Author(s): Soo Yoo, Nguyen Pham, Ayan Diraye, Matthew Walsh, Maha Kaleem, Matteen Mahfooz
Mentor(s): Gail Therrien, IST Department
AbstractAuthor(s): Soo Yoo, Nguyen Pham, Ayan Diraye, Matthew Walsh, Maha Kaleem, Matteen Mahfooz
Mentor(s): Gail Therrien, IST Department
AbstractAuthor(s): Alvaro Olmo Jimenez
Mentor(s): John Robert Cressman, Department of Physics and Astronomy, Krasnow Institute for Advanced Studies
AbstractThis figure shows how the overall volume change varies if the sleep quality is disrupted. It is important to remark that in the microarousals simulation, 3 random intervals ranging from 1 and 5 seconds for each cycle were done and volume stimulation was stopped. Something similar was done for the less quality sleep simulation. In it 3 random intervals ranging from 5 and 15 seconds for each cycle were done and volume stimulation force was halved.
We can see the final values for each volume in this next figure.
Although it seems that the volume decrease is higher in the simulation with microarousals – suggesting that it has better glymphatic performance than varying sleep quality simulation – it is not. This is because the microarousals last less than the low stimulation stages. Thus, the simulation (with microarousals) would have less volume decrease if both periods– microarousals and low stimulation stages– lasted the same.
Now, from this data we can conclude that as sleep quality decreases, we observe a reduction in both overall volume changes and thus in glymphatic efficiency. This is consistent with previous findings that link slow-wave activity and stable sleep patterns with enhanced interstitial fluid movement and metabolic waste clearance.
Moreover, while volume stimulation contributes to mechanical shifts in brain tissue, electrical stimulation proves essential for preserving ionic balance. Without it, ATP-dependent pumps like the sodium-potassium pump become ineffective, leading to disrupted ion gradients and impaired homeostasis.
This underscores the critical role of electrical activity in maintaining proper cellular function, beyond just facilitating volume changes. The breakdown of ionic regulation in the absence of electrical stimulation highlights the interdependence of mechanical and electrophysiological processes in sleep. Together, these findings reinforce the complexity of accurately simulating sleep.
Ultimately, further research is needed in order to flawlessly replicate sleep, accounting not only for volumetric shifts and electrical rhythms, but also for how these elements dynamically interact over time. Accounting for the metabolic rate of the pumps.
Author(s): Timothy Kochany
Mentor(s): Jane Flinn, Psychology
AbstractAuthor(s): Armita Dadvar
Mentor(s): Sabine Doebel, Psychology
AbstractAuthor(s): Dayeon Shin
Mentor(s): Dakota McCarty, Department of Environmental Science & Policy
AbstractAuthor(s): Chayanan Maunhan
Mentor(s): Viviana Maggioni, Department of Civil, Environmental, and Infrastructure Engineering
AbstractHello! My name is Chayanan Maunhan and I am an undergraduate researcher in the Department of Civil, Environmental, and Infrastructure Engineering at George Mason University. Today, I’ll be presenting my research work, which is part of the broader Patriot EnviroWatch project.
My specific focus within the Patriot EnviroWatch project is monitoring water quality across Mason’s Fairfax campus, along with participating in preliminary air quality data collection.
The photos you see here show a few of the key sites where I collected samples under different weather and seasonal conditions.
Research like this is critical because stormwater runoff can carry pollutants that harm local streams, rivers, and eventually the Chesapeake Bay, while air pollution affects campus health and sustainability.
By measuring these indicators, we can evaluate the effectiveness of campus restoration efforts and help guide future environmental management.
In my research, I primarily focused on monitoring water quality across George Mason University’s Fairfax campus.
I used Vernier probes to measure key water quality parameters: pH, turbidity, conductivity, temperature, and dissolved oxygen concentration.
Chlorophyll levels, which provide insight into algae growth and nutrient enrichment, were measured using a Vernier spectrophotometer.
Although my main focus was water quality, I also contributed to preliminary air quality data collection at Mason’s Arlington campus using portable PurpleAir PM2.5 monitors.
