importance of statistics in the allocation of scarce medical resources?

Heath care economists Rexford Santerre and Stephen Neun emphasize the importance of statistics in the allocation of scarce medical resources 1.

Why is it important to know statistics in healthcare?

Statistics are important to health care companies in measuring performance success or failure. By establishing benchmarks, or standards of service excellence, quality improvement managers can measure future outcomes.

Why is health care statistics important?

Health care statistics are critical to allocative and production efficiency. Inevitably, allocation decisions involve trade-offs--the costs of lost or missed opportunities in choosing one economic decision over another. Reliable statistical information minimizes the risks of health care trade-offs. Heath care economists Rexford Santerre ...

Why are statistics important?

Wallnau, statistics "create order out of chaos" by summarizing and simplifying complex human populations 2. Statistics are equally important to pharmaceutical and technology companies in developing product lines that meet the needs of the populations they serve.

Why do researchers use scientific methods to gather data on human population samples?

Researchers employ scientific methods to gather data on human population samples. The health care industry benefits from knowing consumer market characteristics such as age, sex, race, income and disabilities. These "demographic" statistics can predict the types of services that people are using and the level of care that is affordable to them.

What is the purpose of demographic statistics?

These "demographic" statistics can predict the types of services that people are using and the level of care that is affordable to them.

Why are clinical trials collected and carefully reported?

Data are collected and carefully reported in clinical trials of new technologies and treatments to weigh products' benefits against their risks.