Access to Healthcare in a Free Clinic Population: What Are the Barriers
Elkins, Cinthia Lisa
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/86393
Description
Title
Access to Healthcare in a Free Clinic Population: What Are the Barriers
Author(s)
Elkins, Cinthia Lisa
Issue Date
2008
Doctoral Committee Chair(s)
Rich, Robert F.
Department of Study
Kinesiology and Community Health
Discipline
Kinesiology and Community Health
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Sociology, Public and Social Welfare
Language
eng
Abstract
Objectives. This exploratory study examined the barriers to health care and the levels of access to health care that were achieved by a convenience sample of people who were seeking health care at a free clinic in Champaign, Illinois during the summer of 2006. Methods. Survey of a convenience sample of 131 people which contained a new set of measures for Achieved Access to Health Care that utilized a Likert scale, 40 barrier questions that were aggregated into 10 barrier variables, the Quality Metric 12-v2 survey instrument for measuring health status, and demographic questions. An ordinal regression model used barriers, health status, and demographics to predict achieved access to health care. Follow-up interviews of 24 patients who were referred for chronic or specialty care provided additional qualitative data. Results. 6% achieved access to all needed care in the past year, while 30 to 50% got none of the care they needed depending on type of care. Three barrier types had statistically significant effects, and number of barriers had a large effect in the regression model. Better health status had a negative effect on achieving access to care in the regression model. Conclusions. Finances was a severe and prevalent barrier that nearly everyone experienced and there was no variance with which to measure the effect on access in the regression model. Transportation, Knowledge, and Bad Experiences were less prevalent barriers that had large and significantly negative effects on ability to achieve access to needed healthcare. Medical Debt was a major barrier to accessing needed healthcare and, compared to a survey of the same population from five years earlier, had become more severe and more prevalent for this population. Some people who manage to gain access to safety net services in the area fare well and are able to get the care they need, but many more are left to do without.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
