2024-10-30T03:41:52+03:00[Europe/Moscow] en true <p>What is <strong>primary data</strong>?</p>, <p>What are some advantages and disadvantages of using primary data?</p>, <p>What is <strong>secondary data</strong>?</p>, <p>What are some advantages and disadvantages of using secondary data?</p>, <p>What are the criteria for the quality and utility of data?</p>, <p>Define <strong>nature of data</strong>.</p>, <p>Define <strong>availability of the data</strong>.</p>, <p>Define <strong>representativeness and thoroughness</strong>.</p> flashcards
Epidemiology, Chp. 5 - Sources of Data for Use in Epidemiology

Epidemiology, Chp. 5 - Sources of Data for Use in Epidemiology

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  • What is primary data?

    Data collected by the research team. Ex. surveys, in person interviews.

  • What are some advantages and disadvantages of using primary data?

    Disadvantages:

    - costly and resource intensive

    - recall bias and participant drop-out

    - difficult for a team to collect data at a population level

    Advantages:

    - can be manipulated for the specific research objectives

    - timely

  • What is secondary data?

    Health data collected by a secondary party. Often by national, provincial and regional government agencies. Ex. health insurance data, population surveys.

  • What are some advantages and disadvantages of using secondary data?

    Disadvantages:

    - not collected for research purposes

    - data dependent on individuals making contact with the health care system

    - varied compliance rates and error

    Advantages:

    - saves time and cost effective

    - enables the use of large sample sizes

    - can include the entire population

    - covers different aspects of society; can study the determinants of health

  • What are the criteria for the quality and utility of data?

    - nature of data

    - availability of data

    - completeness of population coverage: representative (validity), thoroughness

    - strengths vs limitations

  • Define nature of data.

    This is referring to the source of data. This includes whether the sources of data are vital statistics, case registries, surveys of the general population or cases from hospitals/clinics. The nature of the data affects the types of statistical analyses and interferences that are possible.

  • Define availability of the data.

    Relates to the investigator's access to a data source. Ex. medical records and other data with personal identifiers may not be used without patients' consent.

  • Define representativeness and thoroughness.

    Representativeness: the ability to apply the findings of a study to the population that didn't participate in the study. Ex. data was from medical students, generalizations of the results to other groups such as older adults wouldn't make sense.

    Thoroughness: the extent to which all cases of a health phenomenon have been identified. Ex.