The air quality data generally remained within EPA’s acceptable range, but a few instances exceeded 12 micrograms per cubic meter.
While still considered safe for most of the population, these elevated levels could pose some risk to sensitive groups, such as individuals with respiratory conditions.
These early results demonstrate the importance of continuing both water and air quality monitoring as part of Mason’s sustainability goals.
One important factor in environmental monitoring is that conditions constantly change.
After rainstorms, turbidity and nutrient levels often rise due to runoff carrying sediments and pollutants into streams.
During hot weather, dissolved oxygen levels can drop, stressing aquatic life.
In dry periods, conductivity often increases because of accumulated salts.
My research activities included collecting water quality field data during different seasons and weather conditions, contributing to preliminary air quality measurements, and analyzing trends in environmental conditions.
These efforts help support Mason’s broader sustainability goals, including improving stormwater management and protecting the Chesapeake Bay watershed.
I would like to sincerely thank my faculty mentor, Dr. Viviana Maggioni, the Patriot EnviroWatch research team, and Mason Facilities for their support and collaboration.
I would also like to acknowledge the OSCAR Undergraduate Research Scholars Program for providing funding and making this research opportunity possible.
Thank you for listening to my presentation.
Through this research, I’m gaining valuable experience in environmental monitoring and helping protect both Mason’s environment and the broader Chesapeake Bay watershed.
Author(s): Sarah Fenstermacher
Mentor(s): Kathleen Hunt, George Mason University Department of Biology & Smithsonian-Mason School of Conservation
AbstractOne of these hormones has been measured in NARW before (estradiol), but the other two (estrone and estriol) have never been measured in baleen whales before. We assumed that hormone extraction methods previously used would also work with these hormones, so we followed the protocol that Dr. Hunt developed.
Briefly, we measured the length of the baleen plate and used a dremel to generate powder every 4 cm along the length of the plate and then weighed the powder to 20mg. Hormones are then extracted from the powder using a MeOH-based protocol, followed by resuspension in assay buffer. Next, we performed enzyme immunoassays for each target hormone. This test allows us to calculate the target hormone concentration in each sample.
Because only one of these hormones has been previously validated for use in NARW baleen, my first objective was to ensure all three estrogen hormones could be reliably used in these samples. Specifically, I ran a parallelism test in each estrogen, and these are my results for that. On the x-axis of each graph, you see the log of the relative dose, and on the y-axis of each graph, you will see the percent of bound antibody. The goal for parallelism is for the standard curve to match the sample curve- both of which are made with serially diluted samples. I used a pooled dilution of non-pregnant samples from the two females (Stumpy and Staccato), and all three estrogens passed for parallelism. This meant that the sample curve was not significantly different from the standard curve (that means they were parallel to one another). We can see that the sample curve for E3 (estriol) only has 3 points; we did test other samples, but it appears a dilution greater than 1:4 did not have high enough concentration of the hormone to be detectable (but a 1:1 to 1:4 is detectable).
This project will continue into the summer, but I wanted to provide preliminary results of what we have seen so far. Because estradiol is typically a major pregnancy hormone, we wanted to assess it along the length of each baleen plate, providing longitudinal information during pregnancy, lactation, and non-pregnant (or resting) periods. We are working on continuing these assays along the length of the plate, so you will see some missing points, but we do have the results from one full pregnancy (in Staccato). Just to orient you on this graph, the x-axis provides the distance from the base (in cm), which really means time, and time moves forward from left to right (the very right side of the graph represents when the baleen plate was collected, meaning when she died).
On each of these graphs, the left y-axis and in the color blue, we can see the concentration of estradiol, while on the right y-axis and in the color green, is the previously published progesterone longitudinal profiles for each female. Stumpy on the left graph (a), has roughly the second half of a pregnancy shown on the left side of her graph (earlier in time), while Staccato (graph b) has an entire pregnancy and beginning of lactation shown. Though we are still working to fill in gaps, the results so far match what we expected. The hormone estradiol (E2) was relatively stable before pregnancy, but rose and peaked toward the end of pregnancy. Progesterone starts to elevate at the start of pregnancy, and maintains higher levels to the majority of a pregnancy.
