The Provider Score for the Lung Cancer Score in 17880, Swengel, Pennsylvania is 41 when comparing 34,000 ZIP Codes in the United States.
An estimate of 91.60 percent of the residents in 17880 has some form of health insurance. 33.61 percent of the residents have some type of public health insurance like Medicare, Medicaid, Veterans Affairs (VA), or TRICARE. About 57.98 percent of the residents have private health insurance, either through their employer or direct purchase. Military veterans should know that percent of the residents in the ZIP Code of 17880 have VA health insurance. Also, percent of the residents receive TRICARE.
For the 35 residents under the age of 18, there is an estimate of 1 pediatricians in a 20-mile radius of 17880. An estimate of 0 geriatricians or physicians who focus on the elderly who can serve the 0 residents over the age of 65 years.
In a 20-mile radius, there are 2,001 health care providers accessible to residents in 17880, Swengel, Pennsylvania.
Health Scores in 17880, Swengel, Pennsylvania
Lung Cancer Score | 45 |
---|---|
People Score | 55 |
Provider Score | 41 |
Hospital Score | 49 |
Travel Score | 41 |
17880 | Swengel | Pennsylvania | |
---|---|---|---|
Providers per 10,000 residents | 0.00 | 0.00 | 0.00 |
Pediatricians per 10,000 residents under 18 | 0.00 | 0.00 | 0.00 |
Geriatricians per 10,000 residents over 65 | 0.00 | 0.00 | 0.00 |
## Lung Cancer Score Analysis: Doctors in 17880 and Primary Care in Swengel
This analysis delves into the landscape of healthcare accessibility and quality within the 17880 ZIP code, focusing on factors relevant to lung cancer care. We will examine the availability of primary care physicians, a critical entry point for early detection and management, and assess the broader healthcare environment, including telemedicine adoption and mental health resources, all within the context of lung cancer diagnosis and treatment. The goal is to provide a nuanced understanding of the strengths and weaknesses of the local healthcare system, ultimately impacting the Lung Cancer Score.
Swengel, Pennsylvania, a community within the 17880 ZIP code, serves as a focal point for this analysis. Understanding the primary care landscape in Swengel is paramount. A robust primary care network, with readily accessible physicians, is essential for early lung cancer detection. This includes regular check-ups, screenings, and the timely referral of patients with suspicious symptoms. The availability of primary care directly impacts the likelihood of early diagnosis, which significantly improves patient outcomes.
Physician-to-patient ratios are a crucial metric. A high ratio, indicating a shortage of physicians relative to the population, can lead to longer wait times for appointments, delayed diagnoses, and potentially, poorer health outcomes. Conversely, a lower ratio suggests greater accessibility to care. Analyzing the physician-to-patient ratio within 17880, specifically for primary care physicians, provides a critical baseline for assessing the overall health of the system. This data, combined with information on the age and health status of the population, will help paint a more comprehensive picture.
Beyond raw numbers, the quality of primary care is equally important. This includes the experience and specialization of the physicians, the services offered by their practices, and the overall patient experience. Practices that prioritize preventative care, offer comprehensive screening services, and have strong referral networks are better equipped to address the complexities of lung cancer. Identifying standout practices within 17880, those that demonstrate excellence in patient care and a commitment to early detection, is essential for a comprehensive assessment.
Telemedicine adoption is another key factor. The use of telehealth services can significantly improve access to care, especially for patients in rural areas like Swengel. Telemedicine can facilitate virtual consultations, remote monitoring, and access to specialists, potentially reducing the need for travel and improving patient convenience. The extent to which practices in 17880 have embraced telemedicine, and the types of telehealth services they offer, will be assessed. This includes evaluating the availability of virtual appointments, remote patient monitoring programs, and access to specialist consultations through telemedicine platforms.
The mental health of patients is often overlooked in the context of cancer care, but it is critically important. A lung cancer diagnosis can be emotionally devastating, leading to anxiety, depression, and other mental health challenges. The availability of mental health resources, such as therapists, counselors, and support groups, within the 17880 area is a crucial component of a comprehensive Lung Cancer Score. Assessing the integration of mental health services into primary care practices, and the availability of specialized mental health support for cancer patients, is a key factor.
The analysis will also consider the availability of specialized lung cancer care within the region. This includes access to pulmonologists, oncologists, radiation oncologists, and thoracic surgeons. The presence of these specialists, and their proximity to patients in 17880, directly impacts the ability to provide timely and effective treatment. The analysis will assess the referral patterns of primary care physicians, the availability of specialized treatment centers, and the overall coordination of care for lung cancer patients.
Furthermore, the analysis will examine the resources available for lung cancer screening and early detection. This includes the availability of low-dose computed tomography (LDCT) screening, which is recommended for individuals at high risk of developing lung cancer. The analysis will assess the number of screening facilities within the 17880 area, the accessibility of these facilities, and the awareness of screening guidelines among primary care physicians.
The Lung Cancer Score will be a composite metric, reflecting the various factors discussed above. It will consider physician-to-patient ratios, the quality of primary care, telemedicine adoption, mental health resources, access to specialists, and the availability of screening services. The score will provide a comprehensive assessment of the healthcare environment within 17880, specifically as it relates to lung cancer care. The score will be presented in a way that is easily understood and allows for comparison with other regions.
The final Lung Cancer Score will provide a valuable tool for patients, healthcare providers, and policymakers. It can be used to identify areas where improvements are needed, to inform healthcare planning, and to help patients make informed decisions about their care. The score will also highlight the strengths of the local healthcare system, recognizing the efforts of healthcare providers who are dedicated to providing high-quality care.
The analysis will also consider the demographic characteristics of the population within 17880, including age, socioeconomic status, and smoking history. These factors can significantly impact the risk of developing lung cancer and the need for healthcare services. The analysis will incorporate these demographic factors to provide a more nuanced understanding of the healthcare needs of the community.
In conclusion, a thorough assessment of the healthcare landscape within the 17880 ZIP code, focusing on the availability and quality of primary care, the adoption of telemedicine, the availability of mental health resources, and access to specialized lung cancer care, is essential for developing a meaningful Lung Cancer Score. This score will provide valuable insights into the strengths and weaknesses of the local healthcare system, ultimately impacting the ability to provide timely and effective care to individuals at risk of, or diagnosed with, lung cancer.
To further explore the healthcare landscape in 17880 and visualize the data, including physician locations, practice types, and resource availability, we encourage you to visit CartoChrome maps. CartoChrome provides interactive mapping tools that allow you to analyze and understand healthcare data in a visual and accessible way.
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