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From | Joerg Luedicke <joerg.luedicke@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st:measuring health care needs |
Date | Wed, 7 Mar 2012 07:15:18 -0800 |
This seems to be more like a theoretical question. What exactly do you mean with "health needs"? If it is supposed to measure some kind of demand for health care then the health care expenditures and/or doctor and hospital visits etc. themselves are probably the best measures already: people with higher needs for health care cost more money and so, expenditures would be a direct measure for these "needs". (Just as you would look at how many items of product x were sold if you were interested in the demand for that product.) The 4 measures that you mention are rather indirect measures for health care demand, and, moreover, each is picking up quite different stuff. So I don't know what your more general framework/project/theory and finally your research question is but if you have health care expenditures and doctor visits you already have a direct behavioral measure for health care demand. J. On Wed, Mar 7, 2012 at 3:21 AM, Doris Kirigia <dkirigia@kilifi.kemri-wellcome.org> wrote: > Hello, > I have a household health expenditure and utilisation survey data and would like to use 4 variables: > mortality, self_assessed_hs (health status), illness_4wks and chronic_illness - independently to measure health needs. My question is, which is the best method in STATA to undertake such an analysis? > > The question I am trying to address is whether the distribution of health need would differ by the measure or put differently, would either of the variables explain health need better? > > Thank you, > Doris > > > ______________________________________________________________________ > > This e-mail contains information which is confidential. It is intended only for the use of the named recipient. If you have received this e-mail in error, please let us know by replying to the sender, and immediately delete it from your system. Please note, that in these circumstances, the use, disclosure, distribution or copying of this information is strictly prohibited. KEMRI-Wellcome Trust Programme cannot accept any responsibility for the accuracy or completeness of this message as it has been transmitted over a public network. Although the Programme has taken reasonable precautions to ensure no viruses are present in emails, it cannot accept responsibility for any loss or damage arising from the use of the email or attachments. Any views expressed in this message are those of the individual sender, except where the sender specifically states them to be the views of KEMRI-Wellcome Trust Programme. > ______________________________________________________________________ > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/