So to summarize, assay parallelism validations were successful for E1, E2, and E3, which means that I will be able to analyze all three hormones along the length of both Stumpy and Staccato’s baleen plates. This furthers our understanding of the relationship between progesterone and the estrogens before, during, and after pregnancy. Once this is established, we may find similar patterns in other baleen whales, which will be interesting upon further study. This type of research will contribute to our understanding of large whale reproductive cycles, which is generally unknown, and will hopefully aid in population models and conservation efforts for this endangered species.
This project was funded by the OSCAR Undergraduate Research Student Program at George Mason. I’d also like to give a special thanks to my mentors Dr Hunt and Ms. Jelincic, for providing me with the guidance needed to complete this project. I also would like to acknowledge the Woods Hole Oceanographic Institute, for letting us borrow these archived baleen plates.
Thank you so much for listening and I hope you enjoyed learning about these incredible females, Stumpy and Staccato.
Author(s): Philip Acatrinei
Mentor(s): Pilgyu Kang, Mechanical Engineering
AbstractHello everyone, my name is Philip Acatrinei, I am an undergraduate student
at the department of Mechanical Engineering for GMU
I’m working with Dr. Pilgyu Kang
to bring laser manufactured 3D Graphene for flexible graphene-based doppler imaging
This video is part of OSCAR URSP’s Spring 2025 Celebration
And without further ado, lets get into it!
So a little bit about our lab,
is, we have a background in 2D materials, micro and nano
manufacturing mechanics,
nano bio sensors, nano-photonics, opto-fluidics, optoelectronics, and plasmonics
We’ve done some collaborative research in the past with Cornell,
NSF, PARADIM, and CNF
but most recently we’ve done a little bit of collaborative research with NASA
and our lab is located at the IABR building
at SCI-TECH campus
So, after a cardio-
-vascular surgery, its really important
to have bedside monitoring of blood fluid velocity, mainly of the aorta
to determine heart health of the patient
that’s great for us adults
but in pediatric surgery, children have much smaller bodies.
and the devices that are currently available for monitoring blood fluid velocity
are made for adults
so for children, they are usually too large and bulky to properly use.
That’s why we believe that it is very important
to have pediatric
blood fluid velocity sensors
to have safe monitoring of post-surgery heart health for children
Now, some commercially available blood fluid velocity sensors
have their advantages and disadvantages
some advantages are:
they’re common in hospitals around the world and the hospital staff are already trained on their use
They’re reusable which means multiple patients can use
the same device
multiple times in the device’s lifespan
and they’re accurate
they have real-time accurate data collection, they can display data, they have data storage available.
But, as touched on before, they do have some disadvantages.
Now, because of their increased size, they increase the risk
so, to use the devices in pediatric surgeries
the child’s chest must stay open and exposed.
Now, that is not a good thing if you want to have a safe monitoring of
blood fluid velocity to determine heart health.
and, again they are not conformable
so they’re not flexible or conformable to the human body, meaning
the chest must stay open and exposed
to integrate these sensors
to monitor blood fluid velocity
Some of the state of the art research tries to address this,
by using the PPG optical method, the DBUD method,
or any other method but most of them
read blood fluid velocity unobtrusively through the skin/fat layer
this is great because it is unobtrusive
But,
this is also its greatest weakness because they must be placed very specifically
or, they must be only
usable on specific parts of the body, say your fingertip
or a specific artery and you have to
very very carefully place it over that artery to make sure you’re aiming for it.
