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Morbidity and Screening Procedures

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Need assistance with the following along with a reference:

- Suggest how understanding the course of a disease can be used to better measure and interpret morbidity. Provide specific examples to support your response.
- Analyze various sources of morbidity data and how morbidity can be measured using incidence and prevalence statistics, and make at least one recommendation for improvement. Provide specific examples to support your response.

"Screening": Need assistance with the following: In 225 words and a reference

- Screening is one approach used by epidemiologists to identify and detect disease. Assess one screening method used in epidemiology, and highlight the advantages and disadvantages of this method. Provide specific examples to support your response.
- Screening is typically done before symptoms occur in contrast to diagnostics testing, which takes place after disease symptoms have been manifested in the patient(s). Diagnostic testing often requires expensive, specialized equipment that is more time consuming, and may involve more pain, discomfort, or risks. Evaluate the pros and cons of screening and diagnostic testing, and make recommendations for the best possible blend of the two (or for the exclusive use of one). Explain your rationale.

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The following posting discusses morbidity and screening procedures.

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1) The morbidity of a disease is defined as the prevalence or rate of that disease in a population. Morbidity is often measured by taking a random sampling of the population and determining how many in that random sample have that condition or illness. Sometimes, this involves a survey (eg. by telephone). However, sometimes it is based on hospital statistics or by those who self-identify and volunteer their information. In this way, some diseases are often under-reported and the morbidity measure is actually lower than it is in reality. Understanding the course of disease, how symptoms appear and what populations are particularly susceptible help to measure and interpret morbidity. For example, when attempting to discern the morbidity of depression in the population, it is difficult to simply ask people if they are depressed. After all, many may not feel comfortable divulging that information and still others may not in fact know that they are depressed. Instead, in a survey, it is more useful to ask about symptoms of depression and deduce whether they are depressed or not based on that data.

2) There are various ways of getting morbidity data, each with their pros and cons. Some may overestimate morbidity, while others will underestimate morbidity. Taking statistics from hospitals or clinics is often quite precise in the sense that diagnoses are made, so the surveyor can be sure that the number given of people with a disease probably have the disease. However, not ...

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