scholarly journals Voter Registration Among People With HIV in North Carolina

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Asher J Schranz ◽  
Nadya Belenky ◽  
Haley A Moss ◽  
Sonia Napravnik ◽  
David L Rosen
Keyword(s):  
North Carolina ◽  
Health Status ◽  
Vulnerable Population ◽  
Voter Registration ◽  
Public Resources ◽  
Publicly Insured

Abstract Persons with HIV (PWH) represent a socially and medically vulnerable population who often depend on public resources. We examined voter registration among PWH in North Carolina. Sixty-four percent were registered to vote. Registration was lower among PWH who were young, Hispanic, publicly insured or uninsured, and who had poor HIV health status.

Health Status of a Low-income Vulnerable Population in a Community Health Center

2005 ◽  
Vol 28 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Suzanne Cashman ◽  
Judith Savageau ◽  
Maureen McMullen ◽  
Rebecca Kinney ◽  
Celeste Lemay ◽  
...  
Keyword(s):  
Health Status ◽  
Community Health ◽  
Health Center ◽  
Low Income ◽  
Community Health Center ◽  
Vulnerable Population

DENTAL HEALTH STATUS OF STUDENTS AT THE NORTH CAROLINA ADVANCEMENT SCHOOL

1970 ◽  
Vol 30 (4) ◽  
pp. 234-238 ◽  
Author(s):  
Richard F. Murphy ◽  
John T. Hughes ◽  
George G. Dudney
Keyword(s):  
North Carolina ◽  
Health Status ◽  
Dental Health ◽  
The North ◽  
Dental Health Status

Hiding

2021 ◽  
pp. 82-92
Author(s):  
Allan Hugh Cole
Keyword(s):  
North Carolina ◽  
Clinical Trials ◽  
Health Status ◽  
Movement Disorder ◽  
Phone Call

This chapter details a painful period of hiding the author’s illness from others, meaning before he shared his diagnosis publicly. The author recounts the experience of a strange phone call that a physician’s office in Houston made to his parents in North Carolina looking for him, which led to him lying to his mother about his health status. The author also reflects on his discomfort in a work meeting as he sat beside a colleague who is a neurologist, assuming that he could tell that the author had Parkinson’s. He also shares the experience of affiliating with a movement disorder clinic at Houston Methodist Hospital, where he could know about and participate in clinical trials.

Vulnerable population and health status in a neighbourhood in Zaragoza (Spain)

2012 ◽  
Vol 20 (6) ◽  
pp. 625-634 ◽  
Author(s):  
I. Aguilar-Palacio ◽  
M. Gil-Lacruz ◽  
A. I. Gil-Lacruz
Keyword(s):  
Health Status ◽  
Vulnerable Population

The Association between Travel Time and Prenatal Care Attendance

2019 ◽  
Vol 37 (11) ◽  
pp. 1146-1154
Author(s):  
Lauren Y. Maldonado ◽  
Kimberly E. Fryer ◽  
Christine M. Tucker ◽  
Alison M. Stuebe
Keyword(s):  
North Carolina ◽  
Prenatal Care ◽  
Travel Time ◽  
Multinomial Logistic Regression ◽  
Demographic Data ◽  
Logistic Regression Models ◽  
Black Patients ◽  
Marginalized Women ◽  
Publicly Insured ◽  
Hispanic White

Abstract Objective This study aimed to evaluate the association between a patient's travel time to clinic and her prenatal care attendance. Study Design We conducted a retrospective cohort study of women (≥18 years) who received prenatal care and delivered at North Carolina Women's Hospital between July 1, 2014, and June 30, 2016 (n = 2,808 women, 24,021 appointments). We queried demographic data from the electronic medical record and calculated travel time with ArcGIS. Multinomial logistic regression models estimated the association between travel time and attendance, adjusted for sociodemographic covariates. Results For every 10 minutes of additional travel time, women were 1.05 (95% confidence interval [CI]: 1.02–1.08, p < 0.001) times as likely to arrive late and 1.03 (95% CI: 1.01–1.04, p < 0.001) times as likely to cancel appointments than arrive on time. Travel time did not significantly affect a patient's likelihood of not showing for appointments. Non-Hispanic black patients were 71% more likely to arrive late and 51% more likely to not show for appointments than non-Hispanic white patients (p < 0.05). Publicly insured women were 28% more likely to arrive late to appointments and 82% more likely to not show for appointments than privately insured women (p < 0.05). Conclusion Changes to transportation availability alone may only modestly affect outcomes compared with strategically improving access for sociodemographically marginalized women.

Sign in / Sign up

Export Citation Format

Share Document