One main problem for patients living in underserved or rural areas is that healthcare places offering diabetes eye exams are hard to get to. For example, in Richmond, California, where most people speak only Spanish, less than 10% of diabetic patients got yearly eye exams. Many said it was hard to travel to specialists because there were few ways to get there. Needing reliable transport and dealing with costs or scheduling conflicts made it tough for patients to get regular checkups.
In places with many non-English speakers, like Latino/x patients on Medi-Cal insurance, language can be a big problem. These patients often feel uneasy getting care outside their local community clinics. Misunderstandings and communication troubles may cause missed appointments or make them avoid care. Providing healthcare that respects culture and language inside primary care clinics helps lower these problems.
Visits to eye specialists for diabetic exams can be expensive and may not be fully covered by insurance. This is especially true for patients with limited insurance or low income. Because of money issues, many do not get regular screenings. Rural family medicine centers and federally qualified health centers often care for underserved people who have limited coverage. This stops many from seeing specialists and causes gaps in their care.
Sometimes people do not know much about diabetic retinopathy because early stages have no symptoms. They might not realize why routine eye exams are important or might focus more on other health problems. Also, some primary care doctors do not have smooth systems to make sure diabetic patients get timely eye exams, which leads to missed screenings.
One way to fix access problems is to provide diabetic eye exams right inside primary care or community clinics. For example, a nine-day pilot program in a rural Pennsylvania clinic helped close 18% of quality gaps by lending a retinal imaging device called RetinaVue 700 Imager. Student pharmacists and medical assistants did the exams after checking patients by phone for eligibility and consent. Then an ophthalmologist looked at images remotely.
Also, the William Jenkins Health Center in Richmond worked with Spect, a Silicon Valley start-up. Spect made portable eye exam devices using an iPhone paired with a special camera. This tool lets medical assistants or doctors do eye exams on-site without needing a specialist. One year later, the number of patients getting diabetic eye exams rose from about 10% to 40%.
Working together, pharmacists, medical assistants, and doctors can improve diabetes care, including eye screenings. In the Pennsylvania clinic, a diabetes care pharmacist managed care under a collaborative agreement. Student pharmacists took retinal images, and medical assistants helped with exams. This team approach made sure patients got yearly screenings while using clinic resources well.
These methods let care teams share work and improve patient health by adding eye exams to regular diabetes visits, lowering the need for separate specialist visits.
Programs aimed at communities with one main language or distinct cultures understand they must adapt services to patient needs. The California Health Care Foundation gave $475,000 to Spect to improve access for Latino/x populations on Medi-Cal. Using technology in community clinics where patients feel comfortable and offering bilingual help makes screening easier. This reduces patient worry about language or strange settings.
Money from government groups or healthcare organizations is key to growing these programs. The California Health Care Foundation’s support of Spect shows how financial help can improve healthcare fairness. These funds help clinics buy needed equipment and train workers. The goal is to cut long-term problems caused by undiagnosed diabetic retinopathy.
Portable devices like Spect’s camera that attaches to an iPhone let clinics do eye exams without big, costly machines. Trained medical assistants or primary care providers can use these devices after simple training. Using these devices inside clinics means patients don’t need to go elsewhere, making it easier and faster.
Spect’s system uses a remote team to help providers during exams. When a medical assistant takes images, a virtual team checks the quality and guides the process. This lets providers without eye specialist training perform accurate tests. Ophthalmologists then review images from afar and send reports quickly.
This telemedicine method reduces reliance on specialists being physically present and can work well in rural or underserved clinics where few eye doctors are available.
AI programs are now used to study images to find signs of diabetic retinopathy and other eye diseases. Even though these tools are still improving, they aim to make diagnosis faster and more accurate while lessening provider work. Ankur Gupta, MD, MS, co-founder of Spect, hopes AI will also help spot brain diseases like Parkinson’s and Alzheimer’s. The eye is sometimes called the “check engine light” of the body because it can show health problems through images.
Adding AI diagnostics in primary care may help catch illnesses sooner and guide doctors to make quicker decisions on treatment or referrals.
Automating scheduling, reminders, exam recording, and result sharing helps increase screenings and improve care coordination. IT managers can support this by linking AI tools with Electronic Health Records (EHRs). This allows easy patient tracking and reporting of quality measures.
Streamlining these tasks helps clinics close care gaps more easily and meet national quality standards like HEDIS.
Making diabetes eye exams easier to get in underserved communities lowers preventable blindness and vision loss. Finding diabetic retinopathy early lets doctors treat it on time with laser or medicine to stop it from getting worse.
Also, providing eye exams during regular primary care visits helps spot other diabetes problems like heart disease and kidney failure. Dr. Justin Chin at LifeLong Medical Care said the time patients spend on eye dilation can also be used to check other health issues, helping the whole care process.
For patients, especially Latino/x and monolingual ones, getting eye exams in their own community clinics makes them feel more comfortable and trusting. This improves how often they follow advice about yearly screenings.
By taking these steps, providers can overcome common barriers and help reduce eye health differences among diabetic patients.
Diabetic retinopathy is still a big challenge for diabetes care, especially in underserved parts of the United States. But using portable imaging devices, AI support, team care models, and culturally aware approaches has shown real improvements in screening rates. Medical practice administrators, owners, and IT managers can help improve access to diabetes eye exams and support better patient health by using workflow automation and new technology.
Access and transportation challenges were significant barriers, particularly for a predominantly monolingual Latino/x population. Many patients felt uncomfortable navigating the healthcare system outside their community clinic and reported issues like lack of reliable transportation and time off from work.
Spect enabled in-house diabetes eye screenings using a portable device, allowing clinics to perform exams on-site. Within a year of implementation, screening rates at LifeLong Medical Care increased from about 10% to 40%.
Spect utilizes a specialized camera attached to an iPhone, enabling medical assistants or physicians to conduct eye exams with remote assistance from a virtual team that analyzes the images and provides reports.
The investment aims to increase equitable access to diabetes eye exams, particularly for underserved demographics such as Latino/x and those on Medi-Cal, reducing long-term complications of diabetes.
Providers receive real-time guidance and support from Spect technicians during eye exams. After image capture, ophthalmologists analyze the images and send diagnostic reports, simplifying the process for primary care providers.
Undiagnosed diabetic retinopathy can lead to preventable vision loss and blindness, exacerbating other serious diabetes complications such as cardiovascular disease and kidney failure.
Spect aims to leverage AI to detect other health conditions beyond diabetic retinopathy, including neurodegenerative diseases and cardiovascular risks, enhancing its role in preventive health.
Portable devices like Spect’s camera reduce reliance on stationary and expensive equipment, enabling community clinics to provide essential services directly to patients, thereby increasing healthcare accessibility.
Spect’s founders envision a future where eye screening devices are common in households, allowing individuals to monitor their eye health and potentially detect other health issues early.
Spect’s approach allows primary care providers to address multiple health issues during a single visit, promoting comprehensive care that aligns with value-based care goals to improve patient outcomes.
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