![]() As such, it may be the case that White Americans are better able to deploy financial resources in order to travel to undergo surgical care far from their homes. As most individuals begin to qualify for Medicare insurance at age 65 years, it is possible that the differences in insurance provider are based in large part on age. As noted previously, older individuals were found to be more likely to travel great distances to receive care. geodist is a standalone implementation of geonears distance routines and is available from SSC. The present data also indicate that patients with greater financial resources are more likely to travel long distances to receive care. the length of the shortest curve between two points along the surface of a mathematical model of the earth. This may be due to the cost of transportation and lodging for family members accompanying patients. In addition, individuals with higher income levels may be better positioned to take off time from work and other pursuits such as child care to travel a great distance to receive a joint replacement procedure than their less well-off counterparts. It is also possible that access for patients on Medicare in rural settings has declined with declining reimbursements, forcing these patients to travel farther, although more granular data are needed to define this relationship. It is likely that the demographic characteristics assessed in this analysis interact with one another in various ways. Understanding the complex associations between these variables may allow improved predictions regarding which patients are more likely to travel great distances to receive care and why. ![]() Im new to Stata and I am trying in vain to create a. Im using geodist to calculate the distance, so I had in mind that something similar might exist for evaluating relative direction/angle. I have completely forgotten how to use it since. S (2011) Notes on CEPII's distances measures: the GeoDist database. My only experience with STATA was during a course 2 years ago using it in uni’s computer lab. I did make sure that for any particular year, a state only appears once though. Am Econ Rev 94(3):753763 Huber S (2017) PRODY: Stata module to calculate factor. Our data suggest that, on average, older, sicker patients with greater financial resources are able to travel far from home in order to receive the care that they require. After keeping only one year and running maptile eitc, geo(state) geoid(statefips) I get the error that state and statefips do not uniquely identify observations in the master data. However, patients who have similar comorbid conditions and advanced age but limited resources may not be able to travel to a tertiary care facility to undergo THA.
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