so they have their pros and cons too
Now, our novel approach
is a conformable device specifically developed for children
so we wanted it to be smaller and thinner to ensure flexibility and conformability
the materials need to be body-safe, robust, and flexible
and we want to utilize two materials:
we want to utilize PVDF, or
polyvinylidene fluoride, its a flexible piezoelectric polymer
that is better for this application than traditional ceramic piezoelectric elements
that are not flexible
and we wanted to utilize laser-induced graphene
which is a flexible, high surface area electrode that better interacts with PVDF
and that better interaction increases device performance
so to go about how our
device works, I want to give a practical example
So, everyone has
experienced the doppler effect in their life, whether you know it or not
but as an example, we can take an ambulance
everyone has heard an ambulance drive by
where it sounds high pitched
when its coming towards you and the seconds it passes you it magically lowers in pitch
now, that difference from the heard frequency
that what you’re hearing, say the higher or lower pitch compared to the pitch that the ambulance is constantly putting out
is called the doppler shift
and the doppler shift is directly proportional to the speed that the ambulance is going, or that you are going in relation to the ambulance
and we use this doppler shift as our working principle
So we have two doppler devices, one is an emitter and one is a receiver,
we emit ultrasound at a specific central frequency that we know
it will bounce off of a red blood cell and scatter. It will lose or gain energy
either increasing or lowering in pitch, and by measuring
the shift from the original central frequency, we are able to tell the speed of the red blood cells passing by.
So, we have again an emitter and receiver
but we also use, because we have two, we use constant wave doppler
if we had one emitter that also acted as a receiver, we would get loss of information
as, it could only receive or send it could never do both at the same time
but because we have an emitter and a receiver, we’re able to have loss-less information which is really really great.
Now, our device is specifically tuned to an angle theta of 15 degrees, so that we target
around 4mm into the aorta, which is the center where the velocity is the fastest
So a little talk about the materials that I very briefly glossed over
I wanted to start with our 3D porous graphene
to manufacture it we use a photothermal process via laser, a CO2 laser
that we use to lase polyimide sheets
which make our laser-induced graphene. It makes it simple, scalable and cost-effective
Now, its unique properties are great for our
purpose in flexible electrodes.
So we used a, in this case we used a four point probe method to find the sheet resistance which we found to be 5.35 ohms
which is very low, which is excellent for electronic applications but because of the structure, its very mechanically flexible and strong
and it has a great high carrier mobility, which is great for high speed electronics.
Some more advantages of it
are that it has an increased surface area, so the interface with PVDF is increased
and the electrochemical properties are increased for device performance
and again its mechanically flexible
so a little bit more about PVDF, or polyvinylidene fluoride
it starts off as a liquid that we pour, and then we cure it at 140 degrees Celsius to become a polymer
and because it starts off as a liquid
when we pour it on top of our laser-induced graphene, which is a porous structure,
the porous structure almost acts like a sponge, sucking in the PVDF liquid
so when it turns solid, we have a really incredible interface
between the PVDF and the laser-induced graphene with that high high surface area.
So we can not only have a cost effective additive manufacturing process
for putting the PVDF there, we can adjust the central frequency which is important for the human body
as 10 megahertz is the ideal
central frequency for going through the skin, skin and fat, and,
by changing the thickness of the PVDF layer, which is very easy to do
we can adjust the central frequency to whatever we want
and, PVDF is very flexible, its a very flexible piezoelectric polymer
that is perfect for wearable electronics or flexible electronics that we’re interested in
And a little bit about PDMS which I didn’t touch up on
It is the substrate that we place our sensor on to keep it at the 15 degrees angle theta
PDMS, also known as polydimethylsiloxane, is a sort of silicone
so, it starts off in two parts, a base and a curing agent as a liquid
you can then pour it into a mold and then when we remove it from the mold, we get a very flexible silicone
which is great because it is cost effective, it means we can do whatever we want for molds, its incredibly mechanically flexible
