Question

You are an epidemiologist researching lack of health insurance as a risk factor for HIV. You want to know if lack of access to health insurance can be causally linked to HIV infection. There are many ways to evaluate the likely causality of an epidemiological association. You want to apply the "no manipulation, no causation" approach (also known as the "well defined intervention" approach) to your research. Explain how this framework could be implemented in your research on the links between health insurance and HIV, including, for example: a. What is the ideal intervention? b. Are there exclusion criteria? (What is your target population?) c. What factors you would want to match your groups on at baseline to ensure a good comparison?

          You are an epidemiologist researching lack of health insurance
as a risk factor for HIV. You want to know if lack of access to
health insurance can be causally linked to HIV infection. There are
many ways to evaluate the likely causality of an epidemiological
association. You want to apply the "no manipulation, no causation"
approach (also known as the "well defined intervention" approach)
to your research. Explain how this framework could be implemented
in your research on the links between health insurance and HIV,
including, for example: a. What is the ideal intervention? b. Are
there exclusion criteria? (What is your target population?) c. What
factors you would want to match your groups on at baseline to
ensure a good comparison?

Added by Luis R.

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