Demographics and Clinical Profiles of Patients Visiting a Free Clinic in Miami, Florida

Disparities in Patient Demographics at a Student-Run Free Clinic: Comparing Clinic Utilization to City, State, and National Trends

BACKGROUND

With 8.4% of Americans uninsured, free clinics serve as essential safety nets for underserved populations. This study compared the demographics of the patients of a student-run free to Toledo, Ohio, and national census data to evaluate health needs, barriers to care, and the characteristics of the underserved population.

METHODS

A retrospective review of 1,338 visits across five clinic sites was conducted from February 2023 to February 2024. Demographic variables, including race, insurance, education, sex, and primary language, were analyzed and compared to 2020 Census data from Toledo, Ohio, and the United States.

RESULTS

Compared to Toledo, the clinic served 22.63% fewer White patients, 17.27% more Hispanic/Latino patients, and 5.62% fewer African American patients. Among clinic patients under 65 years, 61.91% were uninsured, compared to 8.3% in Toledo and 10.2% nationally. Non-English speakers were overrepresented (33.4% vs. 6.8% in Toledo and 9.5% nationally), with Spanish speakers making up 21.72% of clinic patients compared to 3.2% in Toledo. Educational attainment differed slightly, with fewer high school graduates (82.97% vs. 87.10% in Toledo) but more individuals with higher education degrees (27.10% vs. 19.6% in Toledo and 25.6% nationally).

CONCLUSIONS

This study underscores the demographic differences between CCC patients and city, state, and national populations, offering insight into the populations most reliant on free clinics. Policymakers and public health agencies must consider these disparities to tailor interventions addressing healthcare access and social determinants of health.

Assessing the Impact of Demographic Factors on Presenting Conditions or Complaints Among Internal Medicine Patients in an Underserved Population in Central Florida

Background and objective

Patients’ demographics (race, age, gender, and ethnicity) have been determined to affect patients’ health status. It has been established that chronic disease prevalence varies by race, age, gender, and ethnicity; however, not much is known about how these demographic factors influence presenting conditions or complaints within a student-run clinic (SRC). This study aimed to investigate how demographic factors in the Apopka community in Florida determine what internal medicine (IM) conditions or complaints patients present with at a student-run free clinic.

Methods

Electronic medical record (EMR) data for adult patients seen at the clinic from February 2019 to February 2020 were reviewed to collect information on patient demographics, IM presenting conditions or complaints, and body mass index (BMI). Binary logistic regressions were employed to investigate the relationship between demographic factors and presenting conditions or complaints.

Results

The majority of the patients were female (62.2%), with an almost equal representation of Hispanic (50.3%) and non-Hispanic individuals. About half of the patients visiting the clinic were either overweight or obese. Of the 167 patients, the average age was 44.17 and 44.32 years for males and females respectively. The most common presenting conditions or complaints included cardiac conditions (25.07%), diabetes (9.64%), gastric pain (9.21%), and upper respiratory infection (URI)/allergies (6.15%). Cardiac conditions were further broken down into hypertension (18.94%), dyslipidemia (3.94%), and palpitations (2.19%). Patient age was a contributing factor to the incidence of diabetes (p=0.002), hypertension (p<0.0001), and cardiovascular conditions excluding hypertension (p=0.021). There was a significant relationship between obesity and diabetes (p=0.036) and hypertension (p=<0.001).

Conclusion

SRCs can make use of the information obtained from this study to advocate for coverage of medications to treat diabetes and hypertension in this undocumented population to prevent morbidity rates. We believe our findings can also provide guidance in terms of instituting screening programs for these illnesses among the broader population and SRCs with different patient makeups.

Racial Differences in Prevalence of Cardiometabolic Morbidities Among Homeless Men

INTRODUCTION

Homelessness is associated with an increased risk of cardiometabolic morbidities. However, few studies have been performed to evaluate the racial differences on these morbidities commonly seen in the homeless.

METHODS

A retrospective chart review was conducted to examine the racial differences in the prevalence of cardiometabolic morbidities among the homeless men served at a local health care screening clinic. Medical information was extracted and collated into a single Excel spreadsheet. Racial differences in cardiometabolic morbidities were evaluated using multivariable binary or ordinal logistic regression analyses, adjusting for age, body mass index, and smoking status.

RESULTS

Of the 551 homeless men, 377 (68.4%) were Black, and 174 (31.6%) were White. The mean age (47.8±11.9 years) of Black homeless men was significantly older than that (45.4±13.0 years) of White homeless men (p=0.03). Blacks were 2.7 (95% CI = 1.75, 4.16) times more likely to be in the less desirable HbA1c categories than Whites. By contrast, Blacks were less likely to have non-desirable lipid profile than Whites. Blacks were 0.42 (95% CI = 0.29, 0.62) times and 0.51 (95% CI = 0.28, 0.94) times likely to be in the non-desirable high-density lipoprotein (HDL) and low-density lipoprotein (LDL) categories than Whites, respectively.

CONCLUSION

Black homeless men are more likely to have pre-diabetes or diabetes than White counterparts. On the other hand, Black homeless men have better lipid profiles of HDL or LDL than their White counterparts. Our findings reveal the health challenges of the homeless men and can provide guidance on policy changes related to diet and nutrition of meal programs provided by homeless shelters and congregate meal program to address the health disparities by race in this population.

Response to a letter: "Plastic surgery in a student-run free clinic"

N/A.