but, the most important thing for us is that it is optically clear
it does not effect our ultrasound waves in any way shape or form as its passing through
it doesn’t refract or lose energy which is incredible for us
and for what we are trying to achieve. So to test sensor performance
we do either d33 characterization, using an LCR meter
to determine piezoelectricity after poling and we use a phantom heart model which can set blood fluid velocity
and we can test our sensor readings against what we know the blood fluid velocity to be, to determine accuracy
Now some conclusions, we have found some advancements in acoustic transducers
via the laser-induced graphene and PVDF layers
we found some innovations in wearable electronics, all of these being flexible and conformable to the human body
now, I did want to say, there were some setbacks with this project over the semester
in the first half of the semester, we worked with a design
and we finished it and we got it ready for testing and then our collaborators at Children’s National Research Institute
told us that it wasn’t good enough and we had to redesign
and so the second half of the semester we spent redesigning and producing the new redesigned
thing, so unfortunately we were not able to test this semester with the d33 characterization or phantom heart
but we hope to do that very soon
and for potential applications we hope to see it used in pediatric surgeries and integrate it with a wireless platform for bedside heart health and blood monitoring
some acknowledgements I wanted to make were for Noemi Lily Umanzor who helped make the CAD model of the
device the new updated device’s design
she also helped me do some basic tasks around and made my life definitely a little bit easier with this project
I wanted to acknowledge the Chitnis lab and give a thanks to Dr. Parag Chitnis and especially Ehsan for helping us pole the PVDF and use their poling machine that they have on Fairfax campus
I want to thank our collaborators at George Washington University and our
contact with Children’s National Research Institute Dr. Kevin R. Cleary
And yeah, I think that is all– I can’t take questions unfortunately because this is a video, but I hope you can find me
on the day that we are doing posters which should be May 6th, and I’ll see you there! Thank you.
Author(s): Kiersten Jewell
Mentor(s): Amy Fowler, Environmental Science and Policy
AbstractAuthor(s): Jasmine Mendoza
Mentor(s): Jane Flinn, Psychology
AbstractTo begin, I’d like to define some key terms in my project. Alzheimer’s Disease is a neurodegenerative disease that affects learning and memory. Late-onset Alzheimer’s Disease is typically diagnosed in individuals age 65 and up, while early-onset Alzheimer’s Disease, which is much less common, is typically diagnosed in individuals below the age of 65.
Brain-derived neurotrophic factor, or BDNF, is an essential protein for learning and memory, as it promotes neuronal growth and plasticity. In contrast, Apolipoprotein E, or APOE for short, is a protein that helps metabolize fats, and there are three different alleles of the APOE protein. There’s APOE2, APOE3, and APOE4, with APOE4 being commonly associated with late-onset Alzheimer’s Disease, and it’s considered a high risk-factor for the disease.
Finally, the two key biological components of Alzheimer’s Disease are the peptide amyloid beta, or Abeta, which accumulates into plaques, and a version of the protein tau which has an excessive amount of phosphate groups attached to it, which is referred to as hyperphosphorylated tau, or p- tau, and this hyperphosphorylation causes it to accumulate into tangles.
The previous literature on Alzheimer’s Disease has largely found that APOE4 has detrimental effects on AD patients, usually exacerbating the cognitive deficits associated with the disease. For instance, the dual pathway hypothesis proposed by Small & Duff suggests that the accumulation of Abeta and p-tau happens independently but still parallel to each other, which eventually leads to neuronal death and cognitive decline, and that this accumulation may be facilitated by APOE4. Likewise, APOE4 has been found to reduce BDNF levels, which results in more severe cognitive deficits, as BDNF is a neuroprotective protein, therefore the reduced amounts of it are associated with more severe cognitive deficits, as found by Laske et al. in 2011. However, a recent study done by a graduate student who is also in my mentor’s lab, found results that suggest APOE4 and Tau may play a neuroprotective role when they are not in the presence of Abeta. The current literature has not yet examined how APOE4 and Tau interact with BDNF in the absence of Abeta, so this study aims to address that gap in the literature, and is also a continuation of that 2024 study by Booth in my mentor’s lab.
