Document Type
Dissertation
Degree
Doctor of Philosophy (PhD)
Major/Program
Public Health
First Advisor's Name
Alejandro Arrieta
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Gilbert Ramirez
Second Advisor's Committee Title
Committee Member
Third Advisor's Name
Nan Hu
Third Advisor's Committee Title
Committee Member
Fourth Advisor's Name
Richard Olson
Fourth Advisor's Committee Title
Committee Member
Keywords
health services research
Date of Defense
6-29-2023
Abstract
Despite higher health risks immigrants often have better health outcomes for all conditions compared to non-immigrants, as observed in the Hispanic Paradox. Primary care is assessed through ambulatory care-sensitive conditions (ACSC) which are conditions that with timely/effective care can prevent disease complications and hospitalizations. In this dissertation we look at the utilization and expenditure on ACSC for immigrants in the U.S. and predict immigration flow following EE using internet data.
We use the Medical Expenditure Panel Survey to assess the utilization and expenditure for healthcare services on ACSC and non-ACSC in emergency, inpatient, and outpatient settings for immigrants compared to U.S.-born citizens using linear regression and generalized linear models respectively. We evaluated utilization of two immigrant groups categorized by their length of stay in the U.S.: new (less than 5 years) and old (5 years or more). We found differences in utilization and expenditure between immigrants and U.S.-born for ACSC and non-ACSC, as well as differences in each clinical setting. We found differences between the groups. The third paper proposes the use of location-specific unique terms from the internet to predict immigration utilizing dynamic factor and linear regression analyses to validate against the U.S. census. We discuss the methods and limitations associated with this approach.
This study's analysis underscores the importance of a targeted approach, considering specific conditions and clinical settings, to address healthcare disparities and improved outcomes for immigrant populations. Accurate prediction of immigration can inform policymakers and healthcare leaders to address equitable healthcare access regardless of immigration status.
Identifier
FIDC011150
ORCID
https://orcid.org/0000-0002-3938-5951
Recommended Citation
Carey, Kai Alexander Daniel, "Healthcare Utilization and Expenditure of Immigrants, and Predicting Immigration Flows to the U.S." (2023). FIU Electronic Theses and Dissertations. 5425.
https://digitalcommons.fiu.edu/etd/5425
Rights Statement
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).