1. A Cross-Sectional Study Evaluating the Use of Free Clinics in Syracuse, NY: Patient Demographics and Barriers to Accessing Healthcare in Traditional Settings
- Author
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Simone Arvisais-Anhalt, Michael Rosenthal, Matthew MacDougall, Peter Congelosi, Daniel F. Farrell, and Paula Rosenbaum
- Subjects
Adult ,Male ,medicine.medical_specialty ,Health (social science) ,Cross-sectional study ,Free clinic ,Population ,New York ,Medically Underserved Area ,Ambulatory Care Facilities ,01 natural sciences ,Health Services Accessibility ,Insurance Coverage ,film.subject ,03 medical and health sciences ,0302 clinical medicine ,Residence Characteristics ,Health care ,medicine ,Humans ,030212 general & internal medicine ,0101 mathematics ,education ,Poverty ,Socioeconomic status ,Medically Uninsured ,education.field_of_study ,Descriptive statistics ,business.industry ,Public health ,010102 general mathematics ,Public Health, Environmental and Occupational Health ,Middle Aged ,Patient Acceptance of Health Care ,Health indicator ,United States ,Cross-Sectional Studies ,film ,Family medicine ,Female ,business - Abstract
Free clinics provide healthcare to underserved patient populations, playing a critical role in the medical safety-net. Syracuse, New York has notable racial, socioeconomic, and educational disparities and is home to four free clinics. Little is known about these clinics’ patient population. This study attempts to better define this population and the barriers they face accessing traditional care. We developed a 27-question survey investigating patient demographics, barriers to traditional healthcare, and experience at local free clinics. Our analysis included descriptive statistics, t-tests, one-way ANOVA and Chi square testing. Of 287 patients surveyed, 55% of patients were employed, 78% were uninsured, and 43% cited cost as their primary barrier to insurance. 29% rated their health as fair or poor. 21% had been to the Emergency Room (ER) in the past six months. 38% stated they would go to the ER if free clinics did not exist. Insurance coverage was unrelated to education or employment status (p = .52 and .81, respectively), but differed significantly between racial and ethnic groups (p
- Published
- 2018
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