So, because this study is a continuation of the previous Booth study, the brains used come from mice that were separated into four different genotype groups and two different metal ion supplement groups, as those were the groups used in the Booth 2024 study. The four different genotype groups are those with APOE4, those with Tau, those with both APOE4 and tau, and wild type mice without either APOE4 or tau. The two metal ion supplement groups are those with zinc and those without any metal ion supplement. So, this study will use Western Blots, which is a technique which targets specific proteins and isolates them from other proteins in biological samples. And, the proteins are targeted through the use of antibodies which bind to the target protein and are prevented from binding to any other proteins by a process called gel electrophoresis. The primary antibodies that we’ll be using in this study are BDNF, of course, and Glyceraldehyde 3-phosphate dehydrogenase, or GAPDH, which will be used as a loading control. The secondary antibody will be mouse anti-rabbit, which will bind to the primary antibody and make it easier to visualize and quantify BDNF. And then the data will be analyzed in SPSS. As for the possible implications of this study, the findings of Booth (2024) were unlike those of previous studies examining the effects of APOE4 in Alzheimer’s Disease, as most previous studies, as we’ve discussed, have found negative effects of APOE4, while the results of his study actually found a possible neuroprotective effect that APOE plays. In his study, Booth does suggest that the ages of the mice used may have been a mediating factor in this effect, because the mice were younger, so it’s possible that APOE4 only plays a neuroprotective role in younger individuals. Thus, a future study could possibly examine the effects of APOE4 on BDNF in different age groups. Nonetheless, what we are hoping to find with this study is more information on the interaction of APOE4, Tau, and BDNF in Alzheimer’s Disease mice, which could eventually lead to new possible treatments involving APOE4 and Tau.
Finally, I would like to thank my mentor, Dr. Jane Flinn, as well as everyone in the Flinn lab, and I would also like to thank Dr. Karen Lee and URSP as a whole for providing funding and guidance throughout this project.
And here are my references. Thank you for your time, and I hope you enjoyed hearing about my study.
Author(s): Karina Cabrera
Mentor(s): Jennifer Salerno, Environmental Science and Policy Department
AbstractCorals are important ecosystem engineers that build up coral reefs and provide habitat for extremely diverse organisms to live in, supporting as many as 1/3 of marine species. They also benefit human communities near the coast by supporting ecotourism and reducing coastal erosion. In the Caribbean, staghorn and elkhorn corals were historically dominant reef-builders but have experienced over 90% decline in the past 4 decades due to bleaching and disease.
This unfortunate decrease not only puts reef ecosystems at risk but also threatens the organisms that depend on reefs for survival, including humans. One way to combat this decline is through coral restoration, and specifically a method called coral gardening, in which samples are taken from wild corals and then grown in controlled conditions so that the coral population for staghorn and elkhorn corals are restored. Despite this collection method being an easy and fast way to restore corals additionally helping increase population numbers, because this process relies strictly on asexual reproduction, it also means that the coral host and symbiont diversity decreases over time.
These photosynthetic dinoflagellate symbionts form obligate symbiotic relationships with the corals, and different symbiont taxa provide the host coral with benefits that aid coral resilience, such as thermotolerance or disease resistance. Because of this, understanding the phylogenetic diversity of these symbionts will help improve the effectiveness of coral restoration efforts. I am working with four coral restoration programs in the Bay Islands of Honduras, seen on this map, but these restoration programs do not currently have the necessary molecular facilities or financial resources to perform molecular symbiont identification. To address this need, my URSP project focuses on developing a relatively cheap and efficient assay to identify the coral symbionts.
