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Administrative data are electronic records of services, including insurance claims and registration systems from hospitals, clinics, medical offices, pharmacies and labs. For example, a measure titled Childhood Immunization Status requires health plans to identify 2-year-old children who have been enrolled for at least a year.
The proportion of the population who are susceptible to a particular disease is denoted S. Due to the problems mentioned above, it is difficult to know this parameter for a given population. However, in a population with a rectangular population distribution (such as that of a developed country), it may be estimated by:
Elisabeth Steubesand, 105 years old, the oldest citizen of Cologne and a high-risk individual. A high-risk individual, high-risk person, or high-risk population is a human being or beings living with an increased risk for severe illness due to age, medical condition, pregnancy/post-pregnant conditions, geographical location, or a combination of these risk factors.
The sample population contained females within the age range of 25–42, employed as nurses, from 14 U.S. States. [5] Data collected included the brand of pill and length of use. [5] Over time, the study expanded to include information on basic practices and measurements of health, such as exercise practices and food intake. [5]
NEPP extends the well-known measure number needed to treat (NNT) beyond the individual patient to the population. To describe the impact of a risk factor on causing ill health and disease the Population Impact Number of Eliminating a Risk factor (PIN − ER − t) is defined as "the potential number of disease events prevented in a population ...
Exclusion criteria concern properties of the study sample, defining reasons for which patients from the target population are to be excluded from the current study sample. Typical exclusion criteria are defined for either ethical reasons (e.g., children, pregnant women, patients with psychological illnesses, patients who are not able or willing ...
Instead of receiving treatment, Peterson was recruited for staff duties. He was ordered to help restrain other patients during electroshock therapy. “Either you are the shocker or the shockee,” the orderlies told him. Patients were forced to strip naked before bed and to leave their clothes in a pile outside the dormitory.
In the example of breast cancer screening, women overdiagnosed with breast cancer might receive radiotherapy, which increases mortality due to lung cancer and heart disease. [36] The problem is those deaths are often classified as other causes and might even be larger than the number of breast cancer deaths avoided by screening.
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