Samples were collected from wild and restored populations of the two coral species being restored in Honduras, staghorn and elkhorn corals. 100 wild corals were collected from sites all around the island of Roatan, and 166 restored corals were collected from the four different restoration programs on Roatan and Utila. To identify the symbionts in these samples, I developed a protocol based on polymerase chain reaction (or PCR) and restriction fragment length polymorphisms (RFLP), originally developed by Rowan and Powers. This protocol amplifies the 18S rRNA gene in the symbiont and then cuts up the DNA. These different length fragments from different DNA sequences are what cause different banding patterns. These different patterns then correlate to the taxonomic clades that the symbionts belong to. As you can see these are the banding patterns for clade a, b, c, and d. Getting into my results, I first optimized the PCR step. Based on the original protocol, which incorporated lower-quality DNA extractions, I was not getting good amplification of the target gene from most of the samples as shown in this PCR blank gel. This is due to the DNA being too short for the banding to show up. Because this gene is very long, I switched the protocol to use higher quality DNA instead and received much better results. In this optimized gel there are clear bandings due to the DNA being of higher quality and longer. I am now working to optimize the RFLP portion of the protocol. The restriction appears to be working from the gel there is some banding appearing at 30 minutes and there is some double banding patterns present, which is expected for these symbionts, but was not separated enough so I let the gel run for an hour and saw that it had become blurry. Because of this, my next steps are to try optimizing the time in which the gel is run since an hour seems too long, but 30 minutes is not enough for the bands to become clear, so hopefully reducing the time will give us better and more clear results. Once I have optimized this portion of the protocol, I will screen all the wild and restored corals and share my results and the protocol itself with the four restoration programs in Honduras. This will help them design out planting schemes that maximize genetic diversity and ensure that the restored populations mimic the diversity found in the wild. This will help improve the effectiveness of restoration efforts in Honduras and help to build future reef resilience against ongoing climate change.
This research would not have been possible without the OSCAR URSP Program and the environmental science and policy department here at mason. Thank you to Teagen Corpening, Jennifer Keck, and all of the RIMS interns who helped to collect samples and made this research possible. Finally, I acknowledge all the funders who supported this project. Thank you for your attention!
Author(s): Kabir Toor
Mentor(s): Blake Silver, Department of Sociology and Anthropology
AbstractAccessing healthcare in the U.S. is challenging for many, but especially for individuals from low-income and immigrant backgrounds. My research asks: How do individuals from these communities navigate the healthcare system, and what barriers and resources shape their experiences? While much existing research has focused on health outcomes, this project focuses on the process of accessing care itself—how individuals recognize needs, seek services, and confront obstacles along the way.
Existing studies show that access to care is shaped by insurance status, financial barriers, language differences, and trust in healthcare institutions. For example, the author DeVoe et al. (2007) found that having insurance doesn’t always guarantee actual access to services. Further, Ngondwe et al. (2024) emphasized that immigrant communities often face additional bureaucratic and cultural hurdles. Given limited primary data collection, I analyzed trends across multiple major scholarly sources to anticipate key themes my survey was designed to capture.
The original study design involved creating an anonymous online survey distributed through community centers, hospitals, and doctors’ offices. The survey included multiple-choice and open-ended questions aimed at individuals identifying as low-income and/or immigrants. Participants were asked about their experiences navigating healthcare, including barriers encountered and resources utilized. Although direct survey responses were limited this semester, the survey framework was developed and approved for community distribution.
Using peer-reviewed studies as reference, several consistent themes were identified. For Barriers: High healthcare costs, insurance gaps, communication difficulties, and transportation challenges were identified. For Facilitators: Access to community health centers, family support systems, and bilingual healthcare providers were identified. It is important to note that even individuals with insurance often struggled with actual access to needed services, showing that coverage alone is not enough.
Due to timing constraints, comprehensive primary data could not be collected during the allotted time. The current findings are based on anticipated trends and literature synthesis rather than direct participant responses. This limitation highlights the need for continued participant outreach to fully validate the study’s themes.
Moving forward, I plan to continue gathering survey responses through additional outreach at community centers and clinics. Once a robust sample is collected, I will perform a qualitative analysis using open codebook methods. This process will allow for the identification of emergent patterns directly from participants’ narratives, strengthening the study’s contributions to healthcare policy and access research.
So what are the implications, well, the findings suggest that reforms must go beyond expanding insurance access to address cultural, logistical, and systemic barriers. Community-driven solutions and culturally competent healthcare systems are critical to bridging gaps in access. This project reinforces the importance of centering underserved voices in future healthcare policy discussions.
I would like to thank Dr. Silver, my mentor, for his ongoing support and guidance. I would also like to thank the OSCAR URSP for funding this research, and I would like to thank the Department of social science at George Mason University. That concludes my presentation. Thank you for your time and attention.